ORIGINAL_ARTICLE
Derivation of River’s Cross-Section Hydraulic Relationships Using Inverse Modeling
In this study, a methodology is presented in which hydraulic relationships including mathematical formulas for the variations of the flow area, the wetted perimeter and the flow top width with the depth are computed by inverse solution of the Saint-Venant equations. The main focus is on the comprehensiveness and applicability of the method in practical conditions. Also, one application of the presented method in the case of flood routing is presented. In the context of river hydraulics, inverse modeling usually refers to the estimation of the Manning roughness coefficient via calibration process or identifying boundary conditions by measuring the flow properties inside the domain i.e. water level or flowrate records ( Ding and Wang, 2005, Fread and Smith, 1978, Khatibi et al., 1997, Nguyen and Fenton, 2005). Inverse problems are often inherently ill-posed; and this leads to some difficulties in solving them in comparison with forward problems. Some essential issues must be considered in solving inverse problems including solution existence, solution uniqueness and solution stability (Hansen, 1998). The underlying idea of the present research is to identify the mathematical formulas of geometric-hydraulic relationships for river cross sections. In this case, the unknown parameters are determined in the functional form by inverse solution of the Saint-Venant equations. The proposed model is validated using hypothetical and real test cases; and in each case the actual and identified geometric-hydraulic relationships are compared. Additionally, application of the method is showed for the case of hydraulic flood routing in conditions where no information is available about river cross sections; and water level data records are used instead of river cross sections data.
https://jise.scu.ac.ir/article_14077_11e01c06af800984095f8142e2535eda.pdf
2019-03-21
1
14
10.22055/jise.2017.20269.1471
Saint-Venant equations
River cross-sections
Flow Cross-Sectional area
Wetted perimeter
Flow top width
Soodeh
Kalami
s.kalami@modares.ac.ir
1
Graduate Student, Department of Water Structures, Tarbiat Modares University, Tehran, Iran.
AUTHOR
Mehdi
Mazaheri
m.mazaheri@modares.ac.ir
2
Assistant Professor, Department of Water Structures, Tarbiat Modares University, Tehran, Iran
LEAD_AUTHOR
Jamal
Mohamad Vali Samani
samani_j@modares.ac.ir
3
Professor, Department of Water Structures, Tarbiat Modares University, Tehran, Iran.
AUTHOR
1- Abida, H., 2009. Identification of compound channel flow parameters. Journal of Hydrology and Hydromechanics, 57(3), pp.172-181.
1
2- Akan, A. O. 2011. Open Channel Hydraulics: Butterworth-Heinemann.
2
3- Barton, G.J., Moran, E.H. and Berenbrock, C., 2004. Surveying cross sections of the Kootenai River between Libby Dam, Montana, and Kootenay Lake, British Columbia, Canada (No. 2004-1045). US Geological Survey.
3
4- Becker, L. and Yeh, W.W.G., 1972. Identification of parameters in unsteady open channel flows. Water Resources Research, 8(4), pp.956-965.
4
5- Becker, L. and Yeh, W.W.G., 1973. Identification of multiple reach channel parameters. Water Resources Research, 9(2), pp.326-335.
5
6- Cunge, J.A., Holly, F.M. and Verwey, A., 1980. Practical aspects of computational river hydraulics.
6
7- D’Oria, M., Mignosa, P. and Tanda, M.G., 2014. Bayesian estimation of inflow hydrographs in ungauged sites of multiple reach systems. Advances in Water Resources, 63, pp.143-151.
7
8- Ding, Y. and Wang, S.S., 2005. Identification of Manning's roughness coefficients in channel network using adjoint analysis. International Journal of Computational Fluid Dynamics, 19(1), pp.3-13.
8
9- Eli, R.N., Wiggert, J.M. and Contractor, D.N., 1974. Reverse flow routing by the implicit method. Water Resources Research, 10(3), pp.597-600.
9
10- Fread, D.L. and Smith, G.F., 1978. Calibration technique for 1-D unsteady flow models. Journal of the Hydraulics Division, 104(7), pp.1027-1044.
10
11- Friedman, J., Hastie, T. and Tibshirani, R., 2001. The elements of statistical learning (Vol. 1, No. 10). New York: Springer series in statistics.
11
12- Gessese, A. and Sellier, M., 2012. A direct solution approach to the inverse shallow-water problem. Mathematical Problems in Engineering, 2012.
12
13- Hansen, P.C., 1998. Rank-Deficient and Discrete Ill-Posed Problems: Numerical Aspects of Linear Inversion, SIAM, Philadelphia. Google Scholar, pp.1-214.
13
14- Henderson, F. M. 1996. Open channel flow: Macmillan.
14
15- Khatibi, R.H., Williams, J.J. and Wormleaton, P.R., 1997. Identification problem of open-channel friction parameters. Journal of Hydraulic Engineering, 123(12), pp.1078-1088.
15
16- Nguyen, H.T. and Fenton, J.D., 2005. Identification of roughness in compound channels. In MODSIM 2005 international congress on modelling and simulation. Modelling and Simulation Society of Australia and New Zealand (pp. 2512-2518).
16
17- Price, R.K., 1974. Comparison of four numerical methods for flood routing. Journal of the Hydraulics Division, 100(Proc. Paper 10659).
17
18- Richard, C., Borchers, B. & Thurber, C., 2004. Parameter Estimation and Inverse Problems. s.l.:Academic Press.
18
19- Szymkiewicz, R., 1993. Solution of the inverse problem for the Saint Venant equations. Journal of Hydrology, 147(1-4), pp.105-120.
19
20- Szymkiewicz, R., 2008. Application of the simplified models to inverse flood routing in upper Narew river (Poland). Publications of the Institute of Geophysics, Polish Academy of Sciences, (405), pp.121-135.
20
21- Westaway, R.M., Lane, S.N. and Hicks, D.M., 2000. The development of an automated correction procedure for digital photogrammetry for the study of wide, shallow, gravel‐bed rivers. Earth Surface Processes and Landforms, 25(2), pp.209-226.
21
22- Wormleaton, P.R. and Karmegam, M., 1984. Parameter optimization in flood routing. Journal of Hydraulic Engineering, 110(12), pp.1799-1814.
22
23- Wu, W., 2008. Computational River Dynamics, Sediment Laden Drainage, Betsiboka River, Madagascar. Courtesy of NASA. National Aeronautics and Space Administration, Houston, USA. Taylor & Francis Group, London. Google Scholar.
23
24- Wu, Q., Rafiee, M., Tinka, A. and Bayen, A.M., 2009, December. Inverse modeling for open boundary conditions in channel network. In Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on (pp. 8258-8265). IEEE.
24
ORIGINAL_ARTICLE
Three-dimensional Study of Flow Turbulence Extension around Straight, T and L Shaped Groynes in Open Channles using Physical Model
Rivers have long been considered as one of the most important sources of water supply. Flooding during flood events causes irreparable damage. Therefore, some methods such as the protection of river banks against erosion are considered to control the flood. One of the methods for protecting the rivers and controlling their erosion is the use of groynes. Groyne is a structure that uses rock, sand, etc. to slow down the process of erosion and prevent ice-jamming, which in turn aids navigation . and generates suitable environmental conditions for aquatic organisms in different conditions and in different parts of the river. According to the importance of groynes, a detailed and three- dimensional study of turbulent flow and the intensity of turbulence extension in these structures is of prime importance . In the present research, three- dimensional turbulent flow was completely studied using ADV advanced velocimeter in straight, L- and T- shaped groynes in a straight canal with a rigid substrate and 20% contraction of the groynes in the canal’s width by collecting numerous data points , and the turbulent extension was studied in three- dimensions, which is one of the novel charactersistics of this research.
https://jise.scu.ac.ir/article_14163_84e4c29b524b437d7ef1887d9153a2ce.pdf
2019-03-21
15
29
10.22055/jise.2017.21432.1540
Turbulent Flow
velocimeter
Vortex
River
Laboratory
Fatemeh
Veisi
f_veisy86@yahoo.com
1
M. Sc. Department of Water Engineering, Ramin Agriculture and Natural Resources University of Khuzestan
AUTHOR
Ahmad
Jafari
jafary_ahmad@yahoo.com
2
Assistant Professor, Department of Water Engineering, Agricultural Sciences and Natural Resources University of Khuzestan
LEAD_AUTHOR
1- Abbasi, A.A. and Malek Nejad Yazdi, M. 2014. Experimental investigation on the effect of length, space and shape of Gabion Groynes on local scouring depth. Journal of Water and Soil Conservation. Vol. 21(4). (In Persian).
1
2- Alizadeh Armaki, H., Vaghafi, M., Ghodsian, M. and Khosravi, M. 2015. Experimental Investigation of Flow and Scour Pattern around Submerged Attracting and Repelling T head Spur Dike. Modares Civil Engineering Journal (MCEJ). Vol. 15. (In Persian).
2
3- Barua, D. K., and K. H. Rahman. 1998. Some aspects of turbulent flow structure in large alluvial rivers. Journal of Hydraulic Research., 36(2), 235-252.
3
4- Dehghani, A.A., Barzzli, M., Fazloula, R. and Zea Tabar Ahmadi, M.KH. 2009. Experimental study of scouring around a series of L-head groynes. Journal of Water and Soil Conservation. Vol. 16(3). (In Persian).
4
5- Duan, J., 2009. Mean flow and turbulence around a laboratory spur dike. Journal of Hydraulic Engineering., 135(10), 803-811.
5
6- Duan, J., He, L., Fu, X., and Q. Wang. 2009. Mean flow and turbulence around an experimental spur dike. Adv. Water Resour., 32(12), 1717–1725.
6
7- Ettema, R., and Muste, M. 2004. Scale effects in flume experiments on flow around a spur dike in flat bed channel. Journal of Hydraulic Engineering, ASCE, 130(7), 635–646.
7
8-González-Castro, J. A., K. Oberg, and Duncker, J. J. 2000. Effect of temporal resolution on the accuracy of ADCP measurements. In Building Partnerships, 1-9.
8
9- Hoseinzade Tabrizi, H., Vaghefi, M. and Ghodsian, M. 2014. Effect of Froude Number on flow pattern and scour around T-shaped spur dikes under submerged and unsubmerged conditions. Modares Civil Engineering Journal (M.C.E.J). Vol. 14, No. 2. (In Persian).
9
10- Koken, M., and G., Constantinescu, 2009. An investigation of the dynamics of coherent structures in a turbulent channel flow with a vertical sidewall obstruction. Phys. Fluids, 21(8).
10
11- Koken, M., G., Constantinescu, 2008. An investigation of the flow and scour mechanisms around isolated spur dikes in a shallow open channel: 1. Conditions corresponding to the initiation of the erosion and deposition process. Water Resources Research, 44(8), W08406.
11
12- Kuhnle, R., and C., Alonso, 2013. Flow near a model spur dike with a fixed scoured bed. International Journal of Sediment Research, 28(3), 349-357.
12
13- Kumar, M., and A., Malik, 2016. 3D Simulation of flow around different types of groyne using aNSYS fluent. Imperial Journal of Interdisciplinary Research, 2(10).
13
14- Kwan, T. F. 1988. A study of abutment scour. Rep. No. 451, School of Engineering, Univ. of Auckland, Auckland, New Zealand.
14
15- Li, H., Barkdoll, B. D., Kuhnle, R., and C., Alonso, 2006. Parallel walls as an abutment scour countermeasure. Journal of Hydraulic Engineering, 132(5), 510-520.
15
16- Mehraein, M., Ghodsian, M. and Khodravi M, M. 2016. Experimental study of submergence effect on turbulent parameter around spur dike located in a 90 bed. Modares Civil Engineering Journal (MCEJ). Vol. 16. (In Persian).
16
17- Moosavi, B., Saneie, M., Salajeghe, M. and Motamed Vaziri, B. 2010. Iran-Watershed Management Science & Engineering. Vol. 4, No. 12. (In Persian).
17
18- Noorbakhsh Saleh, S.M., Vaghefi, M. and Ghodsian, M. 2013. Experimental Investigation of Scour Pattern around Submerged T-Shape Spur Dike in Straight Channel. Iran-Water Resources Research. Vol. 9, No. 2. (In Persian).
18
19- Paik, J., and F., Sotiropoulos, 2005. Coherent structure dynamics upstream of a long rectangular block at the side of a large aspect ratio channel. Phys. Fluids, 17(11).
19
20- Rajaratnam, N. and B., Nwachukwu, 1983. Erosion near groyne-like strutures. Journal of Hydraulic Research., 21(4), 277-287.
20
21- Rhoads, B. L., and A. N. Sukhodolov. 2001. Field investigation of three-dimensional flow structure at stream confluences: 1. Thermal mixing and time-averaged velocities. Water Resources Research, 37(9), 2393-2410.
21
22- Safarzadeh, Z. and Safarzadeh, A. 2016. Experimental Study of Turbulent Flow Strutures in Two Groynes Field using PIV Method. Modares Civil Engineering Journal (M.C.E.J). Vol. 16, No. 1. (In Persian).
22
23- Safarzadeh, A., Salehi Neyshabouri, S. A. A., and A.R., Zarrati, 2016. Experimental investigation on 3D turbulent flow around straight and T-shaped groynes in a flat bed channel. Journal of Hydraulic Engineering, ASCE, 142(8).
23
24- Vaghefi, M. Ghodsian, M. and Akbari, M. 2016. The Effect of Secondary Flow Strength on Bed Shear Stress around T-Shaped Spur Dike Locating in Various Positions of a 90 Degree Bend with Rigid Bed. J. Sci. & Technol. Agric. & Natur. Resour., Water and Soil Sci., Vol. 20, No. 75. (In Persian).
24
ORIGINAL_ARTICLE
Inferring Damage Effects of Subsurface Water Level Local Uplifting on Water and Wastewatwr Systems Using Analytical Hierarchy Process (Casy Study: Kerman City)
With urban developments and the aging of urban water distribution pipes their demand for repair and maintenance is rapidly grown. There are several factors that affect the performance and leakage in water and wastewater distribution networks (Ameyaw and Chan, 2016). By increasing the water leakage from pipes and wastewater depletion from houses to the injection wells, water level under the city ground is rising and saturation condition will be created near the underground infrastructures. In recent years, local uplifting of subsurface water level in metropolises created different challenges over water and wastewater systems with multiple damage effects (Baah et al., 2015;Qiu et al., 2016).İn recent two decades, the rising of groundwater table in Kerman city have caused several challanges over the water and wasetwaer infrustructures. İn the ancint zone of the Kerman city, water level come up to 3 meter under the groundsurface and is interacted with several underground structures and basment flooding. The rising water table have several destructive effects over the urban infrastructures. The main purpose of the present study is to investigate the effects of rising subsurface water level in Kerman city by using an AHP based damage prioritization to depict the relative importance or urgency of a damages of water level rising over infrastructures.
https://jise.scu.ac.ir/article_14087_4e2265dce3a4f1efa249fdc8e04280b6.pdf
2019-03-21
31
45
10.22055/jise.2017.18395.1333
damage
Effects of Subsurface Water
Environmental-Saintary
Operational-Technical
Structural Economical
AHP
Hosain
Riahi-Madvar
hossien.riahi@gmail.com
1
Assistant Professor, Water Engineering Department, Faculty of Agricultural Engineering, Vali-e-Asr University of Rafsanjan, Iran.
LEAD_AUTHOR
Akram
Seifi
seifi.akram@gmail.com
2
Assistant Professor, Water Engineering Department, Faculty of Agricultural Engineering, Vali-e-Asr University of Rafsanjan, Iran.
AUTHOR
1- Ameyaw, E.E. and Chan, A.P., 2016. A fuzzy approach for the allocation of risks in public–private partnership water-infrastructure projects in developing countries. Journal of Infrastructure Systems, 22(3), p.04016016.
1
2- Asefi, M., Radmanesh, F., Zarei, H., 2014. Optimization of DRASTIC and SINTACS Models According to Geographical Information System with the Use in Analytical Hierarchy Process (AHP) (Case Study: Andimeshk Plain), Journal of Environmental Studies, 40(1), pp. 79-94. (In Persian).
2
3- Asgarian, M., Tabesh, and M., Rouzbahni, A., 2015. Risk Assessment of Wastewater Collection Performance Using the Fuzzy Decision-making Approach, Journal of Water and Wastewater; Ab va Fazilab, 26(4), pp. 74-87. (In Persian).
3
4- Baah, K., Dubey, B., Harvey, R. and McBean, E., 2015. A risk-based approach to sanitary sewer pipe asset management. Science of the Total Environment, 505, pp.1011-1017.
4
5- Bostani A., Golmiz., Ansariyah. and calvinists. M., 2014. Modeling of tube and bed deformation due to loading in water transmission networks, Water and Sustainable Development , 1 (1). (In Persian).
5
6- ChitSazan, M., Dehghani, F., Mirzaei, Y., and Monsesh, F., 2014. Comparison of Hierarchical process methods, Linear-Weighted Composition, Fuzzy Hierarchical Process Analysis in Locating Properly for the Purification of Solid Municipal Solid Wastes (Case Study: Ramhormoz Town), Journal of Irrigation Science and Engineering, 37(1), PP.11-20. (In Persian).
6
7- Cuppens, A., Smets, I. and Wyseure, G., 2013. Identifying sustainable rehabilitation strategies for urban wastewater systems: A retrospective and interdisciplinary approach. Case study of Coronel Oviedo, Paraguay. Journal of Environmental Management, 114, pp.423-432.
7
8- Davis, M.D., Barton, M., Darbyshire, E. and Ursem, O., 2002. Comparative Environmental Risk Assessment of Auckland City's Drainage System. In Global Solutions for Urban Drainage (pp. 1-16).
8
9- Elsawah, H., Bakry, I. and Moselhi, O., 2016. Decision support model for integrated risk assessment and prioritization of intervention plans of municipal infrastructure. Journal of Pipeline Systems Engineering and Practice, 7(4), p.04016010.
9
10- Garrido, J. and Requena, I., 2014. Developing Environmental Risk Assessment Methodologies. Journal of Computing in Civil Engineering, 29(6), p.04014083.
10
11- Gulgec, N.S., Ergan, S., Akinci, B. and Kelly, C.J., 2015. Integrated Information Repository for Risk Assessment of Embankment Dams: Requirements Identification for Evaluating the Risk of Internal Erosion. Journal of Computing in Civil Engineering, 30(3), p.04015038.
11
12- Hasanpour, N., Abbasnejad, A., Dadollahi, H., and Ghasemi, Y., 2001. The effect of rising groundwater level in Kerman city on the quality of aquifer in the city, In 5th Specialized Conference on Environmental Engineering, Tehran University, Tehran, Iran. (In Persian).
12
13- Kangi, A., and Khatibi, D., 2012. Estimation of Liquefaction Potential in Kerman Based on Standard Penetration Test (SPT), Journal of Geotechnical Geology, 89(1), pp.73-82. (In Persian).
13
14- Lerner, D.N., 1990. Groundwater recharge in urban areas. Atmospheric Environment Part B: Urban Atmosphere AEBAE 5 Vol. 24 B, (1), pp.29-33.
14
15- Management and Planning Organization. 2014. Structural design criteria for water pipelines on concrete underground, Journal No. 185. (In Persian).
15
16- Management and Planning Organization. 2014. Structural design criteria for water pipelines on concrete underground, Journal No. 298. (In Persian).
16
17- Management and Planning Organization. 2014. Structural design criteria for water pipelines on concrete underground, Journal No. 687. (In Persian).
17
18- Mozhdeganifar, and N., Rahnema, B., 2009. Investigation of observation wells in Kerman and Abat Abad range due to elevation of groundwater level in parts of Kerman city, In 10th National Irrigation Seminar and Evaporation Reduction, Kerman University, Kerman, Iran. (In Persian).
18
19- Nakhaee, M., Hashemi, R., Khashee Sivaki, A., and Ahmadi, M., 2016. Optimization of Crop Pattern Using Analytical Hierarchy Process and Linear Programming (Case Study: Plain Birjand), Journal of Irrigation Sciences and Engineering, 39(2), pp. 115-124. doi: 10.22055/jise.2016.12116. (In Persian).
19
20- Nanos, M.G. and Filion, Y., 2016. Risk-Based Performance Assessment of Stormwater Drainage Networks under Climate Change: A Case Study in the City of Kingston, ON. In World Environmental and Water Resources Congress (pp. 73-81).
20
21- National Water and Wastewater Company. 2008. Operating instructions for reducing and controlling of unaccounted water, Full report. (In Persian).
21
22- Nikdel, R., 2014. Investigating the elevation of water level in the city of Kerman. Kerman Regional Water Company, Full report. (In Persian).
22
23- Qiu, M., Shi, L., Teng, C. and Zhou, Y., 2017. Assessment of water inrush risk using the fuzzy delphi analytic hierarchy process and grey relational analysis in the liangzhuang coal mine, China. Mine Water and the Environment, 36(1), pp.39-50.
23
24- Roozbahani, A., Zahraei, B., Tabesh, M., 2013. Water Quantity and Quality Risk Assessment of Urban Water Supply Systems with Consideration of Uncertainties, Journal of Water and Wastewater; Ab va Fazilab, 24(4), pp. 2-14. (In Persian).
24
25- Shahata, K. and Zayed, T., 2015. Integrated risk-assessment framework for municipal infrastructure. Journal of Construction Engineering and Management, 142(1), p.04015052.
25
26- Tabesh, M., Aghaei, A., Abrishami,J., 2008. Investigation of the Effects of Influential Parameters on Pipe Burst in Water Distribution Systems Using Evolutionary Polynomial Regression Method, Journal of the college of engineering, 42(6), pp691-703. (In Persian).
26
27- Torabi, F., 2015. Evaluation of rising water level and its problems in downtown Mashhad, Thesis, Ferdousi Mashhad University, Iran. 141p. (In Persian).
27
28- Trucco, P., Cagno, E. and De Ambroggi, M., 2012. Dynamic functional modelling of vulnerability and interoperability of Critical Infrastructures. Reliability Engineering & System Safety, 105, pp.51-63.
28
29- Wang, T. and Wang, X., 2016. A Bayesian Network-Based Risk Assessment Framework for the Impact of Climate Change on Infrastructure. In Construction Research Congress , (pp. 1353-1361).
29
30- Younger, P.L., 1993. Possible environmental impact of the closure of two collieries in County Durham. Water and Environment Journal, 7(5), pp.521-531.
30
31- Zandbergen, P.A., 1998. Urban watershed ecological risk assessment using GIS: a case study of the Brunette River watershed in British Columbia, Canada. Journal of Hazardous Materials, 61(1-3), pp.163-173.
31
ORIGINAL_ARTICLE
Assessment of Major elements and Heavy Metals of Surface Water using Statistical Analysis and the Saturation Index Diagrams
(Case study: Lorestan Province, Azna River)
Surface water quality is largely influenced by physical processes, chemical and biological processes such as weathering of minerals, rocks, climate and precipitation amount. Human activities (domestic and industrial wastewater, atmospheric sediment, irrigation return flow, etc.) also can reduce the quality of surface water and disrupt using it for drinking, industrial and agricultural consumption. The investigation of saturation index changes is useful to determine the different stages of the evolution of hydro chemical and chemical reactions to control the water chemistry. The control processes of water chemistry including physical, chemical and biological processes, structural, geological and mineralogical composition of the host rocks, and human activities such as household and industrial wastes, excessive use of chemicals and pollution emissions of wastewater tanks can effectively affect the surface water chemistry. Hierarchical clustering methods are appropriate methods for data analysis of water samples which are applied to assess the water quality data and the possibility of sample hydrochemical grouping having the highest importance of the statistical viewpoint in hydrology, hydrogeology and geology. In this study, Azna river water quality has been investigated based on the major elements and heavy metals. Results showed that the reactions due to area formations are the factor that affects the major elements and heavy metal in the surface waters of area.
https://jise.scu.ac.ir/article_14085_71cd5719d8a7d0423628aec23b34f581.pdf
2019-03-21
47
60
10.22055/jise.2017.18887.1364
Azna River
heavy metal
Statistical Analysis
Seyedeh Hadis
Hosseini
hadishosiny@gmail.com
1
Master student, Department of Geology, Lorestan University, Khorramabad, Iran.
AUTHOR
Ramin
Sarikhani
sarikhani.r@gmail.com
2
Department of Geology, Lorestan University, Khorramabad, Iran
LEAD_AUTHOR
Artemis
Ghasemi Dehnavi
ghassemi_artimes@yahoo.com
3
Department of Geology, Lorestan University, Khorramabad, Iran.
AUTHOR
Zeynab
Ahmadnejad
aghd20@yahoo.com
4
PhD student of Geology, Tabriz University
AUTHOR
Behrooz
Ebrahimi
safashiraz@yahoo.com
5
Expert of Lorestan Regional Water Authority.
AUTHOR
1- Akter, M., Sikder, T., Atique Ullah, AKM. 2014. Water quality assessment of an industrial zone polluted aquatic body in Dhaka, Bangladesh. American Journal of Environmental Protection, 3(5): pp.232-237.
1
2- Alloway, B.J.1995. Heavy Metals in Soils. 2nd edn. Blackie Academic and Professional, London, UK.
2
3- Appelo, CAJ and Willemsen, A. 1987. Geochemical calculations and observations on salt water intrusions, I. A combined geochemical/mixing cell model. Journal of Hydrology, 94(3),pp.313-330.
3
4- Ebrahimi, M., Nematollahi, M. Moradian, A. Adineh, S. and Esmaeili, R. 2015. Surface water quality assessment in Gilan Province, Iran. Journal of Biodiversity and Environmental Sciences. 6(5),pp.269-280.
4
5- Fakhri, M.S., Barzegar, R., Moghaddam, A.A., Tziritis, E., and Soltani, S., 2017. Identification of hydrogeochemical processes and pollution sources of groundwater resources in the Marand plain, northwest of Iran. Environmental Earth Sciences, 76(7), p.297.(In Persian).
5
6- Fan, X., Cui, B., Zhao, H., Zhang, Z. and Zhang, H. 2010. Assessment of river water quality in Pearl River Delta using multivariate statistical techniques. Procedia Environmental Sciences, 2,pp.1220-1234.
6
7- Ghayoumian, J., Hosseinipour, H.,Ghassemi,A. and Peyrovan,H., 2005. Application of Multivariate Analysis in Hydrogeochemical Analysis in Sarchahan, Hormozgan, The 9th Conference of the Iranian Geological Society, Tehran, Iran(In Persian).
7
8- Hadgu, L.T., Nyadawa, MO., Mwangi, JK., Kibetu, PM,. Mehari, BB. 2014. Application of Water Quality Model QUAL2K to Model the Dispersion of Pollutants in River Ndarugu, Kenya. Computational Water, Energy, and Environmental Engineering 3, pp.162-169.
8
9- Liu, F., Song. X., Yang, L., Zhang, Y., Han, D. Ma, Y. and Bu, H. 2014. Identifying the origin and geochemical evolution of groundwater using hydrochemistry and stable isotopes in Subei Lake Basin, Ordos energy base, Northwestern China. Hydrology and Earth System Sciences Discussions 11(5), pp.5709-5745.
9
10- Merrikhpour, H., and Jalali, M. 2015. Geostatistical assessment of solid–liquid distribution coefficients (K d) for Cd, Cu, Pb and Zn in surface soils of Hamedan, Iran. Model Earth System Environment 1(4), pp.1–9.
10
11- Oinam, J. D., Ramanathan, A. L. and Jayalakshmi, S. G. 2012. Geochemical and statistical evaluation of groundwater in Imphaland Thoubal district of Manipur, India. Journal of Asian Earth Science 48, pp.136-149.
11
12- Papadopoulos, P., Rowell, D.L. 1988. The reactions of Cadmium with calcium-carbonate surfaces. Soil Science. 39, pp:23–36.
12
13- Parkhurst, D.L., Appelo, C.A. 1999. PHREEQC (c.2) – A computer program for speciation, Batch– reaction, One– dimensional transport, and inverse geochemical calculations, U. S. Geological survey.
13
14- Poyraz, B., and Taspinar ,F. 2014.Analysis, Assessment and Principal Component Analysis of Heavy Metals in Drinking Waters of Industrialized Region of Turkey. Int. Journal Environmental Research, 8(4),pp.1261-1270.
14
15- Tajbakhshian,M., Gharaie,M., Mahboubi,A., Mousavi Herami, R. and Jalali,A., 2015. Hydrogeochemical assessment of groundwater around of haseminejad refinery with composite diagrams and saturated index, Journal of Earth Sciences,97,pp71-84. (In Persian).
15
16- Verma, J.P., 2012. Data analysis in management with SPSS software. Springer Science & Business Media, p.347.
16
17- Wang, Z.Y., Lee, J.H. and Melching, C.S., 2015. Water quality management. In River Dynamics and Integrated River Management. Springer, Berlin, Heidelberg. pp. 555-631.
17
18- WHO, 2011. Guidelines for drinking water quality, 4th ed., Recommendations, World HealthOrganization, Geneva:,pp. 1-4.
18
19- Zhang, B., Song, X., Zhang, Y., Han, D., Tang, C. H., Yu,Y. and Ma, Y. 2012. Hydrochemical characteristics and water quality assessment of surface water and groundwater in Songnen plain, Northeast China. Water Research ,46, pp.2737-2748.
19
ORIGINAL_ARTICLE
Estimation of Radial Spreading Coefficient of Convergent and Inclined Surface Jet Flow over the Horizontal Bed of a Stagnant Ambient
Desalination plants dispose with the wastewater feed via channels and pipelines. The behavior of dense flows discharged into receiving water body is very important, thus prompting researchers to conducted numerous studies on the behavior of flows from surface and submerged dischargers. Among the scholars focusing on submerged dischargers, Zeitoun et al. (1972), Cipollina et al. (2005), and Bleninger and Jirka (2008) investigated submerged negatively buoyant jets in horizontal, vertical, and oblique discharge conditions and obtained results on flow trajectory and dilution rate. Furthermore, Researchers have also delved into surface dischargers. Using numerical modeling, Kassem et al. (2003) inquired into the effects of different parameters of an outflow, a bed, and receiving ambient water on the properties of dense flows discharged through inclined and divergent channels. Kotsovinos (2000), Papakonstantis and Christodoulou (2010), Kaye and Hunt (2004) experimentally examined the spreading of dense flows caused by the impingement of submerged jets on a horizontal plane. Papakonstantis and Christodoulou (2010) concentrated on negatively buoyant circular jets and vertical and horizontal positively buoyant jets, reporting that the dense flow in negatively buoyant jets and vertical positively buoyant jets has a circular outer boundary. The authors also observed that radial distance from the impingement point to the outer boundary of flow is related to time by a power of 0.5. As previously stated, understanding the behavior of dense flows discharged into receiving ambient water is highly important. Correspondingly, this study explored the spreading of dense horizontal flow over the bed of deep and stagnant ambient water.
https://jise.scu.ac.ir/article_14079_b775364d010d9d615aac7aab6453a8ec.pdf
2019-03-21
61
72
10.22055/jise.2017.20147.1443
Radial spreading coefficient
Surface jet
Convergence
Stagnant ambient
Deep ambient
Tooba
Heidari
toobaheidari90@gmail.com
1
Graduated M.Sc. of River Engineering, Faculty of Sea Engineering, Khorramshahr University of Marine Science and Technology, Iran.
AUTHOR
Nima
Shahni Karamzadeh
nima.shahni@gmail.com
2
Assistant Prof, Faculty of Sea Engineering, Khorramshahr University of Marine Science and Technology, Iran.
LEAD_AUTHOR
Javad
Ahadiyan
ja_ahadiyan@yahoo.com
3
Associate Prof, Faculty of Water Science Engineering, Shahid Chamran University of Ahvaz. Iran.
AUTHOR
1- Abdelwahed, M.S.T., 1981. Surface jets and surface plumes in cross-flows. Ph.D. Thesis, Mc Gill University, Montreal, Canada.
1
2- Abessi, O. and Roberts, P.J.W., 2015a. Effect of nozzle orientation on dense jets in stagnant environments. Journal of Hydraulic Engineering, 141(8): 1-8.
2
3- Abessi, O. and Roberts, P.J.W., 2015b. Dense jets discharges in shallow water. Journal of Hydraulic Engineering, 142(1): 1-13.
3
4- Abessi, O., Saeedi, M., Bleninger, T. and Davidson, M., 2012. Surface discharge of negatively buoyant effluent in un-stratified stagnant water. Journal of Hydro-environment Research, 6: 181-193.
4
5- Bleninger, T. and Jirka, G.H., 2008. Modeling and environmentally sound management of brine discharges from desalination plants. Desalination, 221: 585-597.
5
6- Cipollina, A., Brucato, A., Grisafi, F. and Nicosia, S., 2005. Bench-Scale investigation of inclined dense jets. Journal of Hydraulic Engineering, 131(11): 1017-1022.
6
7- Danoun, R., 2007. Desalination plants: potential impacts of brine discharge on marine life. The ocean technology group, University of Sydney, Australia.
7
8- Jenkins, S., Paduan, J., Roberts, P., Schlenk, D. and Weis, J., 2012. Southern California coastal water research project. California water resources control board: 1-56.
8
9- Kashi, G., Martinuzzi, R.A. and Baddour, R.E., 2007. Mean flow field of a non-buoyant rectangular surface jet. Journal of Hydraulic Engineering, 133(2): 234-239.
9
10- Kassem, A., Imran, J. and Khan, J., 2003. Three-dimensional modeling of negatively buoyant flow in diverging channels. Journal of Hydraulic Engineering, 129(12): 936-947.
10
11- Kaye, N.B. and Hunt, G.R., 2004. Out flow from a plume impinging on a horizontal boundary. 15th Australasian fluid mechanics conference. The University of Sydney, Sydney, Australia.
11
12- Kotsovinos, N.E., 2000. Axisymmetric submerged intrusion in stratified fluid. Journal of Hydraulic Engineering, 126(6): 446-456.
12
13- Moawad, A.K. and Rajaratnam, N., 1998. Dilution of multiple non-buoyant circular jets in cross-flows. Journal of Environmental Engineering, 124(1): 51-58.
13
14- Papakonstantis, I.G. and Christodoulou, G.C., 2010. Spreading of round dense jets impinging on a horizontal bottom. Journal of Hydro-environment Research, 4(2010): 289-300.
14
15- Pincine, A.B. and List, E.J., 1973. Disposal of brine into an estuary. Journal of Water Pollutant, 45: 2335-2344.
15
16- Sanchez, D., 2009. Near-field evolution and mixing of a negatively buoyant jet consisting of brine from a desalination plant. Masters’ thesis. Department of building and environmental technology Lund University, Sweden.
16
17- Zebardast, S., Tabatabaei, S. H., Abbasi, F., Heidarpour, M. and Gualtieri, C., 2015. Study of the effect of discharge and bed roughness on the maximum solute diffusion length in a parabolic channel. Iranian Journal of Soil and Water Research, 46(3): 395-404. (in Persian).
17
18- Zeitoun, M.A., Raid, R.O., McHilhenny, W.F. and Mitchell, T.M., 1972. Model studies of outfall systems for desalination plants. Part II: Numerical simulations and design considerations. Res. and Devel. Progress reports, 804, office of saline water, U. S. Department of interior, Washington, D. C.
18
ORIGINAL_ARTICLE
Calibration of the Guelph Permeameter Method Using Shallow Well Pump-in Test (SWPT) for Hydraulic Conductivity Measurement and Derivation of single depth Laplace and Richards Equation for a Loam Soil
Saturated hydraulic conductivity is a vital soil propriety in controlling infiltration and runoff, drainage, extracting pesticides, and herbicides from soil profile and transfer them to ground water. The auger-hole method is the most famous and the most common method to measure the hydraulic conductivity (K) that have been used normally for years. Using this method is possible where the water table is high and in a one-meter range from the soil surface. In the measurement of saturated hydraulic conductivity some problems occur when the water table of the soil is very deep. In arid and semi-arid areas especially in summer, the water table is so low making it impossible to use ideal methods.To determine the hydraulic conductivity rates of soils above the water table, different methods are used. These methods have always been faced with weakness in theoretical bases or practical problems as well as being time consuming and costly. One of these methods is the shallow well pump-in test which is the most adaptable method used for this purpose. However, a new method has been developed to measure the hydraulic conductivity above water table which is called the Guelph Permeameter method. As the Guelph method was introduced by Reynolds and Elricks (1985), great changes have been made in this field, and due to the strong theoretical bases, being less time-consuming and cheaper to perform, Guelph method attracted lots of attention. The aim of this research was to calibrate the Guelph Permeameter for the measurement of saturated hydraulic conductivity using the Shallow Well Pump-in Test (SWPT) method at an experimental farm in Shahid Chamran University of Ahvaz. This research examines the calibration of Guelph Permeameter method by using shallow depth pumping test method for a loam soil in this region.
https://jise.scu.ac.ir/article_14088_50a8d662919ccc7ed8d4bdf6349cc1a6.pdf
2019-03-21
73
81
10.22055/jise.2017.17898.1298
Saturated hydraulic Conductivity
Guelph Permeameter
Single Depth Analysis
Abd Ali
Naseri
abedalinaseri@yahoo.com
1
Professor, Irrigation and Drainage Department, Faculty of Water Science and Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
LEAD_AUTHOR
Zzeinab
Nnaderi
zeinab.naderi2091@yahoo.com
2
Former Grad. Student, Faculty of Water Sciences and Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran.
AUTHOR
HeidarAli
Kashkooli
kashkoli@yahoo.com
3
Retired Professor, Irrigation and Drainage Department, Faculty of Water Science and Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran.
AUTHOR
1- Darcy, J.D., Ward, A.D., Fausey, N.R, and Bair, E.S., 1990. A comparison of four field methods for measuring saturated hydraulic conductivity. Transaction of ASAE, 33, pp. 1925-1931.
1
2- Elrick, D.E., Reynolds, W.D. and Tan, K.A., 1989. Hydraulic conductivity measurements in the unsaturated zone using improved well analyses. Ground Water Monitoring Review. 9, pp. 184-193.
2
3- Kashkuli, H., 1992. Simultaneous determination of soil hydraulic properties above the water table using Gulph method. Proceeding of 3th Iranian Soil Congress, Soil Science Association of Iran, Tehran, Iran. (In Persian).
3
4- Kashkuli, H. and Mashal, M., 1995. Comparison of the methods of field measurements of hydraulic conductivity above the water table with the Guelph method in two different soil types in Khuzestan province. The Scientific Journal of Agriculture, 18(1 and 2), pp. 1-24. (In Persian).
4
5- Kashkuli, H., Mirbehersee, H. and Nori-Emamzadehee, M., 2001. Using single-depth and Multi-depth analyzes of Guelph permeameter method to determine hydraulic conductivity and α coefficient and comparing them with auger hole method. Journal of Soil Science Association of Iran, Selective papers of 7th Iranian Soil Congress, pp. 82-84. (In Persian).
5
6-Lee D.M., Reynolds, W.D., Elrick, D.E. and Clothier, B.E., 1985. A comparison of three field methods for measuring saturated hydraulic conductivity. Soil Science, 65, pp. 563-573.
6
7-Mohanty. B.P., Kanwer, R.S. and Everts, C.J., 1994. Comparison of saturated hydraulic conductivity measurement methods for a glacial-till. Soil Science Society American Journal, 58, pp. 672-677.
7
8- Mokhtaran, R., 2004, Evaluation of single-depth analyzes Guelph permeameter method for determination of saturated hydraulic conductivity above the water table in a medium texture soil. Master's Thesis. Shahid Chamaran University of Ahvaz, Ahvaz, Iran, 121 p. (In Persian).
8
9-Philip, J.R., 1987. The quasilinear analysis, the scattering analogue and other aspects of infiltration and seepage. In Y.S. For (Ed.), Infiltration Development and Application, Water Resources Research Center, Honolulu. pp. 1-27.
9
10-Reynolds, W.D., Elrick, D.E. and Clothier B.E., 1985. The constant head well permeameter Effect on unsaturated flow. Soil Science, 139(2), pp. 172-180.
10
11-Reynolds, W.D. and Elrick D.E., 1985. In situ measurement of field saturated hydraulic conductivity sorptivity, parameter using Guelph permeameter. Soil Science, 140(4), pp. 292-302.
11
12-Reynolds, W.D., Vieira, S.R. and Topp G.C., 1992. An assessment of the single-head analysis for the constant head well permeameter. Canadian Journal of Soil Science, 72, pp. 489-501.
12
13-Reynolds, W.D. and Zcbehuk, W.D., 1996. Hydraulic conductivity in a clay soil two measurement techniques and spatial characterization. Soil Science Society American Journal, 60, pp. 1679-1685.
13
14-Stephens, D.B., Lamert, K. and Watson, D., 1987. Regression models for hydraulic conductivity and field test of the borehole permeameter. Water Resource Research, 23, pp. 2207-2214.
14
15-Vieira, S.R., Reynolds, W.D., and Topp G.C. 1988. Spatial variability of hydraulic properties in a highly structured clay soil. Proceeding Symprian Validation of Flow and Transport Models for Unsaturated Zone, Ruidoso, NM.
15
16-Zanger, C.N., 1953. Theory and problems of water percolations. Engineering Monograph No. 8, Bur. of Reclamation, U.S. Dep. of Interior, 76 p.
16
17-Zhang, Z.F., Groenevelt, P.H., and Grayw, P., 1988. The well shape factor for the measurement of soil hydraulic properties using the Guelph permeameter. Soil & Tillage Research 49, pp. 219-221.
17
ORIGINAL_ARTICLE
Predicting Seepage of Earth Dams using Artificial Intelligence Techniques
The use of clay blanket in reservoirs is one of the main methods of seepage reducing. In this study, with clay blanket modeling in a proposed reservoir by finite element method, 350 dataset was obtained using SEEP/W. Validation of SEEP/W was carried out by comparing seepage results obtained from a laboratory tests. For evaluation of suitable model for predicting seepage values (results of modeling), used from five artificial intelligence techniques comprising: multilayer perceptron neural network (MLP), radial base function (RBF), gene expression programming (GEP), support vector regression (SVR) and a novel hybrid model of the firefly algorithm (FFA) with the multilayer perceptron (MLP-FFA). All the techniques were trained with 70% of available dataset and tested using the remaining 30% dataset. Different combinations of input data that include the ratio of the permeability coefficient of foundation to the permeability coefficient of clay blanket (K_f/K_b ), the ratio of the length of blanket to upstream head (L_1/H), the ratio of thickness of foundation to thickness of blanket (h_f/t), the ratio of length of blanket to thickness of core (L_1/L_2 ) and the ratio of horizontal to vertical permeability coefficient of foundation (K_(f_x )/K_(f_y ) ) were used for evaluation of mentioned methods. The results were evaluated using four performance criteria metrics: root mean square error (RMSE), mean absolute error (MAE), Nash-Sutcliffe efficiency (NS), Willmott’s Index of agreement (WI) and Taylor diagram. The results of study showed that the MLP-FFA method provides better estimation results than the other models and therefore, could be applied an optimized for predictive model of earth fill dam seepage.
https://jise.scu.ac.ir/article_14075_987899268377f91d4b97f43d29794725.pdf
2019-03-21
83
97
10.22055/jise.2017.21384.1537
Artificial Intelligence
Firefly Algorithm
Hybrid models predict Seepage
Earth dam
Meysam
Nouri
meysamnouri71@gmail.com
1
tabriz universityM.Sc. of Water Structures, University of Tabriz, Tabriz-Iran
LEAD_AUTHOR
Farzin
Salmasi
ferzin.salmasi@gmail.com
2
Associate Professor, Water Engineering Department, University of Tabriz, Tabriz-Iran.
AUTHOR
1-Ahmed, M. and Sattar, A., 2014. Gene expression models for prediction of dam breach Parameter. Journal of Hydroinformatics, 16(3), pp. 550-571.
1
2- Dehghani, N., Pirmoradian, N., Azimi, V. and Khanmohammady, S., 2013. Evaluation of MLP and RBF for estimating of monthly evaporation, case study: Rasht meteorological station. In 2th National Conference on Sustainable Agriculture and Sustainable Environment, (In Persian).
2
3- Derin, U. and Mert tolon, S. M., 2008. Slope Stability during Earthquakes: A Neural Network Application. Geo Congrss. Characrerization, Monitoring and Modeling of Geosystems, pp. 878-2008.
3
4-Ferreira, C., 2001. Gene expression programming: A new adaptive algorithm for solving problems. Complex Systems, 13(2), pp. 87-129.
4
5-Fu, Q., Jiang, R., Wang, Z. and Li, T., 2015. Optimization of soil water characteristic curves parameters by modified firefly algorithm. Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 31(11), pp. 117-122.
5
6-Gocic, M., Petkovic, M., Trajkovic, S., Shamshirband, S. H., Moetamedi, S. H. and Roslan, H., 2015. Determination of the most influential weather parameters on reference evapotranspiration by adaptive neuro-fuzzy methodology. Computers and Electronics in Agriculture, 114(1), pp. 277–284.
6
7-Haykin, S., 1999. Neural Networks: A Comprehensive Foundation. Prentice-Hall Inc.NJ.
7
8-Kavousi, A., Samet, H. and Marzbani, F., 2014. A new hybrid modified firefly algorithm and support vector regression model for accurate short term load forecasting. Expert Systems with Applications. 41(2), pp. 6047-6056.
8
9-KazemzadehParsi, M., 2014. A modified firefly algorithm for engineering design optimization problems. Iranian Journal of Science and Technology, 38(1), pp. 403-421.
9
10- Khalili Shayan, H. and Amiri Tokaldany, E., 2015. Effects of blanket, drains, and cutoff wall on reducing uplift pressure. Seepage, and exit gradient under hydraulic structures. International Journal of Civil Engineering, 13(4), pp. 486-500.
10
11- Khalili Shayan, H. and Amiri Tokaldani, E., 2012. Experimentally and numerically investigation of Bligh and Lane theory for estimating uplift under diversion dams. In 10th Hydraulic conference, Gilan University, Gilan, Iran, (In Persian).
11
12- Khan, M. S. and Coulibaly, P., 2006. Bayesian neural network for rainfall-runoff modeling. Water Resources Research, 42, doi: 10.1029/2005WR003971. issn: 0043-1397, pp. 1-18.
12
13- Khatibi, A., Pourebrahim, S. H. and Danehkar, A., 2015. Application of Genetic Algorithm for Simulation of Land Use and Land Cover Changes; Case of Karaj City, Iran. Journal of Tethys, 3(4), pp. 286–296.
13
14-Nourani, V. and Babakhani, A., 2013. Integration of Artificial Neural Networks with Radial Basis Function Interpolation in Earthfill Dam Seepage Modeling. Journal of Computing in Civil Engineering. 27(1), pp.183-195.
14
15-Rahimi, H., 2004. Embankment Dams, Tehran University Press, (In Persian).
15
16-SEEP/W., 2012. Seepage Modeling with SEEP/W. Geo-Slope International Ltd, Calgary.
16
17-Talatahari, S., Hosseini, A., Mirghaderi, S. R. and Rezazadeh, F., 2014. Optimum Performance-Based Seismic Design Using a Hybrid Optimization Algorithm. Hindawi Publishing Corporation Mathematical Problems in Engineering. Volume 2014, Article ID 693128, 8 pages.
17
18-Tayfu, G., Swiate, D., Wita, A. and Singh, V., 2005. Case Study: Finite Element Method and Artificial Neural Network Models for Flow through Jeziorsko Earth fill Dam in Poland. Journal of Hydraulic Engineering, 131(3), pp. 431-440.
18
19-Taylor, KE., 2001. Summarizing multiple aspects of model performance in a single diagram. Journal of Geophysical Research, 106 (7), pp.7183–7192.
19
20-USACE., 1986. Seepage analysis and control for dams. Department of the US army corps of Engineers, Washington, D.C. 20314-1000.
20
21-USBR., 2014. Embankment dams, chapter 8, seepage, phase 4. U. S. Department of Interior Bureau of Reclamation.
21
22-Vapnik, VK., 1999. An Overview of Statistical Learning Theory. IEEE Transactions on Neural Network, 10(1), pp. 988-998.
22
23-Yang, X. S. 2010. Firefly Algorithm, Stochastic Test Functions and Design Optimisation. International Journal of Bio-Inspired Computation, 2(2), pp. 78–84.
23
ORIGINAL_ARTICLE
Investigation of the Effect of Six Legged Concrete (SLC) Elements Combined with Riprap on Scour Depth at Vertical Wall Bridge Abutments
Destruction of bridges caused by scour and other natural phenomenon brings about financial and life losses. Hence, researchers have been studied extensively the scour mechanism and methods of scour countermeasure. Usually scour at bridge occurs both around piers and abutments. Melville (1992)'s study showed that 70 percent of the failure of bridges in New Zealand was due to the abutment scour. Studies conducted on the failure of 383 bridges in the United States showed that in 25% of them the pier scour, and in 72% of them the damage was due to abutment scour (Kayatrak, 2005). The main cause of the abutment scour is due to complex flow vortices which developed around the abutment. Therefore, during the past decades many measures have been developed to protect the bed material against erosion. These techniques can be categorized in two types of covering methods and flow altering techniques. Design guidelines for some of these mitigation techniques can be found in Melville and Coleman (2000). For existing bridges the common practice is to use armoring materials around bridge abutment. Riprap, gabions, rectangular concrete blocks and tetrahedron frames concrete elements are the most effective material for covering and stabilizing the bed around the bridge abutments. In rivers with high flood discharge, the covering material are subject to high flow velocities and therefore large size of rocks have to be used. When the site construction is far away from mountain area or large sizes of the rocks are not available or too costly to transport, other material should be applied. In the present study, a new concrete element-six –legs concrete (SLC)- beside using of smaller size of rocks have been studied to find out the best combination for protecting bridge abutments against scour.
https://jise.scu.ac.ir/article_14073_f9b8fccc1d647e035e5a774c8381d12a.pdf
2019-03-21
99
114
10.22055/jise.2017.21193.1524
Scour
Bridge Abutments
SLC elements
Riprap
Ali Akbar
Hosein Reza
aah.reza313@yahoo.com
1
Ph.D.Student, Faculty of Water Sciences Engineering, Shahid Chamran University of Ahvaz, Iran.
AUTHOR
Mahmood
Shafai bajestan
m_shafai@yahoo.com
2
Professor, Faculty of Water Sciences Engineering, Shahid Chamran University of Ahvaz, Iran
LEAD_AUTHOR
Mehdi
Ghomeshi
m.ghomeshi@yahoo.com
3
Professor, Faculty of Water Sciences Engineering, Shahid Chamran University of Ahvaz, Iran.
AUTHOR
Manoochehr
Fathi Moghadam
fathi49@gmail.com
4
Professor, Faculty of Water Sciences Engineering, Shahid Chamran University of Ahvaz, Iran.
AUTHOR
1- Barbhuiya, A.K. and Dey, S., 2004. Local scour at abutments: A review. Sadhana, 29(5), pp.449-476.
1
2- Bozkus, Z. and Yildiz, O., 2004. Effects of inclination of bridge piers on scouring depth. Journal of Hydraulic Engineering, 130(8), pp.827-832.
2
3- Cardoso, A.H. and Fael, C.M., 2009. Protecting vertical-wall abutments with riprap mattresses. Journal of Hydraulic Engineering, 135(6), pp.457-465.
3
4- Chiew, Y. M. 2004. Local scour and riprap stability at bridge piers in a degrading channel. Journal of Hydraulic Engineering, ASCE. 130 (7): 622-634.
4
5- Chiew, Y. and Lim, S., 2003, March. Protection of bridge piers using a sacrificial sill. In Proceedings of the Institution of Civil Engineers-Water and Maritime Engineering, (Vol. 156, No. 1, pp. 53-62). Thomas Telford Ltd.
5
6- Coleman, S.E., Lauchlan, C.S. and Melville, B.W., 2003. Clear-water scour development at bridge abutments. Journal of Hydraulic Research, 41(5), pp.521-531.
6
7- Dongol, D.M.S. and Melville, B.W., 1994. Local scour at bridge abutments. Department of Civil Engineering, University of Auckland.
7
8- Ghorbani B. and HeidarPour, M. 2004. Control and reduction of scour using combination of sluts and riprap, Research report, Isfahan University of Technology and Shahrekord University, p.112 (In Persian).
8
9- Kandasamy, J.K., 1989. Abutment scour. University of Auckland, School of Engineering Report, (458).
9
10- Kayaturk, S.Y., 2005. Scour and scour protection at bridge abutments (Doctoral dissertation, Ph. D. thesis, Department of Civil Engineering, Middle East Technical University (METU), Ankara, Turkey).
10
11- Khademi, Kh and Shafai-Bejestan,M.2015. Investigation of number, location and angel of submerged vane on scour depth at bridge abutment, Journal of Iranian Water Research, Shahrekord University, 15(8): 44-55 (In Persian).
11
12- Khozeimenejad, H., Ghomeshi, M. and Shafai-Bejestan, M. 2015. Comparison of performance of symmetric and unsymmetrical rectangular collar on scour reduction at bridge abutments, Journal of Irrigation Sciences and Engineering, 37(2): 10-12(In Persian).
12
13- Korkut, R., Martinez, E.J., Morales, R., Ettema, R. and Barkdoll, B., 2007. Geobag performance as scour countermeasure for bridge abutments. Journal of Hydraulic Engineering, 133(4), pp.431-439.
13
14- Lagasse, P.F. and Richardson, E.V., 2001. ASCE compendium of stream stability and bridge scour papers. Journal of Hydraulic Engineering, 127(7), pp.531-533.
14
15- Laursen, E.M. and Toch, A., 1956. Scour Around Bridge Piers and Abutments (Vol. 4). Ames, IA: Iowa Highway Research Board.
15
16-Mansoori-Hafshejani M. and Shafai-Bejestan M.2014. Comparison of the effect of three different depth of placing rocks on the stability of riprap at bridge abutments in a 90 degree bend, Journal of Soil and Water Sciences, Tabriz University, 12(2): 195-204 (In Persian).
16
17-Mansoori-Hafshejani M. and Shafai-Bejestan M. 2011. Design of riprap sizing at river bend around the bridge abutment, Journal of Irrigation Sciences and Engineering, 34(4): 35-45 (In Persian).
17
18- Mansoori-Hafshejani M. and Shafai-Bejestan M. 2012. Control of scour at river bend using riprap. Journal of Iranian Water Research, University of Shahrekord, 5(9): 73-83 (In Persian).
18
19- Melville, B. W., 1992. Local Scour at Bridge Abutments. Journal of Hydraulic Engineering, ASCE, 118 (4): 615-631.
19
20- Melville, B. W and Coleman, S. E., 2000 .Bridge scour. Water Resources Publications, Colorado, USA, 270p.
20
21- Melville, B.W., 1997. Pier and abutment scour –an integrated approach. Journal of Hydraulic Engineering, ASCE, 123 (2):125-136.
21
22- Melville, B.W., Van Ballegooy, S., Coleman, S.E., and Barkdoll, B. 2007. Riprap size selection at wing-wall abutment. Journal of Hydraulic Engineering, ASCE.133 (11): 1265-1269.
22
23- Pagan-Ortiz, J.E. 1991, Stability Of rock riprap for protection at the toe of abutments located at the flood plain Rep. No. FHWA-RD-91-057. Feederal Highway Administration U.S. Dept of Transportation Washington D.C.
23
24- Przdwojski, B. 1995. Bed topography and locaul scour in rivers with banks protected by groynes. Journal of Hydraulic Reserch, 33 (2): 257-273.
24
25- Richardson, E.V and Davis, S.R., 2001. Evaluating Scour at Bridges (4th Ed.). Federal Highway Administration, Hydraulic Engineering Circular No.18, FHWA NHI-01-001.
25
26- Raudkivi, A.J. 1998. Loose boundary hydraulics. 4th Edition. Rotterdam, Brookfield VT, Balkema. P:496.
26
27-Saadatneya, M., Khodashenas, S., Saneei, M. and Esmaeilei K. 2010. The effect of spur dike angle on scour depth around the nose of bridge abutment. 8th Int. River engineering Conf. on River Engineering, Shahid Chamran university of Ahvaz, Iran (In Persian).
27
28-Sepahvand, K. and Shafai-Bejstan M. 1995. Investigation of scour depth at bridge abutment under the influence of spur dike. M.Sc thesis, Shahid Chamran University of Ahvaz (In Persian).
28
29- Shafai-Bejestan, M. 2009. ‘Hydraulic of Sediment Transport “ 2 nd edition, Shahid Chamran UIniversity, S49p.
29
30- Simons, D.B., and Lewis, G.L. 1971. Flood protection at bridge crossings. C.S.U. Civil Engineering Rep. No. CER71-72DBS.GL10.prepared for the Wyoming State Highway Dept. in conjunction with the U.S Dept. of Transportation Washington D.C.
30
31- Tey C.B. 1984. Local scour at Bridge Abutment. Report No. 329. School of Engineering, University of Aukland, New Zealand, 215p..
31
32- Thornton, C.I., Abt, S.R. and Watson, C.C., 2001. Field Assessment of A-Jacks Installation, A Case Study of Brush Creek, Kansas City, Missouri, and Powell Creek, Waukegan, Illinois. In Wetlands Engineering & River Restoration 2001 (pp. 1-8).
32
33- Unger, J. and Hager, W.H., 2006. Riprap failure at circular bridge piers. Journal of Hydraulic Engineering, ASCE. 132 (4): 354-362.
33
35- Zarrati, A.R., Nazariha, M., and Mashahir, M.B., 2006. Reduction of Local Scour in the Vicinity of Bridge Pier Groups Using Collars and Riprap. Journal of Hydraulic Engineering, ASCE, 132 (2): 154-162.
34
36- Zolghadr, M. and Shafai-bejestan, M. 2015. Investigation of scour depth under the influence of different depth of placement and arrangements of A-jacks at bridge abutment. PhD dissertation, Shahid Chamran university of Ahvaz (In Persian)
35
ORIGINAL_ARTICLE
Investigation the Effect of Nitrogen Fertilizer on Maize Yield Parameters (single cross hybrid 704) for AquaCrop Model
Water and nitrogen are two main factors of plant production. Water scarcity is one of the most important challenges in the production of agricultural products in arid and semi-arid regions, as in most parts of Iran. A great deal of research has been done on the interaction between water and nitrogen and has shown that irrigation and nitrogen treatments interact with the yield. So far, various models have been developed to simulate plant performance in response to different levels of water and nitrogen. The FAO organization has provided the AquaCrop model. This model simulates yield performance in response to water consumption. The effect of nitrogen deficiency on yield in the latest versions of the AquaCrop model (versions 4 and 5) is carried out using semi-quantitative method. In this method, nitrogen deficiency is assumed to be based on four parameters: 1- Normalized water productivity (WP*), 2- maximum canopy cover (CCx), 3- The Canopy growth coefficient (CGC) and 4- Canopy decline coefficient (CDC). The hypothesis of this research is that there is a relationship between the four above parameters and nitrogen fertilizer for corn, and from them, we can determine the values of four parameters for each fertilizer level and use them in the AquaCrop model. Therefore, the first goal of this study was to determine the equations between nitrogen fertilizer and the four above parameters. The second goal of this study was to evaluate the accuracy of the AquaCrop model for simulating the response of corn to nitrogen fertilizer using parameters derived from the equations defined in the first part.
https://jise.scu.ac.ir/article_14083_6c4b924a8e7fb3eb0fdfbc5b002d92aa.pdf
2019-03-21
115
127
10.22055/jise.2017.22168.1589
Crop Yield
Simulation
Normalized Water Productivity
Maximum Canopy Cover
Canopy Growth Coefficient
Omid
Mirzaee
omidmirzaee@ut.ac.ir
1
Master Science Student of Irrigation and drainage Eng. Department of Irrigation and drainage Engineering, Aburaihan College, University of Tehran.
AUTHOR
Ali
Rahimikhoob
akhob@ut.ac.ir
2
Professor, Department of Irrigation and drainage Engineering, Aburaihan College, University of Tehran
LEAD_AUTHOR
Maryam
Varavipour
varavipour@ut.ac.ir
3
Associate Professor, Department of Irrigation and drainage Engineering, Aburaihan College, University of Tehran, Iran
AUTHOR
1-Ali, M.H., Hoque, M.R., Hassan, A. and Khair, A., 2007. Effects of deficit irrigation on yield, water productivity, and economic returns of wheat. Agricultural Water Management, 92(3), pp.151-161.
1
2- Allen, R.G., Pereira, L.S., Raes, D. and Smith, M., 1998. Crop evapotranspiration-Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56. FAO, Rome.
2
3- Angus, J.F., 2001. Nitrogen supply and demand in Australian agriculture. Animal Production Science, 41(3), pp. 277-288.
3
4-Araya, A., Habtu, S., Hadgu, K.M., Kebede, A. and Dejene, T., 2010. Test of AquaCrop model in simulating biomass and yield of water deficient and irrigated barley (Hordeum vulgare). Agricultural Water Management, 97(11), pp.1838-1846.
4
5-Boogaard, H.L., De Wit, A.J.W., Roller, J.A. and Van Diepen, C. A., 2014. WOFOST CONTROL CENTRE 2.1; User’s guide for the WOFOST CONTROL CENTRE 2.1 and the crop growth simulation model WOFOST 7.1.7. Wageningen (Netherlands), Alterra, Wageningen University & Research Centre.
5
6-Eickhout, B., Bouwman, A.V. and Van Zeijts, H., 2006. The role of nitrogen in world food production and environmental sustainability. Agriculture, Ecosystems & Environment, 116(1), pp.4-14.
6
7-Farahani, H.J., Izzi, G. and Oweis, T.Y., 2009. Parameterization and evaluation of the AquaCrop model for full and deficit irrigated cotton. Agronomy Journal, 101(3), pp.469-476.
7
8- Geerts, S. and Raes, D., 2009. Deficit irrigation as an on-farm strategy to maximize crop water productivity in dry areas. Agricultural Water Management, 96(9), pp.1275-1284.
8
9- Geerts, S., Raes, D., Garcia, M., Condori, O., Mamani, J., Miranda, R., Cusicanqui, J., Taboada, C., Yucra, E. and Vacher, J., 2008. Could deficit irrigation be a sustainable practice for quinoa (Chenopodium quinoa Willd.) in the Southern Bolivian Altiplano?. Agricultural Water Management, 95(8), pp.909-917.
9
10- Hsiao, T.C., Heng, L., Steduto, P., Rojas-Lara, B., Raes, D. and Fereres, E., 2009. AquaCrop—the FAO crop model to simulate yield response to water: III. Parameterization and testing for maize. Agronomy Journal, 101(3), pp.448-459.
10
11- Igbadun, H.E., Salim, B.A., Tarimo, A.K. and H.F. Mahoo. 2008. Effects of deficit irrigation scheduling on yields and soil water balance of irrigated maize. Irrigation Science. 27(1):11-23.
11
12- Jones, C.A., Kiniry, J.R. and Dyke, P.T., 1986. CERES-Maize: A simulation model of maize growth and development. Texas A&M University Press.
12
13- Jones, J.W., Hoogenboom, G., Porter, C.H., Boote, K.J., Batchelor, W.D., Hunt, L.A., Wilkens, P.W., Singh, U., Gijsman, A.J. and Ritchie, J.T., 2003. The DSSAT cropping system model. European Journal of Agronomy, 18(3), pp.235-265.
13
14- Kang, S., Shi, W. and Zhang, J., 2000. An improved water-use efficiency for maize grown under regulated deficit irrigation. Field Crops Research, 67(3), pp.207-214.
14
15- Liu, C.W., Sung, Y., Chen, B.C. and Lai, H.Y., 2014. Effects of nitrogen fertilizers on the growth and nitrate content of lettuce (Lactuca sativa L.). International Journal of Environmental Research and Public Health, 11(4), pp.4427-4440.
15
16- Mousavizadeh, S.F., Honar, T. and Ahmadi, S.H., 2016. Assessment of the AquaCrop Model for simulating Canola under different irrigation managements in a semiarid area. International Journal of Plant Production, 10(4), pp.425-446.
16
17- Patrignani, A. and Ochsner, T.E., 2015. Canopeo: A powerful new tool for measuring fractional green canopy cover. Agronomy Journal, 107(6), pp.2312-2320.
17
18- Raes, D., Steduto, P., Hsiao, T.C. and Fereres, E., 2009. AquaCrop the FAO crop model to simulate yield response to water: II. Main algorithms and software description. Agronomy Journal, 101(3), pp.438-447.
18
19- Steduto, P., Hsiao, T.C. and Fereres, E., 2007. On the conservative behavior of biomass water productivity. Irrigation Science, 25(3), pp.189-207.
19
20- Steduto, P., Hsiao, T.C., Raes, D. and Fereres, E., 2009. AquaCrop—The FAO crop model to simulate yield response to water: I. Concepts and underlying principles. Agronomy Journal, 101(3), pp.426-437.
20
21 -Stöckle, C.O., Donatelli, M. and Nelson, R., 2003. CropSyst, a cropping systems simulation model. European Journal of Agronomy, 18(3), pp.289-307.
21
22- Van Gaelen, H., Tsegay, A., Delbecque, N., Shrestha, N., Garcia, M., Fajardo, H., Miranda, R., Vanuytrecht, E., Abrha, B., Diels, J. and Raes, D., 2015. A semi-quantitative approach for modelling crop response to soil fertility: evaluation of the AquaCrop procedure. The Journal of Agricultural Science, 153(07), pp.1218-1233.
22
ORIGINAL_ARTICLE
Estimating Scour Below Inverted Siphon Structures using Stochastic and Soft Computing Approaches
Hydraulic structures that change the flow pattern around themselves may cause local scouring, since changing the flow characteristics (velocities or turbulence) can lead to changes in sediment transport capacity. The difference in height between the upstream and downstream bed levels of the river-intersecting structures will form a vertical waterfall in the tail-water that plays an important role in grade-control structures. An example of these structures is the Balaroud inverted siphon structure in Dez irrigation and drainage network in the south of Andimeshk county, Khuzestan province, Iran. Various experimental studies on downstream scour of hydraulic structures are available in the literature. The main objectives of this study were to investigate the scour process, estimating the maximum depth and location of the scour hole, and evaluating the maximum height and location of the sedimentary mound at the downstream of the grade-control structure. In this study, the experimental data obtained by the previous researchers was used, and the equations were reviewed and re-written using the D’Agostino and Ferro (2004) studies in order to improve the accuracy of the existing relationships. In the next step, the hydroinformatic science and the soft computing technique were used to achieve more accuracy for the relationships of the hole’s characteristic and the sedimentary mound in alluvial ducts containing non-cohesive sediments.
https://jise.scu.ac.ir/article_14074_4ef88661b1b54de329262f212905d57b.pdf
2019-03-21
129
143
10.22055/jise.2017.22069.1584
Scour
Inverted Siphon
Neural Network
Genetic Programming
Masoumeh
Fatahi
masumefatahi@yahoo.com
1
Grajuate Student, Civil Engineering Department, Jundi-Shapur University of Technology, Dezful, Iran.
AUTHOR
Babak
Lashkarara
babak_lashkarara@yahoo.com
2
Assistant professor
LEAD_AUTHOR
Leila
Najafi
najafi@jsu.ac.ir
3
Instructor, Civil Engineering Department, Jundi-Shapur University of Technology, Dezful, Iran.
AUTHOR
1-Bormann, N.E. and Julien, P.Y., 1991. Scour Downstream of Grade-Control Structures. Journal of Hydraulic Engineering, 117(5), pp.579-594.
1
2-Christopher Frey, H. and S.R. Patil, 2002. Identification and review of sensitivity analysis methods. Risk analysis, 22(3): 553-578.
2
3-Coello, C.A.C., Lamont, G.B. and Van Veldhuizen, D.A., 2007. Evolutionary Algorithms for Solving Multi-Objective Problems New York: Springer. (5),131-154.
3
4-D’Agostino, V., 1996. La progettazione delle controbriglie. XXV Convegno di Idraulica e Costruzioni Idrauliche, Politec. di Turin, Turin, Italy, pp.16-18.
4
5-D'Agostino, V., 1994. Indagine Sullo Scavo a Valle Di Opere Trasversali Mediante Modello Fisico a Fondo Mobile. L'Energia elettrica, 71(2), pp.37-51.
5
6-Doddiah, D., Albertson, M.L. and R.K. Thomas, 1953. Scour from jets. CER; 54-4.
6
7-D’Agostino, V. and Ferro, V., 2004. Scour on Alluvial Bed downstream of Grade-Control Structures. Journal of Hydraulic Engineering, 130(1), pp.24-37.
7
8- Falciai, M. and Giacomin, A., 1978. Indagine Sui Gorghi Che Si Formano a Valle Delle Traverse Torrentizie. Italia Forestale Montana, 23(3), pp.111-123.
8
9-Koza, J.R., 1994. Genetic Programming: on the Programming of Computers by Means of Natural Selection, Cambridge, Bradford Book.
9
10-Lenzi, M.A., Marion, A., Comiti, F. and Gaudio, R., 2000. Riduzione Dello Scavo a Valle di Soglie Di Fondo Per Effetto Dell’interferenza Tra le Opere. Proc., 27th Convegno di Idraulica e Costruzioni Idrauliche, Genova, 3, pp.271-278.
10
11-Mason, P.J. and Arumugam, K., 1985. Free Jet Scour Below Dams and Flip Buckets. Journal of Hydraulic Engineering, 111(2), pp.220-235.
11
12-McCulloch, W.S. and Pitts, W., 1943. A logical Calculus of the Ideas Immanent in Nervous Activity. The Bulletin of Mathematical Biophysics, 5(4), pp.115-133.
12
13-Mossa, M. "Experimental study on the scour downstream of grade-control structures." Proc., 26th Convegno di Idraulica e Costruzioni Idrauliche, Catania 3 (1998): 581-594.
13
14-Robinson, K.M., Cook, K.R. and G.J., 2000. Velocity field measurements at an overfall, Transactions of the ASAE. 43(3):665-670.
14
15-Rouse, H., 1940. Criteria for Similarity in the Transportation of Sediment. University of Iowa Studies in Engineering, 20, pp.33-49.
15
16- Soltani, A., Gorbani, M., Fakheri Fard, A., Darbandi, S., Farsadizadeh, D. (2011). 'Genetic Programming and Its Application in Rainfall-Runoff Modeling', Water and Soil Science, 20(4), pp. 62-71. (In Persian).
16
17- Veronese, A., 1937. Erosioni di fondo a valle di uno scarico. Annal. Lavori Pubbl, 75(9), pp.717-726.
17
18- Yen, C.L. 1987. Discussion on ‘Free jet Scour Below Dams and Flip Buckets, by Peter J. Mason and Kanapathypilly Arumugam, Journal of Hydraulic Engineering, 113(9): 1200–1202.
18
ORIGINAL_ARTICLE
Zoning Map of Drought Characteristics under Climate Change Scenario using Copula Method in the Zayandeh Roud River Catchment
Drought is one of the extreme events that can impact vast areas gradually over time. Also understanding the implications of climate change on drought is important for water resources management in order to manage the available water resources in the basin appropriately. Having better understanding of drought condition, drought indices were developed. Several drought indices are used for identifying and quantifying droughts that among them the standardized precipitation index (SPI) provides proper results. Based on each drought indices, drought characteristics can be calculated namely drought duration and drought severity. Drought characteristics are highly correlated to each other. Trusting on one of the drought characteristics for managing the water resources may lead to inappropriate understanding of drought condition. Therefore, it is important to notice all characteristics together by using a joint distribution function that among them copula function is prevalently used in hydrology studies. Several studies were examined the impact of climate change on the drought conditions by using different drought indices in many basins in the word and Iran (Bazrafshan et al., 2015, Kouchaki ei al. 2007, Mahsafar, 2011, Eghtedarnejad et al., 2016, Naserzadeh and Ahmadi, 2012, Hoffman et al., 2009, Kirono et al., 2011, Selvaraju and. Baas, 2007, Lee et al., 2013, Serinaldi et al., 2009, Mirabbasi et al., 2013). There have been many studies which using copula function in order to compute the return period of the drought (Abbasian et al., 2014, Golian, 2010, Serinaldi et al., 2009, Mirabbasi et al., 2016, Maddadgar and Moradkhani, 2011, Chen et al., 2011). Therefore, in this study drought condition was analyzed by using copula under climate change condition to have a better understanding of future drought situation and the return periods of drought events in the future. The SPI was used to extract the drought duration and drought severity in the ZayandehRoud River basin for a historical period (1979-2008), and the far future (2058-2099) by using 15 GCM models from the IPCC Fifth Assessment Report (AR5) scenarios. A significant past drought event in the basin was used as a benchmark with severity of -4.39 and duration of 6 months. The Archimedean and Elliptical families of copula functions were used to construct the joint distribution functions for evaluating the drought return periods in the basin. Results from historical analysis show that the return period of significant past drought is about 5 years and this period will increase to about 25 years in the future.
https://jise.scu.ac.ir/article_14099_1e1a3d2e23e6c957d1a86b35977849b0.pdf
2019-03-21
145
160
10.22055/jise.2017.20611.1485
Drought
Drought Duration
Drought Severity
climate change
Bivariate Copula Functions
Elaheh
MotevaliBashi Naeini
mbnaeini.e@gmail.com
1
Ph. D Student, Department. of Hydrology and Water Resources, Faculty of Water Science, Shahid Chamran University of Ahvaz, Iran
LEAD_AUTHOR
Ali Mohammad
Akhond Ali
akhali@scu.ac.ir
2
Professor, Department. of Hydrology and Water Resources, Faculty of Water Science, Shahid Chamran University of Ahvaz, Iran.
AUTHOR
Fereidon
Radmanesh
feridon_radmanesh@yahoo.com
3
Associate Professor, Department. of Hydrology and Water Resources, Faculty of Water Science, Shahid Chamran University of Ahvaz, Iran.
AUTHOR
Mohammadreza
Sharifi
msharifi@scu.ac.ir
4
استادیار گروه هیدرولوژی و منابع آب دانشکده مهندسی علوم آب دانشگاه شهید چمران اهواز.
AUTHOR
Jahangir
Abedi Koupaei
koupai@yahoo.com
5
Professor, Department of Water Engineering, College of Agriculture, Isfahan University of Technology, Isfahan, Iran.
AUTHOR
1-Abbasian, M., Jalali, S., Mousavi Nadoushani, S., 2014. Multivariate Flood Frequency Analysis Using Copula Function and Parametric and Nonparametric Margin Distributions. Modares Civil Engineering Journal, 14(4),pp.81-92 . (In Persian).
1
2-Bazrafshan, J., Hojaji, S. and Hasheminasab, A., 2015. Impact of Future Climate Change on the Possibilities of Transferring Drought Classes in Iran's Limited Climate (Case study: Bandar Anzali and Bushehr stations). Journal of Water and Soil Conservation, 22(1), pp.131-150. (In Persian)
2
3-Chen L, Singh V.P, and Guo S. 2011. Drought Analysis Based on Copulas. Symposium on Data-Driven Approaches to Droughts, Paper 45.
3
4-Chen, L. Singh, VP. Guo, S. Mishra, AK. Guo, J. 2012. Drought analysis using copulas. Journal of Hydrologic Engineering, 18, pp.797-808.
4
5-Chen, YD. Zhang, Q. Xiao, M. Singh, VP, 2013. Evaluation of risk of hydrological droughts by the trivariate Plackett copula in the East River basin (China). Natural Hazards, 68, pp.529-47.
5
6-Eghtedarnejad, M., Bazrafshan, A., Sadeghi Lari, A., 2016. In the analysis of meteorological drought characteristics and SDI and RDI, SPI and Comparative Evaluation of Hydrological Indices (Case Study: Bam Plain). Water and Soile Science, 26(2),pp.69-81. (In Persian).
6
7-Golian, S., 2010. Flood Prediction Using Rainfall Threshold Method Based on Spatial Distribution. Thesis, AmirKabir Tecnology University of Tehran, Iran. (In Persian).
7
8-Hoffman, MT. Carrick, P. Gillson, L. West, A. 2009. Drought, climate change and vegetation response in the succulent karoo, South Africa. South African Journal of Science ,105,pp.54-60.
8
9-Kirono, D. Kent, D. Hennessy, K. Mpelasoka, F. 2011. Characteristics of Australian droughts under enhanced greenhouse conditions: Results from 14 global climate models. Journal of Arid Environments, 75, pp.566-75.
9
10-Kouchaki, A., Nasiri, M. and Kamali, G., 2007. Study of Iran Index in Climate Change Conditions. Iranian Journal of Field Crops Research, 5(1), pp.133-142. (In Persian).
10
11- Lee, T. Modarres, R. Ouarda, T. 2013. Data‐based analysis of bivariate copula tail dependence for drought duration and severity. Hydrological Processes, 27, pp.1454-63.
11
12- Li, C. Singh, VP. Mishra, AK. 2013. A bivariate mixed distribution with a heavy-tailed component and its application to single-site daily rainfall simulation. Water Resources Research, 49, pp.767-89.
12
13- Madadgar, S. Moradkhani, H. 2011. Drought analysis under climate change using copula. Journal of Hydrologic Engineering, 18, pp.746-59.
13
14-Mahsafar, H., 2011. Climate change effects on Water Bill on Lake Urmia. Iran Water Resources Research, 7(1), pp.47-58. (In Persian).
14
15- McKee, TB. Doesken, NJ. Kleist, J. 1993. The relationship of drought frequency and duration to time scales. Proc. Proceedings of the 8th Conference on Applied Climatology. American Meteorological Society Boston. MA. 17:179-83.
15
16- Mirabbasi, R. Anagnostou, E. N. Fakheri-Fard, A. Dinpashoh, Y. Eslamian, S. 2013. Analysis of meteorological drought in northwest Iran using the Joint Deficit Index. Journal of Hydrology, 492, pp.35–48.
16
17- Mousavi, S-F. 2005. Agricultural drought management in Iran. Proc. Water Conservation, Reuse, and Recycling: Proceedings of an Iranian-American Workshop. National Academies Press, pp.106-13.
17
18- Naserzadeh, M., Ahmadi, A., 2012. Performance Evaluation of Meteorological Drought Indicators in Drought Evaluation and its Zoning in Qazvin Province. Scientific Journals Management System, 12(162), pp.27-141. (In Persian).
18
19- Nelsen, RB. 2007. An introduction to copulas. Springer Science & Business Media.
19
20- Safavi, HR. Esfahani, MK. Zamani, AR. 2014. Integrated index for assessment of vulnerability to drought, case study: Zayandehrood River Basin, Iran. Water Resources Management, 28, pp.1671-88.
20
21- Selvaraju, R. Baas, S. 2007. Climate Variability and Change: Adaptation to Drought in Bangladesh: a Resource Book and Training Guide. Food & Agriculture Org.
21
22- Serinaldi, F. Bonaccorso, B. Cancelliere, A. Grimaldi, S. 2009. Probabilistic characterization of drought properties through copulas. Physics and Chemistry of the Earth, Parts A/B/C 34, pp.596-605.
22
23- Shiau, J. 2006. Fitting drought duration and severity with two-dimensional copulas. Water Resources Management, 20, pp.795-815.
23
24- Thrasher, B. Xiong, J. Wang, W. Melton, F. Michaelis, A. Nemani, R. 2013. Downscaled climate projections suitable for resource management. Eos. Transactions American of Geophysical Union, 94, pp.321-3.
24
25- Wayne, G. 2013. The beginner’s guide to representative concentration pathways. skeptical science. Version 1.0. http://www.skepticalscience.com/rcp.php.
25
26- Xu, K. Yang, D. Xu, X. Lei, H. 2015. Copula based drought frequency analysis considering the spatio-temporal variability in Southwest China. Journal of Hydrology 527:630-40.
26
27- Yan, J. 2007. Enjoy the joy of copulas: with a package copula. Journal of Statistical Software, 21, pp.1-21.
27
28- Yang W. 2010. Drought analysis under climate change by application of drought indices and copulas, Dissertations and Theses, Portland State University, Portland. 716P.
28
29- Yevjevich, VM. 1967. An objective approach to definitions and investigations of continental hydrologic droughts. Hydrology Papers (Colorado State University).no. 23.
29
ORIGINAL_ARTICLE
Application of Sugarcane Bagasse in Controlling the Clogging of the Synthetic Drainage Envelopes in Ramhormoz Limy Soils
While there are several types of salts in the soil, salts that have higher solubility in water are dissolved and removed from the soil, But salts with low solubility in soil, sediment layers hard to cause clogging in the soil or in their coverage. Among the salts in soils of the arid and semi-arid areas, three compounds of calcium carbonate (with solubility of 0.013 gr/lit), magnesium carbonate (with solubility of 1.9 gr/lit) and calcium sulfate (with solubility of 2.5 gr/lit) salts, usually are found in these areas and have low solubility. Among the mentioned compounds, magnesium carbonate accumulation in soil is very low, while calcium carbonate and calcium sulfate salts concentration are found higher and can cause clogging by the sequential deposition. The amount of calcium carbonate in the soils of arid regions may reach up to 80 percent of soil weight. It provides the conditions for rapid deposition and a layer of rigid form and clogging the system (FAO, 1973). This experiment was conducted in order to analyze the application of sugarcane bagasse in controlling the clogging of the agricultural sub-surface drain envelopes.
https://jise.scu.ac.ir/article_14091_f14aa7cc0021bcd4ff3734409cfa335e.pdf
2019-03-21
161
174
10.22055/jise.2017.19508.1403
Sugarcane Bagasse
Subsurface drainage
limy soils
Drain clogging artificial cover
Atefeh
Raisinafchi
a.raisinafchi@gmail.com
1
Graduate student of irrigation and drainage at Shahid Chamran University of Ahvaz, Iran.
AUTHOR
Abdolrahim
Hooshmand
hooshmand_a@scu.ac.ir
2
Associate Professor of Irrigation and Drainage Department, Faculty of Water Sciences Engineering, Shahid Chamran University of Ahvaz, Iran
LEAD_AUTHOR
Abd Ali
Naseri
abdalinaseri@scu.ac.ir
3
Professor of Irrigation and Drainage Department of Shahid Chamran University of Ahvaz, Iran.
AUTHOR
1- Arvahi, A. and Naseri, A., 2006.Technical and Economic Evaluation of Application of Artificial Filters in Underground Drainage System and Comparison with Conventional Filters of Sand d in Abadan Villages. Irrigation and Drainage Master's thesis, Faculty of Agriculture, Bu-Ali Sina University, Hamedan. (In Persian).
1
2- Bresler, E., McNeal, B.L. and Carter, D.L., 2012. Saline and sodic soils: principles-dynamics-modeling (Vol. 10). Springer Science & Business Media.
2
3- Ghobadinia, M. and Rahimi, H., 2013. Clogging of drain covers. Seventh Drainage and Environmental Workshop. (In Persian).
3
4- Ghobadinia, M., Rahimi, H., Felavia, A., Sohrabi, t., Purbabai, A. and Skoncelos, A., 2011. Investigation of Calcium carbonate sedimentation in geotextile coating of agricultural drainage in laboratory conditions. Journal of Water and Soil, 24(3), pp.427-438. (In Persian).
4
5- Hashemi, S.E., Heidarpour, M. and Mostafazadeh-Fard, B., 2011. Nitrate removal using different carbon substrates in a laboratory model. Water Science and Technology, 63(11), pp.2700-2706.
5
6- Irrigation, D., 1973. Salinity-An International Source Book. FAO/UNESCO/Hutchinson, London.
6
7- Lindsay, W.L., 1979. Chemical equilibria in soils. John Wiley and Sons Ltd.
7
8- Langelier, W.F., 1946. Chemical equilibria in water treatment. Journal (American Water Works Association), 38(2), pp.169-178.
8
9- Moghimi, N., Naseri, A., Soltani mohamadi, A. and Hashemi Garmdareh, A., 2017. Study of sugarcane bagasse performance in reducing nitrate from drainage drainage of underground drainage. Journal of Irrigation Sciences and Engineering, 39(2), pp.49-61. (In Persion).
9
10- Ritzema, H.P., Satyanarayana, T.V., Raman, S. and Boonstra, J., 2008. Subsurface drainage to combat waterlogging and salinity in irrigated lands in India: Lessons learned in farmers’ fields. Agricultural Water Management, 95(3), pp.179-189.
10
11- Ryznar, J.W., 1944. A new index for determining amount of calcium carbonate scale formed by a water. Journal‐American Water Works Association, 36(4), pp.472-483.
11
12- Sayad, Gh. and Kazemi, H., 1998. Effect of sugarcane bagasse application on some physical properties of soil. Journal of Water and Soil,15(1), pp.57-67. (In Persian).
12
13- Stiff Jr, H.A. and Davis, L.E., 1952. A method for predicting the tendency of oil field waters to deposit calcium carbonate. Journal of Petroleum Technology, 4(09), pp.213-216.
13
14- Vlotman, W.F., Willardson, L.S. and Dierickx, W., 2000. Envelope Design for Subsurface Drains (No. 56). ILRI.
14
ORIGINAL_ARTICLE
Evaluation and Comparison of Drought in West Azerbaijan Using the SPI, CZI, PNI Iindices and Geographic Information System (GIS)
Recognizing and studying the drought phenomenon with regard to the affecting factors led to better understanding of this phenomenon and paved the way for short-term and long-term planning in relation to encountering, controlling and predicting of this phenomenon.Since to determine the severity, duration, and frequency of drought, is need to determine the drought by using indicators, drought monitoring is essential and researchers have always followed the use of indicators for drought monitoring as a management and planning tool. Drought monitoring is one of the prime factors in drought management. Monitoring systems have important roles in creating the drought plans and its management. Therefore, due to this importance and taking into account the ecological and geographical conditions of Lake Urmia during recent years, the study and monitoring of drought for the above area is necessary. Therefore, the purpose of this study was to investigate the drought characteristics and calculate the three (SPI, PNI, CZI) drought indexes and comparing their efficiency and accuracy in the Western Azerbaijan province, as well as evaluating the time trends of their changes over the entire province.
https://jise.scu.ac.ir/article_14084_81c31719d32ba5e42006af7e18b437ef.pdf
2019-03-21
175
188
10.22055/jise.2017.20678.1496
Drought Analysis
Wet Year ng
Performance of Indices
Meteorology
Tohid
Aligolinia
tohid323@yahoo.com
1
Candidate, Department of Water Engineering, Gorgan university of Agricultural Sciences and Natural Resources, Gorgan, Iran.
LEAD_AUTHOR
Negar
Rasouli Majd
negar_rasouli_92@yahoo.com
2
Ph.D. Candidate, Department of Water Engineering, Urmia University, Urmia, Iran.
AUTHOR
AboTaleb
Hezar Jaribi
hezab10@yahoo.com
3
Associate Professor, Department of Water Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran.
AUTHOR
1-Aligolinia, T., Rasouli Majd, N. and Rezaei, H. 2016. Evaluation of different GIS-based statistical methods in forecasting and zoning of salt invasion in West Azarbaijan Province aquifers, Environment and Water Engineering, 2 (2): 176-162. (In Persian).
1
2-Azizi, G. and Roshani, A. 2005. Evaluation of drought and wet years and there prediction using Halt Winters in the province, Geographic Researches Quarterly Journal, 20 (4): 63-48. (In Persian).
2
3-Cancelliere, A., Mauro, G., Bonaccorso, B. and Rossi, G. 2007. Drought forecasting using the Standarized Precipition Index. Journal of Water Resources Management, 21:801- 819.
3
4-Choi, M., Jacobs, J. M., Anderson, A. C., and Bosch, D. D. 2013. Evaluation of drought indices via remotely sensed data with hydrological variables. Journal of Hydrology, 476: 265–273.
4
5-Dalezios, N. R., Loukas, A., Vasiliades, L., and Liakopoulos, E. 2000. Severity-duration-frequency analysis of droughts and wet periods in Greece. Hydrological Sciences Journal, 45(5): 751-769.
5
6-Gorbani, Kh., Khalili, A., Alavi Panah, K., and Nakheeizadeh. 2010. Adaptive Study of Drought Meteorological Indexes of SIAP and SPI by Data Mining Method in Kermanshah Province. Journal of Water and Soil, 24 (3) : 426 - 417. (In Persian).
6
7-Guttmann, B. N. 1999. comparing the palmer drought index and the standardized precipitation index. Journal of the American Water Resources Association, 34(1): 133-121.
7
8-Hong, W., Hayes, M. J., Welss, A., and Hu, Q. 2001. An evaluation the standardized precipitation index, the china-z index and the statistical z-score. International Journal of Climatology, 21:745-758.
8
9-Ju, X., Yang, X. W., Chen, L. J., Wang, Y. M. 1997. Research on determination of indices and division of regional flood/drought grades in China (in Chinese). Quarterly Journal of Applied Meteorology, 8(1): 26-33.
9
10-Leshni Zand, M and Telluri, AS. 2004. Study of climate drought and its prediction in six areas in the west and northwest of Iran, Geographic Researches Quarterly Journal, 72: 86-75. (In Persian).
10
11-McKee, T.B., Doesken, N.J and Kleist, J. 1993. The relationship of drought frequency and duration to time scales. 8th conference on Applied Climatology, 17-22 January, Anaheim, CA, pp. 176-184.
11
12-McKee, B. Nolan, T., Doeskin, J., and Kleist, J. 1995. Drought monitoring with multiple timescales. 9th. Conference on Applied Climatology, 15-20 January, Boston Massachusetts, Pp: 233-236.
12
13-Mirabbasi, R., Anagnostou, E. N., Fakheri-Fard, A., Dinpashoh, Y., Eslamian, S. 2013. Analysis of meteorological drought in northwest Iran using the Joint Deficit Index. Journal of Hydrology, 492: 35–48.
13
14-Mishra A. K., Desai V. R., and Singh V. P. 2005. Drought forecasting using a hybrid stochastic and neural network model. Journal of Hydrology Engineering, ASCE 12(6): 626–638.
14
15-Mishra A.K., V. P. Singh. 2010. A review of drought concepts. Journal of Hydrology, 391: 202–216.
15
16-Moradi, h. R Rajabi, M. and Farajzadeh, M. 2007. Trend analysis and spatial characteristics of drought severity in Fars province. Iranian Journal of Range and Desert Research, 14: 109-97. (In Persian).
16
17-Piry, H., Rahdari, M. and Maleki, S. 2013. Study and comparison of four meteorological drought indexes efficiency in drought management in Sistan and Baluchestan province, Journal of Irrigation and Water Engineering, 3 (11): 114-96. (In Persian).
17
18-Sadr Afshari, S. And Faizollahpour, M. 2011. Estimation of Urmia drought by using SPI, DI, ZSI and comparing these methods to achieve the best drought index. Second National Conference on Desertification and Sustainable Development of Iran's Desert Lagoons, Islamic Azad University of Arak, p. 117. (In Persian).
18
19-Samiey, M. and Telluri, A. 2008. Investigation of the severity of hydrological droughts in Tehran watersheds. Journal of Research and Development, 79: 29-21. (In Persian).
19
20-Simani, N. 2011. Analysis the occurrence of drought and trapping phenomena using several rainfall-based profiles (case study; Kerman province); Second National Conference on Desertification and Sustainable Development of Iran's Desert lagoons, Islamic Azad University Arak P. 130. (In Persian).
20
21-Tsakiris, G., and Vangelis, H. 2005. Establishing a drought index incorporating evapotranspiration. European Water, 9)10(:3-11.
21
22-Willeke, G., Hosking, R. M., Wallis, J. R, and Guttman, N. B. 1994. The national drought atlas. Institute for Water Resources Report 94-NDs-4, U.S Army Crops of Engineers. 1-18.
22
23-Xangsayasane, P., Jongdee, B., Pantuwan, G., Fukai, S., Mitchell, J. H., Inthapanya, P., and Jothiyangkoon, D. 2014. Genotypic performance under intermittent and terminal drought screening in rainfed lowland rice. Field Crops Research, 156: 281–292.
23
ORIGINAL_ARTICLE
Determination of Opening Level, Spillway Gate Dimensions and its Control using Linearization of the Outgoing Discharge Equations and the Water Level of the Dam Reservoir
Spillway gates are used to increase water depths on power generating turbines, regulate the flow passing the spillway and augment the safety of the dam and its installations during flooding.Inappropriate performance, inaccuracy in determining the proper dimensions and sudden opening of the spillway gate(s) causes vibration, overtopping, instability in the dam, and also damages to the dam's body, its installations and even downstream areas. Regarding the rainfall reduction, adjusting reservoir level, increasing water pressure on power generating turbines and proper use of water inside the reservoir, determining the accurate dimensions of the gate and making smart spillway gate(s) are required. Using the technique of linearizing the equations of discharge passing spillway and water level inside the reservoir and the point of equilibrium of the incoming and outgoing discharge hydrograph, the dimensions of the spillway gate are carefully designed and constructed in accordance with the environmental conditions and its installation site. By smarting the spillway gate and determining its precise dimensions, it will be possible to control floods remotely, manage water consumption, save manpower and reduce visual error.
https://jise.scu.ac.ir/article_14089_77a346dc5ba34c2e734fa80e90e29b95.pdf
2019-03-21
189
200
10.22055/jise.2017.22234.1596
Keywords: linearization of output rate equation
linearization of equation of the water level (depth)
overflow gate
optimal operation of the reservoir
Mohammad Ali
Lotfollahi-Yaghin
lotfollahi@tabrizu.ac.ir
1
professor, PhD, Faculty of Civil Engineering, University of Tabriz, Iran.
LEAD_AUTHOR
Mohammad Rahim
Afshani
smr2508@yahoo.com
2
PhD Candidate, MSC, Faculty of Civil Engineering, University of Tabriz, Iran
AUTHOR
1- Abrari, L., Talebbeydokhti, N. and S. Sahraei. 2015. Investigation of Hydraulic Performance of Piano Shaped Weirs Using Three Dimensional Numerical Modeling. Ijst, Transactions of Civil Engineering. 39, 539-558, Printed In The Islamic Republic Of Iran.
1
2- Acanal, N. and T. Haktanir. 1999. Five stage flood routing for gated reservoirs by grouping floods into five different categories according to their return periods. Hydrological Sciences Journal. 44(2): 163–172.
2
3- Ahmad Al_Issa, H., Thuneibat, S., Ijjeh, A.and M. Abdesalam. 2016. Sensors application using PIC16F877A Microcontroller. American Journal of Remote Sensing. 4(3): 13-18.
3
4- Bartosiewicz, Z., Kotta, Ü., Pawłuszewicz, E. and Wyrwas, M., 2011. Control systems on regular time scales and their differential rings. Mathematics of control, signals, and systems, 22(3), pp.185-201.
4
5- Baghlani, A. and N. Talebbeydokhti. 2013. Hydrodynamics of right-angled channel confluences by a 2D numerical model. Iranian Journal of Science & Technology Transactions of Civil Engineering. 37(2): 271-283.
5
6- Camnasio, E., Erpicum, S., Orsi, E., Pirotton, M., Schleiss, A. J., & B. Dewals. 2013. Coupling between flow and sediment deposition in rectangular shallow reservoirs. Journal of Hydraulic Research.51(5): 535–547.
6
7- Carusone, T.C., John, D.A. and K.W. Martin. 2012. Analog Integrated Circuit Design. Second Edition, John Wiley and Sons, Inc., Hoboken.
7
8 Chen, J., Guo, S., Li, Y., Lui, P. and Y. Zhou. 2013. Joint operation and dynamic control of flood limiting water levels for cascade reservoirs. Water Resources Management. 27(3): 749-763.
8
9- Chen, W., Anderson, B.D.O., Deistler, M. and A. Filler. 2012. Properties of blocked linear systems. Automatica. 48: 2520–2525.
9
10- Dewals, B. J., Kantoush, S. A., Erpicum, S., Pirotton, M.& A.J. Schleiss. 2008. Experimental and numerical analysis of flow instabilities in rectangular shallow basins. Environmental Fluid Mechanics. 8(1): 31–54.
10
11- Dorf, R.C and R.H. Bishap. 2010. Introduction Solutions Manual for Modern Control Systems. Twelfth Edition, Prentice Hall, New York.
11
12- Giannakis, E., Bruggeman, A., Djuma, H., Kozyra, J. and J. Hamme. 2016. Water pricing and irrigation across Europe: opportunities and constraints for adopting irrigation scheduling decision support systems.Water Science & Technology: Water Supply. 16 (1): 245-252.
12
13. Hosseini, S. M. and Abrishami, J. 2010. Hydraulic of Open Channels. Twenty-Fourth Edition, Astan Quds Razavi, Mashhad. (in persian).
13
14- Huschto, T., Feichtinger, G., Hart, R.F., Kort, P.M., Sager, S. and S.S. Seidl. 2011. Numerical solution of a conspicuous consumption model with constant control delay.Automatica 47: 1868–1877.
14
15- Inoue, M., Wada, T., Ikeda, M. and E. Uezato. 2015. State-space H∞ controller design for descriptor systems. Automatica 59: 164–170.
15
16- Karris, S.T. 2003. Signals and System. Second Edition, California: Orchard Publications, California.
16
17- Kumar, D. N., Baliarsingh, F. and K.S. Raju. 2010. Optimal reservoir operation for flood control using folded dynamic programming. Water Resource Management. 24(6): 1045–1064.
17
18- Liu, X., Qu, H., Zhao, J., Chen, B. 2017. “State space maximum correntropy filter.” Signal Processing, Vol. 130, PP. 152–158.
18
19- Lumbroso, D. and Gaume, E., 2012. Reducing the uncertainty in indirect estimates of extreme flash flood discharges. Journal of Hydrology, 414, pp.16-30.
19
20- Mariën, J.L., 1984. Controllability conditions for reservoir flood control systems with applications. Water Resources Research, 20(11), pp.1477-1488.
20
21- Medeiros, S.C., Hagen, S.C. and Weishampel, J.F., 2012. Comparison of floodplain surface roughness parameters derived from land cover data and field measurements. Journal of Hydrology, 452, pp.139-149.
21
22- Mohammadzadeh-Habili, J., Heidarpour, M., Mousavi, S.F. and Haghiabi, A.H., 2009. Derivation of reservoir’s area-capacity equations. Journal of Hydrologic Engineering, 14(9), pp.1017-1023.
22
23- Ogata, K. 2010. Modern Control Engineering. Fifth Edition, Prentice Hall, New Jersey.
23
24- Oppenheim, A.R., Willsky, A. and S. Hamid Nawab. 1997. Signals and Systems. Second Edition, Original English Language Edition Published By Prentice Hall International, Inc., China.
24
25- Sule, B.F. and S.A. Alabi. 2013. Application of synthetic unit hydrograph methods to construct storm hydrographs. International Journal of Water Resources and Environmental Engineering 5(11): 639-647.
25
26- Tsui, K.M. and Chan, S.C., 2011. A versatile iterative framework for the reconstruction of bandlimited signals from their nonuniform samples. Journal of Signal Processing Systems, 62(3), pp.459-468.
26
27- Tu, Y.Q. and Y.L. Shen. 2017. Phase correction autocorrelation-based frequency estimation method for sinusoidal signal.Signal Processing 130: 183–189.
27
28- Wei, C.C. and N.S. Hsu. 2009. Optimal tree based release rules for real-time flood control operations on a multipurpose multi reservoir system. Journal of Hydrology 365(3): 213–224.
28
29- Windsor, J.S., 1973. Optimization model for the operation of flood control systems. Water Resources Research, 9(5), pp.1219-1226.
29
30- Zang, S.T., Liu, Y., Li, M.M. and B. Liang. 2016. Distributed hydrological models for addressing effects of spatial variability of roughness on overland flow.Water Science and Engineering 9(3): 249-255.
30
ORIGINAL_ARTICLE
Assessment of Developed 1-parameter Mishra-Singh Model for Flood Hydrograph Estimation
There are various models for flood prediction that are based on different conceptual basis. The current SCS-CN model is a well-known model in this field that is widely used in Iran and other countries. Recent researches focuses on improvement of this model and improve its efficiency but it is necessary to evaluate the improved models for catchments of Iran. The objective of this study is the comparison of current SCS-CN and developed Mishra-Singh (One Parameter) models for flood hydrograph and peak estimation using data of five catchments in Golestan province. Methodology Study Area and Used Data Five catchments (including Galikesh, Tamer, Kechik, Vatana and Nodeh) located in Golestan province were considered to evaluate different models for flood hydrograph estimation. The characteristics of the selected basins are presented in Table
https://jise.scu.ac.ir/article_14082_9b4c6cc60fba036d83099e288f1a48b5.pdf
2019-03-21
201
213
10.22055/jise.2018.25420.1749
SCS-CN
1-Parameter Mishra-Singh Model
Hydrograph
Peak Discharge
Golestan
Sanaz
Daei
sanazdaei826@yahoo.com
1
MSc Graduated, Water Engineering Department, Faculty of Water and Soil Engineering, Gorgan University of Agricultural Sciences and Natural Resources.
AUTHOR
Meysam
Salarijazi
meysam.salarijazi@gmail.com
2
Assistant Professor, Water Engineering Department, Faculty of Water and Soil Engineering, Gorgan University of Agricultural Sciences and Natural Resources.(
LEAD_AUTHOR
Khalil
Ghorbani
ghorbani.khalil@yahoo.com
3
Associate Professor, Water Engineering Department, Faculty of Water and Soil Engineering, Gorgan University of Agricultural Sciences and Natural Resources.
AUTHOR
Mahdi
Meftah Halaghi
meftahhalaghi@gmail.com
4
Associate Professor, Water Engineering Department, Faculty of Water and Soil Engineering, Gorgan University of Agricultural Sciences and Natural Resources.
AUTHOR
1- Adib, A., Salarijazi, M., Vaghefi, M., Shooshatari, M.M. and AkhondAli, A.M., 2010a. Comparison between GcIUH-Clark, GIUH-Nash, Clark-IUH, and Nash-IUH models. Turkish Journal of Engineering and Environmental Sciences, 34(2), pp.91-104.
1
2- Adib, A., Salarijazi, M. and Najafpour, K., 2010b. Evaluation of synthetic outlet runoff assessment models. Journal of Applied Sciences and Environmental Management, 14(3), pp.13-18.
2
3- Adib, A., Salarijazi, M., Shooshtari, M.M. and Akhondali, A.M., 2011. Comparison between characteristics of geomorphoclimatic instantaneous unit hydrograph be produced by GcIUH based Clark Model and Clark IUH model. Journal of Marine Science and Technology, 19(2), pp.201-209.
3
4- Ajmal, M., Khan, T.A. and Kim, T.W., 2016a. A CN-based ensembled hydrological model for enhanced watershed runoff prediction. Water, 8(1), pp.1-17.
4
5- Ajmal, M., Kim, T.W. and Ahn, J.H., 2016b. Stability assessment of the curve number methodology used to estimate excess rainfall in forest-dominated watersheds. Arabian Journal of Geosciences, 9(5), pp.1-14.
5
6- Bahrami, E., Mohammadrezapour, O., Salarijazi, M., Haghighat jou, Parviz. 2019. Effect of Base Flow and Rainfall Excess Separation on Runoff Hydrograph Estimation using Gamma Model (Case Study: Jong Catchment). KSCE Journal Civil Engineering, 23(3).1-7. https://doi.org/10.1007/s12205-019-0591-3
6
7- Bisantino, T., Bingner, R., Chouaib, W., Gentile, F. and Trisorio Liuzzi, G., 2015. Estimation of runoff, peak discharge and sediment load at the event scale in a medium‐size Mediterranean watershed using the AnnAGNPS model. Land Degradation & Development, 26(4), pp.340-355.
7
8- Daei, S., Salarijazi, M., Ghorbani, Kh., Meftah Halaghi, M. 2018 a. Improvement of Estimation of Flood Hydrograph Using Modified Curve Number (non-linear Ia-S) Model. Ecohydrology, 5(3), pp.931-939. (In Persian).
8
9- Daei, S., Salarijazi, M., Ghorbani, Kh., Meftah Halaghi, M. 2018 b. Comparative Assessment of Conventional and Calibrated Curve Number Models in Flood and Runoff Estimation (Studied Catchments: Galikesh, Tamer, Nodeh, Kechik and Vatana in Golestan province). Iranian Journal of Irrigation and Drainage, 12(1), pp.143-152. (In Persian).
9
10- Derdour, A., Bouanani, A. and Babahamed, K., 2018. Modelling rainfall runoff relations using HEC-HMS in a semi-arid region: Case study in Ain Sefra watershed, Ksour Mountains (SW Algeria). Journal of Water and Land Development, 36(1), pp.45-55.
10
11- Deshmukh, D.S., Chaube, U.C., Hailu, A.E., Gudeta, D.A. and Kassa, M.T., 2013. Estimation and comparision of curve numbers based on dynamic land use land cover change, observed rainfall-runoff data and land slope. Journal of Hydrology, 492, pp.89-101.
11
12- Eidipour, A., Akhondali, A.M., Zarei, H. and Salarijazi, M., 2016. Flood hydrograph estimation using GIUH model in ungauged karst basins (Case study: Abolabbas Basin). TUEXENIA, 36(36), pp.26-33.
12
13- Ghorbani, Khalil., Salarijazi, Meysam ., Abdolhosseini, Mohammad., Eslamian, Saeid., Ahmadianfar, Iman. 2019. Evaluation of Clark IUH in rainfall-runoff modelling (case study: Amameh Basin). International Journal of Hydrology Science and Technology, 9(2), pp.137-153.
13
14- Kumar, P., Kudrat, K., and Bubbar, S. 1994. Simulation of SCS runoff curve number from digital remote sensing data. International Conference on Land Resources Management, India.
14
15- Lal, M., Mishra, S.K., Pandey, A., Pandey, R.P., Meena, P.K., Chaudhary, A., Jha, R.K., Shreevastava, A.K. and Kumar, Y., 2017. Evaluation of the Soil Conservation Service curve number methodology using data from agricultural plots. Hydrogeology Journal, 25(1), pp.151-167.
15
16- Michel, C., Andréassian, V. and Perrin, C., 2005. Soil conservation service curve number method: How to mend a wrong soil moisture accounting procedure?. Water Resources Research, 41(2), pp.1-6.
16
17- Mishra, S.K. and Singh, V.P., 1999. Another look at SCS-CN method. Journal of Hydrologic Engineering, 4(3), pp.257-264.
17
18- Mishra, S.K. and Singh, V.P., 2002. SCS-CN-based hydrologic simulation package. Mathematical Models in Small Watershed Hydrology and Applications, 2841, pp.391-464.
18
19- Mishra, S.K., Jain, M.K. and Singh, V.P., 2004. Evaluation of the SCS-CN-based model incorporating antecedent moisture. Water Resources Management, 18(6), pp.567-589.
19
20- Mishra, S.K., Sahu, R.K., Eldho, T.I. and Jain, M.K., 2006. An improved I a S relation incorporating antecedent moisture in SCS-CN methodology. Water Resources Management, 20(5), pp.643-660.
20
21- Mishra, S.K. and Singh, V.P., 2013. Soil conservation service curve number (SCS-CN) methodology (Vol. 42). Springer Science and Business Media.
21
22- Nardi, F., Annis, A. and Biscarini, C., 2018. On the impact of urbanization on flood hydrology of small ungauged basins: the case study of the Tiber river tributary network within the city of Rome. Journal of Flood Risk Management, 11, pp.S594-S603.
22
23- Nash, J. E. and Sutcliffe, J. V., 1970. River flow forecasting through conceptual models.part I- A discussion of principles. Journal of Hydrology, 10(3), pp. 282-290.
23
24- Sahu, R.K., Mishra, S.K., Eldho, T.I. and Jain, M.K., 2007. An advanced soil moisture accounting procedure for SCS curve number method. Hydrological Processes, 21(21), pp.2872-2881.
24
25- Sahu, R.K., Mishra, S.K. and Eldho, T.I., 2010. Comparative evaluation of SCS-CN-inspired models in applications to classified datasets. Agricultural Water Management, 97(5), pp.749-756.
25
26- Sahu, R.K., Mishra, S.K. and Eldho, T.I., 2012. Performance evaluation of modified versions of SCS curve number method for two watersheds of Maharashtra, India. ISH Journal of Hydraulic Engineering, 18(1), pp.27-36.
26
27- Sharifi, A., Salarijazi, M., Ghorbani, Kh., 2018. Event-Oriented Runoff Estimation in Mountainous Basin by GSSHA Physically- Distributed Model. Ecohydrology, 4(4), pp.1215-1225.
27
28- Shumei, Z. and Tingwu, L., 2011. Calibration of SCS-CN Initial Abstraction Ratio of a typical small watershed in the Loess Hilly-Gully region. China Agriculture Science.
28
29- Suresh Babu, P. and Mishra, S.K., 2011. Improved SCS-CN–inspired model. Journal of Hydrologic Engineering, 17(11), pp.1164-1172.
29
30- Tedela, N.H., McCutcheon, S.C., Rasmussen, T.C., Hawkins, R.H., Swank, W.T., Campbell, J.L., Adams, M.B., Jackson, C.R. and Tollner, E.W., 2011. Runoff curve numbers for 10 small forested watersheds in the mountains of the eastern United States. Journal of Hydrologic Engineering, 17(11), pp.1188-1198.
30