Investigating the management of distribution and allocation of irrigation water in two optimal and traditional modes,Case Study: Irrigation and drainage networks of Marun

Document Type : Research Paper

Authors

1 Graduated with a PhD in irrigation and drainage,Department of Water Sciences and Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran. (

2 Graduated with a PhD in hydraulic structures, Department of Water Sciences and Engineering, Science and Research Branch, Islamic Azad University, Ahvaz, Iran.

3 Graduated with a Master of agricultural economics,Department of Water Sciences and Engineering, Science and Research Branch, Islamic Azad University, Ahvaz, Iran.

Abstract

Moghaddasi et al. (2010a,b) did a research on optimization of water allocation and distribution in irrigation network of Zayandeh Rud catchment by the use of non-linear methods of collective intelligence and genetic algorithm. In the above mentioned study, optimization has done by 4 sub-models of water distribution optimization during crop growth periods, water allocation optimization among network crops, water distribution optimization among different networks, and annual optimization of agricultural water proportion of Zayandeh Rud. Comparing the results, it can be assumed that nonlinear programming )NLP) and consequently particle swarm optimization )PSO) methods have priority to the others.in addition the study confirmed that the optimization method associates 36% more income. Management of irrigation water resources in the agricultural sector, as the most important renewable but limited resource, has been the most important challenge of the current century and has resulted in major concerns around the world. The aim of this study was to allocation irrigation water and cropping area under uncertainty with emphasis on water use efficiency (WUE) and relative irrigation supply (RIS) indices and the results were compared to the actual management in  Marun Irrigation Network.

Keywords

Main Subjects

References

1- Akbari .M and Heydari .N., 2015. Estimation of consumption demand and water consumption efficiency of Zayandeh Rood basin using satellite information. In  Iran Water Resources Management Conference. Isfahan University of Technology, Isfahan.Iran. (In Persian)
 
2- Allen R. 1999-2000. Evapotranspiration of grass and alfalfa software. Idaho university. Idaho, USA.
 
3- Amanat Behbahani ,l., Moghaddasi ,M., Ebrahimi ,H and Babazadeh ,H ., 2020. Optimal water allocation and distribution management in irrigation networks under uncertainty by multi-stage stochastic case study: Irrigation and drainage networks of Marun. Irrig and  Drain . 69,pp. 531-545.  https://doi.org/10.1002/ird. 2476.
 
4- Dai, Z.Y. and Li, Y.P., 2013. A multistage irrigation water allocation model for agricultural land-use planning under uncertainty. Agricultural Water Management, 129, pp. 69-79. https://doi.org/10.1016/j.agwat.2013.07.013
 
5- Fatemi, S.M., Mohammed, T.A. and Soom, M.A.B.M., 2011. Proposed model for efficient water management at Razmgan irrigation project, a semi-arid region in Khorasan, Iran. African Journal of Agricultural Research, 6(13), pp.3203-3216. Doi: 10.5897/AJAR10.1041
 
6- Hardaker JB, Huine BM, Anderson R, Line G., 2015. Coping with risk in agriculture, 3rd edition; Applied Decision Analysis. CABI publishing. Wallingford, United Kingdom .
 
7- Karamouz M, Szidarovszky F, Zahraie B., 2003.Water resources systems analysis. Lewis Publishers, CRC Press, pp.1-22.https://dx.doi.org/10.1201/b11874-6.
 
8- McKee, T.B., Doesken, N.J. and Kleist, J., 1993, January. The relationship of drought frequency and duration to time scales. In Proceedings of the 8th Conference on Applied Climatology 17(22), pp. 179-183.
 
10- Moghaddasi ,M., Morid ,S., Araghinejad ,S and Agha Alikhni ,M., 2010a. Assessment of irrigation water allocation based on optimization and equitable water reduction approaches to reduced agricultural drought losses; the 1999 drought in the Zayandehrud Irrigation System (IRAN). Irrigation and Drainage, 59,pp. 377-387.http://dx.doi.org/10.1002/ird.499.
 
11- Moghaddasi ,M., Araghnejad ,S and Morid ,S., 2010b. Long-term operation of irrigation dams considering variable demands: case study of Zayandeh-rud reservoir. Journal of Irrigation and Drainage Engineering, 136(5),pp. 309-316. https://doi.org/10.1061/(ASCE)IR.1943-4774.0000128.
 
12- Molden, D.J., Sakthivadivel, R., Perry, C.J. and De Fraiture, C., 1998. Indicators for comparing performance of irrigated agricultural systems (Vol. 20). Iwmi.
 
13- Mo,L.,Ping,G and Vijay,P., 2016. An efficient irrigation water allocation model under uncertainty. Agricultural systems,144, pp.46-57.
 
14- Morid ,S., Moghddasi ,M., Arshad ,S and Omid ,M., 2004. Application of drought indices package. Water Resources Management.
 
16- Ortega Alvarez , J.F. J. A., de Juan Valero, J.A., Tarjuelo Martın-Benito, J.A and Lo pezMata, E ., 2004. MOPECO: an economic optimization model for irrigation water management, Irrigation Science, 23, pp. 61–75 . https://doi.org/10.1007/s00271-004-0094-x.
 
15- Ren, C., Yang, J. and Zhang, H., 2019. An inexact fractional programming model for irrigation water resources optimal allocation under multiple uncertainties. Plos one, 14(6), p.e0217783. https://doi.org/10.1371/journal.pone.0217783
 
16- Zehao,Y and Li. M., 2018.A stochastic optimization model for agricultural irrigation water allocation based on the field water cycle. water, 1031, pp. 1-19.
Irrigation Sciences and Engineering
Volume 47, Issue 3
October 2024
Pages 37-56

Files

History

  • Receive Date: 15 May 2023
  • Revise Date: 09 December 2023
  • Accept Date: 11 December 2023
  • Publish Date: 22 October 2024

Share

How to cite

Statistics