Irrigation Sciences and Engineering

Irrigation Sciences and Engineering

A Comparative Analysis of WinSRFR and SIRMOD Software for Simulating Surge and Alternate Furrow Irrigation Performance in Maize Fields

Document Type : Research Paper

Authors
Akbar Mehri 1
ز Soltani Mohammadi 2
Hamed Ebrahimian 3
Saeed Boroomand Nasab 4
1 PhD Student, Irrigation and Drainage Department, Faculty of Water and Environmental Engineering, Shahid Chamran University of Ahvaz.
2 Professor Irrigation and Drainage Department, Faculty of Water and Environmental Engineering, Shahid Chamran University of Ahvaz.Iran.
3 Department of Irrigation and Reclamation Engineering, College of Agriculture and Natural Resources, University of Tehran.
4 Professor Irrigation and Drainage Department, Faculty of Water and Environmental Engineering, Shahid Chamran University of Ahvaz, Iran.
10.22055/jise.2024.45967.2116
Abstract
In order to compare of WinSRFR and SIRMOD software in simulating furrow irrigation performance, a field experiment was carried out in the Jayedar Plain. Five different furrow irrigation methods including conventional furrow irrigation (CFI), surge irrigation with on/off cycle ratios of 1 and 0.5 (SFI1-1 and SFI1-2, respectively), fixed alternate irrigation (FFI) and variable alternate irrigation (AFI) were investigated. A total of 15 irrigation evaluations were performed at the initial, middle, and end of the growing season by measuring inflow rate, cutoff time, outflow rate, infiltration and advance time. The length and spacing of experimental furrows were 120 and 0.75 m and the inflow and cutoff times at the initial (3rd irrigation), middle (6th irrigation), and end (9th irrigation) were 0.28 L/s and 240 min, 0.42 L/s and 360 min, 0.35 L/s and 300 min, respectively. The WinSRFR 3.1 and SIRMOD software were calibrated, assessed, and compared using field measurements based on the zero-inertia model. WinSRFR and SIRMOD softwares demonstrated a strong correlation between the measured and simulated values of runoff, infiltration and advance time (coefficient of determination of (0.9984, 0.9976), (0.9908, 0.9932 ) and (0.9449, 0.9331), respectively. The relative error values of WinSRFR and SIRMOD Software in estimating runoff, infiltration and advance time were (2.96, 3.15), (3.03, 3.30), (2.09, 2.46) respectively. Both software overestimates the runoff (λ=1.0296 in WinSRFR and λ= 1.0315 in SIRMOD) and the advance time (λ=1.0209 in WinSRFR and λ= 1.0246 in SIRMOD). The WinSRFR software underestimates infiltration (λ=0.9697) but SIRMOD software overestimates infiltration (λ=1.0333). The results of this study show that AFI is a more suitable method for maize irrigation in the study area. The WinSRFR software has an advantage over the SIRMOD software in simulating furrow irrigation performance due to its higher ability and the use of a wide range of input parameters.
Keywords
furrow irrigation
performance assessment
runoff
infiltration
WinSRFR
SIRMOD
Subjects
  • Adamu, T., Ayana, M. and Aregay, G., 2022. Optimization of furrow irrigation decision variables: the case of wonji shoa sugar estate, Ethiopia. Discover Water. DOI:10.1007/s43832-022-00016-8.

 

  • Hamdi Ahmadabad, Y., Liaghat, A., Sohrabi, T., Rasoulzadeh, A. and Ebrahimian, H., 2020. Improving performance of furrow irrigation systems using simulation modelling in the Moghan plain of Iran. Irrigation and Drainage, 70(1), pp.131-149.DOI: 10.1002/ird.2534.

 

  • Akbar, G., Ahmad, M.M., Ghafoor, A., Khan, M. and Islam, Z., 2016. Irrigation efficiencies potential under surface irrigated farms in Pakistan. Journal of Engineering and Applied Sciences, 35(2), pp.15-24.

 

  • Alejo, L.A., and Espino, A.N., 2020. Evaluation of the SIRMOD model for optimum furrow irrigation performance. Agricultural Engineering International: CIGR Journal, 22(1): 30-39.

 

  • Allen, R.G., Preira, L.S., Raes, D. and Smith, M., 1998. Crop Evapotranspiration Guidelines for Computing Crop Water Requirement. FAO Irrigation and Drainage Paper, No. 56, Rome, Italy.

 

  • Anwar, A.A., Ahmad, W., Bhatti, M.T. and Ul Haq, Z., 2016. The potential of precision surface irrigation in the Indus Basin Irrigation System. Irrigation science, 34, pp.379-396.

 

  • Bautista, E., and Schlegel, J. L., 2019. WinSRFR 5.1 user manual. Maricopa, AZ: Arid Land Agricultural Research Center.

 

  • Booher, L. J., 1976. Surface irrigation. Food and Agriculture Organization of the United Nations, Rome, Italy.

 

  • Dialameh, B., Parsinejad, M., Ebrahimian, H. and Mokhtari, A., 2017. Field comparison of infiltration in conventional and alternate furrow irrigation under various initial and boundary conditions. Irrigation and Drainage, 67(2), pp.156-165. DOI: 1002/ird.2176.

 

  • Ebrahimian, H. and Liaghat, A., 2011. Field evaluation of various mathematical models for furrow and border irrigation systems. J. Soil Water Res. 6 (2), 91–101.

 

  • Ebrahimian, H. and Playán, E., 2014. Optimum management of furrow fertigation to maximize water and fertilizer efficiency and uniformity. Journal of Agricultural Science and Technology, 16(3): 591-607.

 

  • Ebrahimian, H., Ghaffari, P., Ghameshlou, Arezoo N. Hassan Tabatabaei, H. and Alizadeh Dizaj, A., 2020. Extensive comparison of various infiltration estimation methods for furrow irrigation under different field conditions. Agricultural Water Management 230 (2020) 105960. DOI: 10.1016/j.agwat.2019.105960.

 

  • Fu, Q., Hou, R., Li, T., Li, Y., Liu, D. and Li, M., 2019. A new infiltration model for simulating soil water movement in canal irrigation under laboratory conditions. Agric. Water Manag. 213, 433–444. DOI: 1016/j.agwat.2018.10.021.

 

  • Gillies, M. H. and Smith, R.J., 2015. SISCO: surface irrigation calibration and optimization. J. Irrig. Sci. 33 (5), 339–355.

 

15- Ismail, S., Thabet, A., El-Al, A. and Omara, A., 2021. Improving Irrigation Performance of Raised bed Wheat Using the Winsrfr Model Under Egyptian Conditions. Misr Journal of Agricultural Engineering, 38(4), pp.309-332.DOI: 10.21608/mjae.2021.87350.1035.

 

16- Kamali, P., Ebrahimian, H. and Parsinejad, M., 2018. Estimation of Manning roughness coefficient for vegetated furrows. Irrigation science, 36, pp.339-348.

 

17- Kifle, M., Gebremicael, T.G., Girmay, A. and Gebremedihin, T., 2017. Effect of surge flow and alternate irrigation on the irrigation efficiency and water productivity of onion in the semi-arid areas of North Ethiopia. Agricultural water management, 187, pp.69-76. DOI: 10.1016/j.agwat.2017.03.018.

 

18- Lalehzari, R.E.Z.A., Ansari Samani, F.A.R.I.D.E. and Boroomand‐nasab, S.A.E.E.D., 2015. Analysis of evaluation indicators for furrow irrigation using opportunity time. Irrigation and drainage, 64(1), pp.85-92. DOI: 10.1002/ird.1877.

 

19- Mahdizadeh Khasraghi, M., Gholami Sefidkouhi, M.A. and Valipour, M., 2015. Simulation of open-and closed-end border irrigation systems using SIRMOD. Archives of Agronomy and Soil Science, 61(7), pp.929-941.DOI: 10.1080/03650340.2014.981163.

 

 20- Mailapalli, D.R., Raghuwanshi, N.S., Singh, R., Schmitz, G.H. and Lennartz, F., 2008. Spatial and temporal variation of Manning’s roughness coefficient in furrow irrigation. Journal of irrigation and drainage engineering, 134(2), pp.185-192. DOI: 10.1061/(ASCE)0733-9437(2008)134:2(185).

 

21- Mazarei, R., Mohammadi, A.S., Naseri, A.A., Ebrahimian, H. and Izadpanah, Z., 2020. Optimization of furrow irrigation performance of sugarcane fields based on inflow and geometric parameters using WinSRFR in Southwest of Iran. Agricultural Water Management, 228, p.105899. DOI: 10.1016/j.agwat.2019.105899.

 

22- Mehanna, H.M., Abdelhamid, M.T., Sabreen, K. and El-Noemani, A.-S., 2015. SIRMOD Model as a anagement Tool for Basin Irrigation Method in Calcareous Soil. International Journal of ChemTech Research, 10(8), 39–44.

 

23- Mehri, A., Mohammadi, A.S., Ebrahimian, H. and Boroomandnasab, S., 2023. Evaluation and optimization of surge and alternate furrow irrigation performance in maize fields using the WinSRFR software. Agricultural Water Management, 276, p.108052.DOI: 10.1016/j.agwat.2022.108052.

24- Nie, W.B., Li, Y.B., Zhang, F. and Ma, X.Y., 2019. Optimal discharge for closed-end border irrigation under soil infiltration variability. Agricultural Water Management, 221, pp.58-65. DOI: 10.1016/j.agwat.2019.04.030.

 

25- Pereira, L. S. and Goncalves, J. M., 2018. Surface Irrigation. Oxford University Press.

 

26- Radmanesh, M., Ahmadi, S.H. and Sepaskhah, A.R., 2023. Measurement and simulation of irrigation performance in continuous and surge furrow irrigation using WinSRFR and SIRMOD models. Scientific Reports, 13(1), p.5768.DOI:10.1038/s41598-023-32842-8.

 

27- Salahou, M.K., Jiao, X. and Lü, H., 2018. Border irrigation performance with distance-based cut-off. Agricultural water management, 201, pp.27-37. DOI: 10.1016/j.agwat.2018.01.014.

 

28- Sayari, S., Rahimpour, M. and Zounemat-Kermani, M., 2017. Numerical modeling based on a finite element method for simulation of flow in furrow irrigation. Paddy and Water Environment, 15, pp.879-887.

 

29- Smith, R.J., Uddin, M.J. and Gillies, M.H., 2018. Estimating irrigation duration for high performance furrow irrigation on cracking clay soils. Agricultural Water Management, 206, pp.78-85. DOI: 10.1016/j.agwat.2018.03.014.

 

30- Valipour, M. and Montazar, A. A., 2012. An evaluation of SWDC and Win-SRFR models to optimize of infiltration parameters in Furrow irrigation. American Journal of Scientific Research, 69: 128- 142.

 

31- Walker, W.R. and Humpherys, A.S., 1983. Kinematic-wave furrow irrigation model. Journal of Irrigation and Drainage Engineering, 109(4), pp.377-392. DOI: 10.1061/(ASCE)0733-9437(1983)109:4(377.

 

32- Walker, W. R., 2005. SIRMOD III-Surface Irrigation Simulation, Evaluation and Design: Guide and Technical Documentation (Dept.of Biological and Irrigation Engineering, Utah St. Univ., USA).

 

33- Wu, D., Xue, J., Bo, X., Meng, W., Wu, Y. and Du, T., 2017. Simulation of irrigation uniformity and optimization of irrigation technical parameters based on the SIRMOD model under alternate furrow irrigation. Irrigation and Drainage, 66(4), pp.478-491. DOI: 10.1002/ird.2118.

 

34- Xu, J., Cai, H., Saddique, Q., Wang, X., Li, L., Ma, C. and Lu, Y., 2019. Evaluation and optimization of border irrigation in different irrigation seasons based on temporal variation of infiltration and roughness. Agricultural Water Management, 214, pp.64-77. DOI: 10.1016/j.agwat.2019.01.003.

 

35- Yadeta, B., Ayana, M., Yitayew, M. and Hordofa, T., 2022. Performance evaluation of furrow irrigation water management practice under Wonji Shoa Sugar Estate condition, in Central Ethiopia. Journal of Engineering and Applied Science. (2022) 69:21. DOI:10.1186/s44147-022-00071-x.

Irrigation Sciences and Engineering
Volume 47, Issue 4
Winter 2025
Pages 1-15

  • Receive Date 28 January 2024
  • Revise Date 16 June 2024
  • Accept Date 19 August 2024
  • Publish Date 20 January 2025