Water and Irrigation Management

Water and Irrigation Management

Increasing the productivity of agricultural water under the optimization scenario of water resource allocation using the algorithm (NSGA-II)

Document Type : Research Paper

Authors
fatemeh zahra sahabifard
Ali Shahnazari
sonia sadeghi
Department of Water Engineering, Faculty of Agricultural Engineering, University of Agricultural Sciences and Natural Resources, Sari, Iran.
10.22059/jwim.2024.369097.1122
Abstract
The present research deals with increasing agricultural water productivity in Tajen basin of Mazandaran province by using optimal allocation. In the current research, to find the most optimal allocation of water from the available water sources in the study area, the optimization method with genetic algorithm with non-superior ranking was used and SWMM model was used to estimate the runoff resulting from precipitation. Since the model of optimal allocation of water resources is multi-objective and has more than one optimal response, none of which is superior to the other, and the appropriate response is selected based on the management conditions, three responses were selected from the optimal responses in the form of three scenarios to be compared with the current conditions of water allocation. The results showed that the optimization of water allocation caused an increase in agricultural water productivity by 76 percent for citrus fruits, 47 percent for rice, 60 percent for oilseeds, 59 percent for corn, 65percent for wheat, 77 percent for vegetables and 76 percent for cotton for the third scenario. which is a desert scenario. Also, the economic profit has increased by 33 percent on average. According to the results, wheat products, vegetables and oilseeds after rice and citrus have the highest production and yield compared to other products in the study area. The optimal cultivated area for these products is equal to 3200, 2700, 5523 hectares, respectively. By optimizing the allocation of water resources while saving significant water consumption, the production product per water consumption as well as the economic profit can be increased depending on the chosen solution.
Keywords
Cultivated area
Economic benefit
Water use efficiency
Performance
Subjects
  1. Alami, M.T., Aghabalaei, B., Ahmadi, M.H., & Farzin, S. (2013). Optimal allocation of water resources systems using dynamic systems. Journal of Water Resources Engineering, 7 (23), 110-99. (In Persian).
  2. Badieizadeh, S., Bahremand, A., Dehghani, A., & Nora, N. (2014). Urban flood management through surface runoff simulation using SWMM model in Gorgan city, Golestan province. Journal of Water and Soil Protection Research, 22(4), 155-170. (In Persian).
  3. Ehsani, M., & Khaledi, H. (2012). Agricultural Water Efficiency. Iran: National Irrigation and Drainage Committee Press. (In Persian).
  4. Fan, Y., Wang, C., & Nan, Z. (2014). Comparative evaluation of crop water use efficiency, economic analysis and net household profit simulation in arid Northwest China. Agricultural Water Management, 146, 335-345.
  5. Kaki, S., Zia Tabar Ahmadi, M., & Karimi, V. (2015). comparison of water consumption efficiency in classic semi-mobile irrigation and surface irrigation for wheat crop (a case study of Bukan city). In: 3rd National Congress of Biology and Natural Sciences, the center of sustainable development solutions, Mehr Institute of Higher Education Arvand,Tehran, Iran. (In Persian).
  6. Karamoz, M., Ahmadi, A., & Falahi, M. (2015). System Engineering. Iran: Amirkabir University of Technology press. (In Persian).
  7. Karamoz, M., & Karachian, R. (2012). Quality planning and management of water resources systems. Iran: Amirkabir University of Technology press. (In Persian).
  8. Karimi, M., & Jalini, M. (2016). Investigating agricultural productivity indicators in important crops, case study: Mashhad plain. Water and Sustainable Development Journal, 133-138. (In Persian).
  9. Kashefinejad, P., Houshmand, A., & Broumand Nesab, S. (2017). Optimal allocation of water resources using genetic algorithm with non-dominated ranking (case study: Hamidiyeh irrigation network). Journal of Water and Soil Protection Research, 253-239. (In Persian).
  10. Khashei Seyuki A., Hahraman B., & Kochzadeh, M. (2013). The application of agricultural water allocation and management with optimization technique (PSO, case study: Neyshabur Plain), Water and Soil Journal, 27(2), 292-303. (In Persian).
  11. Khanjari Sadati, S., Speelman, S., Sabouhi, M., Gitizadeh, M., & Ghahraman, B. (2014). Optimal Irrigation Water Allocation Using a Genetic Algorithm under Various Weather Conditions. Water Journal from MDPI, 6, 3068-3084.
  12. Kiafar, H. (2010). Optimal allocation of water during the cropping season using genetic algorithm. Master's thesis, Faculty of Water Sciences, Tabriz University, Tabriz, 128 Pages. (In Persian).
  13. Lalehzari, R., Broumand Nesab, S., Moazd, H., & Haghighi, (2014). Optimum allocation of surface and underground water resources to Baghmolek plain cultivation pattern with multi-objective planning algorithm based on non-dominated ranking. Doctoral dissertation, Shahid Chamran University of Ahvaz, Ahvaz, Iran. 226 pages. (In Persian).
  14. Ministry of Energy. (1998). Water allocation system and action plan: Iran Water Resources Management Company publication. Vice President of Water and Wastewater Affairs, Water and Wastewater Planning Office. (In Persian).
  15. Ministry of Energy. (2018). Water allocation system: publication of Iran Water Resources Management Company. Vice President of Water and Water Resources, Water and Water Resources Planning Office. (In Persian).
  16. Ali, M.H., & Talukder, M.S.U. (2008). Increasing water productivity in crop production-A synthesis. Agricultural Water Management, Elsevier,95(11), 1201-1213, November.
  17. Mikovit C. Rauch, W., & Kleidorfer, M. (2014). Dynamics in urban development, population growth and their influences on urban water infrastructure. Procedia Engineering, 70, 1147-1156.
  18. Park, S. Y., Lee, K. W., Park, I. H., & Ha, S. R. (2008). Effect of the aggregation level of surface runoff fields and sewer network foe a SWMM simulation. Desalination, 226(1-3), 328-337.
  19. Sadeghi, S. (1400). Optimizing the surface water disposal network in terms of risk analysis and damage estimation approach. Doctoral dissertation, Tarbiat Modares University, Tehran, 166 pages. (In Persian).
  20. Samadi Alinia, N. (2017). Planning optimal water allocation at the watershed level using the combination of MODSIM models and genetic algorithm. Master's thesis, Faculty of Civil and Environmental Engineering, Amir Kabir University of Technology, Tehran, Iran. 98 pages. (In Persian).
  21. Scheierling, S. M., Treguer, D. O., Booker, J. F., & Decker, E. (2014). How to assess agricultural water productivity? Looking for water in the agricultural productivity and efficiency literature. Policy Research Working Paper Series 6982, The World Bank.
  22. Schluter, M., Savitsky, D.C., Mckinney, D., & Lieth, H. (2005). Optimizing long-term water allocation in the Amudarya River Delta: A water management Model for ecological impact assessment. Envir. Model. and Software, 20, 529-545.
  23. Selvalingam, S., Liong, S.Y., & Manoharan, P.C. (1987). Use of RORB and SWMM models to an urban catchment in Singapore. Advances in water Resources, 10(2), 78-86.
  24. Speed, R., Yuanyuan, L., Le Quesne, T., Pegram, G., & Zhiwei, Z. (2013). Basin Water Allocation Planning: Principles, Procedures and Approaches for Basin Allocation Planning. Asian Development Bank, GIWP, UNESCO, and WWF-UK.
  25. Totonchi, F., Kiai, A., & Maknoun, R. (2016). Investigating the history of water policy in Iran. International Conference on Civil Engineering, Architecture and Urban Planning of Contemporary Iran. Tehran, (In Persian).
  26. Vorosmarty, C. J., Green, P., Salisbury, J., & Lammers, R. B. (2000). Global water resources: Vulnerability from climate change and population growth. Science‚ 289(5477), 284-288.
Water and Irrigation Management
Volume 14, Issue 2
Autumn 2024
Pages 405-419