Elaboration of the optimal allocation model of underground water resources using social participation Water users (Case study of Hormozgan Kahoristan Plain)

Document Type : Research Paper

Authors

1 Department of Environmental Engineering, University of Tehran International Campus, Kish, Iran.

2 Department of Environmental Engineering, Environment College, University of Tehran, Tehran, Iran.

10.22059/jwim.2024.371132.1137

Abstract

Groundwater resource management consists of two practical processes of resource allocation and resource planning. The allocation of underground water resources, the area under water consumption, water stress and the quality of water resources affect the management of the catchment area. In this study, according to the methodology, the allocation of water resources and social participation in the area of Kohoristan is done using various criteria and indicators. After determining the importance of each of the indicators used in modeling and applying the weights to the relevant indicators, a water resources allocation map has been prepared using the AHP method. The investigation of the area shows that about 17% of the area, taking into account various factors in this area and the factors affected by the factors and parameters identified in the AHP modeling, is in the upper class, which is at the risk of pollution and quality reduction due to being at the end of the area. are water sources. In this region, 66% of the basin has less or very less water resource allocation, which requires planning to change the pattern of cultivation and proper exploitation of water resources in this watershed in the south of the country. Also, the results show that according to the cultivation pattern of the region, only 12% of this pattern have access to high water allocation resources regardless of the quality of water resources, and the rest of them have low and very low water allocation resources, which requires a fundamental change in the way of harvesting, the use of water resources and social management of this critical resource in the area of Kohoristan.

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References

  1. Ahmadi, A., Mehrparvar, M., & Moridi, A. (2014) Choosing the best scenario for the allocation of water resources in the Karun Basin using decision-making methods. Journal of Water Research, 9. (In Persian)
  2. Alizadeh, M., Niko, M., Rakhshandro, G., & Bidokhty, T. (2014). The application of social selection rules (SCR) in the management and optimal efficiency of water resources. Journal of Water Resources Engineering. (In Persian)
  3. Bahman Puri, S., & Soltani, G. (2017). Application of fuzzy hierarchical analysis method in the integrated management of water resources in Niriz city. Agricultural Economics Research, 10(4), 105. (In Persian)
  4. Berbel, J., Viaggi, D., & Manos, B. (2009). Estimating demand for irrigation water in European Mediterranean countries through MCDM models. Water Policy, 11(3), 348-361.
  5. Bournaski, E. G., Kirilov, L. M., Iliev, R. S., & Diadovski, I. (2006). Decision support for water quality management. In of the Int. Conference on Computer Systems and Technologies–CompSysTech (Vol. 6).
  6. Hadjibiros, K., Katsiri, A., Andreadakis, A., Koutsoyiannis, D., Stamou, A., Christofides, A., ... & Sargentis, F.G. (2005). Multi-criteria reservoir water management. In Proceedings of the International Conference on Environmental Science and Technology (Vol. 1, pp. 535-543).
  7. Hyde, K. M., Maier, H. R., & Colby, C. B. (2005). A distance-based uncertainty analysis approach to multi-criteria decision analysis for water resource decision making. Journal of environmental management, 77(4), 278-290.
  8. Karamouz, M., Zahraie, B., & Kerachian, R. (2003). Development of a master plan for water pollution control using MCDM techniques: a case study. Water international, 28(4), 478-490.
  9. Mei, X., Rosso, R., Huang, G. L., & Nie, G. S. (1989). Application of analytical hierarchy process to water resources policy and management in Beijing, China. Closing the Gap between Theory and Practice, 73-83.
  10. Miyanabadi, H., & Afshar, A. (2007). The application of fuzzy group decision making in groundwater resource management, the second Iran Water Resources Management Conference, Isfahan University of Technology, Iran Water Resources Engineering Science Association. (In Persian)
  11. Mulan, L., & Yacobi, C. (2017). Investigating factors affecting farmers' participation in water resources management in Miandoab city. Journal of Water Resources Engineering, (11th), Azad University, Maroodasht Branch.
  12. Okhravi, A., & Raeiyyat, M. (2018). Identifying effective factors on attracting people's participation in optimal water consumption with social marketing approach and choosing the best scenario, social capital management, University of Tehran. (In Persian).
  13. Purushottam, S.D., & Ravindra, K.L. (2015). Sewage Water Quality Index of Sewage Treatment Plant Using Fuzzy MCDM Approach. Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing.
  14. Sardar Shahraki, A., Shahraki, J., & Hashemi Monfared, S. A. (2016). Investigation of Water Resources Management Approaches of Sistan Region Using Fuzzy Analytic Hierarchy Process (FAHP). Public Management Researches, 9(31), 73-98. (in Persian)
  15. Αnagnostopoulos, Κ., Petalas, C., & Pisinaras, V. (2005). Water resources planning using the AHP and PROMETHEE multicriteria methods: the case of Nestos River-Greece. In The 7th balkan conference on operational research, Constanta, Romania, pp. 1-10. 2005.
Water and Irrigation Management
Volume 14, Issue 4
February 2025
Pages 789-809

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