Planning the Optimal Allocation of Water Resources Using EA-MODSIM Simulation-Optimization Model

Helmi, Mahtab; Khashei-Siuki, Abbas

doi:10.22077/jwhr.2023.5803.1074

Document Type : Research Paper

Authors

Mahtab Helmi ¹
Abbas Khashei-Siuki ²

¹ Ph.D Candidate water resources management University of Birjand

² Professor of Water Engineering Dpt.

https://doi.org/10.22077/jwhr.2023.5803.1074

Abstract

Optimal exploitation of dams’ reservoirs and provision of dam downstream water demand is of great importance. The use of water resource planning models has been recently very effective. For this purpose, this paper has analyzed and investigated the optimal utilization of Galmandareh River basin water resources using a combination of MODSIM as a simulation model and election algorithm as an optimization model and the development of the EA-MODSIM model. The objective function of the problem was considered as minimizing the sum of squared deviations between the required amount and the amount released from the reservoir. Efficiency, reliability, and vulnerability in reservoir operation were also used to evaluate the proposed model. Results indicated the acceptable performance of the simulation-optimization approach used in the research to solve the problem of planning the optimal allocation of water resources at the basin. Studies showed that in the simulation-optimization approach, the amount of water demand in the basin increased by about 32% compared to the simulation model. The results of the reliability index for industrial, agricultural, and environmental demands at the dam downstream were 86, 87, and 96%, respectively. These results indicated the importance of adopting policies for the optimal exploitation of system reservoirs to increase the water supply and reduce the water resource loss at the level of the basin.

Keywords

Main Subjects

Optimum use of water

References

Arya Azar, N., Kayhomayoon, Z., Ghordoyee Milan, S., Zarif Sanayei, H., Berndtsson, R., & Nematollahi, Z. (2022). A hybrid approach based on simulation, optimization, and estimation of conjunctive use of surface water and groundwater resources. Environmental Science and Pollution Research, 1-17.

Che, D., & Mays, L. W. (2017). Application of an optimization/simulation model for real-time flood-control operation of river-reservoirs systems. Water resources management, 31(7), 2285-2297.

Degefu, D. M., He, W., & Yuan, L. (2017). Monotonic bargaining solution for allocating critically scarce transboundary water. Water Resources Management, 31(9), 2627-2644.

Emami, H., & Derakhshan, F. (2015). Election algorithm: A new socio-politically inspired strategy. AI Communications, 28(3), 591-603.

Fadaeizadeh, K., & Shourian, M. (2019). Determination of the optimal river basin-wide agricultural water demand quantities meeting satisfactory reliability levels. Water Resources Management, 33(8), 2665-2676.

Hashimoto, T., Stedinger, J. R., & Loucks, D. P. (1982). Reliability, resiliency, and vulnerability criteria for water resource system performance evaluation. Water resources research, 18(1), 14-20.

Labadie, J. W. (2006). MODSIM: decision support system for integrated river basin management.

Li, C. Y., & Zhang, L. (2015). An inexact two-stage allocation model for water resources management under uncertainty. Water Resources Management, 29(6), 1823-1841.

Madani, K., Zarezadeh, M., & Morid, S. (2014). A new framework for resolving conflicts over transboundary rivers using bankruptcy methods. Hydrology and Earth System Sciences, 18(8), 3055-3068.

Nicklow, J., Reed, P., Savic, D., Dessalegne, T., Harrell, L., Chan-Hilton, A., ... & ASCE Task Committee on Evolutionary Computation in Environmental and Water Resources Engineering. (2010). State of the art for genetic algorithms and beyond in water resources planning and management. Journal of Water Resources Planning and Management, 136(4), 412-432.

Nikoo, M. R., Izady, A., Salman, R., Al-Maktoumi, A., Chen, M., Al-Ismaili, A., & Al-Busaidi, H. (2022). A coupled water allocation simulation–optimization model to advance agricultural water management. Arabian Journal of Geosciences, 15(5), 1-15.

Shenava, N., & Shourian, M. (2018). Optimal reservoir operation with water supply enhancement and flood mitigation objectives using an optimization-simulation approach. Water resources management, 32(13), 4393-4407.

Shourian, M., Mousavi, S. J., & Tahershamsi, A. (2008). Basin-wide water resources planning by integrating PSO algorithm and MODSIM. Water resources management, 22(10), 1347-1366.

Zhou, Y., Guo, S., Xu, C. Y., Liu, D., Chen, L., & Ye, Y. (2015). Integrated optimal allocation model for complex adaptive system of water resources management (I): Methodologies. Journal of Hydrology, 531, 964-976.

Water Harvesting Research

Planning the Optimal Allocation of Water Resources Using EA-MODSIM Simulation-Optimization Model

References

References

Volume 5, Issue 1 - Serial Number 7
January 2022
Pages 121-130

Planning the Optimal Allocation of Water Resources Using EA-MODSIM Simulation-Optimization Model

References

References

Volume 5, Issue 1 - Serial Number 7January 2022Pages 121-130

Volume 5, Issue 1 - Serial Number 7
January 2022
Pages 121-130