Refined Allocation of Water Resources in Pishihang Irrigation Area by Joint Utilization of Multiple Water Sources

Abstract

Refined allocation of water resources is an important means of sustainable water resources utilization. Based on General Water Allocation and Simulation (GWAS), this study uses a Geographic Information System (GIS) to construct spatial topological relationships. A fairness optimal minimum was set as the objective function. Total quantity control, water supply potential, and quality-divided water supply were set as constraint conditions. Considering the dynamic mutual-feedback relationship between the middle-lower-reaches reservoir and the upstream reservoir, this study refines the allocation of water resources combined with the characteristics of “long cane knots melons” in the Pishihang irrigation area. Results showed that at 50%, 80%, and 90% frequencies in the base year, 2025, and 2035, respectively, the water deficient ratio is 0. For continuous drought years at 90% frequency, all water users are faced with different degrees of water shortage. In water source structures, water diversion in the irrigated area is the largest, followed by local surface water; reclaimed water and shallow groundwater are used as supplements. In the case of consecutive drought years, the water shortage degree can be reduced through rational development of local water and additional external water transfer. The model has thus been well applied. This study provides a more accurate method for optimizing water resources allocation.

Optimal Allocation of Water Resources in Ordos City Based on the General Water Allocation and Simulation Model

“…(1) The fairness optimal objective function aims to express the relative differences in water shortage rates among various banners in the region within the year [29]. A smaller value of the objective function indicates a smaller degree of difference and a fairer allocation across each banner.…”

“…(3) Total water consumption constraints [29]: The total water supply from all sources should not exceed the regional total water consumption containment red line, that is:…”

Optimal Allocation of Water Resources in Canal Systems Based on the Improved Grey Wolf Algorithm

“…The problem of crop yield reduction caused by the difference between the timing of water distribution in the lower channels during the rotation period and the timing of water distribution for the actual demand has been solved. However, with the deepening of the optimization problem and the complexity of the calculations required, research on the optimal allocation of water in canal systems has also begun to change from "single-objective" to "multi-objective", from "two-level channel" to "multilevel channel", from the ideal water distribution state of "equal flow in the lower channel" to "unequal flow in the lower channel", from only considering "static water transmission loss" to considering "dynamic water transmission loss" [9], from "no consideration of water quality conditions" to "treatment of water quality for irrigation" [10,11], and from only considering "single water source" to "multisource" joint scheduling [12,13].…”