Agricultural water allocation with climate change based on gray wolf optimization in a semi-arid region of China.

ABSTRACT:

Background

We quantified and evaluated the allocation of soil and water resources in the Aksu River Basin to measure the consequences of climate change on an agricultural irrigation system.

Methods

We first simulated future climate scenarios in the Aksu River Basin by using a statistical downscaling model (SDSM). We then formulated the optimal allocation scheme of agricultural water as a multiobjective optimization problem and obtained the Pareto optimal solution using the multi-objective grey wolf optimizer (MOGWO). Finally, optimal allocations of water and land resources in the basin at different times were obtained using an analytic hierarchy process (AHP).

Results

(1) The SDSM is able to simulate future climate change scenarios in the Aksu River Basin. Evapotransp

SUBMITTER: Wang Z 

PROVIDER: S-EPMC9817936 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature