Joint optimal allocation of regional water and land resources in response to ecological-economic-social demands

Abstract

[Objective] Joint optimal allocation of water and land resources is considered an effective approach to mitigating the mismatch between the spatial and temporal distribution patterns of water and land resources and regional ecological, social, and economic development, thereby promoting social stability and sustainable development.[Methods] Based on the theory of dualistic water cycle, soil water and reclaimed water are incorporated into the supply side of water resources. The interaction between water-soil-carbon and other elements within the eco-environment-economic and social system are comprehensively considered. A multi-objective optimal allocation framework of regional water and land resources responding to eco-economic-social demands is constructed. The iterative solution of the framework is implemented by a double-layer nested algorithm coupling nonlinear multi-objective programming(NLMOP) and successive approximation(SA) method, leading to the determination of a joint allocation scheme for water and land resources.[Results] The result of the joint optimization allocation of water and land resources in Luoyang city demonstrate that the land use pattern and water resource supply of each county have been collaboratively optimized. The total amount of water resources in the region has increased by 29.23 million m³, net carbon emissions have decreased by 0.381 4%(equivalent to 90,698 tons of standard coal), and GDP has remained stable. The difference in water supply and demand ratio among administrative units has been minimized.[Conclusion] The results provide strong scientific support for improving the comprehensive utilization efficiency of regional water and land resources and ensuring the sustainable development of regional eco-economy-society.

Keywords

joint allocation of water and land resources / eco-economic-social demands / dualistic water cycle / interactive relationship / two-layer nested algorithm / influencing factors / water resources