基于碳足迹的区域水资源优化配置模型

为解决城市发展和生态低碳之间的矛盾,将碳足迹引入水资源配置,将缺水率和供用水过程碳的净排量最小纳入总体目标函数中,设置水源供水量、碳排放量、引提水量、生态需水量、最小供水保证率和非负约束6个约束条件,构建基于碳足迹的区域水资源优化配置模型,采用基于理想点和遗传算法的多目标规划方法进行求解,并以徐州市丰县为例,进行水资源供需平衡分析测算,结果表明,2030年丰县预计可减少缺水率6.2%,可实现碳减排5.8%。

Optimal regional water resources allocation model based on carbon footprint

In order to resolve the contradiction between urban development and ecological low-carbon, carbon footprint is introduced into water resource allocation. We include water shortage rate and net carbon emission during water supply and water use processes in the overall objective function. Six constraints of water supply, carbon emission, water extraction, ecological water demand, minimum water supply guarantee rate and non-negative constraints are set to construct optimal regional water resources allocation model based on carbon footprint. The model is solved by the multi-objective programming method based on ideal point and genetic algorithm. Taking Feng County of Xuzhou as an example, the analysis and calculation of water supply and demand balance are carried out. The results show that Feng County is expected to reduce the water shortage rate by 6.2% and carbon emission by 5.8% in 2030.