Study on the combined allocation of multiple water sources with multiple objectives in Xiamen City
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摘要: 通过遗传算法和权重系数法,兼顾地表水、地下水等多种水源以及供水能力、供需关系等约束条件,构建厦门市多水源联合配置模型,研究经济、社会、生态等多种目标条件下,各行政区多种水源的联合配置优化方案。结果表明:在特枯水年只有优先考虑社会效益方案才能达到较高的生活用水保证率;常规开采地下水条件下,岛内思明和湖里两区以配置九龙江的外调水为主,岛外其他四区以配置本地地表水和地下水为主;开采地下水储存资源作为应急供水水源可大幅提升供水安全保障程度,但也改变了各区的供水结构,地下水供给占比大幅提升。研究表明,可以利用遗传算法面向不同目标对多种水源进行合理配置,地下水能够在保障供水安全中发挥更大作用。Abstract: Based on the genetic algorithm and weight coefficient method, the joint allocation model of multi-water sources in Xiamen City is constructed by taking into account of multiple water sources such as surface water and groundwater, as well as constraints including water supply capacity and the supply-demand relationship. The optimization of multi-water source joint allocation in various administrative districts with economic, social, and ecological objectives is studied. The results show that only the scheme giving priority to social benefit can achieve higher guarantee rate of domestic water in extra-dry year. Under the conventional condition of groundwater exploitation, Siming district and Huli district inside the island are mainly allocated with the external diversion water from Jiulong River, while the other four districts outside the island are mainly allocated with local surface water and groundwater. Mining groundwater storage resources as emergency water source can greatly improve the water supply security, but also change supply structure in each district with a great increase of groundwater supply proportion. The results show that the genetic algorithm can be employed to rationally allocate various water sources with different objectives, and groundwater may play a greater role in ensuring water supply security.
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Key words:
- surface water-groundwater /
- genetic algorithm /
- multi-objective /
- optimization /
- emergency water supply
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