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考虑水土互馈关系的区域水土资源联合优化配置OA北大核心CSTPCD

Joint optimal allocation of regional water and land resources considering mutual feedback relationship

中文摘要英文摘要

针对水土资源空间不匹配、水资源总量不足及土地资源利用程度不高等问题,以二元水循环理论为基础,构建考虑水土互馈关系的区域水土资源联合优化配置模型.该模型包括产水模块、水土联合配置模块和土地模拟模块,以GDP最大和基于生态绿当量的区域植被覆盖率(EGE-RVC)最高为目标函数,并提出了一种耦合约束法、逐次逼近法和非线性规划的三层嵌套算法进行求解.以河南省洛阳市为例对模型和方法进行验证,结果表明,洛阳市可利用水量增加了4 463 万m3,GDP提高了12.5%,EGE-RVC增加了 2.6%,各用地类型缺水率不同程度下降.研究成果能够为区域水土资源优化配置研究提供新的思路和技术参考.

Aiming at the problems of spatial mismatch of water and land resources,lack of total water resources and low utilization of land resources,this paper establishes a joint optimal allocation model of regional water and land resources considering mutual feedback relationship based on the dualistic water cycle theory.This model consists of water production module,water and land resources joint allocation module and land simulation module,and takes maximum GDP and maximum regional vegetation coverage based on ecological green equivalent(EGE-RVC)as the objective functions.A three-layer nested algorithm coupling constraint method(CSM),successive approximation(SA)method and nonlinear programming(NLP)is proposed to solve the model.The proposed model and method are validated by taking Luoyang City of Henan Province as a research example.The results show that the available water volume in Luoyang City increases by 44.63 million m3,the GDP increases by 12.5%,and the EGE-RVC increases by 2.6%.The water shortage rate of each land type has decreased to varying degrees.The research results can provide a new idea and technical reference for the research on the optimal allocation of regional water and land resources.

卢娜;张佳明;苏承国;胡政磊;吴泽宁;严登华

郑州大学水利与交通学院, 河南 郑州 450001||黄河实验室(郑州大学), 河南 郑州 450001中国水利水电科学研究院, 北京 100038

水利科学

水土资源联合优化配置相互作用二元水循环三层嵌套算法

water and land resourcesjoint optimal allocationmutual feedback relationshipdualistic water cyclethree-layer nested algorithm

《水科学进展》 2024 (002)

208-219 / 12

国家自然科学基金资助项目(52279028);河南省科技攻关项目(222102320108) The study is financially supported by the National Natural Science Foundation of China(No.52279028)and the Key Science and Technology Project of Henan Province,China(No.222102320108).

10.14042/j.cnki.32.1309.2024.02.003

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