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作 者:罗义[1] 赵丙昊 苏梦 赵世高 马恺 宋星娴 LUO Yi;ZHAO Bing-hao;SU Meng;ZHAO Shi-gao;MA Kai;SONG Xing-xian(Hebei University of Architecture,Zhangjiakou,Hebei 075000,China)
机构地区:[1]河北建筑工程学院(市政与环境工程系),河北张家口075000
出 处:《四川环境》2022年第2期13-19,共7页Sichuan Environment
基 金:河北建筑工程学院硕士研究生校级创新基金项目-水量水质耦合模型及其响应关系研究(XY202028)。
摘 要:为了合理调度椒江流域地区水资源,提高水质质量和保护水生态环境,采用的技术方案是构建出新型水量水质水生态多目标耦合模型,在不同的水量和水质条件下,通过分析得到不同用途环境下的水质的需水量,并根据针对缺水问题计算椒江流域内多个水池中的需水量和污染负荷,在水资源分配和水生态保护等多个角度制定了合理的配水方案。还采用的技术方案是通过遗传算法对构建的水量水质水生态多目标耦合模型进行优化调度,并设计了实验进行验证。结果表明,在迭代计算1000次环境下,本研究模型水质系数δ为0.85、水量系数α为0.18。因此得出结论:经过所提模型优化后椒江流域地区的水资源质量提高,水资源需求量降低,体现了所提方法的有效性。In order to reasonably dispatch water resources in Jiaojiang River Basin, improve water quality and protect water ecological environment, a new multi-objective coupling model of water quantity, water quality and water ecology is constructed.Under different water quantity and water quality conditions, the water demand of water quality under different environments is obtained through analysis. According to the calculation of water demand and pollution load of several pools in Jiaojiang River Basin, a reasonable water distribution scheme is formulated from the perspectives of water resource allocation and water ecological protection. The technical scheme of this study is to optimize the water quantity, water quality and water ecological multi-objective coupling model through genetic algorithm, and the experiment is designed to verify it. The results showed that the water quality coefficient δ is 0. 85 and the water quantity coefficient α is 0. 18 under 1000 iterations. Therefore, it is concluded that after the optimization of the proposed model, the quality of water resources in Jiaojiang River Basin is improved, and the demand for water resources is reduced, which reflects the effectiveness of the proposed method.
关 键 词:水量水质 水文循环 多目标耦合 污染负荷 遗传算法
分 类 号:TV211[水利工程—水文学及水资源]
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