摘要
为了探究缺水地区如何发挥水资源优化配置综合效益,强化水资源管理,提出以社会、经济、生态为目标的区域水资源优化配置模型。结合水资源实际配置情况,应用第三代非支配排序遗传算法(NSGA-Ⅲ)求解配置模型并获得待选方案集,随后通过建立博弈论-TOPSIS评价模型,对方案集进行筛选获得相对最佳方案。以忻州-阳泉供水区为研究对象,对来水频率为75%、50%、25%的水资源优化配置方案进行求解分析。结果表明:改进NSGA-Ⅲ算法和博弈论-TOPSIS评价模型在模型求解过程中具有较强的实用性,使得优选方案结果更为合理,相较其他方法具有明显优势;最后通过对不同配置方案分析可知,忻州-阳泉供水区实现可持续发展的关键在于不断提升水资源利用效率和努力实现水资源的可持续利用。
In order to explore how to give full play to the comprehensive benefits of optimal allocation of water resources in water shortage areas and strengthen water resources management,a regional optimal allocation model of water resources with social,economic and ecological objec-tives was proposed.Considering the actual allocation of water resources,the Non-dominated Sorting Genetic AlgorithmⅢ(NSGA-Ⅲ)was ap-plied to solve the allocation model and obtained a set of candidate schemes.Subsequently,by establishing a game theory-TOPSIS evaluation model,the scheme set was filtered to obtain the relatively optimal scheme.Taking Xinzhou-Yangquan water supply area as the research object,optimization allocation schemes for water resources with frequencies of 75%,50%and 25%were analyzed.The results of the allocation cases indicate that the improved NSGA-Ⅲalgorithm and the game theory-TOPSIS evaluation model have stronger practicality in the model-solving process,making the optimal scheme results more reasonable and demonstrating significant advantages compared to other methods.Finally,through analysis of different allocation schemes,it is revealed that the key to achieving sustainable development in Xinzhou-Yangquan water supply area lies in continuously improving the efficiency of water resources utilization and striving to achieve sustainable use of water resources.
作者
袁志朋
杨侃
陈静
钱琳虹
李哲东
吴佳锋
YUAN Zhipeng;YANG Kan;CHEN Jing;QIAN Linhong;LI Zhedong;WU Jiafeng(College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China;Yixing Water Conservancy Bureau,Yixing 214000,China)
出处
《人民黄河》
CAS
北大核心
2024年第7期79-84,153,共7页
Yellow River
基金
山西省水利科学技术研究与推广资助项目(2017DSW02)
国家自然科学基金青年基金资助项目(52109034)
中央高校基本科研业务费专项资金资助项目(2452021085)
