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基于MAGA-PPC模型的水资源配置方案综合评价 被引量:9

Comprehensive evaluation of water resources allocation schemes based on MAGA-PPC model
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摘要 针对水资源配置方案的多目标性、模糊性和不确定性的特点,采用投影寻踪方法将高维数据投影到二维空间,结合聚类算法和多智能体遗传算法建立水资源配置方案综合评价投影寻踪聚类模型(MAGA-PPC),并通过指标的相关性分析验证模型的有效性确保求得最优解。以陕西省引汉济渭受水区为例进行研究。结果表明:MAGA-PPC能够较为系统地量化各方案在社会、经济、生态和资源等方面的综合差异,其评价结果符合研究区水资源开发利用的实际情况,MAGA-PPC在水资源合理配置方案评价中有较好的实用性。 According to the characteristics of multi-objective,fuzziness and uncertainty of water resource allocation scheme,projection pursuit method was used to project high dimensional data into two-dimensional space,and combined with the clustering algorithm and multi-agent genetic algorithm,a projection pursuit clustering comprehensive evaluation model( MAGA-PPC) of water resources allocation was established. The validity of the model is verified by the correlation analysis of the index to ensure that the optimal solution is obtained. Meanwhile,the Hanjiang-to-Weihe water transfer project in Shaanxi province was taken as an example,and the evaluation results show that MAGA-PPC can comprehensively and systematically quantify the differences in social,economic,ecological,resources aspects of various programs,and this evaluation result is consistent with the development and utilization of water resources in the study area. Moreover,MAGA-PPC has good practicability in the evaluation of rational allocation of water resources.
作者 王庆杰 岳春芳 李艺珍 WANG Qingjie;YUE Chunfang;LI Yizhen(College of Water Conservancy and Civil Engineering,Xinjiang Agricultural University,Urumqi 830052,China)
出处 《水资源与水工程学报》 CSCD 2018年第3期105-110,共6页 Journal of Water Resources and Water Engineering
基金 国家自然科学基金项目(51569032)
关键词 水资源配置方案 综合评价 投影寻踪聚类模型(PPC) 多智能体遗传算法(MAGA) water resources allocation schemes comprehensive evaluation projection pursuit clustering(PPC) model multi-agent genetic algorithm (MAGA)
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