NBA-MEPP模型在区域水资源安全评价中的应用

发布时间：2018-05-23 22:54

本文选题：投影寻踪 + 最大熵　；参考：《人民长江》2017年13期

【摘要】：利用新型蝙蝠算法(NBA)优化最大熵投影寻踪(MEPP)模型的最佳投影方向,提出NBA-MEPP水资源安全评价模型,并构建了蝙蝠算法(BA)-MEPP、人工蜂群(ABC)算法-MEPP和粒子群优化(PSO)算法-MEPP作为对比模型;从水资源禀赋、水量安全、效率安全以及水质安全4个方面提出了水资源安全评价指标体系和分级标准,并以云南省16个州市的水资源安全评价为例进行实例研究。研究结果表明,NBA算法寻优MEPP目标函数获得的最优值、最劣值、平均值和标准差均要优于BA、ABC和PSO算法,具有较好的全局极值寻优能力。NBA-MEPP模型对德宏州的水资源安全评价为"安全",对丽江市的评价为"临界安全",对其他14个州市的评价为"较安全"。NBA-MEPP模型对16个州市的水资源安全评价结果与BA-MEPP模型的结果相同,但是在排序上存在着差异;与ABC-MEPP、PSO-MEPP模型在评价结果及排序上均存在差异。提出的模型及评价方法具有通用性,可为相关评价研究提供参考。
[Abstract]:Using the new bat algorithm to optimize the optimal projection direction of the maximum entropy projection pursuit (MEPP) model, a NBA-MEPP water resources safety evaluation model is proposed. The bat algorithm, artificial bee colony ABC (-MEPP) algorithm and particle swarm optimization (PSO) algorithm -MEPP are constructed as the comparative models. The evaluation index system and grading standard of water resources safety are put forward from four aspects: water resource endowment, water quantity safety, efficiency safety and water quality safety. The example of water resources safety evaluation in 16 cities of Yunnan Province is given. The results show that the best value, the worst value, the average value and the standard deviation obtained by the MEPP objective function are better than those obtained by the MEPP and PSO algorithms. NBA-MEPP model is "safe" for water resources safety evaluation in Dehong, "critical safety" for Lijiang City, and "safer" for other 14 cities. NBA-MEPP model is "safer" for 16 cities. The results of water resources safety assessment based on BA-MEPP model are the same as those of BA-MEPP model. However, there are differences in ranking and evaluation results with ABC-MEPPN PSO-MEPP model. The proposed model and evaluation method are universal and can provide reference for related evaluation research.
【作者单位】：云南省水利水电勘测设计研究院;
【基金】：国家水体污染控制与治理科技重大专项(201307102-006-01) 院士工作站建设专项(2015IC013)
【分类号】：TV213.4

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