长江科学院院报2016，Vol.33Issue(10)：18-23,6.DOI:10.11988/ckyyb.20150696
基于 SSO－PP 模型的滇池流域水质综合评价
Comprehensive Evaluation of Water Quality in Dianchi Watershed Based on SSO-PP model
吴光琼 1方金鑫1
作者信息
- 1. 云南省水文水资源局 丽江分局，云南 丽江 674100
- 折叠
摘要
Abstract
In order to overcome the difficulty of determining the optimal projection direction in practical application of projection pursuit (PP) model, we propose a method of searching the optimal projection direction by using Social Spiders Optimization (SSO) algorithm, and hence building a SSO-PP model of water quality assessment .Four mo-nitoring sections of Dianchi Lake watershed in Yunnan province from 2003 to 2013 were taken as case study.Fiver factors which have big influences on water quality were selected as assessment indicators : NH3-N, TN, CODMn , BOD5 , and TP.The rating criteria of water quality were obtained according to index standard thresholds. Results showed that the assessment results of SSO -PP model were consistent with those of single -factor analysis, some supe-rior for section 1#, 2#, and 4#.Kendall statistical test showed that the water quality of section 3# and section 4# im-proved apparently.The results of SSO-PP model are objective and reasonable , indicating that the model can be ap-plied to assessing water quality effectively .关键词
水质评价/投影寻踪/群居蜘蛛优化算法/群体智能/滇池流域Key words
water quality assessment/projection pursuit/social spider optimization algorithm/swarm intelligence/Dianchi watershed分类
资源环境引用本文复制引用
吴光琼,方金鑫..基于 SSO－PP 模型的滇池流域水质综合评价[J].长江科学院院报,2016,33(10):18-23,6.
