水资源保护Issue(2)：50-54,5.DOI:10.3880/j.issn.10046933.2015.02.010
基于马尔科夫模型的太湖水质综合评价
Comprehensive evaluation of water quality in Taihu Lake based on Markov model
摘要
Abstract
The author of this paper analyzed the water quality monitoring data , of Taihu lake from 2000 to 2005 , getting the average value of water quality in different areas .The grey clustering method was used to evaluate the water quality of different lake areas , and the relative progress degree of seasonal variation of water quality in different lake areas was calculated by using Markov model .The results show that spatial and temporal differences of water quality in Taihu Lake is obvious: the water quality of Zhushan Lake and Meiliang Bay is worst , the water class is Ⅴ,but the water quality of east Taihu Lake and eastern of Taihu Lake is relatively better , the water class isⅡ.Among different water quality indicators , the degree of spatial heterogeneity of ammonia nitrogen is the largest , followed by the total nitrogen and total phosphorus , while the degree of permanganate index is relatively smaller . The results indicate that sewage is the main source pollution of Taihu Lake .The seasonal variation of water quality in Zhushan Lake and Meiliang Bay is the largest , and the water quality in summer and autumn is relatively better than that in winter and spring .While the seasonal variation of water quality in the other lake areas is small .关键词
马尔科夫模型/水质评价/灰色聚类/时空特性/太湖Key words
Markov model/water quality evaluation/grey clustering/spatial-temporal characteristic/Taihu Lake分类
资源环境引用本文复制引用
范丽丽,邱利,田威,李梦迪,许贺伟,章双双,李一平..基于马尔科夫模型的太湖水质综合评价[J].水资源保护,2015,(2):50-54,5.基金项目
国家自然科学基金（51409172）；国家自然科学基金（51379061）；江苏省自然科学基金 （）
