Assessment of Lake Water Quality Using Multivariate Statistical Analysis and GIS Techniques: a Case Study of Huangjia Lake

被引：0

作者：

Wang, Songlin ^{[1
]}

Liu, Zhe ^{[2
]}

Shi, Junnan ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Environm Sci & Technol, 1037 Luoyu Rd, Wuhan 430074, Peoples R China

[2] Hubei Acad Environm Sci, Wuhan 430072, Peoples R China

来源：

2015 4TH INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENTAL PROTECTION (ICEEP 2015) | 2015年

关键词：

Water Quality Parameters; CCME-WQI; GIS; Cluster Analysis;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Multivariate statistical analysis, cluster analysis (CA) and Geographical Information System (GIS) were adopted to the data on water quality of Huangjia Lake, collected monthly over a one-year period (2013-2014) from 36 different sites for 8 parameters. The water quality index map and the water quality parameters thematic maps reflect the uneven distribution of lake water quality. The Kendall trend test analysis of water quality monitoring data (2009-2014) indicated that water quality was deteriorating.

引用

页码：3911 / 3915

页数：5

共 2 条

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