Water pollution index evaluation of lake based on principal component analysis

3rd International Symposium on Resource Exploration and Environmental Science

生态环境科学

Liu, Dalin^1 ; Huang, Faming^1 ; Kang, Wenjing^1 ; Du, Yaoxian^1 ; Cao, Zhongshan^1

School of Civil Engineering and Architecture, Nanchang University, Nanchang, China^1

关键词: Comprehensive evaluation;    Fresh water lakes;    Input variables;    Lake water quality;    Po-yang lakes;    Water pollution factors;    Water pollution index;    Water quality monitoring stations;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/300/3/032010/pdf
DOI  :  10.1088/1755-1315/300/3/032010

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Poyang Lake is the largest freshwater lake in China, with a wide area and abundant species resources. It is a serious issue to protect and monitor the water quality of Poyang lake. This paper proposes to use principal component analysis (PCA) to evaluate the water pollution index of Poyang Lake. The input variables of PCA are the weekly monitoring water pollution factors including dissolved oxygen (DO), chemical oxygen demand (CODMn) and NH4+-N. The water quality monitoring station is in Hukou County of China from 2004 to 2014. Finally, a series of new water pollution indexes are generated by PCA to reflect the change characteristics of lake water pollution. The results can provide support for the comprehensive evaluation of lake water quality. Meanwhile, the results also discuss the variation in water pollution, which is practical and innovative.