Open AccessWater pollution index evaluation of lake based on principal component analysis
Author(s) -
Dalin Liu,
Faming Huang,
Wenjing Kang,
Yaoxian Du,
Zhongshan Cao
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/300/3/032010
Subject(s) - environmental science , water quality , pollution , principal component analysis , water pollution , water resource management , water resources , hydrology (agriculture) , china , environmental engineering , environmental chemistry , geography , ecology , computer science , engineering , chemistry , geotechnical engineering , archaeology , artificial intelligence , biology
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.