Application of a PCA based water quality classification method in water quality assessment in the Tongjiyan Irrigation Area, China

DOI

10.2991/iceep-16.2016.20How to use a DOI?

Keywords

Water quality assessment; principal component analysis (PCA); water quality classification

Abstract

Applied principal components analysis(PCA) to assess the water quality of Tongjiyan River in 2014, based on monitoring data of 8 indicators, such as CODMn, NH3-N, DO, etc.. As PCA could not classify water samples according to their water quality, a PCA based water quality classification method, which was similar to Nemerow approach, was proposed to overcome this problem. Classification results were compared with other methods, such like Fuzzy Evaluation, Nemerow index method and improved Nemerow index method. Result showed that PCA could present an intuitive description of river's pollution patterns in different months. Based on PCA results, we used PCA based water quality classification method to classify water samples so that we could get a deeper understanding of water pollution degree.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xue-Feng Tao
AU  - Tao Huang
AU  - Xiao-Feng Li
AU  - Dao-Ping Peng
PY  - 2016/11
DA  - 2016/11
TI  - Application of a PCA based water quality classification method in water quality assessment in the Tongjiyan Irrigation Area, China
BT  - Proceedings of the 2016 5th International Conference on Energy and Environmental Protection (ICEEP 2016)
PB  - Atlantis Press
SP  - 118
EP  - 125
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-16.2016.20
DO  - 10.2991/iceep-16.2016.20
ID  - Tao2016/11
ER  -