Application of Improved Gray Clustering Method in Ming-guan Campus

DOI

10.2991/ifeesm-17.2018.172How to use a DOI?

Keywords

Grey clustering; Weight; Fuzzy evaluation; Water assessment

Abstract

In order to verify the feasibility and innovation of grey clustering method for the introduction of weight theory in water quality evaluation. Ming-guan campus of Hebei University of Engineering set up 8 monitoring points to continue water quality monitoring in Handan for 7 days as a cycle of October, November and December in 2016.According to the local water pollution, selected 7 indicators as evaluation factors, such as DO,BOD5,CODCr,CODMN,TP,TN and NH3-N.The results show that: the standard of grade 2 account for 22% of the overall assessment, the standard of grade 3 account for 67% and the standard of grade 4 account for 11% .The water quality in October is significantly better than that in November and December. Compared with the traditional fuzzy water quality evaluation results, result shows that the grey clustering method based on weight is more convenient and reasonable than the traditional fuzzy evaluation.

Copyright

© 2018, 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  - Fuhui Du
AU  - Yuan Wang
PY  - 2018/02
DA  - 2018/02
TI  - Application of Improved Gray Clustering Method in Ming-guan Campus
BT  - Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017)
PB  - Atlantis Press
SP  - 911
EP  - 917
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifeesm-17.2018.172
DO  - 10.2991/ifeesm-17.2018.172
ID  - Du2018/02
ER  -