Application of Improved Gray Clustering Method in Ming-guan Campus
- 10.2991/ifeesm-17.2018.172How to use a DOI?
- Grey clustering; Weight; Fuzzy evaluation; Water assessment
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.
- © 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/).
Cite this article
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 -