Optimization Design of Monitoring Sections of Qinghe River Basin

DOI

10.2991/icmmita-15.2015.56How to use a DOI?

Keywords

Qinghe River; Sections Optimization; K-means Cluster; Matter Element Analysis.

Abstract

K-means fuzzy cluster analysis and matter element analysis have been used to select optimize points of water quality monitoring in Qinghe River, taking 8 monitoring section data in June 2014. K-means fuzzy clustering analysis method is suitable for the processing of continuous data set,and matter element analysis method is for handling multi-objective data set.The two methods are combined to optimize single mathematical statistical method. As a result of optimization , 8 monitoring points can be reduced to 6 monitoring sites ,according to sectional properties and actual situation.

Copyright

© 2015, 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  - Xuejiao Feng
AU  - Xiang He
AU  - Jinxiang Fu
AU  - Fan Wang
PY  - 2015/11
DA  - 2015/11
TI  - Optimization Design of Monitoring Sections of Qinghe River Basin
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 283
EP  - 289
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.56
DO  - 10.2991/icmmita-15.2015.56
ID  - Feng2015/11
ER  -