Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications

Optimization Design of Monitoring Sections of Qinghe River Basin

Authors
Xuejiao Feng, Xiang He, Jinxiang Fu, Fan Wang
Corresponding Author
Xuejiao Feng
Available Online November 2015.
DOI
https://doi.org/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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Volume Title
Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
10.2991/icmmita-15.2015.56
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmmita-15.2015.56How to use a DOI?
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/).

Cite this article

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  - https://doi.org/10.2991/icmmita-15.2015.56
ID  - Feng2015/11
ER  -