Optimization Design of Monitoring Sections of Qinghe River Basin
- https://doi.org/10.2991/icmmita-15.2015.56How to use a DOI?
- Qinghe River; Sections Optimization; K-means Cluster; Matter Element Analysis.
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.
- © 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 -