Watershed pollution control plans effect assessment: Countermeasure adjustment modeling and simulation

Ya Juan Yu*, Kai Huang, Shu Xia Yu, Long Hao Ye, Yan Chen, Huai Cheng Guo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As the effect of watershed pollution control planning is hard to evaluated, this paper brought forward a kind of methodology to assess the countermeasures' effects on the water body. A kind of Artificial Neural Net (ANN) work called Radial Basis Function (RBF) was used to simulate the uncover interrelationships among the measures and the water quality indicators. After building their internal net, some certain input parameters which represents the environmental protection investments or alike in the net, were adjusted mandatorily. The variations of the output water quality indicators showed the effect of these countermeasures. The simulation result showed that investment on environmental protection is a positive index for water quality improvement.

Original languageEnglish
Title of host publicationProceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010
Pages1632-1636
Number of pages5
DOIs
Publication statusPublished - 2010
Event17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010 - Xiamen, China
Duration: 29 Oct 201031 Oct 2010

Publication series

NameProceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010

Conference

Conference17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010
Country/TerritoryChina
CityXiamen
Period29/10/1031/10/10

Keywords

  • Effect assessment
  • Radial Basis Function (RBF)
  • Watershed pollution control

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