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

Content Provider	IEEE Xplore Digital Library
Author	Ya-juan Yu Kai Huang Shu-xia Yu Long-hao Ye Yan Chen Huai-cheng Guo
Copyright Year	2010
Description	Author affiliation: College of Environmental Science and Engineering, Beijing Forestry University, China (Kai Huang) \|\| College of Environmental Science and Engineering, Peking University, Beijing, China (Huai-cheng Guo) \|\| College of Resource and Environment, Huazhong Agricultural University, Wuhan, China (Shu-xia Yu) \|\| Beijing Key Laboratory of Environmental Science and Engineering, School of Chemical Engineering & Environment, Beijing Institute of Technology, China (Ya-juan Yu; Long-hao Ye; Yan Chen)
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.
Starting Page	1632
Ending Page	1636
File Size	834737
Page Count	5
File Format	PDF
ISBN	9781424464838
e-ISBN	9781424464845
DOI	10.1109/ICIEEM.2010.5646099
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Watershed pollution control Atmospheric measurements Biological system modeling Radial Basis Function (RBF) Lakes Particle measurements Effect assessment Board of Directors
Content Type	Text
Resource Type	Article

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