Title :
Assessment of reclaimed water quality based on the improved projection pursuit
Author :
Junming, Huang ; Jiancang, Xie ; Jianlong, Zhang
Author_Institution :
Inst. of Water Conservancy & Hydroelectric Power, Xi´an Univ. of Technol., Xi´an, China
Abstract :
In order to improve the accuracy of the reclaimed water quality assessment, solve the problem of the uncertainty and ambiguity of its indexes, this paper use projection pursuit(PP), genetic algorithm(GA), evaluation standards of water quality to build a new Mathematical model of the comprehensive assessment of reclaimed water quality, which is genetic algorithm projection pursuit(GAPP)model. And the result of case study proves that the GAPP model is intuitive, reliable and high-precision with a higher classification function and a better sorting function, which can be widely applied to agriculture and water´s environmental quality assessment issue.
Keywords :
genetic algorithms; water quality; classification function; genetic algorithm projection pursuit model; mathematical model; reclaimed water quality assessment; sorting function; Genetic algorithms; Indexes; Mathematical model; Quality assessment; Sewage treatment; Water pollution; Water resources; Water Quality Assessmen; genetic algorithm; projection pursuit; reclaimed water;
Conference_Titel :
Water Resource and Environmental Protection (ISWREP), 2011 International Symposium on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-339-1
DOI :
10.1109/ISWREP.2011.5893440