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Indexed by:期刊论文

Date of Publication:2009-07-01

Journal:Journal of environmental sciences (China)

Included Journals:EI、PubMed、ISTIC

Volume:21 Suppl 1

Issue:Suppl 1

Page Number:S154-7

ISSN No.:1001-0742

Abstract:A new water quality assessment model was built based on projection pursuit technique. A great quantity of sample data was applied to increase the model's precision. A new genetic algorithm combined with conditional optimization method was proposed and applied to the model optimization, which could deal with global optimization problem with various restrictions effectively. The case study shows that this model can give an appropriate assessment of water quality. Moreover, it can determine the index weights in an objective way or provide information for decision makers, which is difficult for other assessment methods.