title: A new water quality assessment model based on projection pursuit technique.
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.
authors.affiliation: School of Civil and Hydraulic Engineering, Dalian University of Technology, Dalian 116024, China. zhangchi@dlut.edu.cn
authors.forename: Chi
authors.initials: C
authors.lastname: Zhang
authors.affiliation: School of Environment Science and Engineering, Dalian Jiaotong University, Dalian 116028, China.
authors.forename: Sihui
authors.initials: S
authors.lastname: Dong
mesh_terms: D002681:China; D004784:Environmental Monitoring / Q000379:methods; D060587:Groundwater / Q000737:chemistry; D008962:Models, Theoretical; D060753:Water Quality