title: Groundwater quality assessment based on rough sets attribute reduction and TOPSIS method in a semi-arid area, China.
abstract: In order to enrich and improve the groundwater quality assessment system, a new coupled assessment model based on rough set attribute reduction and the technique for order preference by similarity to ideal solution (TOPSIS) was proposed. The proposed model was applied in the groundwater quality assessment of a semi-arid area, northwest China. The results show that most chemical indices except NH                            (4)                                      (+)                         , F(-), and Mn meet the Standards for Drinking Water of China and the groundwater quality overall is good. All assessed water samples are found to be fit for human consumption according to the comprehensive assessment results. Rough set attribute reduction for groundwater quality assessment is practical. The assessment results after attribute reduction show a good consistency with those before attribute reduction. Rough set attribute reduction and TOPSIS evaluation coupled model is clear in ideas and simple in calculation, and evaluation results are reasonable as well. The coupled model can be applied to solve many multiple criteria decision making problems such as groundwater quality assessment.
authors: School of Environmental Science and Engineering, Chang'an University, No. 126, Yanta Road, Xi'an 710054, China. lipy2@163.com
authors: Peiyue
authors: P
authors: Li
authors: Jianhua
authors: J
authors: Wu
authors: Hui
authors: H
authors: Qian
mesh_terms: D002681:China; D003661:Decision Support Techniques; D004784:Environmental Monitoring / Q000379:methods; D060587:Groundwater / Q000737:chemistry*; D014874:Water Pollutants, Chemical / Q000032:analysis; D014877:Water Pollution, Chemical / Q000706:statistics & numerical data; D060753:Water Quality / Q000592:standards*
chemical_list: D014874:Water Pollutants, Chemical