title: [A comprehensive quantitative assessment model for arid area's basin water-soil environment quality].
abstract: The existing assessment models for water-soil environment quality are usually established on the relationships between assessment indicators and their assessment criteria. Such kinds of models are varied with regional scale, and always need a mass of calculation work. This paper tried to find a general assessment model based on a given water-soil quality assessment criteria. In this process, stochastic technology was used to simulate enough assessment indictor series, and then, assessment model was built up by using artificial neural network to assess these series. This model could reduce work load, and needn't construct functional relations between assessment indicators and their criteria and calculate weigh value. A case study in a basin with the highest level of water resources utilization showed that the model was practical and convenient, and could be used in basin water-soil quality assessment.
authors.affiliation: College of Water Resources and Architectural Engineering, Northwest Sci-Tech University of Agriculture and Forestry, Yangling 712100, China. SSB6533@yahoo.com.cn
authors.forename: Songbai
authors.initials: S
authors.lastname: Song
authors.forename: Huanjie
authors.initials: H
authors.lastname: Cai
mesh_terms: D003247:Conservation of Natural Resources; D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods*; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D012987:Soil; D012989:Soil Pollutants / Q000032:analysis; D014867:Water; D014873:Water Pollutants / Q000032:analysis
chemical_list: D012987:Soil; D012989:Soil Pollutants; D014873:Water Pollutants; D014867:Water