旱区流域水土环境质量的综合定量评价模型

A comprehensive quantitative assessment model for arid area's basin water-soil environment quality.

现有流域水土环境质量的评价方法大多根据评价区评价指标量化值与评价等级标准建立评价模型.评价区不同,评价模型也不相同,计算工作量较大.本文根据给定的水土环境质量评价等级标准,采用随机技术模拟生成足够数量的评价指标序列,应用人工神经网络模型,以评价指标生成序列和其所属的评价等级值建立一种通用的评价模型,其特点是不需要构造评价指标集和评价等级值间的函数关系和计算权重值,减少了建立模型的工作量.以西北地区水资源开发利用程度最高的石羊河流域进行实例研究,表明该模型可操作性强,可用于流域水土环境质量评价.

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.