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应用生态学报 ›› 2005, Vol. 16 ›› Issue (2): 345-349.

• 研究论文 • 上一篇    下一篇

旱区流域水土环境质量的综合定量评价模型

宋松柏, 蔡焕杰   

  1. 西北农林科技大学水利与建筑工程学院, 杨凌, 712100
  • 收稿日期:2003-12-30 修回日期:2004-03-25 出版日期:2005-02-15 发布日期:2005-02-15
  • 通讯作者: 宋松柏,男,1965年生,副教授,博士,主要从事水文水资源教学科研工作.E-mail:SSB6533@yahoo.com.cn.
  • 基金资助:
    高等学校全国优秀博士学位论文作者专项基金项目(200052)和国家自然科学基金项目(50179031)和西北农林科技大学2004年优秀科研人才专项资助项目(04ZR014).

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

SONG Songbai, CAI Huanjie   

  1. College of Water Resources and Architectural Engineering, Northwest Sci-Tech University of Agriculture and Forestry, Yangling 712100, China
  • Received:2003-12-30 Revised:2004-03-25 Online:2005-02-15 Published:2005-02-15

摘要: 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.

关键词: 水土环境质量, 指标体系, 评价方法, 人工神经网络

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.

Key words: Water-soil environment quality, Indicators system, Assessment method, Artificial neural network

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