摘要
城市内河水环境承载力评价是实现水资源科学管理和水污染综合治理的基础。本文在阐述水环境承载力内涵及评价状况的基础上,对多种方法的适用性和可操作性进行分析,选取人工神经网络模型(BP)和径向基函数人工神经网络模型(RBF)进行内河水环境承载力评价;构建指标评价体系,对BP和RBF模型进行驯化和参数率定,确定水环境综合污染指数,进行城市内河水环境承载力评价。以丽水市城市内河为例,综合评价水环境综合承载状态为弱承载,验证了评价指标和方法选取的可行性,为进行丽水市内河水环境整治提供依据。
The river water environment bearing capacity evaluation in the city is the basis of realizing wa-ter resources scientific management and water pollution comprehensive treatment .By stating the content and evaluation state of water environment bearing capacity , the paper analyzed the applicability and oper-ability of various methods , selected model of artificial neural network ( BP ) and radial basis function ( RBF) artificial neural network model to evaluate water environmental bearing capacity .The paper es-tablished the index evaluation system , domesticated BP and RBF model and calibrated parameter , final-ly, given the comprehensive pollution index of water environment , to study the water environment bearing capacity evaluation method in the city .The paper made Lishui city as the study region , the water envi-ronment comprehensive load state was weak load .The result demonstrated the feasibility of evaluation in-dex and method .
出处
《水资源与水工程学报》
2015年第3期105-109,共5页
Journal of Water Resources and Water Engineering
基金
浙江省水利厅科技计划项目(RB0918)
浙江省科学技术厅科技计划项目(2012F2004)
关键词
水环境承载力
BP模型
RBF模型
评价指标
丽水市
water environment bearing capacity
BP model
RBF model
evaluation index
Lishui city
