BP神经网络在城市水环境承载力预测中的应用  

Application of BP Neural Network to Water Environment Carrying Capacity of City River

作　　者：胡荣祥[1] 徐海波[1] 任小松 徐荣华 王士武[1] 

机构地区：[1]浙江省水利河口研究院,浙江杭州310020 [2]丽水市水利局,浙江丽水323000

出　　处：《人民黄河》2012年第8期79-81,共3页Yellow River

基　　金：浙江省水利厅科技计划项目(RB0918)

摘　　要：将人工神经网络引入到水环境承载力预测的研究应用中,选取11项指标为模型输入项,把综合污染指数作为输出项,构建了BP神经网络评价模型,利用构建的模型预测评价丽水市内河水环境承载力状况,给出了该区在不同方案下的水环境承载力情况,并对预测结果进行了分析。采用的BP神经网络评价模型具有结构简单、建模方便等特点,通过训练能快速准确获得样本信息,评价结果能直观地反映评价地区的水环境承载状态。Selecting 11 indexes as input items, comprehensive pollution index as output item, an evaluation model of basin water environment car- rying capacity was built on the basis of the BP ANN, via which water environmental carrying capacity of river in Lishui City in different plans was forecasted, and the forecasting results were analyzed. The built model has the characteristics of simple structure, easily modeling, and gaining sam- ple information fast and accurate after training, so the evaluation results can reflect water carry capacity situation of assessed region visually. Re- garding Lishui City as a case, the results will give the government for some suggestions for environmental protection.

关 键 词：水环境承载力 BP神经网络 评价指标 丽水市 

分 类 号：TV213.4[水利工程—水文学及水资源]