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人工砂石料系统环境影响评价
引用本文:秦红玲,孟遂民,付光均,石林.人工砂石料系统环境影响评价[J].水力发电,2011,37(2).
作者姓名:秦红玲  孟遂民  付光均  石林
作者单位:1. 三峡大学水电机械设备设计与维护湖北省重点实验室,湖北宜昌,443002
2. 中国安能建设总公司泸定水电站工程项目部,四川泸定,621002
摘    要:通过分析人工砂石料系统中废水排放、噪声、粉尘等8个因素对环境的影响,建立了基于误差反向传播(BP)神经网络的人工砂石料系统环境影响评价模型.基于模糊数学思想,对影响因素中的定性属性进行了量化;对定量属性进行了归一化.考虑选址的敏感性,并将相关国家标准规定的污染物排放限值归一化,共同组成输入样本对BP网络进行训练.实例分析验证了该方法的可行性.

关 键 词:砂石料系统  环境影响评价  BP神经网络

Environment Impact Assessment of Artificial Aggregate System
Qin Hongling,Meng Suimin,Fu Guangjun,Shi Lin.Environment Impact Assessment of Artificial Aggregate System[J].Water Power,2011,37(2).
Authors:Qin Hongling  Meng Suimin  Fu Guangjun  Shi Lin
Institution:Qin Hongling1,Meng Suimin1,Fu Guangjun2,Shi Lin2(1.Hubei Key Laboratory of Hydroelectric Machinery Design & Maintenance,China Three Gorges University,Yichang 443002,Hubei,China,2.Luding Hydropower Project Division of China Anneng Construction Corporation,Luding 621002,Sichuan,China)
Abstract:The environment impact assessment model based on BP neural network is established for the artificial aggregate system after analyzing eight factors which having impacts on environment,such as waste water,noise and dust.Based on the idea of fuzzy mathematics,the qualitative attribute of the factors are quantified,and the quantitative ones are normalized.The emission limit of each factors determined by national standards on environment protection are input as training samples to BP neural network.The case stu...
Keywords:aggregate system  environment impact assessment  BP neural network  
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