基于BP人工神经网络的河流生态健康预警  

Early warning of river ecosystem health based on BP artificial neural networks

作　　者：徐伟[1] 董增川[1] 付晓花[1] 谈娟娟[1] 刘倩[1] 杜芙蓉[2] 

机构地区：[1]河海大学水文水资源学院,江苏南京210098 [2]江苏省水利厅水资源处,江苏南京210029

出　　处：《河海大学学报（自然科学版）》2015年第1期54-59,共6页Journal of Hohai University(Natural Sciences)

基　　金：中央高校基本科研业务费专项(20141334714);水利部公益性行业科研专项(201101017);"十二五"国家科技支撑计划(2012BAB03B00)

摘　　要：为加强河流管理,在已有的河流生态系统健康研究和BP人工神经网络模型基础上建立了河流生态健康预警模型,并对滦河河流未来健康状况进行了预警。结果表明:滦河在未来20年内河流生态健康状况将有所好转,其中近期水平年2015年为轻度疾病状态,为中警级别;中期水平年2020年与远期水平年2030年均为亚健康状态,为轻警级别。此外针对河流未来的警情状态,从警源分析角度提出了节水、优化水源工程、减污等关于滦河河流生态治理措施。In order to manage rivers more effectively,a river ecosystem health early warning model based on the existing study of river ecosystem health and BP artificial neural networks was established and applied in the early warning of the Luanhe River＇s health status. The results show that the ecosystem health of the Luanhe River will be improved in the next 20 years： in 2015,its health will be in a mild disease state,corresponding to the middle warning level,and in 2020 and 2030,its health will be in a sub-health state,corresponding to the lower warning level. Measures to improve the ecosystem health of the Luanhe River,including water conservation,optimization of water supply projects,and water pollution mitigation,are proposed on the bases of future warning levels and warning sources.

关 键 词：滦河 河流生态健康预警 BP人工神经网络 水污染治理措施 

分 类 号：X522[环境科学与工程—环境工程]