摘要
非点源污染已经成为威胁城市居民生存环境和身体健康的主要污染源之一。在分析非点源污染产生机理及汇总现有控制手段的基础上,设计了基于生态绿化配置的非点源污染控制措施。研究城市中树木植被选择搭配的基本原则及各类可行配置方案,在最优方案的遴选方面构建了一种BP神经网络模型,筛选出最优的林木种类搭配组合。从所提方案在W市绿化区域内的实际应用效果可以观测出,提出设计方案对于局部空气质量的改善及水体中有害物质的减少,具有一定积极影响。
Non point source pollution has become one of the main sources of pollution that threatens the living environment and physical and mental health of urban residents.Based on the analysis of the mechanism of non-point source pollution and the existing control methods,the non-point source pollution control measures based on ecological greening configuration are designed.The basic principles of the selection and collocation of tree vegetation in the city and all kinds of feasible configuration schemes are studied.A BP neural network model is constructed in the selection of the optimal scheme,and the optimal selection of tree species collocation and combination scheme is selected.The practical application effect of the project in the greening area of W city can be measured,and the design scheme has a positive influence on the improvement of local air quality and the reduction of harmful substances in the water body.
作者
张晓凡
杨帆
Zhang Xiaofan;Yang Fan(College of Art and Design,Shaanxi University of Science﹠Technology, Xi an 710021, China)
出处
《环境科学与管理》
CAS
2018年第11期132-137,共6页
Environmental Science and Management
关键词
绿化配置
非点源污染
BP神经网络
greening allocation
non point source pollution
BP neural network
