摘要
近年来中国乡村面源污染问题日益突出,逐渐成为乡村水环境整治的瓶颈。从风景园林、环境工程、水文学等多学科视角出发,将低影响开发(LID)理念引入乡村面源污染治理中。运用ArcGIS、SWAT等软件工具,构建了一种从面源污染风险性与水文敏感性结合出发判定关键污染源区的乡村LID措施选址方法。以具有成都平原典型乡村特征的寿安镇为案例,对方法进行验证。结果表明,通过该方法识别出的寿安镇LID选址区域面积占比适宜且涵盖多种用地类型,对于具有分散式、小规模、源头控制特征的LID措施较为适用。通过优先在选址区域内进行LID设计改造,可在有限的土地资源占用下获得较高的面源污染去除效益。研究结果有利于指导寿安镇及其他类似成都平原乡村地区的未来面源污染防治以及生态发展,同时丰富了LID措施在中国乡村地区选址方面的量化研究。
In recent years, China’s rural non-point source pollution has become increasingly prominent, and gradually become the bottleneck of rural water environment remediation. From the perspectives of landscape architecture, environmental engineering, hydrology and other disciplines, this study introduced the concept of low-impact development(LID) into rural non-point source pollution control. By using software tools such as ArcGIS and SWAT,a method for localizing LID measures in rural areas of key pollution sources was constructed based on the risk of non-point source pollution and hydrological sensitivity. A case study of Shouan Town with typical rural characteristics in Chengdu plain was carried out to verify the method. The results showed that the area proportion of LID site selection in Shouan Town identified by this method was appropriate and covered a variety of land types, which was more suitable for decentralized, small-scale and source control LID measures. By giving priority to LID design and transformation in the selected area, higher efficiency of non-point source pollution removal can be achieved under the limited occupation of land resources. The research results are beneficial to guide the future non-point source pollution prevention and ecological development of Shouan Town and other rural areas like Chengdu plain, and enrich the quantitative research on the site selection of LID measures in rural areas of China.
作者
林子琦
杨青娟
LIN Ziqi;YANG Qingjuan(School of Architecture,Southwest Jiaotong University,Chengdu Sichuan 611756)
出处
《环境污染与防治》
CAS
CSCD
北大核心
2022年第11期1531-1538,1545,共9页
Environmental Pollution & Control
基金
教育部社科基金资助项目(No.21YJAZH100)
国家自然科学基金资助项目(No.51408499)
四川省科学技术厅重点研发项目(No.2019YFS0061)。
关键词
乡村面源污染
LID
选址
土壤地形指数
SWAT
rural non-point source pollution
LID
site selection
soil topographic index
SWAT
