文章基本信息

标题：IDENTIFICATION AND SPATIAL DISTRIBUTION OF CRITICAL SOURCE AREAS FOR NONPOINT SOURCE POLLUTION ON ISLANDS
本地全文：下载
作者：Deming Ma ; Wen Peng ; Yongde Jin 等
期刊名称：Fresenius Environmental Bulletin
印刷版ISSN：1018-4619
出版年度：2020
卷号：29
期号：7
页码：4861-4870
语种：English
出版社：PSP Publishing
摘要：Certain characteristics of nonpoint source pollution, such as its widespread coverage, dispersion, and apparent randomness of occurrence, make it difficult to effectively manage and control. Using critical source areas for nonpoint source pollution as a basis, the risk level and spatial distribution of source areas are accurately identified. Partitioned management and selective control of source areas are effective methods for controlling nonpoint source pollution. We take the critical source area of island non-point source pollution as a breakthrough. Based on the idea of watershed unit, this paper uses traceability tracking method to introduce the rainfall factor to constrain the MUSLE model. On this basis, through virtual outlet and river network, an improved island non-point source pollution risk model was constructed to identify and classify critical source areas. The results reveal that the source areas for nonpoint source pollution, in descending order of spatial size, are safe areas (10.76 km2), low-risk areas (1.60 km2), high-risk areas (0.51 km2), and medium-risk areas (0.34 km2), representing 81.44%, 12.15%, 3.85%, and 2.56% of the total area, respectively. The critical source areas (medium- and high-risk areas) account for 6.41% of the total area and predominantly correspond to cultivated land. As the risk level increases, agricultural land gradually becomes the predominant component of the critical source areas. Agricultural nonpoint source pollution is the main form of nonpoint source pollution in small watersheds. The results provide scientific guidance and technical support for the control of nonpoint source pollution on islands.
关键词：Nonpoint source pollution;critical source areas;pollution load;spatial distribution