Simulating the land use change effects on non-point source pollution in the Duliujian River Basin.

Autor: Jia X; School of Environmental Science and Engineering, Tianjin University, Tianjin, 300354, China.; Center for Green Buildings and Sponge Cities, Georgia Tech Tianjin University Shenzhen Institute, Shenzhen, 518071, Guangdong, China., Zhang Y; Center of Eco-environmental Monitoring and Scientific Research, Administration of Ecology and Environment of Haihe River Basin and Beihai Sea Area, Ministry of Ecology and Environment of People's Republic of China, Tianjin, 300170, China., Afrane S; School of Environmental Science and Engineering, Tianjin University, Tianjin, 300354, China.; Center for Green Buildings and Sponge Cities, Georgia Tech Tianjin University Shenzhen Institute, Shenzhen, 518071, Guangdong, China., Chen JL; Department of Applied Science, School of Science and Technology, Hong Kong Metropolitan University, Good Shepherd Street, Ho Man Tin, Hong Kong SAR, China.; State Key Laboratory of Marine Pollution and Department of Chemistry, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR, China.; Shenzhen Research Institute of City University of Hong Kong, Shenzhen, China., Yang P; Chinese Research Academy of Environmental Sciences, Beijing, 100012, China. yang.pingjian@craes.org.cn., Mao G; School of Environmental Science and Engineering, Tianjin University, Tianjin, 300354, China.; Center for Green Buildings and Sponge Cities, Georgia Tech Tianjin University Shenzhen Institute, Shenzhen, 518071, Guangdong, China.
Jazyk: angličtina
Zdroj: Environmental geochemistry and health [Environ Geochem Health] 2024 May 02; Vol. 46 (6), pp. 179. Date of Electronic Publication: 2024 May 02.
DOI: 10.1007/s10653-024-01960-1
Abstrakt: The uncertainty in the generation and formation of non-point source pollution makes it challenging to monitor and control this type of pollution. The SWAT model is frequently used to simulate non-point source pollution in watersheds and is mainly applied to natural watersheds that are less affected by human activities. This study focuses on the Duliujian River Basin (Xiqing section), which is characterized by a dense population and rapid urbanization. Based on the calibrated SWAT model, this study analyzed the effects of land use change on non-point source pollution both temporally and spatially. It was found that nitrogen and phosphorus non-point source pollution load losses were closely related to land use type, with agricultural land and high-density urban land (including rural settlements) being the main contributors to riverine nitrogen and phosphorus pollution. This indicates the necessity of analyzing the impact of land use changes on non-point source pollution loads by identifying critical source areas and altering the land use types that contribute heavily to pollution in these areas. The simulation results of land use type changes in these critical source areas showed that the reduction effect on non-point source pollution load is in the order of forest land > grassland > low-density residential area. To effectively curb surface source pollution in the study area, strategies such as modifying urban land use types, increasing vegetation cover and ground infiltration rate, and strictly controlling the discharge of domestic waste and sewage from urban areas can be implemented.
(© 2024. The Author(s), under exclusive licence to Springer Nature B.V.)
Databáze: MEDLINE
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