Affiliation:
1. Guangxi Key Laboratory of Environmental Pollution Control Theory and Technology, College of Environmental Science and Engineering, Guilin University of Technology, Guilin 541004, China
2. Environmental Protection Bureau of Yongzhou Economic and Technological Development Zone, Yongzhou 425000, China
3. Yongzhou Hydrology and Water Resources Investigation Bureau of Hunan Province, Yongzhou 425000, China
Abstract
Abstract
Non-point source nitrogen and phosphorus pollution is a critical threat to aquatic ecosystems and a potential risk to drinking water safety. To precisely control nitrogen and phosphorus pollution in the river basin, in this study, we identified key pollution areas of the river basin, analyzed the main characteristics of pollution sources as well as their contribution to the river basin pollution, and conducted simulation analysis on reduction measures based on the SWAT model. The results showed the following. (1) The simulation effect of the calibrated model was good, and sub-basins 3, 39 and 96 were the key source areas, the main sources of pollution were combined pollution from livestock and poultry breeding and planting industry. (2) Crops had the largest input and output for both nitrogen and phosphorus, the output of which was 6,137.8 t/a and 562.4 t/a respectively. The urban point sources had the highest output rates of nitrogen and phosphorus, 75.7% and 67.5% respectively. (3) With the optimal combination of reduction measures, nitrogen and phosphorus were reduced by 1,438.9 t and 85.3 t respectively, i.e., the reduction rates were the highest. The reduction effect for total nitrogen was better than that for total phosphorus.
Funder
Guangxi Key Laboratory of Environmental Pollution Control Theory and Technology Open Fund
National Key Research and Development Project(CN)
National Natural Science Foundation of China
Natural Science Foundation of Guangxi Province
Guilin University of Technology Research Startup Fund
Subject
Water Science and Technology
Reference24 articles.
1. Analysis of temporal and spatial characteristics of nitrogen pollution in Qingshan Lake basin based on SWAT model;China Environmental Science,2015
2. Evaluating the impacts of soil data on hydrological and nonpoint source pollution prediction;Science of The Total Environment,2016
3. FAO
2017
World Fertilizer Trends and Outlook to 2020: Summary Report. Food and Agriculture Organization of the United Nations, Rome, Italy.
4. The analysis of nitrogen load and simulation uncertainty using SWAT in a catchment with paddy field in China;Water Science & Technology,2019
5. Spatiotemporal characterization of nutrient pollution source compositions in the Xiaohong River Basin, China;Ecological Indicators,2019
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献