Risk Assessment Method of Non-point Source Pollution Output for Watershed Using High Resolution Data

被引：0
|
作者：
Gu J.-J. [1 ,2 ]
Ye Y.-T. [2 ]
Dong J.-P. [2 ]
Jiang Y.-Z. [1 ,2 ]
Cao Y. [2 ]
Zhao H.-L. [2 ]
机构：
[1] School of Civil Engineering, Tianjin University, Tianjin
[2] Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing
来源：
Huanjing Kexue/Environmental Science | 2022年 / 43卷 / 06期
关键词：
High-resolution data-driven; Non-point source pollution; Output risk assessment; Output risk model; Panjiakou Reservoir basin;
D O I：
10.13227/j.hjkx.202109237
中图分类号：
学科分类号：
摘要：
In recent years, non-point source pollution has become the main cause of water quality deterioration in some reservoirs in China. Taking the Panjiakou Reservoir as an example, the classical output risk model was improved by introducing a precipitation factor and terrain factor. Combined with high-resolution satellite precipitation products (GPM) and GF-6 satellite images, a high-resolution data-driven risk assessment method for non-point source pollution output was established to study the temporal and spatial distribution characteristics of non-point source pollution output risk in the Panjiakou Reservoir basin. The results showed that the non-point source pollution output risk was high in the study area in 2018. The areas with higher and highest risk of nitrogen pollution output accounted for approximately 70.6% of the total watershed area, whereas the higher risk of phosphorus pollution output accounted for approximately 21.9%. The temporal and spatial distribution characteristics of non-point source pollution output risk in the Panjiakou Reservoir basin were analyzed. It was found that the non-point source pollution output risk in the Panjiakou Reservoir basin increased first and then decreased from April to September. This was consistent with the spatial and temporal distribution of precipitation in the basin. Combined with the analysis of land use distribution characteristics, the upstream area of the basin was mainly cultivated land, whereas cities were concentrated in the downstream portion of the basin. Affected by agricultural production and human activities, the risk of non-point source pollution output was higher in these regions. In view of the temporal and spatial distribution characteristics of non-point source pollution output risk, it is necessary to formulate a reasonable agricultural fertilization method, plan the landscape layout of source-sinks, and construct vegetation buffer zones. © 2022, Science Press. All right reserved.
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页码：3140 / 3148
页数：8
相关论文
共 47 条
  • [1] Liu Z, Chao J Y, Zhang L, Et al., Current status and problems of non-point source pollution load calculation in China, Advances in Water Science, 26, 3, pp. 432-442, (2015)
  • [2] Li H L, Zhang J J, Zhang Y F, Et al., Analysis of spatial-temporal variation characteristics of potential non-point source pollution risks in the upper Beiyun River basin using different weighting methods, Environmental Science, 42, 6, pp. 2796-2809, (2021)
  • [3] Li M L, Jia M D, Sun T C, Et al., Spatiotemporal change and source apportionment of non-point source nitrogen and phosphorus pollution loads in the Three Gorges Reservoir area, Environmental Science, 42, 4, pp. 1839-1846, (2021)
  • [4] Gao X X, Zuo D P, Ma G W, Et al., Impact of spatial heterogeneity of precipitation on the area change in critical source area of non-point sources pollution, Environmental Science, 41, 10, pp. 4564-4571, (2020)
  • [5] Wang X L, Cai M Y, Zhong B Q, Et al., Research on spatial characteristic of non-point source pollution in Liaohe River basin, Environmental Science, 34, 10, pp. 3788-3796, (2013)
  • [6] Ma X, Li Y, Li B L, Et al., Evaluation of nitrogen and phosphorus loads from agricultural nonpoint source in relation to water quality in Three Gorges Reservoir area, China, Desalination and Water Treatment, 57, 44, pp. 20985-21002, (2015)
  • [7] Zou L L, Liu Y S, Wang Y S, Et al., Assessment and analysis of agricultural non-point source pollution loads in China: 1978-2017, Journal of Environmental Management, 263, (2020)
  • [8] Li Y Z, Chen H Y, Sun W C., Load estimation and source apportionment of nitrogen, phosphorus and COD in the basin of Lake Baiyang, China Environmental Science, 41, 1, pp. 366-376, (2021)
  • [9] Jia Y X, Shuai H, Han L F., Zonation on non-point source pollution risk in the lower reaches of Zijiang River based on the "source-sink" theory, Chinese Journal of Applied Ecology, 31, 10, pp. 3518-3528, (2020)
  • [10] Lei N Z, Huang D P., Research on risk assessment of agricultural non-point source pollution with GIS, Chinese Agricultural Science Bulletin, 23, 12, pp. 381-385, (2007)
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