Assessment of Potential Risk of Diffuse Pollution in Haihe River Basin Based Using DPeRS Model

被引:4
|
作者
Feng A.-P. [1 ]
Wang X.-L. [1 ]
Xu Y. [1 ]
Huang L. [1 ]
Wu C.-Q. [1 ]
Wang C.-Z. [1 ]
Wang H.-L. [2 ]
机构
[1] Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment, Beijing
[2] Beijing AutoAi Technology Co., Ltd., Beijing
来源
Huanjing Kexue/Environmental Science | 2020年 / 41卷 / 10期
关键词
Diffuse pollution; DPeRS model; Haihe River Basin; Remote sensing; Risk assessment;
D O I
10.13227/j.hjkx.201912077
中图分类号
学科分类号
摘要
Considering the Haihe River Basin as an example, the DPeRS model was used to analyze the spatial distribution characteristics and pollution sources of the diffuse pollution by remote sensing pixel scale. Combined with the evaluation standard of surface water quality, a potential risk grading method for diffuse pollution was constructed to assess the potential risk of diffuse pollution in Haihe River Basin. The results showed that, in 2016, the diffuse discharge loads of total nitrogen (TN), total phosphorus (TP), ammonia nitrogen (NH4+-N), and chemical oxygen demand (COD) were 429.2, 25.7, 288.3, and 1 017.0 kg•km-2, respectively, with the amount of river entry being 2.5×104 ton, 1 597.2 ton, 1.7×104 ton, and 6.6×104 ton in Haihe River Basin, respectively. Farmland runoff is the most important source of diffuse pollution of TN, TP and NH4+-N in the Haihe River Basin. For COD index, urban life is the primary type of pollution, followed by livestock. The diffuse pollution is relatively severe in the central and southern areas of Haihe River Basin, and this area is also a high-risk concentrated distribution area of diffuse pollution in the basin. The distribution of high-risk areas of nitrogen-phosphorus diffuse pollution are relatively concentrated, and the chemical oxygen demand is relatively scattered. More than 36% of the Haihe River Basin has a nitrogen-phosphorus diffuse pollution risk, and 2.94% of the area has a chemical oxygen demand diffuse pollution risk. © 2020, Science Press. All right reserved.
引用
收藏
页码:4555 / 4563
页数:8
相关论文
共 33 条
  • [1] Ouyang W, Cai G Q, Huang H B, Et al., Temporal-spatial distribution of agricultural diffuse nitrogen pollution and relationship with soil respiration and nitrification, Environmental Science, 35, 6, pp. 2411-2418, (2014)
  • [2] Ouyang W, Huang H B, Cai G Q., Temporal and spatial characteristics of diffuse phosphorus pollution in the watershed without monitoring data at Chaohu Lake, Acta Scientiae Circumstantiae, 34, 4, pp. 1024-1031, (2014)
  • [3] Peng W, Ouyang W, Hao F H, Et al., Combined impacts of precipitation and temperature on diffuse phosphorus pollution loading and critical source area identification in a freeze-thaw area, Science of the Total Environment, 553, pp. 607-616, (2016)
  • [4] Ouyang W, Yang W X, Tysklind M, Et al., Using river sediments to analyze the driving force difference for non-point source pollution dynamics between two scales of watersheds, Water Research, 139, pp. 311-320, (2018)
  • [5] Bian J Y, Wang F E, Yang J, Et al., Simulation of nitrogen and phosphorus loss in Siling Reservoir watershed with Ann AGNPS, Environmental Science, 33, 8, pp. 2659-2666, (2012)
  • [6] Xie J C, Zhao X L, He B H, Et al., Analysis of the characteristics of nitrogen and phosphorus emissions from agricultural non-point sources on Hanfeng Lake Basin, Environmental Science, 40, 4, pp. 1760-1769, (2019)
  • [7] Chang C L, Li M Y., Predictions of diffuse pollution by the HSPF model and the back-propagation neural network model, Water Environment Research, 89, 8, pp. 732-738, (2017)
  • [8] (2013)
  • [9] Liu J C, Yan Y, Liu F, Et al., Risk assessment and safety evaluation using system normative indexes integration method for non-point source pollution on watershed scale, Environmental Science, 29, 3, pp. 599-606, (2008)
  • [10] Zhang W W, Ma Y H, Lu Q, Et al., Nutrient loss from farmland: research on and application of phosphorus index method, Agricultural Science & Technology, 16, 2, pp. 262-265, (2015)