Risk Assessment of Nonpoint Source Pollution in the Huaihe River Basin

被引:11
作者
Zhao, Huiling [1 ]
Zheng, Jiaxiao [1 ]
Zhu, Yuke [1 ]
Li, Luyi [1 ]
Cai, Xitian [1 ]
机构
[1] Sun Yat Sen Univ, Sch Civil Engn, Guangzhou 510275, Peoples R China
关键词
nonpoint source pollution; risk assessment; Huaihe River Basin; ACCIDENTAL SPILLS; WATER SCARCITY; CLIMATE-CHANGE; SOIL-EROSION; PHOSPHORUS; NITROGEN; EMISSIONS; SEDIMENT; QUALITY; SYSTEM;
D O I
10.3390/w14213505
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
After years of treatment, the water pollution situation in the Huaihe River Basin (HRB) is still grim, and agricultural nonpoint source pollution has become the leading cause of the problem. However, agricultural nonpoint source pollution in the HRB is complicated due to the compounding effects of multiple factors. In this study, we first applied the export coefficient model to estimate the total nitrogen (TN) and total phosphorus (TP) loads used as two pollution source indicators in HRB. Then we constructed an index evaluation system of nonpoint source pollution risk by coupling the two source indicators with five additional indicators: rainfall erosion, river network distribution, soil erodibility, slope length, and land use. The primary source of TN and TP loads is fertilizer application (81.96%), followed by livestock and poultry breeding (16.3%) and rural domestic wastes (1.74%). The risk assessment results indicate that 66.43% of the HRB is at medium to high risk of nonpoint source pollution, 12.37% is at high risk, and 11.20% is at low risk. Moreover, the medium-to-high-risk areas are mainly concentrated in the Henan and Anhui provinces. In contrast, the medium-risk regions are mainly distributed along the mainstream of the Huaihe River. Finally, the observed water quality categories were used to verify our findings. The controlling areas of nonpoint source pollution in HRB are identified. This study could provide a scientific basis for effectively preventing and treating water pollution in the HRB.
引用
收藏
页数:16
相关论文
共 67 条
[1]   Climate Change, Water Scarcity, and Health Adaptation in Southwestern Coastal Bangladesh [J].
Abedin, Md Anwarul ;
Collins, Andrew E. ;
Habiba, Umma ;
Shaw, Rajib .
INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE, 2019, 10 (01) :28-42
[2]   Response of Non-point Source Pollution Loads to Land Use Change under Different Precipitation Scenarios from a Future Perspective [J].
Bai, Xiaoyan ;
Shen, Wen ;
Wang, Peng ;
Chen, Xiaohong ;
He, Yanhu .
WATER RESOURCES MANAGEMENT, 2020, 34 (13) :3987-4002
[3]   Combined use of satellite image analysis, land-use statistics, and land-use-specific export coefficients to predict nutrients in drained peatland catchment [J].
Bhattacharjee, Joy ;
Marttila, Hannu ;
Launiainen, Samuli ;
Lepisto, Ahti ;
Klove, Bjorn .
SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 779
[4]  
Bingner R.L., 2003, ANNAGNPS TECHNICAL P
[6]   Reassessing the projections of the World Water Development Report [J].
Boretti, Alberto ;
Rosa, Lorenzo .
NPJ CLEAN WATER, 2019, 2 (1)
[7]  
Cai C., 2000, J. Soil Water Conserv, V14, P19, DOI [10.13870/j.cnki.stbcxb.2000.02.005, DOI 10.13870/J.CNKI.STBCXB.2000.02.005]
[8]   Influence of Lag Effect, Soil Release, And Climate Change on Watershed Anthropogenic Nitrogen Inputs and Riverine Export Dynamics [J].
Chen, Dingjiang ;
Huang, Hong ;
Hu, Minpeng ;
Dahlgren, Randy A. .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2014, 48 (10) :5683-5690
[9]   DEVELOPMENT OF EVALUATION SYSTEM OF COASTLINE RESOURCE IN DAFENG [J].
Chen Ming ;
Xu Changxin ;
Chen Hongquan .
POLISH MARITIME RESEARCH, 2017, 24 :181-187
[10]   An improved export coefficient model to estimate non-point source phosphorus pollution risks under complex precipitation and terrain conditions [J].
Cheng, Xian ;
Chen, Liding ;
Sun, Ranhao ;
Jing, Yongcai .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2018, 25 (21) :20946-20955