Quantitative assessment of non-point source pollution load of PN/PP based on RUSLE model: a case study in Beiluo River Basin in China

2020 ◽  
Vol 27 (27) ◽  
pp. 33975-33989 ◽  
Author(s):  
Gai-rui Hao ◽  
Jia-ke Li ◽  
Shu Li ◽  
Kang-bin Li ◽  
Zi-hang Zhang ◽  
...  
Keyword(s):  
Point Source ◽  
River Basin ◽  
Quantitative Assessment ◽  
Pollution Load ◽  
Point Source Pollution ◽  
Rusle Model ◽  
Non Point Source Pollution

scholarly journals Non-point source pollution simulation in karst region based on modified SWAT Model-A case study in Henggang River Basin

2018 ◽  
Vol 30 (6) ◽  
pp. 1560-1575 ◽  
Author(s):  
LAI Geying ◽  
◽  
YI Shukun ◽  
LIU Wei ◽  
SHENG Yinyin ◽  
...  
Keyword(s):  
Point Source ◽  
River Basin ◽  
Swat Model ◽  
Karst Region ◽  
Point Source Pollution ◽  
Non Point Source Pollution

scholarly journals An approach to evaluate non-point source pollution in an ungauged basin: a case study in Xiao'anxi River Basin, China

2020 ◽  
Vol 20 (8) ◽  
pp. 3646-3657
Author(s):  
Li Zhou ◽  
Xing Zhang ◽  
Lingxue Liu ◽  
Ting Chen ◽  
Xing Liu ◽  
...  
Keyword(s):  
Point Source ◽  
River Basin ◽  
Field Investigation ◽  
Pollution Source ◽  
Environmental Capacity ◽  
Point Source Pollution ◽  
Ungauged Basin ◽  
Water Environmental Capacity ◽  
Non Point Source Pollution

Abstract It is challenging to evaluate non-point source pollution (NPSP) quantitatively and comprehensively in a basin without gauged data. In this paper, the export coefficient model (ECM), source strength coefficient method (SSCM), and the equivalent pollution loading method (EPLM) were integrated to evaluate NPSP in the Xiao’anxi River Basin (XRB) in 2018. The results showed that NPSP is the primary pollution type in the study area for 68.1% of the total pollution load. The primary pollutant was total nitrogen (TN), which accounted for 56.16% of the total pollution. Moreover, rural residents' living sewage accounted for 48.81% of NPSP, which was the primary pollution source. The evaluation results are consistent with field investigation, which indicates that the proposed integration method is capable of NPSP assessment in an ungauged basin. In addition, the hydrological analogy method and Q–V linear fitting were used to determine the discharge and flow velocity to calculate water environmental capacity, and compare with the prediction of NPSP in the study area in 2022. It was found that the critical rehabilitation regions are Bachuan Town, Nancheng Town, and Er'ping Town. Furthermore, the primary pollutants, TN and total phosphorus (TP), exceeded the water environmental capacity by 76.67% and 48.58%, respectively.

scholarly journals Modeling Land Use Changes and their Impacts on Non-Point Source Pollution in a Southeast China Coastal Watershed

2018 ◽  
Vol 15 (8) ◽  
pp. 1593 ◽  
Author(s):  
Xin Zhang ◽  
Lin Zhou ◽  
Yuqi Liu
Keyword(s):  
Land Use ◽  
Point Source ◽  
River Basin ◽  
Landscape Metrics ◽  
Land Use Changes ◽  
Landscape Patterns ◽  
Cultivated Land ◽  
Point Source Pollution ◽  
Coastal Watershed ◽  
Non Point Source Pollution

Changes in landscape patterns in a river basin play a crucial role in the change on load of non-point source pollution. The spatial distribution of various land use types affects the transmission of non-point source pollutants on the basis of source-sink theory in landscape ecology. Jiulong River basin in southeast of China was selected as the study area in this paper. Aiming to analyze the correlation between changing landscape patterns and load of non-point source pollution in this area, traditional landscape metrics and the improved location-weighted landscape contrast index based on the minimum hydrological response unit (HRULCI) were applied in this study, in combination with remote sensing and geographic information system (GIS) technique. The results of the landscape metrics showed the enhanced fragmentation extent and the decreasing polymerization degree of the overall landscape in the watershed. High values of HRULCI were concentrated in cultivated land, while low HRULCI values mostly appeared in forestland, indicating that cultivated land substantially enhanced non-point source pollution, while forestland inhibited the pollution process.

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