Catchment scale modelling of point source and non-point source pollution loads using pollutant export coefficients determined from long-term in-stream monitoring data

2008 ◽  
Vol 2 (3) ◽  
pp. 134-147 ◽  
Author(s):  
S. Shrestha ◽  
F. Kazama ◽  
L.T.H. Newham ◽  
M.S. Babel ◽  
R.S. Clemente ◽  
...  
2014 ◽  
Vol 535 ◽  
pp. 394-398
Author(s):  
Hong Chen ◽  
Chun Yi Duan

This paper concern the difficulties of comprehensive improvement of small watershed pollution. There were some patterns of comprehensive improvement of small watershed pollution, which include industrial pollution, domestic pollution, non-point source polluting, and rural non-point source pollution in small watershed. We put out control measures of these pollution and long-term mechanism of mall basin pollution remediation


2021 ◽  
Vol 271 ◽  
pp. 02001
Author(s):  
Han Zhuo ◽  
Zhang Ji ◽  
Su Jialiang ◽  
Zheng Zhiyuan ◽  
Lu Shuaiyu ◽  
...  

The calculation of the total amount of pollutants entering the river is the key to the total amount control system. Since non-point source pollution has not been monitored normally and effectively, based on the principle of the balance of input and output of pollutants, the 2009-2013 Qinghe water quality monitoring data, pollution source survey data and monitoring data were used to establish a binary statistics of the total amount of pollutants model. MATLAB software is used to solve the model. The results show that the model has strong data assimilation ability, can accurately calculate the monthly COD inflow into the river, can divide the point source and non-point source pollution load, and can meet the needs of actual research.


2019 ◽  
Vol 11 (8) ◽  
pp. 2246 ◽  
Author(s):  
Xiaowen Ding ◽  
Lin Liu

With the continuous enhancement of point source pollution control, non-point source (NPS) pollution has become an important factor in the deterioration of surface water quality. Meanwhile, due to the soaring global population, long-term effects of anthropogenic factors on non-point source pollution in large river basins have increasingly attracted worldwide attention. The Yangtze river is the largest river basin of China, and protecting its ecological environment has great significance on protecting the lifeline of the entire Yangtze river. In this study, the improved output coefficient and nutrient losses empirical model were used to conduct space–time simulations of non-point source pollution in the upper reaches of the Yangtze river (URYR) based on GIS during 1960–2003. This method reveals the anthropogenic effects of non-point source pollution in the upper reaches of the Yangtze river. The results indicate that the impacts of anthropogenic factors on dissolved pollutants increased significantly, while those on sediment and adsorbed pollutants increased first and then decreased during the simulation year. Agricultural land use and atmospheric deposition, as well as rural life, were the main sources of dissolved pollutants. In addition, dry land and paddy fields were the major sources of sediment and adsorbed pollutants. For the load intensities, the long-term effects of anthropogenic factors on dissolved pollutants increased rapidly, and those on the load intensity of sediment and adsorbed pollutants increased first and then decreased. Therefore, the study would propose some corresponding environmental management measures to strengthen environmental protection and non-point source pollution control in the upper reaches of the Yangtze river.


2019 ◽  
Vol 29 (1) ◽  
pp. 763-777
Author(s):  
Hezhen Lou ◽  
Shengtian Yang ◽  
Fanghua Hao ◽  
Xiaoyu Ren ◽  
Changsen Zhao ◽  
...  

2021 ◽  
Vol 219 ◽  
pp. 369-378
Author(s):  
Jiyeon Choi ◽  
Jichul Ryu ◽  
Jinsun Kim ◽  
Jaehong Park ◽  
Dongseok Shin ◽  
...  

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