An improved export coefficient model to estimate non-point source phosphorus pollution risks under complex precipitation and terrain conditions

2018 ◽  
Vol 25 (21) ◽  
pp. 20946-20955 ◽  
Author(s):  
Xian Cheng ◽  
Liding Chen ◽  
Ranhao Sun ◽  
Yongcai Jing
2015 ◽  
Vol 71 (11) ◽  
pp. 1709-1717 ◽  
Author(s):  
Ruimin Liu ◽  
Guangxia Dong ◽  
Fei Xu ◽  
Xiujuan Wang ◽  
Mengchang He

In this paper, the spatial changes and trends in non-point source (NPS) total phosphorus (TP) pollution were analyzed by land and non-land uses in the Songliao River Basin from 1986 to 2000 (14 years). A grid-based export coefficient model was used in the process of analysis based on to a geographic information system. The Songliao Basin is divided in four regions: Liaoning province, Jilin province (JL), Heilongjiang province and the eastern part of the Inner Mongolia (IM) Autonomous Region. Results indicated that the NPS phosphorus load caused by land use and non-land use increased steadily from 3.11 × 104 tons in 1986 to 3.49 × 104 tons in 2000. The southeastern region of the Songliao Plain was the most important NPS pollution contributor of all the districts. Although the TP load caused by land use decreased during the studied period in the Songliao River Basin, the contribution of land use to the TP load was dominant compared to non-land uses. The NPS pollution caused by non-land use steadily increased over the studied period. The IM Autonomous Region and JL province had the largest mean annual rate of change among all districts (more than 30%). In this area, livestock and poultry breeding had become one of the most important NPS pollution sources. These areas will need close attention in the future.


Water ◽  
2016 ◽  
Vol 8 (11) ◽  
pp. 505 ◽  
Author(s):  
Zhiwei Wang ◽  
Shengtian Yang ◽  
Changsen Zhao ◽  
Juan Bai ◽  
Hezhen Lou ◽  
...  

Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 1103 ◽  
Author(s):  
Maoqing Duan ◽  
Xia Du ◽  
Wenqi Peng ◽  
Shijie Zhang ◽  
Liuqing Yan

The limitations of water quality management and assessment methods in China can be ascertained by comparison with other countries. However, it is unreasonable to use a uniform standard to evaluate water quality throughout China because one standard cannot fully account for the regional differences in background water quality. This study aimed to provide a basis for environmental water management decision-making. Areas seriously affected by background pollutants were identified by comparing several factors across 31 provinces in China. By coupling an improved export coefficient model (ECM) with a mechanistic model, a suitable pollutant yield coefficient was determined and its rationality was analysed. The export coefficient model was applied to estimate the pollutant (chemical oxygen demand and ammonia nitrogen) output of the basin in 2015. The spatial distribution characteristics of the pollutants were determined by simulating the pollutant outputs of 22 sub-basins and nine water function zones. For the year 2020, the simulation results of pollutant outputs far exceed the sewage discharge limit in water function zones and the pollutant concentration was much higher than the standard. Considering background pollutant outputs, more reasonable sewage discharge limit and water quality evaluation method are proposed.


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