Simulation of nitrogen and phosphorus loads in the Dongjiang River basin in South China using SWAT

2009 ◽  
Vol 3 (3) ◽  
pp. 273-278 ◽  
Author(s):  
Yiping Wu ◽  
Ji Chen
Author(s):  
K. Lin ◽  
W. Zhai ◽  
S. Huang ◽  
Z. Liu

Abstract. The impact of future climate change on the runoff for the Dongjiang River basin, South China, has been investigated with the Soil and Water Assessment Tool (SWAT). First, the SWAT model was applied in the three sub-basins of the Dongjiang River basin, and calibrated for the period of 1970–1975, and validated for the period of 1976–1985. Then the hydrological response under climate change and land use scenario in the next 40 years (2011–2050) was studied. The future weather data was generated by using the weather generators of SWAT, based on the trend of the observed data series (1966–2005). The results showed that under the future climate change and LUCC scenario, the annual runoff of the three sub-basins all decreased. Its impacts on annual runoff were –6.87%, –6.54%, and –18.16% for the Shuntian, Lantang, and Yuecheng sub-basins respectively, compared with the baseline period 1966–2005. The results of this study could be a reference for regional water resources management since Dongjiang River provides crucial water supplies to Guangdong Province and the District of Hong Kong in China.


2016 ◽  
Vol 24 (4) ◽  
pp. 3882-3889 ◽  
Author(s):  
Xiaowei Wu ◽  
Yan Wang ◽  
Minmin Hou ◽  
Chunling Luo ◽  
Hongxia Zhao ◽  
...  

2018 ◽  
Vol 38 ◽  
pp. 01051
Author(s):  
Qiangqiang Rong ◽  
Meirong Su ◽  
Zhifeng Yang ◽  
Yanpeng Cai ◽  
Wencong Yue ◽  
...  

In this research, a grid-based NEWS model was proposed through coupling the geographic information system (GIS) with the Global NEWS model framework. The model was then applied to the Dongjiang River basin to simulate the dissolved nutrient export from this area. The model results showed that the total amounts of the dissolved nitrogen and phosphorus exported from the Dongjiang River basin were approximately 27154.87 and 1389.33 t, respectively. 90 % of the two loads were inorganic forms (i.e. dissolved inorganic nitrogen and phosphorus, DIN and DIP). Also, the nutrient export loads did not evenly distributed in the basin. The main stream watershed of the Dongjiang River basin has the largest DIN and DIP export loads, while the largest dissolved organic nitrogen and phosphorus (DON and DOP) loads were observed in the middle and upper stream watersheds of the basin, respectively. As for the nutrient exported from each subbasin, different sources had different influences on the output of each nutrient form. For the DIN load in each subbasin, fertilization application, atmospheric deposition and biological fixation were the three main contributors, while eluviation was the most important source for DON. In terms of DIP load, fertilizer application and breeding wastewater were the main contributors, while eluviation and fertilizer application were the two main sources for DOP.


2013 ◽  
Vol 15 (11) ◽  
pp. 2142 ◽  
Author(s):  
Qian-Qian Zhang ◽  
Jian-Liang Zhao ◽  
You-Sheng Liu ◽  
Ben-Gang Li ◽  
Guang-Guo Ying

2013 ◽  
Vol 807-809 ◽  
pp. 1796-1799 ◽  
Author(s):  
Wei Wei Zhang ◽  
Hong Li

Quantifying agricultural non-point pollution load accurately and understanding contribution of the pollution sources clearly is the base how to control non-point source pollution effectively. Pollution loads from agricultural non-point source in the upper Lianghuai basin of Huairou Reservoir, including Huaisha River and Huaijiu River basin, were estimated according to export coefficient modeling. The results show that total nitrogen and total phosphorus loads in Lianghuai basin respectively are 322.52 t and 35.769 t in 2011.The total nitrogen and total phosphorus load intensities in Huaisha River basin are higher than that in Huaijiu River basin. Farmland planting including orchard and cropland, livestock and poultry breeding and rural domestic waste make a greater contribution to total nitrogen and total phosphorus loads. The study can provide scientific basis for further understanding characteristics of the nitrogen and phosphorus loads and agricultural structure adjustment.


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