Modelling point and diffuse source pollution of nitrate in a rural lowland catchment using the SWAT model

2010 ◽  
Vol 97 (2) ◽  
pp. 317-325 ◽  
Author(s):  
Q.D. Lam ◽  
B. Schmalz ◽  
N. Fohrer
Keyword(s):  
Swat Model ◽  
Diffuse Source ◽  
Diffuse Source Pollution

DETERMINING THE EFFECTIVE WIDTH OF RIPARIAN BUFFERS IN KOREAN WATERSHEDS USING THE SWAT MODEL

2013 ◽  
Vol 12 (11) ◽  
pp. 2249-2260 ◽  
Author(s):  
Kyoung Jae Lim ◽  
Jongpil Moon ◽  
Younghun Jung ◽  
Taesoo Lee ◽  
Tai-Cheol Kim ◽  
...  
Keyword(s):  
Swat Model ◽  
Riparian Buffers ◽  
Effective Width

Parameteric Assessment of Water Use Vulnerability of South Korea using SWAT model and TOPSIS

2015 ◽  
Vol 48 (8) ◽  
pp. 647-657 ◽  
Author(s):  
Won Kwyang Jai ◽  
◽  
Sung Jang Hyun ◽  
Chung Eun-Sung
Keyword(s):  
South Korea ◽  
Water Use ◽  
Swat Model

scholarly journals Hydrologic evaluation and effects of climate change on the Nong Han Lake Basin, northeastern Thailand

2019 ◽  
Vol 11 (4) ◽  
pp. 992-1000
Author(s):  
Jirawat Supakosol ◽  
Kowit Boonrawd
Keyword(s):  
Climate Change ◽  
Assessment Tool ◽  
Swat Model ◽  
Climate Projections ◽  
Lake Basin ◽  
Model Soil ◽  
Regional Climates ◽  
Water Assessment ◽  
Effective Water ◽  
Northeastern Thailand

Abstract The purpose of this study is to investigate the future runoff into the Nong Han Lake under the effects of climate change. The hydrological model Soil and Water Assessment Tool (SWAT) has been selected for this study. The calibration and validation were performed by comparing the simulated and observed runoff from gauging station KH90 for the period 2001–2003 and 2004–2005, respectively. Future climate projections were generated by Providing Regional Climates for Impacts Studies (PRECIS) under the A2 and B2 scenarios. The SWAT model yielded good results in comparison to the baseline; moreover, the results of the PRECIS model showed that both precipitations and temperatures increased. Consequently, the amount of runoff calculated by SWAT under the A2 and B2 scenarios was higher than that for the baseline. In addition, the amount of runoff calculated considering the A2 scenario was higher than that considering the B2 scenario, due to higher average annual precipitations in the former case. The methodology and results of this study constitute key information for stakeholders, especially for the development of effective water management systems in the lake, such as designing a rule curve to cope with any future incidents.

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