scholarly journals The Assessment of Green Water Based on the SWAT Model: A Case Study in the Hai River Basin, China

Water ◽  
2018 ◽  
Vol 10 (6) ◽  
pp. 798 ◽  
Author(s):  
Kui Zhu ◽  
Zibo Xie ◽  
Yong Zhao ◽  
Fan Lu ◽  
Xinyi Song ◽  
...  
Keyword(s):  
River Basin ◽  
Swat Model ◽  
Green Water ◽  
Water Based

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

Impact of climate change on the Hii River basin and salinity in Lake Shinji: a case study using the SWAT model and a regression curve

2009 ◽  
Vol 23 (13) ◽  
pp. 1887-1900 ◽  
Author(s):  
H. Somura ◽  
J. Arnold ◽  
D. Hoffman ◽  
I. Takeda ◽  
Y. Mori ◽  
...  
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Swat Model ◽  
Regression Curve ◽  
Impact Of Climate Change ◽  
Lake Shinji

Simulation of Non-Point Source Pollution Based on SWAT Model - A Case Study of Ashi River Basin

2014 ◽  
Vol 1073-1076 ◽  
pp. 1751-1755
Author(s):  
Fang Ma ◽  
Xiao Feng Jiang ◽  
Li Wang ◽  
Dan Shan ◽  
Xiong Wei Liang ◽  
...  
Keyword(s):  
River Basin ◽  
Stream Flow ◽  
Assessment Tool ◽  
Swat Model ◽  
Validation Period ◽  
Point Source Pollution ◽  
Water Assessment ◽  
Non Point Source Pollution ◽  
Soil And Water

The Soil and Water Assessment Tool (SWAT) model was examined for its applicability in modeling stream-flow and nutrients (total nitrogen, TN and total phosphorus, TP) in Ashi River Basin, China covering an area of 3545 km2. This model was calibrated by using the observed data of monthly flow during 1996-2005 and nutrients (TN and TP) during 2006-2008, and validated by using the observed data of monthly flow during 2006-2010 and water quality during 2009-2010. For stream-flow, the monthly results of RE, R2 and ENS values reached 6.42%, 0.61 and 0.59 respectively for calibration period, whereas these were-12.83%, 0.69 and 0.67, respectively for validation period; for TN calibration, values of RE, R2 and ENS were-18.33%, 0.64 and 0.55 respectively, and for validation period they were-17.34%, 0.68 and 0.57 respectively; for TP calibration, values of RE, R2 and ENS were-4.32%, 0.61 and 0.56 respectively, and for validation period they were-18.02%, 0.67 and 0.58 respectively. Results show that SWAT has applicability in modeling stream-flow and nutrients (TN and TP) in cold and flat area.

scholarly journals Interactive influence of climate variability and land-use change on blue and green water resources: a case study from the Ganjiang River Basin, China

2021 ◽  
Author(s):  
Wenting Li ◽  
Xiaoli Yang ◽  
Liliang Ren ◽  
Qianguo Lin ◽  
Xiong Zhou ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Water Resources ◽  
Land Use Change ◽  
River Basin ◽  
Swat Model ◽  
Green Water ◽  
Maximum Temperature ◽  
Blue Water ◽  
Ganjiang River Basin

Abstract The response of blue and green water to climate and land-use change in the Ganjiang River Basin (GRB) is evaluated, via the SWAT model that combines three scenarios (the land-use/land-cover (LULC), climate change, and integrated climate and LULC change scenarios) in the 2040s (2031–2050) and 2060s (2051–2070). The results indicate that, for the GRB, cropland, woodland, and grassland show a decreasing trend, while build-up and water areas show an increasing trend in terms of future land-use change. The climatic conditions projected using NORESM1-M model data under the RCP4.5 and RCP8.5 scenarios suggest, respectively, increases in precipitation (31.17 and 27.24 mm), maximum temperature (2.25 and 2.69 °C), and minimum temperature (1.96 and 2.58 °C). Under climate change conditions, blue water is estimated to decrease by up to 16.89 and 21.4 mm under RCP4.5 and RCP8.5, while green water is estimated to increase up to 19.14 and 20.22 mm, respectively. Under the LULC changes, blue water is projected to increase by up to 5.50 and 7.57 mm, while green water shows decreases of 4.05 and 7.80 mm for the LULC2035 and LULC2055 scenarios, respectively. Under the four combined LULC and climate change conditions (RCP4.5_2040s, RCP4.5_2060s, RCP8.5_2040s, and RCP8.5_2060s), blue water tends to decrease by 0.67, 7.47, 7.28, and 9.99 mm, while green water increases by 19.24, 20.8, 13.87, and 22.30 mm. The influence of climate variation on blue and green water resources is comparatively higher than that of the integrated impacts of climate and land-use changes. The results of this study offer a scientific reference for the water resources management and planning department responsible for scheduling water resource management plan in the GRB.

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