Future Scenarios for Environmental Flows in a Large Semi-Natural River Basin in Poland: A Case Study with the SWAT Model

2012 ◽  
Author(s):  
Mikolaj Piniewski ◽  
Tomasz Okruszko ◽  
Michael C Acreman
Keyword(s):  
River Basin ◽  
Environmental Flows ◽  
Swat Model ◽  
Future Scenarios

Modeling stream flow and sediment yield using the SWAT model: a case study of Ankara River basin, Turkey

2017 ◽  
Vol 39 (3) ◽  
pp. 264-289 ◽  
Author(s):  
Umit Duru ◽  
Mazdak Arabi ◽  
Ellen E. Wohl
Keyword(s):  
River Basin ◽  
Sediment Yield ◽  
Stream Flow ◽  
Swat Model

IMPLEMENTING ENVIRONMENTAL FLOWS IN COMPLEX WATER RESOURCES SYSTEMS - CASE STUDY: THE DUERO RIVER BASIN, SPAIN

2011 ◽  
Vol 29 (4) ◽  
pp. 451-468 ◽  
Author(s):  
J. Paredes-Arquiola ◽  
F. Martinez-Capel ◽  
A. Solera ◽  
V. Aguilella
Keyword(s):  
Water Resources ◽  
River Basin ◽  
Environmental Flows ◽  
Water Resources Systems

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

scholarly journals The hydrological and environmental aspect of low flow assessment in ungauged basins - a case study in the Juzna Morava river basin

2021 ◽  
Vol 19 (3) ◽  
pp. 261-278
Author(s):  
Borislava Blagojevic ◽  
Vladislava Mihailovic ◽  
Jovan Blagojevic ◽  
Dragan Radivojevic
Keyword(s):  
Statistical Analysis ◽  
River Basin ◽  
Environmental Flows ◽  
Environmental Indicators ◽  
Low Flow ◽  
Ungauged Basins ◽  
Environmental Aspect ◽  
Morava River ◽  
Morava River Basin

Eighteen low flow indicators are considered in the research of sixteen hydrological stations in the Juzna Morava river basin. The indicators are estimated by statistical analysis and grouped as hydrological and environmental indicators. A crosscorrelation between all indicators is assessed. Environmental flows at hydrologic stations are obtained by the GEP method. The environmental low flow indicators are transferred to two small ungauged basins by regression with physiographic characteristics. The adjustment of environmental flows at ungauged basins is performed according to locations of the donor stations in the hydrogeological regions of the studied area.

Critical area prioritization for river basin planning and management under future scenarios using SWAT model

2020 ◽  
Author(s):  
Ashish Pandey ◽  
Bishal Kc ◽  
Praveen Kalura ◽  
Vemuri Mutthya Chowdary
Keyword(s):  
River Basin ◽  
Swat Model ◽  
Future Climate Change ◽  
Climate Change Scenarios ◽  
Future Scenarios ◽  
Critical Area ◽  
Planning And Management ◽  
River Basin Planning ◽  
Area Prioritization ◽  
Tons River Basin

<p>Suitable and practicable best management practices (BMPs) are needed to develop effective and efficient watershed management under future climate change scenarios. Tons river basin is an agricultural-based watershed having a great significance to the States of Madhya Pradesh and Uttar Pradesh. Identification of critical erosion prone areas of the Tons River basin and implementation of BMPs for the future scenarios (2030-2050) using RCP 4.5 and RCP 8.5 scenarios is the main aim of this study. In this study, the Soil and Water Assessment Tool (SWAT) model was calibrated and validated for simulation of runoff and sediment yield using the Sequential Uncertainty Fitting (SUFI-2) technique. The values of coefficient of determination (R2), Nash–Sutcliffe efficiency (NSE), percent bias (PBIAS) and RMSE-observations standard deviation ratio (RSR) were 0.71, 0.70, -8.3 and 0.54 respectively during the calibration period whereas in validation the values were 0.72, 0.71, -3.9 and 0.56 respectively. Thus, the SWAT model can be employed in the Tons river basin of India for critical area prioritization and river basin planning and management under future scenarios.</p>

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

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.

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