Assessment of soil erosion risk using SWAT model

Mosbahi, Manel; Benabdallah, Sihem; Boussema, Mohamed Rached

doi:10.1007/s12517-012-0658-7

Cited by 61 publications

(37 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This demonstrates the complexity of scale matching for better model performance when combining high-resolution topographical data with the numerical model. The results are similar to those of other studies [35][36][37][38].…”

Section: Vertical Profilessupporting

confidence: 92%

Sensitivity Study on High-Resolution Numerical Modeling of Static Topographic Data

Jee

Kim

2016

Atmosphere

View full text Add to dashboard Cite

Both research-grade and operational numerical weather prediction models perform simulations with horizontal grid spacings as fine as 1 km, and their multi-scale terrain data have become increasingly important for high-resolution model forecasting. This study focused on the influence of multi-scale surface databases of topographical height and land use on the modeling of atmospheric circulation in a megacity. The default data were the global 30S United States Geographic Survey terrain data set and Moderate Resolution Imaging Spectroradiometer land-use data. The capacity for topographical expression under the combined scale effect was evaluated against observational data. The experiments showed that surface input data using finer resolutions for the Weather Research and Forecasting model with 1-km resolution gave better topographical expression and meteorological reproduction in a megacity and agreed with observational data in the fields of temperature and relative humidity, but precipitation values were not sensitive to the surface input data when verified against a suite of observational data including, but not limited to, ground-based instruments. The results indicated that the use of high-resolution databases improved the local atmospheric circulation in a megacity and that a fine-scale model was sensitive to the resolution of the surface input data whereas a coarse-scale model was less sensitive to it.

show abstract

Section: Vertical Profilessupporting

confidence: 92%

Sensitivity Study on High-Resolution Numerical Modeling of Static Topographic Data

Jee

Kim

2016

Atmosphere

View full text Add to dashboard Cite

show abstract

“…Soil and Water Assessment Tool (SWAT) is a watershed-scale and physically based distributed hydrological model [40][41][42] that was developed by the United States Department of Agricultural Research Service (USDA-ARS, 1994) to simulate the impact of land management practices on hydrology and water quality under complex watersheds with heterogeneous soil and land use conditions. In recent decades, it has been widely used for water cycle simulation and water resources management, especially for the analysis of streamflow variation under climate change and LUCC [43,44].…”

Section: Swat Model Combined With a Separation Strategymentioning

confidence: 99%

Impacts of Climate and Land Use/Cover Change on Streamflow Using SWAT and a Separation Method for the Xiying River Basin in Northwestern China

Guo

Singh

et al. 2016

Water

View full text Add to dashboard Cite

Abstract:A better understanding of the effects of climate change and land use/cover change (LUCC) on streamflow promotes the long-term water planning and management in the arid regions of northwestern China. In this paper, the Soil and Water Assessment Tool (SWAT) and a separation approach were used to evaluate and separate the effects of climate change and LUCC on streamflow in the Xiying River basin. The SWAT model was calibrated by the hydro-meteorological data from 1980-1989 to obtain the optimum parameters, which were validated by the subsequent application to the period between 1990-2008. Moreover, streamflow under several scenarios with different climate change and land use conditions in 1990-2008 and 2010-2069 were further investigated. Results indicate that, in the period of 1990-2008, the streamflow was dominated by climate change (i.e., changes in precipitation and temperature), which led to a 102.8% increase in the mean annual streamflow, whereas LUCC produced a decrease of 2.8%. Furthermore, in the future period of 2010-2039, the mean annual streamflow will decrease by 5.4% and 4.5% compared with the data of 1961-1990 under scenarios A2 and B2, respectively, while it will decrease by 21.2% and 16.9% in the period of 2040-2069, respectively.

show abstract

“…SWAT can simulate climate change impacts on plant growth, stream flow and other responses by taking into account the effect of atmospheric CO 2 concentration on plant development and transpiration [20,21]. In addition, various researchers have worked on SWAT to simulate various processes like erosion [22], sediment transport [23], and land use change [24]. In SWAT, the entire watershed is sub divided into sub basins and further into smaller units known as Hydrological Response Units (HRUs) which are based on a unique combination of soil, slope, and land use properties.…”

Section: Swat (Soil Water Assessment Tool) Modelmentioning

confidence: 99%

Climate Change Impacts on the Hydrological Processes of a Small Agricultural Watershed

Mehan

Kannan

Neupane

et al. 2016

Climate

View full text Add to dashboard Cite

Abstract:Weather extremes and climate variability directly impact the hydrological cycle influencing agricultural productivity. The issues related to climate change are of prime concern for every nation as its implications are posing negative impacts on society. In this study, we used three climate change scenarios to simulate the impact on local hydrology of a small agricultural watershed. The three emission scenarios from the Special Report on Emission Scenarios, of the Intergovernmental Panel on Climate Change (IPCC) 2007 analyzed in this study were A2 (high emission), A1B (medium emission), and B1 (low emission). A process based hydrologic model SWAT (Soil and Water Assessment Tool) was calibrated and validated for the Skunk Creek Watershed located in eastern South Dakota. The model performance coefficients revealed a strong correlation between simulated and observed stream flow at both monthly and daily time step. The Nash Sutcliffe Efficiency for monthly model performace was 0.87 for the calibration period and 0.76 for validation period. The future climate scenarios were built for the mid-21st century time period ranging from 2046 to 2065. The future climate data analysis showed an increase in temperatures between 2.2 • C to 3.3 • C and a decrease in precipitation from 1.8% to 4.5% expected under three different climate change scenarios. A sharp decline in stream flow (95.92%-96.32%), run-off (83.46%-87.00%), total water yield (90.67%-91.60%), soil water storage (89.99%-92.47%), and seasonal snow melt (37.64%-43.06%) are predicted to occur by the mid-21st century. In addition, an increase in evapotranspirative losses (2%-3%) is expected to occur within the watershed when compared with the baseline period. Overall, these results indicate that the watershed is highly susceptible to hydrological and agricultural drought due to limited water availability. These results are limited to the available climate projections, and future refinement in projected climatic change data, at a finer regional scale would provide greater clarity. Nevertheless, models like SWAT are excellent means to test best management practices to mitigate the projected dry conditions in small agricultural waterhseds.

show abstract

Assessment of soil erosion risk using SWAT model

Cited by 61 publications

References 23 publications

Sensitivity Study on High-Resolution Numerical Modeling of Static Topographic Data

Sensitivity Study on High-Resolution Numerical Modeling of Static Topographic Data

Impacts of Climate and Land Use/Cover Change on Streamflow Using SWAT and a Separation Method for the Xiying River Basin in Northwestern China

Climate Change Impacts on the Hydrological Processes of a Small Agricultural Watershed

Contact Info

Product

Resources

About