scholarly journals Sediment predictions in Wadi Al-Naft using soil water assessment tool

2018 ◽  
Vol 162 ◽  
pp. 03008 ◽  
Author(s):  
Imzahim Abdulkareem Alwan ◽  
Ibtisam Karim ◽  
Mahmood Mohamed
Keyword(s):  
Soil Water ◽  
Assessment Tool ◽  
Agricultural Research ◽  
Satellite Image ◽  
Water Model ◽  
Landsat 8 ◽  
North East ◽  
The Impact ◽  
Soil Water Assessment Tool ◽  
Water Assessment

Sediment production is the amount of sediment in the unit area that is transported through the basin by water transfer over a specified period of time. The main aim of present study is to predict sediment yield of Wadi, Al-Naft watershed with 8820 Km2area, that is located in the North-East of Diyala Governorate in Iraq, using Soil-Water Assessment Tool, (SWAT) and to predict the impact of land management and the input data including the land use, soil type, and soil texture maps which are obtained from Landsat-8 satellite image. Digital Elevation Model,(DEM) with resolution (14 14) meter is used to delineate the watershed with the aid of model. Three Land-sat images were used to cover the study area which were mosaic processed and the study area masked- up from the mosaic, image. The area of study has been registries by Arc-GIS 10.2 and digitized the soil hydrologic group through assistant of Soil Plant Assistant Water Model, (SPAW) which was progressed by USDA, Agricultural, Research Service, using the data of soil textural and organic matter from Food and Agriculture Organization (FAO), the available water content, saturated hydraulic conductivity, and bulk density. The results of average, sediment depth and the maximum upland sediment for simulation period (2010-2020) were predicted to be (1.7 mm), and (12.57 Mg/ha), respectively.

scholarly journals Accurate Simulation of Ice and Snow Runoff for the Mountainous Terrain of the Kunlun Mountains, China

2020 ◽  
Vol 12 (1) ◽  
pp. 179 ◽  
Author(s):  
Yongchao Duan ◽  
Tie Liu ◽  
Fanhao Meng ◽  
Ye Yuan ◽  
Min Luo ◽  
...  
Keyword(s):  
Soil Water ◽  
Assessment Tool ◽  
Economic Benefits ◽  
High Temporal Resolution ◽  
Ice Melt ◽  
Simulation Results ◽  
Improved Model ◽  
The Impact ◽  
Soil Water Assessment Tool ◽  
Water Assessment

While mountain runoff provides great potential for the development and life quality of downstream populations, it also frequently causes seasonal disasters. The accurate modeling of hydrological processes in mountainous areas, as well as the amount of meltwater from ice and snow, is of great significance for the local sustainable development, hydropower regulations, and disaster prevention. In this study, an improved model, the Soil Water Assessment Tool with added ice-melt module (SWATAI) was developed based on the Soil Water Assessment Tool (SWAT), a semi-distributed hydrological model, to simulate ice and snow runoff. A temperature condition used to determine precipitation types has been added in the SWATAI model, along with an elevation threshold and an accumulative daily temperature threshold for ice melt, making it more consistent with the runoff process of ice and snow. As a supplementary reference, the comparison between the normalized difference vegetation index (NDVI) and the quantity of meltwater were conducted to verify the simulation results and assess the impact of meltwater on the ecology. Through these modifications, the accuracy of the daily flow simulation results has been considerably improved, and the contribution rate of ice and snow melt to the river discharge calculated by the model increased by 18.73%. The simulation comparison of the flooding process revealed that the accuracy of the simulated peak flood value by the SWATAI was 77.65% higher than that of the SWAT, and the temporal accuracy was 82.93% higher. The correlation between the meltwater calculated by the SWATAI and the NDVI has also improved significantly. This improved model could simulate the flooding processes with high temporal resolution in alpine regions. The simulation results could provide technical support for economic benefits and reasonable reference for flood prevention.

Applying the Soil Water Assessment Tool to 5th Canadian Division Support Base Gagetown

2014 ◽  
Vol 49 (4) ◽  
pp. 372-385
Author(s):  
Shawn Burdett ◽  
Michael Hulley ◽  
Andy Smith
Keyword(s):  
Water Quality ◽  
Soil Water ◽  
Land Management ◽  
Management Practices ◽  
Assessment Tool ◽  
Anthropogenic Activities ◽  
Quality Model ◽  
Sediment Yields ◽  
Soil Water Assessment Tool ◽  
Water Assessment

A hydrologic and water quality model is sought to establish an approach to land management decisions for a Canadian Army training base. Training areas are subjected to high levels of persistent activity creating unique land cover and land-use disturbances. Deforestation, complex road networks, off-road manoeuvres, and vehicle stream crossings are among major anthropogenic activities observed to affect these landscapes. Expanding, preserving and improving the quality of these areas to host training activities for future generations is critical to maintain operational effectiveness. Inclusive to this objective is minimizing resultant environmental degradation, principally in the form of hydrologic fluctuations, excess erosion, and sedimentation of aquatic environments. Application of the Soil Water Assessment Tool (SWAT) was assessed for its ability to simulate hydrologic and water quality conditions observed in military landscapes at 5th Canadian Division Support Base (5 CDSB) Gagetown, New Brunswick. Despite some limitations, this model adequately simulated three partial years of daily watershed outflow (NSE = 0.47–0.79, R2 = 0.50–0.88) and adequately predicted suspended sediment yields during the observation periods (%d = 6–47%) for one highly disturbed sub-watershed in Gagetown. Further development of this model may help guide decisions to develop or decommission training areas, guide land management practices and prioritize select landscape mitigation efforts.

Méthodologie pour l’adaptation de données physiographiques canadiennes au modèle de qualité de l’eau SWAT « soil water assessment tool »

2008 ◽  
Vol 7 (5) ◽  
pp. 453-466 ◽  
Author(s):  
Étienne Lévesque ◽  
Luc Lamontagne ◽  
Ann Van Griensven ◽  
Peter A. Vanrolleghem ◽  
François Anctil
Keyword(s):  
Soil Water ◽  
Assessment Tool ◽  
Qualité De L’Eau ◽  
Soil Water Assessment Tool ◽  
Water Assessment

STREAMFLOW SIMULATION: COMPARISON BETWEEN SOIL WATER ASSESSMENT TOOL AND ARTIFICIAL NEURAL NETWORK MODELS

2021 ◽  
Vol 5 (2) ◽  
pp. 173-182
Author(s):  
Shehu Usman Haruna ◽  
Aliyu Kasim Abba ◽  
Rabi'u Aminu
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Soil Water ◽  
Assessment Tool ◽  
Swat Model ◽  
Coefficient Of Determination ◽  
Artificial Neural ◽  
Soil Water Assessment Tool ◽  
Water Assessment ◽  
Streamflow Simulation

The present study compared the performance of two different models for streamflow simulation namely: Soil Water Assessment Tool (SWAT) and the Artificial Neural Network (ANN). During the calibration periods, the Nash-Sutcliff (NS) and Coefficient of Determination (R2) for SWAT was 0.74 and 0.81 respectively, whereas for ANN, it was 0.99 and 0.85 respectively. The ANN performs better during the validation period as the result revealed with NS and R2 having 0.98 and 0.89 respectively, while for the SWAT model it was 0.71 and 0.74 respectively. Based on the recommended comparison of graphical and statistical evaluation performances of both models, the ANN model performed better in estimating peak flow events than the SWAT model in the Upper Betwa Basin. Furthermore, the rigorous time required and expertise for calibration of the SWAT is much less as compared with the ANN. Moreover, the results obtained from both models demonstrate the performances of the

Assessment of the performance of Soil Water Assessment Tool (SWAT) model for a small agricultural catchment in Austria

2020 ◽  
Author(s):  
Francis Kilundu Musyoka ◽  
Andreas Klik ◽  
Peter Strauss
Keyword(s):  
Soil Water ◽  
Crop Yield ◽  
Assessment Tool ◽  
Swat Model ◽  
Yield Data ◽  
Set Up ◽  
The Impact ◽  
Water Assessment ◽  
Water Contents ◽  
Soil Water Contents

<p>Hydrological models enable comprehensive examination, understanding and quantification of hydrological processes in catchments under the influence of different characteristics. The Soil and Water Assessment Tool (SWAT) has the ability to predict the impact of land management practices on water, sediment and agricultural chemical yield in such catchments.</p><p>The objective of this study is to apply the SWAT model on a small agricultural watershed, calibrate and validate it with measured flow, sediment and crop yield data. The model is set up for the HOAL catchment in Petzenkirchen, Lower Austria. The catchment has an area of 66 hectares. The climate is humid with mean annual temperatures of around 10°C, and annual precipitation of around 800 mm. Soils include Cambisols and Planosols with medium to poor infiltration capacities. Gleysols occur close to the stream. At present, 87% of the catchment area is arable land, 5% is used as pasture, 6% is forested and 2% is paved. The agricultural activities mainly involve wheat based crop rotation including winter wheat, winter barley, sweet and silage corn and canola. The catchment is divided into 37 fields and for each field exact information about tillage date and type of implement used, date of planting and harvest, date and amount of fertilization and plant protection are available. This information is incorporated in the model during set up. The procedures of model set up, sensitivity analysis, calibration and validation are outlined. A Sequential Uncertainty Fitting (SUFI-2) procedure within SWAT-CUP is used to auto-calibrate and validate the model. The model calibration (2012-2014) and validation (2015-2017) is based on the observed daily discharge and daily sediment concentration at the watershed outlet. Event based observations of runoff and sediment yield from two sub-watersheds are available as well as measured soil water contents at 30 points and crop yield data from different fields. Stream flow and sediment calibration are performed at the watershed outlet as well as at sub watershed level. Results of the SWAT model capability to predict flow, sediment and crop yield as well as soil water contents in the small watersheds will be presented.</p>

scholarly journals Application of Soil Water Assessment Tool (SWAT) to suppress wildfire at Bayam Forest, Turkey

2017 ◽  
Vol 38 (5) ◽  
pp. 719-726 ◽  
Author(s):  
M. Tufekcioglu ◽  
◽  
M. Yavuz ◽  
G. N. Zaimes ◽  
M. Dinc ◽  
...  
Keyword(s):  
Soil Water ◽  
Assessment Tool ◽  
Soil Water Assessment Tool ◽  
Water Assessment
Sign in / Sign up

Export Citation Format

Share Document