Future runoff projections based on land change using integrated Markov-Cellular Automata model and Soil Water Assessment Tool in Lam Pachi Basin, Thailand

2021 ◽  
Vol 55 (5) ◽  
Keyword(s):  
Cellular Automata ◽  
Soil Water ◽  
Assessment Tool ◽  
Land Change ◽  
Cellular Automata Model ◽  
Soil Water Assessment Tool ◽  
Water Assessment

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

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 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

scholarly journals Uso de suelo y su efecto en el escurrimiento modelado con SWAT

2021 ◽  
Vol 12 (2) ◽  
pp. 01-34
Author(s):  
Brenda Cruz-Arévalo ◽  
◽  
Francisco Gavi-Reyes ◽  
Mario Martínez-Menez ◽  
Juan Juárez-Méndez ◽  
...  
Keyword(s):  
Soil Water ◽  
Assessment Tool ◽  
Del Rio ◽  
Soil Water Assessment Tool ◽  
Water Assessment

La importancia de los modelos de simulación para el monitoreo de los recursos naturales cada vez es mayor. El objetivo del presente estudio fue aplicar el modelo SWAT (Soil Water Assessment Tool) para evaluar el impacto del cambio de uso de suelo sobre el escurrimiento y sedimentos en la cuenca del Río Chapingo de 1999 a 2015. Se generaron dos mapas de uso de suelo mediante la fotointerpretación de imágenes Landsat y RapidEye con resoluciones de 15 y 5 m, respectivamente y recorridos de campo para verificación. Ante la falta de datos de escurrimiento confiable y reciente se utilizaron los registros mensuales de los períodos 1964-1970 y 1971-1975 para la calibración y validación del modelo. En este proceso los coeficientes de Nash-Sutcliffe fueron de 0.58 y 0.52, respectivamente. El uso de suelo de la cuenca en el período de estudio cambió: agricultura (-6.9 %) zona urbana (+2.89%), área de minería (+5.04 %) y pastizal (+7.75 %). La aplicación del SWAT calibrado y validado sólo para escurrimiento para el período 1999-2015 no detectó cambios en el escurrimiento (p = 0.2351) y sedimentos (p = 0.4430) en función del cambio de uso de suelo determinado. La correlación entre el escurrimiento y sedimentos anuales simulados con SWAT fue significativa (p = 0.0116) con un R2 bajo (0.36), atribuible a la falta de datos de campo de sedimentos para calibrar y validar el SWAT, además de la presencia de acciones de conservación de suelo y agua en la cuenca estudiada.

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