Relevant bibliographies by topics / Soil and Water Assessment Tool (SWAT) Model

Academic literature on the topic 'Soil and Water Assessment Tool (SWAT) Model'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Soil and Water Assessment Tool (SWAT) Model"

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Hashem, Ahmed A., Bernard A. Engel, Gary W. Marek, Jerry E. Moorhead, Dennis C. Flanagan, Mohamed Rashad, Sherif Radwan, Vincent F. Bralts, and Prasanna H. Gowda. "Evaluation of SWAT Soil Water Estimation Accuracy Using Data from Indiana, Colorado, and Texas." Transactions of the ASABE 63, no. 6 (2020): 1827–43. http://dx.doi.org/10.13031/trans.13910.

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HighlightsSWAT soil water assessment was performed using soil water measurements.Dryland SWAT model soil water content was greater than the irrigated SWAT model.Using SWAT soil water estimates for real-time (daily) irrigation management purposes with the existing SWAT soil water subroutines and available soils data is considered risky.The surface layer showed the greatest soil water variability compared to deeper layers.Abstract. Soil water content (SWC) is a challenging measurement at the field, watershed, and regional scales. Soil and Water Assessment Tool (SWAT) soil water estimates were evaluated at three locations: the St. Joseph River watershed (SJRW) in northeast Indiana, the USDA-ARS Conservation and Production Research Laboratory (CPRL) at Bushland, Texas, and the USDA-ARS Limited Irrigation Research Farm (LIFR) at Greeley, Colorado. The soil water estimates were evaluated under two scenarios: (1) for the defined soil profile, and (2) by individual layer. Each site’s soil water assessment was performed based on the existing management conditions during each experiment, whether dryland or irrigated, and for various periods depending on SWC measurement availability at each site. The SWAT soil water was evaluated as follows: the Indiana site was evaluated under dryland conditions using daily soil water observations for one year; the Texas site was evaluated for a ten-year period under irrigated and dryland conditions using weekly soil water observations from four lysimeters; and the Colorado site was evaluated under irrigated conditions for a four-year period. The simulated soil water was evaluated by comparing the model simulations with observed daily and weekly soil water measurements at the three sites. Based on the results, even though all the SWAT models were considered to perform as good models following calibration (streamflow, ET, etc.), the soil water simulations were unacceptable for the defined soil profile and for individual layers at the three sites. Deeper soil layers had observations greater than field capacity values, indicating poor soil parameterization. The dryland model had greater water content than the irrigated model, contradicting the soil water measurements. This greater soil water simulation with the dryland model is a result of SWAT model uncertainties with ET reduction under dryland conditions due to water stress. This study indicated that soil water estimation using the default SWAT soil water equations has many sources of uncertainties. Two apparent sources resulted in the SWAT model’s poor performance: (1) SWAT soil water routines that do not fully represent soil water moving between layers to meet plant demand and (2) uncertainty in soil parameterization. Keywords: Hydrologic modeling, Soil moisture, Soil moisture sensor, Soil water, Soil and Water Assessment Tool.
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Hashem, Ahmed A., Bernard A. Engel, Gary W. Marek, Jerry E. Moorhead, Dennis C. Flanagan, Mohamed Rashad, Sherif Radwan, Vincent F. Bralts, and Prasanna H. Gowda. "Evaluation of SWAT Soil Water Estimation Accuracy Using Data from Indiana, Colorado, and Texas." Transactions of the ASABE 63, no. 6 (2020): 1827–43. http://dx.doi.org/10.13031/trans13910.

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HighlightsSWAT soil water assessment was performed using soil water measurements.Dryland SWAT model soil water content was greater than the irrigated SWAT model.Using SWAT soil water estimates for real-time (daily) irrigation management purposes with the existing SWAT soil water subroutines and available soils data is considered risky.The surface layer showed the greatest soil water variability compared to deeper layers.Abstract. Soil water content (SWC) is a challenging measurement at the field, watershed, and regional scales. Soil and Water Assessment Tool (SWAT) soil water estimates were evaluated at three locations: the St. Joseph River watershed (SJRW) in northeast Indiana, the USDA-ARS Conservation and Production Research Laboratory (CPRL) at Bushland, Texas, and the USDA-ARS Limited Irrigation Research Farm (LIFR) at Greeley, Colorado. The soil water estimates were evaluated under two scenarios: (1) for the defined soil profile, and (2) by individual layer. Each site’s soil water assessment was performed based on the existing management conditions during each experiment, whether dryland or irrigated, and for various periods depending on SWC measurement availability at each site. The SWAT soil water was evaluated as follows: the Indiana site was evaluated under dryland conditions using daily soil water observations for one year; the Texas site was evaluated for a ten-year period under irrigated and dryland conditions using weekly soil water observations from four lysimeters; and the Colorado site was evaluated under irrigated conditions for a four-year period. The simulated soil water was evaluated by comparing the model simulations with observed daily and weekly soil water measurements at the three sites. Based on the results, even though all the SWAT models were considered to perform as good models following calibration (streamflow, ET, etc.), the soil water simulations were unacceptable for the defined soil profile and for individual layers at the three sites. Deeper soil layers had observations greater than field capacity values, indicating poor soil parameterization. The dryland model had greater water content than the irrigated model, contradicting the soil water measurements. This greater soil water simulation with the dryland model is a result of SWAT model uncertainties with ET reduction under dryland conditions due to water stress. This study indicated that soil water estimation using the default SWAT soil water equations has many sources of uncertainties. Two apparent sources resulted in the SWAT model’s poor performance: (1) SWAT soil water routines that do not fully represent soil water moving between layers to meet plant demand and (2) uncertainty in soil parameterization. Keywords: Hydrologic modeling, Soil moisture, Soil moisture sensor, Soil water, Soil and Water Assessment Tool.
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Haruna, Shehu Usman, Aliyu Kasim Abba, and Rabi'u Aminu. "STREAMFLOW SIMULATION: COMPARISON BETWEEN SOIL WATER ASSESSMENT TOOL AND ARTIFICIAL NEURAL NETWORK MODELS." FUDMA JOURNAL OF SCIENCES 5, no. 2 (July 10, 2021): 173–82. http://dx.doi.org/10.33003/fjs-2021-0502-638.

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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
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Wang, Yinping, Rengui Jiang, Jiancang Xie, Yong Zhao, Dongfei Yan, and Siyu Yang. "Soil and Water Assessment Tool (SWAT) Model: A Systemic Review." Journal of Coastal Research 93, sp1 (September 23, 2019): 22. http://dx.doi.org/10.2112/si93-004.1.

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Ikhwali, M. Faisi, Nanda Savira Ersa, Alfin Khairi, Wisnu Prayogo, and Wesli Wesli. "DEVELOPMENT OF SOIL & WATER ASSESSMENT TOOL APPLICATION IN KRUENG ACEH WATERSHED REVIEW." TERAS JURNAL 12, no. 1 (April 2, 2022): 191. http://dx.doi.org/10.29103/tj.v12i1.703.

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<p align="center"><strong>Abstract</strong></p><p class="11daftarpustaka"> </p><p class="11daftarpustaka">The problem of the water availability has become a global issue so that it needs a tool for water management such as the Soil and Water Assessment Tool (SWAT). This study aims to measure how far the uses and developments of the SWAT model in the Krueng Aceh watershed. This paper reviewed applications of SWAT Model in Krueng Aceh Watershed. The developments data were obtained from five publications. This study has limitations in assessing the performance of the SWAT developed in the Krueng Aceh watershed/sub-watershed because not all publications report on the calibration or validation process. From the search results, there is one modeling application that performs the calibration process with statistical parameters on a daily scale and the other three papers on monthly data. The availability of observation data has not had a long time series makes researchers face limitations in improving the model performances.</p><p class="11daftarpustaka"> </p><p class="11daftarpustaka">Keywords: <em>SWAT, Hydrological Model, Water, Soil</em></p><p class="11daftarpustaka"> </p><p class="11daftarpustaka"> </p><p align="center"><strong>Abstrak</strong></p><p class="11daftarpustaka"> </p><p class="11daftarpustaka">Masalah ketersediaan air telah menjadi isu global sehingga diperlukan suatu alat untuk pengelolaan air seperti <em>Soil and Water Assessment Tool (SWAT).</em> Penelitian ini bertujuan untuk mengukur sejauh mana pemanfaatan dan perkembangan model SWAT di DAS Krueng Aceh. Artikel ini mengulas penerapan Model SWAT di DAS Krueng Aceh. Data perkembangan diperoleh dari lima publikasi mengenai Model SWAT. Kajian ini memiliki keterbatasan dalam menilai kinerja SWAT yang dikembangkan di DAS/sub-DAS Krueng Aceh karena tidak semua publikasi melaporkan proses kalibrasi atau validasi. Dari hasil pencarian, terdapat satu aplikasi pemodelan yang melakukan proses kalibrasi dengan parameter statistik pada skala harian dan tiga aplikasi lainnya pada data bulanan. Ketersediaan data lapangan yang belum memiliki data time series yang panjang membuat peneliti menghadapi keterbatasan dalam meningkatkan perfoma model.</p><p class="11daftarpustaka"> </p><p class="11daftarpustaka">Kata Kunci: <em>SWAT, Model Hidrologi, Air, Tanah</em><em></em></p>
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van Griensven, A., L. Breuer, M. Di Luzio, V. Vandenberghe, P. Goethals, T. Meixner, J. Arnold, and R. Srinivasan. "Environmental and ecological hydroinformatics to support the implementation of the European Water Framework Directive for river basin management." Journal of Hydroinformatics 8, no. 4 (December 1, 2006): 239–52. http://dx.doi.org/10.2166/hydro.2006.010.

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Research and development in hydroinfomatics can play an important role in environmental impact assessment by integrating physically-based models, data-driven models and other Information and Communication Tools (ICT). An illustration is given in this paper describing the developments around the Soil and Water Assessment Tool (SWAT) to support the implementation of the EU Water Framework Directive. SWAT operates on the river basin scale and includes processes for the assessment of complex diffuse pollution; it is open-source software, which allows for site-specific modifications to the source and easy linkage to other hydroinformatics tools. A crucial step in the world-wide applicability of SWAT was the integration of the model into a GIS environment, allowing for a quick model set-up using digital information on terrain elevation, land use and management, soil properties and weather conditions. Model analysis tools can be integrated with SWAT to assist in the tedious tasks of model calibration, parameter optimisation, sensitivity and uncertainty analysis and allows better understanding of the model before addressing scientific and societal questions. Finally, further linkage of SWAT to ecological assessment tools, Land Use prediction tools and tools for Optimal Experimental Design shows that SWAT can play an important role in multi-disciplinary eco-environmental impact assessment studies.
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K. R. Douglas-Mankin, R. Srinivasan, and J. G. Arnold. "Soil and Water Assessment Tool (SWAT) Model: Current Developments and Applications." Transactions of the ASABE 53, no. 5 (2010): 1423–31. http://dx.doi.org/10.13031/2013.34915.

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J.P.O, Obiero, Marenya M.O, and Nkuna T. R. "HYDROLOGIC RESPONSE MODELLING IN LUTANANDWA RIVER CATCHMENT, LIMPOPO, SOUTH AFRICA, USING SOIL WATER ASSESSMENT TOOL (SWAT) MODEL." Journal of Engineering in Agriculture and the Environment 5, no. 1 (March 2, 2020): 13. http://dx.doi.org/10.37017/jeae.v5i1.40.

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Flow simulation is important in planning and design of engineering hydraulic structures. The purpose of this study is to predict flow in the Lutanandwa river catchment in the Luvuvhu river basin, Limpopo, South Africa. The input data needed for SWAT model set up included Digital Elevation Model (DEM), hydro meteorological data, land cover and soils data acquired from various institutions in South Africa. The DEM was processed from contours in the Department of Hydrology and Water Resources, University of Venda. Meteorological data was acquired from the South African Weather Service (SAWS). Observed daily stream flow data was obtained from the Department of Water Affairs and Sanitation. Land cover data was acquired from processed satellite imagery obtained from the department of Environmental Affairs and ground truthing carried out to verify the land cover information. Soils information was obtained from the Agricultural Research Council – Institute of Soil, Climate, and Water (ARC-ISCW). The soils data was obtained in the form of geo referenced land type map. Based on assessment of the data status, the period 2002 to 2014 was selected for modeling. The meteorological data processed for this period was prepared in the appropriate format for model set up. Soil water characteristic calculator was used to estimate the soil properties required as input to SWAT model. The land cover types in the study area was converted to corresponding SWAT land use types. The statistical parameters required as input to the weather generator in the SWAT model was calculated using the pcpSTAT programme which was used to compute the parameters using weather information. All input data was processed and prepared in the appropriate format for model set up. The processed input data was loaded into the Geographic Information Systems (GIS) interface of the SWAT model to enable model set up for flow simulation.
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Upadhyay, Pawan, Anna Linhoss, Chris Kelble, Steve Ashby, Naja Murphy, and Prem B. Parajuli. "Applications of the SWAT Model for Coastal Watersheds: Review and Recommendations." Journal of the ASABE 65, no. 2 (2022): 453–69. http://dx.doi.org/10.13031/ja.14848.

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HighlightsA systematic review was performed of SWAT applications in coastal watersheds.Three percent of SWAT applications have occurred in coastal watersheds.SWAT performed better at a monthly time step versus a daily time step.Nash-Sutcliffe efficiency (NSE) was the most common metric used for evaluating simulations.More research should be conducted on coupling SWAT with hydrodynamic models in tidal systems.Abstract. The Soil and Water Assessment Tool (SWAT) is a watershed to river basin scale model widely used to simulate the quality and quantity of surface water and groundwater. SWAT has been applied in a wide variety of geographical landscapes around the world. This review presents a comprehensive summary of SWAT applications for coastal watersheds. Thirty-four articles were identified as coastal applications of SWAT, which account for 3% of the total published studies using SWAT. Nash-Sutcliffe efficiency (NSE) was the most common metric used to evaluate SWAT simulations. The SWAT model calibration and validation studies in coastal watersheds reported higher NSE values for monthly flow simulation (NSE up to 0.95) than for daily flow simulation (NSE up to 0.89). Among all the studies, 34% of the reported NSE values (flow and water quality combined) were &gt;0.75. The majority (58%) of flow values were reported daily, while the majority (81%) of water quality values were reported monthly. Only two studies combined SWAT with a hydrodynamic model to account for tide-storm surge processes. SWAT may be applied more readily and successfully to coastal watersheds if a user-friendly method is developed for coupling SWAT with hydrodynamic models to simulate the tidal influence. Keywords: Bay, Coast, Estuary, Gulf, Hydrologic model, Soil and Water Assessment Tool, Water quality model, Watershed model.
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Feng, Qingyu, Indrajeet Chaubey, Raj Cibin, Bernard Engel, K. P. Sudheer, and Jeffrey Volenec. "Simulating Establishment Periods of Switchgrass and Miscanthus in the Soil and Water Assessment Tool (SWAT)." Transactions of the ASABE 60, no. 5 (2017): 1621–32. http://dx.doi.org/10.13031/trans.12227.

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Abstract. The establishment periods of switchgrass and can be a time window when evapotranspiration, surface runoff generation, and sediment and nutrients losses are quite different from when the grasses become fully established, and this period may result in environmental concerns for large-scale biomass production. The current SWAT model does not simulate the establishment periods of perennial grasses. In this study, we modified the model to simulate these periods by updating the maximum annual leaf area index (LAI) instead of using a static value in the unmodified model. The improved SWAT model provided more realistic simulations of LAI values and yields comparable to observed yields from field plots during the establishment periods of the two perennial grasses. The modification made in the present study enabled the SWAT model to be more suitable for evaluating perennial biomass grass-related scenarios. Keywords: Biomass bioenergy, Establishment period, Miscanthus, SWAT, Switchgrass.
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Dissertations / Theses on the topic "Soil and Water Assessment Tool (SWAT) Model"

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Noda, Fernanda Sousa dos Santos. "Avaliação do modelo Soil and Water Assessment tool (SWAT) na bacia hidrográfica do Ribeirão Taquaruçu." Universidade Federal do Tocantins, 2018. http://hdl.handle.net/11612/954.

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Devido ao processo de crescimento das cidades e atividade agrícolas há impactos que afetam os recursos hídricos como a escassez, degradação da qualidade de água e consequente conflitos de usos. Neste contexto, os modelos hidrológicos são importantes ferramentas para avaliar o comportamento hídrico de bacias hidrográficas, além de também poderem ser utilizados na previsão de cenários a fim de verificar o impacto do uso e ocupação do solo. Assim, o presente estudo teve como finalidade avaliar o desempenho do modelo Soil and Water Assessment Tool (SWAT) na simulação da vazão na Bacia Hidrográfica do Ribeirão Taquaruçu. A calibração automática foi realizada com o programa SWAT-CUP, em passo diário, com dados de duas estações fluviométricas da BRK Ambiental no período de abril de 2013 a julho de 2014, enquanto os dados de agosto de 2014 a agosto de 2015 foram utilizados no período de validação. A análise de sensibilidade foi realizada com 14 parâmetros selecionados entre aqueles mais significativos para a simulação de vazão em região do bioma Cerrado. Os resultados da análise de sensibilidade indicaram que os parâmetros mais influentes são o SOL_K (condutividade hidráulica saturada do solo) e CN2 (curva número para a condição II). Para avaliação do desempenho do modelo foram utilizadas as funções objetivos Nash-Sutcliffe (NSE) e o coeficiente de determinação (R2) que indicaram, no período de calibração, os seguintes valores: -0,05 e 0,55 (sub-bacia 1); 0,51 (sub-bacia 3), respectivamente. Já no período de validação foram apresentados os seguintes resultados para NSE e R2: 0,44 e 0,54 (sub-bacia 1); 0,24 e 0,29 (sub-bacia 3), nesta ordem. Considerando que o objeto de estudo é importante por ser responsável por grande parte do abastecimento de água do município de Palmas – TO e que o software não conseguiu simular de forma adequada as vazões mínimas, os resultados são considerados insatisfatórios.
Due to the process of city growth and agricultural activity there are impacts that affect water resources such as scarcity, degradation of water quality and consequent conflicts of uses. In this context, hydrological models are important tools to evaluate the hydrological behavior of watersheds, and can also be used to predict scenarios to verify the impact of land use and occupation. Thus, the present study had as purpose to evaluate the performance of the Soil and Water Assessment Tool (SWAT) model in the flow simulation in the Ribeirão Taquaruçu Watershed. The automatic calibration was performed with the SWAT-CUP program, in a daily step, with data from two BRK Ambiental fluviometric stations from April 2013 to July 2014, while data from August 2014 to August 2015 were used in the period of validation. The sensitivity analysis was performed with 14 parameters chosen considering the most significant ones for the simulation of flow in the Cerrado region. The results of the sensitivity analysis indicated that the most influential parameters are the SOL_K (saturated hydraulic conductivity of the soil) and CN2 (number curve for condition II). The Nash-Sutcliffe objective functions (NSE) and the determination coefficient (R2) were used to evaluate the performance of the model, which indicated, in the calibration period, the following values: - 0.05 and 0.55 (sub-basin 1); 0.51 (sub-basin 3), respectively. In the validation period, the following results were presented for NSE and R2: 0,44 and 0,54 (sub-basin 1); 0.24 and 0.29 (sub-basin 3), in that order. Considering that the object of study is important because it is responsible for a large part of the water supply of the municipality of Palmas – TO and that the software was not able to simulate the minimum flows adequately, the results are considered unsatisfactory.
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Parajuli, Prem B. "SWAT bacteria sub-model evaluation and application." Diss., Manhattan, Kan. : Kansas State University, 2007. http://hdl.handle.net/2097/373.

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Junior, Paulo Ponce Arroio. "Aprimoramento das rotinas e parâmetros dos processos hidrológicos do modelo computacional Soil and Water Assessment Tool - SWAT." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/18/18139/tde-25052017-084925/.

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O modelo Soil and Water Assessment Tool (SWAT) tem sido utilizado para avaliar os impactos do uso e manejo da terra nos recursos hídricos, sedimentos e agroquímicos em diversas escalas e condições ambientais em todo o mundo. Entretanto, pelo fato de ter sido desenvolvido em centros de pesquisa norte-americanos, alguns parâmetros e rotinas de simulação não refletem adequadamente determinados processos de bacias localizadas em regiões tropicais. Nesse sentido, o presente trabalho visou aprimorar a modelagem hidrológica do SWAT através da revisão e modificação de processos relacionados à simulação da evapotranspiração. Os procedimentos propostos incluíram a alteração das rotinas de dormência vegetal no código fonte do modelo e a modificação dos cronogramas de operações de manejo e parâmetros do banco de dados de crescimento das plantas, visando reproduzir com maior precisão o ciclo das culturas em bacias tropicais. As modificações foram testadas em cinco bacias localizadas no Estado de São Paulo, com áreas entre 42 e 5.959 km², sendo comparados os resultados obtidos antes e depois da implementação das mesmas. Com as alterações, a análise do balanço hídrico anual evidenciou um aumento nos valores de evapotranspiração de cerca de 61% nas bacias, aproximando-se dos totais anuais de evapotranspiração calculados através de métodos empíricos, bem como houve redução significativa do escoamento superficial. Verificou-se uma melhoria da simulação de vazão em todas as bacias, sendo obtidos valores superiores para o Coeficiente de Eficiência de Nash-Sutcliffe (NSE) quando comparados à simulação sem as alterações. A calibração e validação foram realizadas com base na simulação modificada, sendo obtidos valores de NSE mensais entre 0,71 e 0,93 na calibração e 0,53 e 0,88 na validação, enquanto os valores diários de NSE situaram-se entre 0,51 e 0,82 na calibração e 0,38 e 0,83 na validação. A calibração a partir de uma simulação na qual as distorções dos processos hidrológicos da bacia estivessem previamente minimizadas resultou em bons resultados sem alteração excessiva dos parâmetros, indicando uma simulação hidrológica de melhor consistência.
The Soil and Water Assessment Tool (SWAT) has been used to predict the impact of land management practices on water, sediment, and agricultural chemical yields in a wide range of scales and environmental conditions across the globe. However, originally developed in the United States, some parameters and routines are unrealistic for simulating in tropical watersheds. In this sense, this work aims to improve the hydrologic modeling of SWAT model by reviewing and modifying parameters and routines related to evapotranspiration process. In order to adequately represent crop growth in tropical basins, the proposed procedures included changes in dormancy routines of SWAT source code and modifications of scheduled management operations and plant growth database parameters. These modifications were tested in five different basins at São Paulo State, Brazil, with areas ranging from 42 to 5959 km², by comparing the results before and after their implementation. Annual water balance analysis showed an increase in evapotranspiration about 61% for basins, approaching the total annual evapotranspiration estimated by empirical methods. Hence, it was observed that surface runoff and base flow components showed a decrease. The modifications resulted in improved flow simulation for all basins, showing better Nash-Sutcliffe Efficiency Coefficient (NSE) values compared to the unchanged simulation. Calibration and validation processes used the modified simulation database, being achieved monthly NSE between 0.71 – 0.73 at calibration and 0.53 – 0.88 at validation, while daily NSE were 0.51 – 0.82 at calibration and 0.38 – 0.83 at validation. Overall, minimizing distortions in hydrological processes at pre-calibration step resulted in good estimations without excessive modification of parameters at calibration, attesting a consistent hydrological modeling for the basins analyzed.
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Valenzuela, Zapata Milver Alfredo. "Development of an ArcGIS interface and design of a geodatabase for the soil and water assessment tool." Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969.1/121.

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This project presents the development and design of a comprehensive interface coupled with a geodatabase (ArcGISwat 2003), for the Soil and Water Assessment Tool (SWAT). SWAT is a hydrologically distributed, lumped parameter model that runs on a continuous time step. The quantity and extensive detail of the spatial and hydrologic data, involved in the input and output, both make SWAT highly complex. A new interface, that will manage the input/output (I/O) process, is being developed using the Geodatabase object model and concepts from hydrological data models such as ArcHydro. It also incorporates uncertainty analysis on the process of modeling. This interface aims to further direct communication and integration with other hydrologic models, consequently increasing efficiency and diminishing modeling time. A case study is presented in order to demonstrate a common watershed-modeling task, which utilizes SWAT and ArcGIS-SWAT2003.
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Kujawa, Haley A. "Evaluation of uncertainty in a Maumee River Watershed Soil and Water Assessment Tool under current conditions and future climate projections." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555575109524802.

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Guedes, Junior Edvaldo [UNESP]. "Avaliação da erosão hídrica e transporte de sedimentos através do modelo hidrossedimentológico SWAT (Soil and Water Assessment Tool)." Universidade Estadual Paulista (UNESP), 2014. http://hdl.handle.net/11449/134019.

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A crescente demanda por recursos naturais promove pressões sobre o meio ambiente que colocam em risco a capacidade da natureza em renovar seus recursos. Em se tratando do solo e da água, recursos essenciais para manutenção da vida na Terra, têmse observado sua crescente deterioração provocada, sobretudo pelo aumento das áreas destinadas a suprir as demandas agrícolas, energéticas e de recursos minerais, que compõem o conjunto de insumos necessários para suprir os atuais padrões de consumo das sociedades modernas. Dentre os problemas de ordem ambiental, a aceleração dos processos erosivos constitui um dos principais agentes de degradação do meio ambiente destruindo as camadas férteis do solo. Para equacionar este problemas, modelos matemáticos de base física integrados a Sistemas de Informação Geográfica (SIG's) são uma importante ferramenta para prever os impactos provocados ao meio ambiente em função dos usos e da cobertura da superfície terreste. Neste trabalho, o modelo hidrossedimentológico SWAT (Soil and Water Assessment Tool - Arnold et all, 1998) foi aplicado em duas bacias hidrográficas homogêneas quanto as suas características climáticas e heterogêneas quanto suas composições litológicas e pedológicas tendo por objetivo a analise da atuação dos processos erosivos neste contexto. O modelo foi programado para rodar três cenários, sendo no cenário 1 programado para rodar 21 anos, no cenário 2 programado para rodar 10 anos e no cenário 1 programado para rodar pelo período de 1 ano. Os resultados mais coerentes foram aqueles apresentados no cenário 1 com uma produção de sedimentos máxima no mês de Janeiro equivalente a 28,34 t/ha na bacia do Ribeirão Monjolo Grande e 25,15 t/ha na bacia do Ribeirão Jacutinga
The demand for natural resources has promoted pressures on the environment that put's in a threat the nature's ability to renew their resources. In terms of soil and water resources of great importance for sustaining life on Earth, has been observed their deterioration growing caused mainly by the increase of areas designed to suply agricultural, energy and mineral demands, which make up the set of inputs necessary to maintain the current standards of consumption of modern societies. Among the problems related to the environment, the acceleration of erosion is one of a major environmental degradation agents destroying the fertile soil layers. To settle this problem, mathematical models of physical base integrated with Geographic Information Systems (GIS) are an important tool to predict the impacts to the environment due to the use and coverage of the Earth's surface. In this work, the hydrosedimentological model SWAT (Soil and Water Assessment Tool - Arnold et all, 1998) was applied to two homogeneous watershed as their climate and heterogeneous characteristics as its lithology and soil compositions. The objective was analyze the performance of erosive processes in this context. The model was programmed to run three scenarios. In the first scenario, the SWAT was set to run 21 years of hydrography process. In second scenario scheduled to run for 10 years and in scenario three, set by one year of process. The most consistent results were those presented in scenario 1 with a maximum production of sediments in January equivalent to 28.34 t /ha in the Ribeirão Grande Monjolo watershed and 25.15 t / ha in Ribeirão Jacutinga watershed
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GUIMARAES, C. F. "SIMULAÇÃO HIDROLÓGICA E HIDROSSEDIMENTOLÓGICA EM UMA BACIA COM RESERVATÓRIOS COM O MODELO SOIL AND WATER ASSESSMENT TOOL (SWAT)." Universidade Federal do Espírito Santo, 2016. http://repositorio.ufes.br/handle/10/9438.

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A retirada da vegetação, uso e manejo inadequado do solo podem acarretar alterações no ciclo hidrológico e, consequentemente, no ciclo hidrossedimentológico, modificando a deposição e erosão de sedimentos. Além do uso e ocupação irregular, a construção de reservatórios também modifica a dinâmica natural do rio, o que interfere também no transporte de partículas sólidas, já que forma um meio de retenção artificial, o que pode acarretar a sedimentação nestes reservatórios e na perda da qualidade da água devido ao aumento da turbidez. Com o objetivo de estimar a vazão e a produção de sedimentos em uma bacia com presença de reservatórios, analisando a influência dos reservatórios na retenção de sedimento, utilizou-se como ferramenta o modelo matemático Soil and Water Assessment Tool (SWAT). Os resultados da modelagem para o período analisado foram comparados com dados monitorados, e através da análise de sensibilidade, identificou-se os parâmetros que mais influenciavam os resultados, que por sua vez foram calibrados através do programa SWAT-CUP. Uma vez calibrado, a eficácia do programa foi avaliada estatisticamente com o Coeficiente de Eficiência de Nash-Sutcliffe (COE), Tendência Percentual (PBIAS), Erro Quadrado Médio (EQM) e o Coeficiente de Determinação (R²). Além disso, avaliou-se como a presença de reservatórios pode influenciar a modelagem do programa. A inserção de reservatórios em bacias que os contém é de extrema importância. Uma vez que influencia significativamente na vazão e na produção de sedimentos da bacia. No entanto, deve-se se atentar à inserção adequada de seus dados, uma vez que a qualidade dos dados influi na qualidade do modelo simulado. Verificou-se que a regra de operação é o parâmetro do reservatório que mais afeta na modelagem de vazão. O parâmetro relacionado à reservatório que mais afeta a produção de sedimentos é a e concentração de sedimento em equilíbrio (RES_NSED). Uma vez que a partir de sua definição pelo usuário, definirá a quantidade de sedimentos que irá sedimentar no reservatório, ou passar para as sub-bacias à sua jusante. A inserção dos reservatórios tornou a simulação da produção de sedimentos melhor, uma vez que os reservatórios serviram como forma de retenção de sedimentos.
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Guedes, Junior Edvaldo. "Avaliação da erosão hídrica e transporte de sedimentos através do modelo hidrossedimentológico SWAT (Soil and Water Assessment Tool) /." Rio Claro, 2015. http://hdl.handle.net/11449/134019.

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Orientador: Fabiano Tomazini da Conceição
Coorientador: Sérgio dos Anjos Ferreira Pinto
Banca: Alexandre Martins Fernandes
Banca: Diego de Souza Sardinha
Resumo: A crescente demanda por recursos naturais promove pressões sobre o meio ambiente que colocam em risco a capacidade da natureza em renovar seus recursos. Em se tratando do solo e da água, recursos essenciais para manutenção da vida na Terra, têmse observado sua crescente deterioração provocada, sobretudo pelo aumento das áreas destinadas a suprir as demandas agrícolas, energéticas e de recursos minerais, que compõem o conjunto de insumos necessários para suprir os atuais padrões de consumo das sociedades modernas. Dentre os problemas de ordem ambiental, a aceleração dos processos erosivos constitui um dos principais agentes de degradação do meio ambiente destruindo as camadas férteis do solo. Para equacionar este problemas, modelos matemáticos de base física integrados a Sistemas de Informação Geográfica (SIG's) são uma importante ferramenta para prever os impactos provocados ao meio ambiente em função dos usos e da cobertura da superfície terreste. Neste trabalho, o modelo hidrossedimentológico SWAT (Soil and Water Assessment Tool - Arnold et all, 1998) foi aplicado em duas bacias hidrográficas homogêneas quanto as suas características climáticas e heterogêneas quanto suas composições litológicas e pedológicas tendo por objetivo a analise da atuação dos processos erosivos neste contexto. O modelo foi programado para rodar três cenários, sendo no cenário 1 programado para rodar 21 anos, no cenário 2 programado para rodar 10 anos e no cenário 1 programado para rodar pelo período de 1 ano. Os resultados mais coerentes foram aqueles apresentados no cenário 1 com uma produção de sedimentos máxima no mês de Janeiro equivalente a 28,34 t/ha na bacia do Ribeirão Monjolo Grande e 25,15 t/ha na bacia do Ribeirão Jacutinga
Abstract: The demand for natural resources has promoted pressures on the environment that put's in a threat the nature's ability to renew their resources. In terms of soil and water resources of great importance for sustaining life on Earth, has been observed their deterioration growing caused mainly by the increase of areas designed to suply agricultural, energy and mineral demands, which make up the set of inputs necessary to maintain the current standards of consumption of modern societies. Among the problems related to the environment, the acceleration of erosion is one of a major environmental degradation agents destroying the fertile soil layers. To settle this problem, mathematical models of physical base integrated with Geographic Information Systems (GIS) are an important tool to predict the impacts to the environment due to the use and coverage of the Earth's surface. In this work, the hydrosedimentological model SWAT (Soil and Water Assessment Tool - Arnold et all, 1998) was applied to two homogeneous watershed as their climate and heterogeneous characteristics as its lithology and soil compositions. The objective was analyze the performance of erosive processes in this context. The model was programmed to run three scenarios. In the first scenario, the SWAT was set to run 21 years of hydrography process. In second scenario scheduled to run for 10 years and in scenario three, set by one year of process. The most consistent results were those presented in scenario 1 with a maximum production of sediments in January equivalent to 28.34 t /ha in the Ribeirão Grande Monjolo watershed and 25.15 t / ha in Ribeirão Jacutinga watershed
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Uzeika, Talita. "Aplicabilidade do modelo SWAT (Soil and Water Assessment Tool) na simulação da produção de sedimentos em uma pequena bacia hidrográfica rural." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2009. http://hdl.handle.net/10183/19124.

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Modelos matemáticos de predição de erosão e de produção de sedimentos apresentam um grande potencial para serem utilizados no planejamento dos recursos naturais, pois através destes é possível estimar impactos causados pelas atividades agrícolas. Com base nessa premissa, utilizou-se o modelo SWAT (Soil and Water Assessment Tool), em uma pequena bacia rural (1,19 km²) localizada no município de Arvorezinha-RS, para avaliar a sua aplicabilidade e simular a produção de sedimentos em três diferentes cenários de uso e manejo de solo (floresta, cultivo do fumo em sistema convencional e mínimo). A aplicabilidade do modelo foi avaliada através da comparação dos resultados hidrológicos e sedimentológicos simulados pelo modelo, sem utilização da calibração, com valores observados obtidos para uma série de dados de cinco anos de monitoramento hidrossedimentológico (2002-2006). Resultados referentes à aplicabilidade do modelo através da simulação do escoamento superficial para a escala de tempo diário não foram satisfatórios, enquanto que valores mensais e anuais foram mais adequados. Para a vazão líquida, da mesma forma que para o escoamento superficial, as melhores simulações foram verificadas também para vazões mensais e anuais. Já a produção de sedimentos os resultados não foram satisfatórios, tanto para simulações diárias como mensais e anuais. Possíveis razões que explicam os resultados da produção de sedimentos estão relacionados com limitações tanto da equação que simula o aporte de sedimentos (MUSLE), como do equacionamento da propagação dos sedimentos no canal. Os resultados das simulações hidrológicas para diferentes cenários mostraram não haver diferença para o escoamento superficial entre os sistemas convencional e o cultivo mínimo. Em relação à erosão, verificou-se que o cultivo mínimo foi capaz de reduzir em 30% a produção de sedimentos quando comparado com o sistema convencional.
Mathematical models to predict erosion and sediment yield have great potential for use in natural resource planning, as they enable the user to estimate impacts caused by agricultural activities. Based on this premise, the SWAT model (Soil and Water Assessment Tool) was applied in a small rural catchment (1,19 km²) in Arvorezinha - RS, in Southern Brazil, to evaluate its applicability and to estimate sediment yield under three different soil management scenarios: forest, conventional tillage with tobacco, and minimum tillage with tobacco. The applicability of the model was evaluated by comparing hydrologic and sediment results simulated by the uncalibrated model with observed values obtained over the course of five years (2002-2006) monitoring program. Applicability results for the model based on simulating surface runoff were unacceptable for the daily time scale, although results for monthly and annual time scales were better. This was also true for flow rate, with better simulations on the monthly and annual time scales. However for sediment yield simulations, the SWAT model did not present satisfactory results over any time frame. This may be related to limitations in the equation that simulates sediment load (MUSLE) or to the equivalency of sediment propagation in the canal. Hydrologic simulations for the different soil management scenarios did not show differences in surface runoff between conventional and minimum tillage, although the minimum tillage was shown to reduce sediment yield by 30% when compared with conventional tillage.
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TESCH, F. "Avaliação da calibração do modelo Soil and Water Assessment Tool (SWAT) para a simulação de estradas não pavimentadas em bacias hidrográficas." Universidade Federal do Espírito Santo, 2015. http://repositorio.ufes.br/handle/10/10310.

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A resolução de problemas relacionados aos recursos hídricos tem sido baseada em modelos matemáticos, na maioria das vezes, utilizados como ferramentas de planejamento integrado de recursos naturais. Neste contexto, o modelo Soil and Water Assessment Tool SWAT tem sido aplicado a diversas bacias hidrográficas que necessitam da resoluçao de problemas que integram qualidade e quantidade de água com o manejo do uso e ocupação do solo. No Brasil e no Estado do Espírito Santo um dos maiores problemas relacionados à poluição difusa em bacias hidrográficas rurais são as estradas não pavimentadas. O modelo SWAT têm sido amplamente difundido e pesquisado no Brasil, sendo amplamente utilizado pelas universidades brasileiras, para a modelagem da quantidade e da qualidade da água, bem como para planejar o uso, ocupação e manejo do solo. Considerando, que o manejo de estradas não pavimentas deve ser inserido na pauta do manejo do uso e ocupação do solo, o presente projeto dedicou-se a avaliar a calibração do modelo SWAT para a simulação de estradas não pavimentadas em bacias hidrográficas. Foi escolhida como área de estudo a subbacia hidrográfica do Rio Perdido, afluente direto do Rio Santa Maria do Doce. O modelo SWAT foi aplicado em dois cenários: o primeiro cenário desconsiderou a existência de estradas não pavimentadas na bacia; o segundo cenário, por sua vez, considerou a existência das estradas não pavimentadas como parte do uso e ocupação do solo da bacia hidrográfica. Os cenários modelados foram calibrados a partir do software de calibração SWAT- CUP. Os resultados da calibração indicaram que o Cenário 1 apresentou desempenho muito superior ao Cenário 2, principalmente tratando-se da sedimentologia. Verificou-se que, de modo geral, tanto o Cenário 1 como o Cenário 2 apresentaram desempenho ruim para a simulação de vazões de pequena magnitude. O modelo apresentou melhor desempenho de calibração para vazões com maior frequência ao longo do período monitorado. Por fim, a simulação de estradas não pavimentadas em bacias hidrográficas pelo modelo SWAT exige um maior empenho no monitoramento e realização de ensaios para a cacterização física das condições hidrológicas das estradas, facilitando a definição dos parâmetros requeridos pelo modelo.
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Books on the topic "Soil and Water Assessment Tool (SWAT) Model"

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Asquith, William H. Linkage of the Soil and Water Assessment Tool and the Texas Water Availability Model to simulate the effects of brush management on monthly storage of Canyon Lake, south-central Texas, 1995-2010. Reston, Virginia: U.S. Geological Survey, 2014.

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Book chapters on the topic "Soil and Water Assessment Tool (SWAT) Model"

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Oladapo, Olukunle Olaonipekun, Leonard Kofitse Amekudzi, Olatunde Micheal Oni, Abraham Adewale Aremu, and Marian Amoakowaah Osei. "Climate Change Impact on Soil Moisture Variability: Health Effects of Radon Flux Density Within Ogbomoso, Nigeria." In African Handbook of Climate Change Adaptation, 437–52. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_201.

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AbstractClimate affects the quantity of soil moisture within the surface of the earth and this is obtained by affecting the amount of radon flux density escaping from the land surface. This chapter contains the evaluation of climate change conditions as it affects the variability of soil water for the purpose of estimating the health effects of radon flux density within Ogbomoso metropolis. The simulated soil moisture content around Ogbomoso was done for a period of 34 years using the hydrological model, Soil Water Assessment Tool (SWAT). The calibration and validation of the SWAT model was done using the daily observed soil moisture content. The simulated daily soil moisture within Ogbomoso showed good performance when calibrated and validated. A 20 years prediction of the daily soil moisture content was done using the SWAT model. The estimation of the radon flux density for the study area was obtained using the simulated soil temperature and soil moisture from the SWAT model. In this chapter, the UNSCEAR radon flux formula was used for the radon flux estimate. The result showed that the UNSCEAR radon flux formula performed well in estimating the radon flux density in the study area. The mean value of the radon flux density of 15.09 mBqm−2 s−1 falls below the estimated world average of 33 mBqm−2 s−1 by UNSCEAR stipulated for land surface. The results showed that Ogbomoso region is not prone to high risk of radon exposure to the public. The estimation of the radon flux density value suggested that there is no radiological health hazard such as lung cancer or any other respiratory tract diseases to the inhabitant of Ogbomoso, Nigeria.
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Shekhar, Shashi, and Hui Xiong. "Soil and Water Assessment Tool “SWAT”." In Encyclopedia of GIS, 1068. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1231.

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Mehmood, Atif, Mukhtar Ahmed, Fayyaz-ul-Hassan, Muhammad Akmal, and Obaid ur Rehman. "Soil and Water Assessment Tool (SWAT) for Rainfed Wheat Water Productivity." In Quantification of Climate Variability, Adaptation and Mitigation for Agricultural Sustainability, 137–63. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32059-5_7.

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Omran, El-Sayed Ewis. "Hydrological Simulation of a Rainfed Agricultural Watershed Using the Soil and Water Assessment Tool (SWAT)." In The Handbook of Environmental Chemistry, 317–47. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/698_2018_338.

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"Phosphorus Modeling in Soil and Water Assessment Tool (SWAT) Model." In Modeling Phosphorus in the Environment, 175–200. CRC Press, 2006. http://dx.doi.org/10.1201/9781420005417-14.

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Green, C., K. Migliaccio, Indrajeet Chaubey, R. Srinivasan, and J. Arnold. "Phosphorus Modeling in Soil and Water Assessment Tool (SWAT) Model." In Modeling Phosphorus in the Environment, 163–87. CRC Press, 2006. http://dx.doi.org/10.1201/9781420005417.sec2.

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Glavan, Matja, and Marina Pintar. "Strengths, Weaknesses, Opportunities and Threats of Catchment Modelling with Soil and Water Assessment Tool (SWAT) Model." In Water Resources Management and Modeling. InTech, 2012. http://dx.doi.org/10.5772/34539.

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Alarcon, Vladimir J., Joseph D. Nigro, William H. McAnally, Charles G. O’Hara, Edwin T. Engman, and David Toll. "Assessment of NASA’s Physiographic and Meteorological Datasets as Input to HSPF and SWAT Hydrological Models." In Geographic Information Analysis for Sustainable Development and Economic Planning, 1–19. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-1924-1.ch001.

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This chapter documents the use of simulated Moderate Resolution Imaging Spectroradiometer land use/land cover (MODIS 12 Q1), NASA-LIS generated precipitation and evapo-transpiration (ET), and Shuttle Radar Topography Mission (SRTM) datasets (in conjunction with standard land use, topographical and meteorological datasets) as input to hydrological models routinely used by the watershed hydrology modeling community. The study is focused in coastal watersheds in the Mississippi Gulf Coast, although one of the test cases focuses in an inland watershed located in northeastern Mississippi, USA. The decision support tools (DSTs) into which the NASA datasets were assimilated were the Soil Water & Assessment Tool (SWAT) and the Hydrological Simulation Program Fortran (HSPF). These DSTs are endorsed by several US government agencies (EPA, FEMA, USGS) for water resources management strategies. These models use physiographic and meteorological data extensively. Precipitation gages and USGS gage stations in the region were used to calibrate several HSPF and SWAT model applications. Land use and topographical datasets were swapped to assess model output sensitivities. NASA-LIS meteorological data were introduced in the calibrated model applications for simulation of watershed hydrology for a time period in which no weather data were available (1997-2006). The performance of the NASA datasets in the context of hydrological modeling was assessed through comparison of measured and model-simulated hydrographs. Overall, NASA datasets were as useful as standard land use, topographical, and meteorological datasets. Moreover, NASA datasets were used for performing analyses that the standard datasets could not made possible, e.g., introduction of land use dynamics into hydrological simulations.
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Curk, Miha, and Matjaž Glavan. "Perspectives of Hydrologic Modeling in Agricultural Research." In Hydrology. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.95179.

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For decades agricultural research was done in the field or laboratories, but with the rise of computer science, hydrologic modeling became another essential tool for environmental impact studies. Many types of models can be used, each with its strengths and weaknesses in terms of accuracy, speed, and amount of input data needed. Models can be used on different scales and simulate very different processes. Based on a literature review, APEX (Agricultural Policy Extender) and SWAT (Soil and Water Assessment Tool) models are the most popular for environmental research in agronomy. An important share of modeling work in agronomic studies is focused on pollution research, mainly nutrient and pesticide leaching and soil erosion processes. Other topics include simulating the effects of irrigation and other agricultural practices and studying the impact of extreme weather events and climate change. When working with model results, it is crucial to be mindful of inevitable uncertainties and consider them during interpretation. Modeling is gaining importance in agronomic research in Slovenia, with many studies done in the recent decade and more underway.
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Feyissa Negewo, Tufa, and Arup Kumar Sarma. "Evaluation of Climate Change-Induced Impact on Streamflow and Sediment Yield of Genale Watershed, Ethiopia." In Global Warming and Climate Change [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98515.

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In the 21st century, changes in induced climate can significantly affect the water resources system in the watershed. Understanding climate change disrupts hydrological processes can facilitate sustainable water resource strategies to resilient impacts of global warming. The hydrological response of watersheds will be accelerated by climate change, altering the rainfall, magnitude & timing of runoff, and sediment yield. The study investigates climate change aspects on the hydrological responses using Soil and Water Assessment Tool (SWAT) model interfaced with Geographical Information System (GIS) of Genale Basin, Ethiopia. The calibrated SWAT was applied to simulate the impact of climate, and the SUFI-II algorithm was used for parameter optimization & finalization. The change of climate scenarios was built using the outcomes bias-corrected CORDEX RCM daily precipitation, min/max temperature for Ethiopia under RCP 4.5 and RCP 8.5. The average monthly change of streamflow from −16.47% to 6.58% and − 3.6% to 8.27% under RCP4.5 and RCP8.5, respectively (2022–2080). The monthly average sediment yield change was −21.8% to 6.2% and − 5.6% to 4.66% for the RCP4.5 and RCP8.5 scenarios, respectively, over 2022–2080. It implies that the climate change-induced impacts on sediment yield are more significant than streamflow and suggest substantial adaptive management in watershed systems.
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Conference papers on the topic "Soil and Water Assessment Tool (SWAT) Model"

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Kumar, Sanjiv, and Venkatesh Merwade. "Studying Effects of Spatial Scale on Model Calibration Using Soil Water Assessment Tool (SWAT)." In World Environmental and Water Resources Congress 2008. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40976(316)381.

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"Quantifying impacts of agro-industrial expansion in Mato Grosso, Brazil, on watershed hydrology using the Soil and Water Assessment Tool (SWAT) model." In 20th International Congress on Modelling and Simulation (MODSIM2013). Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2013. http://dx.doi.org/10.36334/modsim.2013.h12.guzha.

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MARA REIS FREIRE, POLIANA, Teresa Cristina Tarlé Pissarra, and Marcílio Vieira Martins Filho. "MODELO HIDROLÓGICO SWAT (SOIL AND WATER ASSESSMENT TOOL) PARA ANÁLISE RELAÇÃO SOLO-PAISAGEM NA MICROBACIA HIDROGRÁFICA DO CÓRREGO SECO (SP)." In IV CONGRESSO INTERNACIONAL DE CIÊNCIAS AGRÁRIAS. Instintuto internacional Despertando Vocações, 2019. http://dx.doi.org/10.31692/2526-7701.ivcointerpdvagro.2019.0015.

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Leão, Bernardo Ramos Carneiro, Glauco Zely da Silva Eger, and Gerson Cardoso da Silva Junior. "Aplicação do Modelo SWAT (Soil and Water Assessment Tool) na Estimativa de Recarga do Sistema Aquífero Urucuia na região Oeste da Bahia." In Anais da Jornada Giulio Massarani de Iniciação Científica, Tecnológica, Artística e Cultural. Recife, Brasil: Even3, 2021. http://dx.doi.org/10.29327/131086.1-36.

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Korman, Laura B., Eric J. Wagner, Eric J. Wagner, Steven T. Goldsmith, Steven T. Goldsmith, Lisa J. Rodrigues, and Lisa J. Rodrigues. "USING THE SOIL AND WATER ASSESSMENT TOOL (SWAT) TO MODEL DRY AND WET SEASON SEDIMENT YIELDS TO CORAL REEFS IN THE LOWER RIO LOCO WATERSHED." In GSA Annual Meeting in Seattle, Washington, USA - 2017. Geological Society of America, 2017. http://dx.doi.org/10.1130/abs/2017am-303919.

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King, Meghan, and Ben K. Odhiambo. "APPLICATION OF SOIL AND WATER ASSESSMENT TOOL (SWAT) TO MODEL THE IMPACT OF PROGRESSIVE LAND-USE CHANGES ON SEDIMENT AND NUTRIENT FLUXES IN RIVANNA RIVER BASIN, VIRGINIA, USA." In Joint 52nd Northeastern Annual Section and 51st North-Central Annual GSA Section Meeting - 2017. Geological Society of America, 2017. http://dx.doi.org/10.1130/abs/2017ne-290646.

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Olivera, Francisco, Milver Valenzuela, and Raghavan Srinivasan. "ArcGIS-SWAT: A GIS Interface for the Soil and Water Assessment Tool (SWAT)." In World Water and Environmental Resources Congress 2004. Reston, VA: American Society of Civil Engineers, 2004. http://dx.doi.org/10.1061/40737(2004)203.

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Manuel R. Reyes. "Soil and Water Assessment Tool (SWAT) Instruction and Research at North Carolina A&T State University." In 2004, Ottawa, Canada August 1 - 4, 2004. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2004. http://dx.doi.org/10.13031/2013.17666.

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Daniel Brasil Pinto, Antônio Marciano Silva, Carlos Rogério Mello, Samuel Beskow, and Gilberto Coelho. "Application of the Soil and Water Assessment Tool (SWAT) for sediment transport simulation at a headwater watershed in Minas Gerais State, Brazil." In International Symposium on Erosion and Landscape Evolution (ISELE), 18-21 September 2011, Anchorage, Alaska. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2011. http://dx.doi.org/10.13031/2013.39200.

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G.V. Wilson, S.M. Dabney, K.C. McGregor, and B.D. Barkoll. "Application of Soil and Water Assessment Tool (SWAT) to Landscapes with Tiles and Potholes. Part II. Validation of New Procedures. Case of Walnut." In 2003, Las Vegas, NV July 27-30, 2003. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2003. http://dx.doi.org/10.13031/2013.14026.

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