The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions

By Philip Gassman, M. Reyes, Colleen H. M. Green, Jeffrey G. Arnold. 2007

2,983 citations recorded by the source corpus.

Subfields: Environmental Chemistry, Environmental Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/55ae3fe9bc885b96aaecb62a560f6a6492382d56

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Citations in the corpus

Applications of the SWAT Model Special Section: Overview and Insights. (2014, background): “The strongest results are reported for the aggregated annual and monthly time steps, which is consistent with previous statistical compilations reported by Gassman et al. (2007), DouglasMankin et al. (2010), and Tuppad et al. (2011).”
Modeling Fecal Indicator Bacteria Concentrations in Natural Surface Waters: A Review (2014, background): “A significant number of studies used the publicly available Soil and Water Assessment Tool (SWAT) (Arnold and Fohrer, 2005; Benham et al., 2006; Gassman et al., 2007; Harmel et al., 2008; Parajuli et al., 2008, 2009a, 2009b; Baffaut and Benson, 2009; Teague et al., 2009; Baffaut and Sadeghi, 2010;…”
Introduction to SWAT+, A Completely Restructured Version of the Soil and Water Assessment Tool (2017, methodology): “…transport across a wide range of spatial and temporal scales, environmental conditions, land management practices, and land use and climate change scenarios (Arnold and Fohrer, 2005; Gassman et al., 2007, 2010, 2014; Krysanova and Arnold, 2008; DouglasMankin et al., 2010; Tuppad et al., 2011).”
Sobol' sensitivity analysis of a complex environmental model (2011, background): “More details on the Soil and Water Assessment Tool can be found in (Arnold et al., 1993; Gassman et al., 2007).”
Record-setting algal bloom in Lake Erie caused by agricultural and meteorological trends consistent with expected future conditions (2013, methodology): “GLWQA (1978) Great Lakes Water Quality Agreement.”
Calibration and uncertainty analysis of the SWAT model using Genetic Algorithms and Bayesian Model Averaging (2009, background): “, 1998) has been applied world wide for assessing water resources management (Gassman et al., 2007).”
A global soil data set for earth system modeling (2014, background): “…crucial to update and expand soil databases that are specifically developed to meet the needs of various types of ecosystem modeling, such as land surface modeling [Dai et al., 2003; Oleson et al., 2004], hydrology modeling [Gassman et al., 2007], and biogeochemical modeling[Wang et al., 2009].”
Mapping and Valuing Ecosystem Services as an Approach for Conservation and Natural‐Resource Management (2009, methodology): “For example, our waterrelated service models start out with the same fundamental hydrologic processes included in models such as SWAT (Gassman et al. 2007).”
The Agricultural Policy Environmental EXtender (APEX) Model: An Emerging Tool for Landscape and Watershed Environmental Analyses (2009, methodology): “…algorithms to construct the Soil and Water Assessment Tool (SWAT) model (Williams and Arnold, 1997; Arnold et al., 1998; Arnold and Fohrer, 2005; Gassman et al., 2007; Williams et al., 2008), which essentially replaced SWRRB for watershed analyses and extended the modeling capability to large…”
Model Performance Sensitivity to Objective Function during Automated Calibrations (2012, methodology): “Soil and water assessment tool (SWAT) (Arnold et al. 1999), the simulation model used for this study, is one of the most widely used watershed simulation models in use today (Gassman et al. 2007).”
Approximating SWAT Model Using Artificial Neural Network and Support Vector Machine 1 (2009, background): “Over 250 peer-reviewed published papers have reported SWAT applications, reviews of SWAT components, or other research that includes SWAT (Gassman et al. , 2007).”