Evaluation of SWAT model performance on simulating hydrological processes in an agricultural watershed
Paper Details
Evaluation of SWAT model performance on simulating hydrological processes in an agricultural watershed
Abstract
The applicability of the Soil and Water Assessment Tool (SWAT) model has been demonstrated in many countries around the world with different goals and objectives. The intent of this study was to evaluate the performance of the SWAT model on simulating hydrological process in an agricultural watershed. The model is embedded within ArcGIS and integrated various spatial environmental data including information about soil features, land cover, weather and topographic features. The performance of the model was evaluated using the Coefficient of Determination (R2) and Nash-Sutcliffe efficiency (NSE). The daily observed streamflow data obtained from the Bureau of Research and Standards under the Department of Public Works and Highways (DPWH-BRS) were utilized for the model calibration and validation and the results were found to be acceptable and reliable. Considering the good results of the SWAT model in this study, the model is very promising for land and water management studies and expected to give valuable information to authorities, policy makers, and land and water resources managers.
Alibuyog NR. 2009. Predicting the effects of landuse change on runoff and sediment yields in selected sub-watersheds of the Manupali river using the SWAT model. International Agricultural Engineering Journal 18(1-2), 15–25.
Alibuyog NR. 2010. Predicting the impact of climate change on the watershed hydrology of the Laoag River Basin. Philippine Journal of Nature Studies 18(1-2), 15–25.
Alibuyog NR. 2015. Assessing the Impacts of Climate Change on the Watershed Hydrology of the Abra River Basin, Philippines. Final Report, Vol. 1. Formulation of Integrated River Basin Management and Development Master Plan for Abra River Basin 22-25.
Almendinger JE, Murphy MS, Ulrich JS. 2012. Use of the Soil and Water Assessment Tool to scale sediment delivery from field to watershed in an agricultural landscape with topographic depressions. Journal of Environmental Quality 43 (1), 9-17.
Arnold JG. 1998. Large area hydrologic modeling and assessment – Part I: model development. Journal of the American Water Resources Association 34(1), 73-89.
Arnold JG, Williams JR, Maidment DR. 1995. Continuous-time water and sediment routing model for large basins. Journal of Hydraulic Engineering 121(2), 171-183.
Bracmort KS. 2006. Modelling long-term water quality impact of structural BMPs. Transactions of the ASABE pp. 367-374.
Chattopadhyay S, Jha MK. 2014. Hydrological response due to projected climate variability in Haw river watershed, North Carolina. Hydrological Sciences Journal 934 .
Goswami M, O’Connor KM, Bhattari K, Shamseldin A. 2005. Assessing the performance of eight real-time updating models and procedures for the Brosna River, Hydrology and the Earth system Sciences 9(4), pp. 394 – 411.
Haverkamp BE, Morrow SL, Ponterotto JG. 2005. A time and place for qualitative and mixed methods in counselling psychology research. Journal of Counselling Psychology 52(2), p.123
DOI: 10. 1037/0022-0167.52.2.123.
Khoi DN, Suetsugi T. 2014. Impact of climate and land-use changes on hydrological processes and sediment yield – a case study of the Be River catchment, Vietnam. Hydrological Sciences Journal 59(5), 1095-1108.
Mukundan R. 2013. Suspended sediment source areas and future climate impacton soil erosion and sediment yield in a New York City water supply watershed, USA. Geomorphology 183, 110-119.
Neitsch SL. 2011. Soil and Water Assessment Tool theoretical documentation version 2009. Texas Water Resources Institute Technical Report No. 406. Texas A&M University System, College Station, Texas.
PAGASA. 2018. Observed and Projected Climate Change in the Philippines Atmospheric, Geophysical and Astronomical Services Administration, Quezon City, Philippines 36 pp.
Perazzoli M, Pinheiro A, Kaufmann V. 2013. Assessing the impact of climate change scenarios on water resources in southern Brazil. Hydrological Sciences Journal 58(1), 1-11.
Saleh A. 2000. Application of SWAT for the upper North Bosque River watershed. Transactions of the ASAE 43(5), pp. 1077-1087.
Sameh W, Al-Muqdadi, Broder J, Merkel. 2011. Automated Watershed Evaluation of Flat Terrain. Journal of Water Resource and Protection 3, 892-903. http://dx.doi.org/10.4236/jwarp.2011.312099
Santhi C, Arnold JG, Williams JR, Dugas WA, Srinivasan R, Hauck LM. 2001. Validation of the SWAT model on a large river basin with point and nonpoint sources. Journal of the American Water Resources Association 37(5), 1169-1188.
Singh V. 2013. Hydrological streamflow modeling on Tungabhadra catchment: parameterization and uncertainty analysis using SWAT CUP. Current Science 104(9), 1187-1199.
Jimson S. Ramirez, 2020. Evaluation of SWAT model performance on simulating hydrological processes in an agricultural watershed. J. Biodiv. Environ. Sci., 16(1), 83-90.
Copyright © 2020 by the Authors. This article is an open access article and distributed under the terms and conditions of the Creative Commons Attribution 4.0 (CC BY 4.0) license.