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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/15598

Title: Simulation and Forecasting of Soil Moisture Content Variability Over Ogbomoso Agricultural Watershed Using the SWAT Model
Authors: Amekudzi, Leonard Kofitse
Oladapo, O.O.,
Oni, O.M
Aremu, A.A.,
Osei, M.A
Keywords: simulations,
forecasting
Soil moisture,
SWAT model,
Watershed,
Issue Date: 2018
Publisher: The International Academic Forum
Citation: The International Academic Forum, 2018
Abstract: Soil moisture has been recognised as an essential climate and hydrological variable that controls land surface processes. In this study, the soil moisture content within the Ogbomoso watershed, Nigeria was simulated for a 34-year period using the hydrological model, Soil Water Assessment Tool (SWAT). The model was also used to predict soil moisture for a period of 20 years. The SWAT model was calibrated and validated using observed soil moisture. The calibrated SWAT model performed well for the simulation of daily soil moisture. Statistical model performance measures, coefficient of determination (R2 ) of 0.91, Nash-Sutcliffe efficiency (ENS) of 0.64 and percentage difference of (D) of 13% for calibration and 0.88, 0.84 and 8% respectively for validation indicating good performance of the model simulations. The soil moisture simulated by SWAT showed a generally decreasing trend from 1984 to 2017. The 20 year predicted soil moisture by SWAT also showed a slightly decreasing trend from 2018 to 2037 which may have negative implications for crop yield. The variability in both the simulated and predicted soil moistures generally respond to precipitation decreasing and temperature rising in the region. The results suggest that SWAT model can reasonably simulate and forecast the spatiotemporal variation of the soil moisture in the area. Therefore, the SWAT model may become a good tool to study the regional hydrological variations. The result of this study could provide essential resource information for watershed managers and aid effective decision making by water resource manager in the area.
Description: This article is available at The International Academic Forum
URI: http://hdl.handle.net/123456789/15598
Appears in Collections:College of Science

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