SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Application of satellite-based and observed precipitation datasets for hydrological simulation in the Upper Mahi River Basin of Rajasthan, India 
Authors:Bhati, D.S., S.K. Dubey and D. Sharma 
Volume (Issue):13(14) 
Article ID:7560 
URL (non-DOI journals): 
Broad Application Category:hydrologic only 
Primary Application Category:climate data effects 
Secondary Application Category:calibration, sensitivity, and/or uncertainty analysis 
Watershed Description:16,247 km^2 Upper Mahi River, an upper portion of the larger Mahi River (34,842 km^2) drains portions of the States of Rajasthan, Madhya Pradesh, and Gujarat in west-central India. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Abstract:Hydrological modeling is an important tool used for basin management and studying the impacts of extreme events in a river basin. In streamflow simulations, precipitation plays an essential role in hydrological models. Meteorological satellite precipitation measurement techniques provide highly accurate rainfall information with high spatial and temporal resolution. In this analysis, the tropical rainfall monitoring mission (TRMM) 3B42 V7 precipitation products were employed for simulating streamflow by using the soil water assessment tool (SWAT) model. With India Metrological Department and TRMM data, the SWAT model can be used to predict streamflow discharge and identify sensitive parameters for the Mahi basin. The SWAT model was calibrated for 2 years and then independently validated for 2 years by comparing observed and simulated streamflow. A strong correlation was observed between the calibration and validation results for the Paderdibadi station, with a Nash–Sutcliffe efficiency of >0.34 and coefficient of determination (R 2 ) of >0.77. The SWAT model was used to adequately simulate the streamflow for the Upper Mahi basin with a satisfactory R 2 value. The analysis indicated that TRMM 3B42 V7 is useful in SWAT applications for predicting streamflow and performance and for sensitivity analysis. In addition, satellite data may require correction before its utilization in hydrological modeling. This study is helpful for stakeholders in monitoring and managing agricultural, climatic, and environmental change. 
Keywords:streamflow; SWAT model; TRMM; river discharge; river basin