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Application of Satellite-Based and Observed Precipitation Datasets for Hydrological Simulation in the Upper Mahi River Basin of Rajasthan, India

Author

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  • Dinesh Singh Bhati

    (Department of Environmental Science, Central University of Rajasthan, NH-8, Bandarsindri, Kishangarh, Ajmer 305817, Rajasthan, India)

  • Swatantra Kumar Dubey

    (Department of Geology, Sikkim University, Gangtok 737102, Sikkim, India)

  • Devesh Sharma

    (Department of Atmospheric Science, School of Earth Sciences, Central University of Rajasthan, NH-8, Bandarsindri, Kishangarh, Ajmer 305817, Rajasthan, India)

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 changes.

Suggested Citation

  • Dinesh Singh Bhati & Swatantra Kumar Dubey & Devesh Sharma, 2021. "Application of Satellite-Based and Observed Precipitation Datasets for Hydrological Simulation in the Upper Mahi River Basin of Rajasthan, India," Sustainability, MDPI, vol. 13(14), pages 1-14, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7560-:d:589550
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    References listed on IDEAS

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    1. Preet Lal & Aniket Prakash & Amit Kumar, 2020. "Google Earth Engine for concurrent flood monitoring in the lower basin of Indo-Gangetic-Brahmaputra plains," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(2), pages 1947-1952, November.
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    Cited by:

    1. Muhammad Umer Nadeem & Muhammad Naveed Anjum & Arslan Afzal & Muhammad Azam & Fiaz Hussain & Muhammad Usman & Muhammad Mashood Javaid & Muhammad Ahsan Mukhtar & Faizan Majeed, 2022. "Assessment of Multi-Satellite Precipitation Products over the Himalayan Mountains of Pakistan, South Asia," Sustainability, MDPI, vol. 14(14), pages 1-24, July.
    2. Swati Maurya & Prashant K. Srivastava & Lu Zhuo & Aradhana Yaduvanshi & R. K. Mall, 2023. "Future Climate Change Impact on the Streamflow of Mahi River Basin Under Different General Circulation Model Scenarios," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(6), pages 2675-2696, May.

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