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Hydrological simulation using multi-sources precipitation estimates in the Huaihe River Basin

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Abstract

Agriculture was distrubed due to drastic changes in weather conditions. Although China significantly contributed to agricultural production, it has found in weather shocks due to extreme weather events. The main aim of the study to evaluate the multi-sources precipitation and flood on the statistical criterion. According to statistical results, Global Precipitation Measure (GPM) outperformed all sources with a higher correlation around 0.90 in all three events followed by rain gauge, Tropical Rainfall Measuring Mission (TRMM) and ERA-Interim with correlation above 0.80. It is also found that most of the sources underestimate the actual flow in event-3 which is 6% for GPM, 9% for the rain gauge, and 12% for both TRMM and ERA-Interim. The statistics and hydrograph consistency showed the capability of sources and model (PDM) to perform accordingly. This study stresses for adaptation of physical and non-physical protection measures to mitigate the sustainability, food security, and vulnerabilities caused by extreme weather events in the study area.

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Acknowledgments

The DEM, TRMM, GPM, ERA-Interim, rain gauge, and flow data used in this study were downloaded/collected from the respective sources given in the text. The authors wish to extend their sincere gratitude to all of them. We also owe our sincere thanks to the Centre for Ecology and Hydrology (Wallingford, UK) for providing the PDM model.

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Authors and Affiliations

  1. School of Hydrology and Water Resources, Nanjing University of Information Science and Technology, Nanjing, 210044, China

    Mohammad Ilyas Abro & Dehua Zhu

  2. School of Economics, Shandong University of Technology (SDUT), Zibo, 255049, Shandong, People’s Republic of China

    Ehsan Elahi

  3. Institute of Advanced Research Studies in Chemical Sciences, University of Sindh, Jamshoro, Pakistan

    Asghar Ali Majidano

  4. Department of Entomology, Sindh Agriculture University, Tando Jam, Pakistan

    Bhai Khan Solangi

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  1. Mohammad Ilyas Abro
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Correspondence to Mohammad Ilyas Abro.

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Abro, M.I., Zhu, D., Elahi, E. et al. Hydrological simulation using multi-sources precipitation estimates in the Huaihe River Basin. Arab J Geosci 14, 1912 (2021). https://doi.org/10.1007/s12517-021-08254-1

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