What is it about?
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 aimof 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 TRMMand ERA-Interim. The statistics and hydrograph consistency showed the capability of sources and model (PDM) to perform accordingly.
Featured Image
Why is it important?
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.
Perspectives
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 aimof 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 TRMMand 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.
Dr Muhammad ilyas Abro
Dawood University of Engineering and Technology
Read the Original
This page is a summary of: Hydrological simulation using multi-sources precipitation estimates in the Huaihe River Basin, Arabian Journal of Geosciences, August 2021, Springer Science + Business Media,
DOI: 10.1007/s12517-021-08254-1.
You can read the full text:
Contributors
The following have contributed to this page
