Rainfall Extremes: a Novel Modeling Approach for Regionalization |
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| Authors: | Muhammad Uzair Qamar Muhammad Azmat Muhammad Adnan Shahid Daniele Ganora Shakil Ahmad Muhammad Jehanzeb Masud Cheema Muhammad Abrar Faiz Abid Sarwar Muhammad Shafeeque Muhammad Imran Khan |
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| Affiliation: | 1.Faculty of Agricultural Engineering and Technology, Department of Irrigation and Drainage,University of Agriculture Faisalabad (U.A.F.),Faisalabad,Pakistan;2.Institute of Geographical Information Systems (IGIS), School of Civil and Environmental Engineering (SCEE),National University of Sciences and Technology (NUST),Islamabad,Pakistan;3.Water Management Research Center,University of Agriculture,Faisalabad,Pakistan;4.Department of Environment, Land and Infrastructure Engineering,Politecnico di Torino,Torino,Italy;5.National Institute of Civil Engineering (NICE),National University of Sciences and Technology (NUST),Islamabad,Pakistan;6.Northeast Agriculture University,Harbin,China;7.Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing,People’s Republic of China |
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| Abstract: | The rainfall events of extreme magnitude over the past few decades have caused destructive damages to lives and properties, especially in the subcontinent (e.g. Pakistan, India, Bangladesh etc). Rainfall hazard maps for these areas can be of great practical and theoretical interests. In our work, we used extreme value analysis and spatial interpolation techniques to provide such maps through a combination of the Tropical Rainfall Measuring Mission Precipitation (TRMM) 3B42 product and raingauge data. This mixed approach takes advantage of both the long time series available at a limited number of stations, and the large spatial coverage of the satellite data which, instead, has a poor temporal extent. The methodology is implemented by (1) creating a unique growth curve for the homogeneous region by utilizing in-situ rainfall data and (2) mapping the parameters of intensity-duration functions for the entire length of the study area by using TRMM 3B42 product. The regional results obtained by using mixed approach and TRMM 3B42 are compared with the estimates obtained by using in-situ data. The comparison showed that the overall output of mixed approach is more consistent with what transpired by in-situ data for a pre-defined return period. |
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