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Rainfall Extremes: a Novel Modeling Approach for Regionalization

Author

Listed:
  • Muhammad Uzair Qamar

    (University of Agriculture Faisalabad (U.A.F.))

  • Muhammad Azmat

    (National University of Sciences and Technology (NUST))

  • Muhammad Adnan Shahid

    (University of Agriculture)

  • Daniele Ganora

    (Politecnico di Torino)

  • Shakil Ahmad

    (National University of Sciences and Technology (NUST))

  • Muhammad Jehanzeb Masud Cheema

    (University of Agriculture Faisalabad (U.A.F.))

  • Muhammad Abrar Faiz

    (Northeast Agriculture University)

  • Abid Sarwar

    (University of Agriculture Faisalabad (U.A.F.))

  • Muhammad Shafeeque

    (Chinese Academy of Sciences)

  • Muhammad Imran Khan

    (Northeast Agriculture University)

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.

Suggested Citation

  • 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, 2017. "Rainfall Extremes: a Novel Modeling Approach for Regionalization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(6), pages 1975-1994, April.
    • Handle: RePEc:spr:waterr:v:31:y:2017:i:6:d:10.1007_s11269-017-1626-5
    DOI: 10.1007/s11269-017-1626-5
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    References listed on IDEAS

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    1. Fabian Barthel & Eric Neumayer, 2012. "A trend analysis of normalized insured damage from natural disasters," Climatic Change, Springer, vol. 113(2), pages 215-237, July.
    2. Barthel, Fabian & Neumayer, Eric, 2010. "Normalizing economic loss from natural disasters: a global analysis," LSE Research Online Documents on Economics 37601, London School of Economics and Political Science, LSE Library.
    3. Khaled Haddad & Ataur Rahman, 2014. "Derivation of short-duration design rainfalls using daily rainfall statistics," 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. 74(3), pages 1391-1401, December.
    4. T.A. Buishand, 1989. "Statistics of extremes in climatology," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 43(1), pages 1-30, March.
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