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Derivation of short-duration design rainfalls using daily rainfall statistics

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  • Khaled Haddad
  • Ataur Rahman

Abstract

Design rainfall intensity–frequency–duration data are a basic input to many water-related development projects. To derive design rainfalls, one needs long period of recorded rainfall data. Although daily rainfall data are generally widely available, short-duration rainfall data are scarce. For many urban applications, design rainfalls for much shorter durations are needed, which cannot be obtained directly from daily read rainfall data. This paper presents a simple approach that can be adopted to derive design rainfalls of short durations using daily rainfall data and other physio-climatic characteristics using a novel ‘index frequency combined with parameter regression technique’. This uses L moments to reduce the impacts of sampling variability in the analysis. Furthermore, this adopts generalised least squares regression to account for the inter-station correlation of the rainfall data in the analysis. The proposed method is applied to a pilot data set consisting of 203 rainfall stations across Australia. An independent Monte Carlo cross-validation test shows that the proposed method is capable of generating consistent and accurate design rainfall estimates from 6-min to 12-h duration. The developed technique can be adapted to other countries where there is a scarcity of short-duration rainfall data, but daily rainfall data are abundant. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • 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.
    • Handle: RePEc:spr:nathaz:v:74:y:2014:i:3:p:1391-1401
    DOI: 10.1007/s11069-014-1248-7
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    References listed on IDEAS

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    1. Javad Abolverdi & Davar Khalili, 2010. "Development of Regional Rainfall Annual Maxima for Southwestern Iran by L-Moments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(11), pages 2501-2526, September.
    2. Zahrahtul Zakaria & Ani Shabri & Ummi Ahmad, 2012. "Regional Frequency Analysis of Extreme Rainfalls in the West Coast of Peninsular Malaysia using Partial L-Moments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(15), pages 4417-4433, December.
    3. Demetris Koutsoyiannis & George Baloutsos, 2000. "Analysis of a Long Record of Annual Maximum Rainfall in Athens, Greece, and Design Rainfall Inferences," 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. 22(1), pages 29-48, July.
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    Cited by:

    1. Abdullah Al Mamoon & Niels E. Joergensen & Ataur Rahman & Hassan Qasem, 2016. "Design rainfall in Qatar: sensitivity to climate change scenarios," 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. 81(3), pages 1797-1810, April.
    2. 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.
    3. Evan Hajani & Ataur Rahman, 2018. "Design rainfall estimation: comparison between GEV and LP3 distributions and at-site and regional estimates," 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. 93(1), pages 67-88, August.

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