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Analysis of a Long Record of Annual Maximum Rainfall in Athens, Greece, and Design Rainfall Inferences

Author

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  • Demetris Koutsoyiannis
  • George Baloutsos

Abstract

An annual series of maximum dailyrainfall extending through 1860–1995, i.e., 136 years,was extracted from the archives of a meteorologicalstation in Athens. This is the longest rainfall recordavailable in Greece and its analysis is required forthe prediction of intense rainfall in Athens, wherecurrently major flood protection works are under way.Moreover, the statistical analysis of this long recordcan be useful for investigating more generalisedissues regarding the adequacy of extreme valuedistributions for extreme rainfall analysis and theeffect of sample size on design rainfall inferences.Statistical exploration and tests based on this longrecord indicate no statistically significant climaticchanges in extreme rainfall during the last 136 years.Furthermore, statistical analysis shows that theconventionally employed Extreme Value Type I (EV1 orGumbel) distribution is inappropriate for the examinedrecord (especially in its upper tail), whereas thisdistribution would seem as an appropriate model iffewer years of measurements were available (i.e., partof this sample were used). On the contrary, theGeneral Extreme Value (GEV) distribution appears to besuitable for the examined series and its predictionsfor large return periods agree with the probablemaximum precipitation estimated by the statistical(Hershfield's) method, when the latter is consideredfrom a probabilistic point of view. Thus, the resultsof the analysis of this record agree with a recently(and internationally) expressed scepticism about theEV1 distribution which tends to underestimate thelargest extreme rainfall amounts. It is demonstratedthat the underestimation is quite substantial (e.g.,1 : 2) for large return periods and this fact must beconsidered as a warning against the widespread use ofthe EV1 distribution for rainfall extremes. Copyright Kluwer Academic Publishers 2000

Suggested Citation

  • 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.
  • Handle: RePEc:spr:nathaz:v:22:y:2000:i:1:p:29-48
    DOI: 10.1023/A:1008001312219
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    Citations

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    Cited by:

    1. Lan-Fen Chu & Michael McAleer & Szu-Hua Wang, 2012. "Statistical Modelling of Recent Changes in Extreme Rainfall in Taiwan," KIER Working Papers 837, Kyoto University, Institute of Economic Research.
    2. Long Wan & Jinxing Zhou & Hongyan Guo & Ming Cui & Yuguo Liu, 2016. "Trend of water resource amount, drought frequency, and agricultural exposure to water stresses in the karst regions of South China," 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. 80(1), pages 23-42, January.
    3. Hakan Aksu & Mahmut Cetin & Hafzullah Aksoy & Sait Genar Yaldiz & Isilsu Yildirim & Gulsah Keklik, 2022. "Spatial and temporal characterization of standard duration-maximum precipitation over Black Sea Region in Turkey," 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. 111(3), pages 2379-2405, April.
    4. Emmanuel Afuecheta & Chigozie Utazi & Edmore Ranganai & Chibuzor Nnanatu, 2023. "An Application of Extreme Value Theory for Measuring Financial Risk in BRICS Economies," Annals of Data Science, Springer, vol. 10(2), pages 251-290, April.
    5. Amir AghaKouchak & Nasrin Nasrollahi, 2010. "Semi-parametric and Parametric Inference of Extreme Value Models for Rainfall Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(6), pages 1229-1249, April.
    6. Lan-Fen Chu & Michael McAleer & Ching-Chung Chang, 2012. "Statistical Modelling of Extreme Rainfall in Taiwan," KIER Working Papers 835, Kyoto University, Institute of Economic Research.
    7. Matteo Gentilucci & Alessandro Rossi & Niccolò Pelagagge & Domenico Aringoli & Maurizio Barbieri & Gilberto Pambianchi, 2023. "GEV Analysis of Extreme Rainfall: Comparing Different Time Intervals to Analyse Model Response in Terms of Return Levels in the Study Area of Central Italy," Sustainability, MDPI, vol. 15(15), pages 1-25, July.
    8. I. E. Okorie & A. C. Akpanta & J. Ohakwe & D. C. Chikezie & C. U. Onyemachi & M. C. Ugwu, 2019. "A Note on Modeling the Maxima of Lagos Rainfall," Annals of Data Science, Springer, vol. 6(2), pages 341-359, June.
    9. 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.
    10. Jonas Smit Andersen & Sara Maria Lerer & Antje Backhaus & Marina Bergen Jensen & Hjalte Jomo Danielsen Sørup, 2017. "Characteristic Rain Events: A Methodology for Improving the Amenity Value of Stormwater Control Measures," Sustainability, MDPI, vol. 9(10), pages 1-18, October.
    11. Ioannis M. Kourtis & Ioannis Nalbantis & George Tsakiris & Basil Ε. Psiloglou & Vassilios A. Tsihrintzis, 2023. "Updating IDF Curves Under Climate Change: Impact on Rainfall-Induced Runoff in Urban Basins," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(6), pages 2403-2428, May.

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