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Analysis of Extreme Flood Events for the Pachang River, Taiwan

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  • S. Nadarajah
  • J. Shiau

Abstract

Flood events of the Pachang River, one of the major rivers in Taiwan, are modeled by extreme value distributions. Flood events are characterized by its peak, volume, duration and the time of peak. Flood volume and peak are fitted to a generalized extreme value distribution. Flood duration and the time of flood peak are incorporated into the model to detect possible trends. The results show that flood volume exhibits an upward trend with respect to flood duration, but flood peak exhibits a downward trend with respect to flood duration. There appears to be no significant trends with respect to time. Among other results, we provide estimates of return period for flood peak and flood volume, which could be used as measures of flood protection. This paper provides the first application of extreme value distributions to flood data from Taiwan. Copyright Springer Science + Business Media, Inc. 2005

Suggested Citation

  • S. Nadarajah & J. Shiau, 2005. "Analysis of Extreme Flood Events for the Pachang River, Taiwan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(4), pages 363-374, August.
    • Handle: RePEc:spr:waterr:v:19:y:2005:i:4:p:363-374
    DOI: 10.1007/s11269-005-2073-2
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    Citations

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    Cited by:

    1. Hsiao-Ping Wei & Yuan-Fong Su & Chao-Tzuen Cheng & Keh-Chia Yeh, 2020. "Levee Overtopping Risk Assessment under Climate Change Scenario in Kao-Ping River, Taiwan," Sustainability, MDPI, vol. 12(11), pages 1-12, June.
    2. Claudia Daza Andrade & José Paulo Soares Azevedo & Marcos Aurélio V. Freitas & Leandro Andrei Beser Deus, 2016. "Precipitation Analysis and the Influence of the El Niño Phenomenon on the Transboundary Basin of the Madeira River," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(9), pages 3077-3092, July.
    3. Sang Ug Kim & Cheol-Eung Lee, 2021. "Incorporation of Cost-Benefit Analysis Considering Epistemic Uncertainty for Calculating the Optimal Design Flood," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(2), pages 757-774, January.
    4. Ian Brodie, 2013. "Using Volume Delivery Time to Identify Independent Partial Series Events," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(10), pages 3727-3738, August.
    5. Withers, C.S. & Krouse, D.P. & Pearson, C.P. & Nadarajah, S., 2008. "Modelling time series when mean and variability both change," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 77(1), pages 57-63.
    6. Chih-Chiang Wei & Nien-Sheng Hsu & Chien-Lin Huang, 2016. "Rainfall-Runoff Prediction Using Dynamic Typhoon Information and Surface Weather Characteristic Considering Monsoon Effects," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 877-895, January.
    7. Christopher S. Withers & Saralees Nadarajah, 2013. "Expansions for the Distribution of the Maximum from Distributions with a Power Tail when a Trend is Present," Methodology and Computing in Applied Probability, Springer, vol. 15(3), pages 525-546, September.
    8. José Sena & Leandro Beser de Deus & Marcos Freitas & Lazaro Costa, 2012. "Extreme Events of Droughts and Floods in Amazonia: 2005 and 2009," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(6), pages 1665-1676, April.
    9. Chih-Chiang Wei & Nien-Sheng Hsu & Chien-Lin Huang, 2016. "Rainfall-Runoff Prediction Using Dynamic Typhoon Information and Surface Weather Characteristic Considering Monsoon Effects," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 877-895, January.
    10. M. Reddy & Poulomi Ganguli, 2012. "Bivariate Flood Frequency Analysis of Upper Godavari River Flows Using Archimedean Copulas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(14), pages 3995-4018, November.
    11. Christopher S. Withers & Saralees Nadarajah, 2016. "M-Estimators for Regression with Changing Scale," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 78(2), pages 238-286, November.

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