How Extreme Was The October 2015 Flood In The Carolinas? An Assessment Of Flood Frequency Analysis And Distribution Tails
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How Extreme Was The October 2015 Flood In The Carolinas? An Assessment Of Flood Frequency Analysis And Distribution Tails

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  • Journal Title:
    Journal of Hydrology
  • Personal Author:
  • NOAA Program & Office:
  • Sea Grant Program:
    SCSGC (South Carolina Sea Grant)
  • Description:
    This paper examines the frequency, distribution tails, and peak-over-threshold (POT) of extreme floods through analysis that centers on the October 2015 flooding in North Carolina (NC) and South Carolina (SC), United States (US). The most striking features of the October 2015 flooding were a short time to peak (Tp) and a multi-hour continuous flood peak which caused intensive and widespread damages to human lives, properties, and infrastructure. The 2015 flooding was produced by a sequence of intense rainfall events which originated from category 4 hurricane Joaquin over a period of four days. Here, the probability distribution and distribution parameters (i.e., location, scale, and shape) of floods were investigated by comparing the upper part of empirical distributions of the annual maximum flood (AMF) and POT with light- to heavy- theoretical tails: Fréchet, Pareto, Gumbel, Weibull, Beta, and Exponential. Specifically, four sets of U.S. Geological Survey (USGS) gauging data from the central Carolinas with record lengths from approximately 65–125 years were used. Analysis suggests that heavier-tailed distributions are in better agreement with the POT and somewhat AMF data than more often used exponential (light) tailed probability distributions. Further, the threshold selection and record length affect the heaviness of the tail and fluctuations of the parent distributions. The shape parameter and its evolution in the period of record play a critical and poorly understood role in determining the scaling of flood response to intense rainfall.
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  • Source:
    Journal of Hydrology 562: 648-663
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  • Document Type:
    Journal Article
  • Rights Information:
    Accepted Manuscript
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    Library
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