A Real-time Flood Monitoring Index Based on Daily Effective Precipitation and its Application to Brisbane and Lockyer Valley Flood Events

Ravinesh Deo (), Hi-Ryong Byun, Jan Adamowski and Do-Woo Kim

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2015, vol. 29, issue 11, 4075-4093

Abstract: An objective index for flood monitoring is pragmatic tool for flood early warning systems. This study investigates a novel Flood Index (I F ) based on Effective Precipitation (P E ) for quantifying floods in Brisbane and Lockyer Valley. Using daily precipitation (P) data as an input, the I F was determined by calculating P E using exponentially-decaying time-reduction function considering gradual depletion of water resources over the passage of time and comparing and normalizing the P E per day with the means and standard deviations of yearly maximums in the hydrological period. Start of flood was identified for I F ≥0, severity (I F acc ) assessed by running-sum on consecutively positive I F , duration (D F ) as number of days with positive I F and peak danger (I F max ) as maximum I F . The ability of I F for flood warning was verified with river height and discharge rates. The most severe flood was recoded in January 1974 in Brisbane (I F acc =118, I F max =4.4, D F = 104 days) with return period (T) =106.2 years. Next was the December 2010–January 2011 event (I F acc =61.8, I F max =2.6, D F = 89 days) with T = 53 years. For Lockyer Valley, December 2010–January 2011 was the most severe (T = 104.4 years). Consequently, we advocate the practicality of the daily I F for flood risk assessments where severity, peak danger, duration or return periods are to be considered. Copyright Springer Science+Business Media Dordrecht 2015

Keywords: Flood risk; Flood index; Brisbane and lockyer valley floods (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (8)

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DOI: 10.1007/s11269-015-1046-3

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