A real-time flood monitoring index based on daily effective precipitation and its application to Brisbane and Lockyer Valley flood events

Deo, Ravinesh C. and Byun, Hi-Ryong and Adamowski, Jan F. and Kim, Do-Woo (2015) A real-time flood monitoring index based on daily effective precipitation and its application to Brisbane and Lockyer Valley flood events. Water Resources Management, 29 (11). pp. 4075-4093. ISSN 0920-4741

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 (PE) for quantifying floods in Brisbane and Lockyer Valley. Using daily precipitation (P) data as an input, the IF was determined by calculating PE using exponentially-decaying time-reduction function considering gradual depletion of water resources over the passage of time and comparing and normalizing the PE per day with the means and standard deviations of yearly maximums in the hydrological period. Start of flood was identified for IF ≥0, severity (IF acc ) assessed by running-sum on consecutively positive IF , duration (DF) as number of days with positive IF and peak danger (IF max ) as maximum I F . The ability of IF for flood warning was verified with river height and discharge rates. The most severe flood was recoded in January 1974 in Brisbane (IF acc =118, IF max =4.4, DF = 104 days) with return period (T) =106.2 years. Next was the December 2010–January 2011 event (I F acc =61.8, IF max =2.6, DF = 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 IF for flood risk assessments where severity, peak danger, duration or return periods are to be considered


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version in accordance with the copyright policy of the publisher
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences
Date Deposited: 10 Jul 2015 01:32
Last Modified: 15 Sep 2016 23:53
Uncontrolled Keywords: flood index; flood risk assessment; daily monitoring of flood; peak danger of flood; Brisbane and Lockyer Valley flood
Fields of Research : 05 Environmental Sciences > 0502 Environmental Science and Management > 050204 Environmental Impact Assessment
04 Earth Sciences > 0406 Physical Geography and Environmental Geoscience > 040608 Surfacewater Hydrology
04 Earth Sciences > 0406 Physical Geography and Environmental Geoscience > 040604 Natural Hazards
01 Mathematical Sciences > 0102 Applied Mathematics > 010299 Applied Mathematics not elsewhere classified
09 Engineering > 0905 Civil Engineering > 090509 Water Resources Engineering
Socio-Economic Objective: D Environment > 96 Environment > 9609 Land and Water Management > 960913 Water Allocation and Quantification
E Expanding Knowledge > 97 Expanding Knowledge > 970105 Expanding Knowledge in the Environmental Sciences
D Environment > 96 Environment > 9610 Natural Hazards > 961099 Natural Hazards not elsewhere classified
E Expanding Knowledge > 97 Expanding Knowledge > 970104 Expanding Knowledge in the Earth Sciences
Identification Number or DOI: 10.1007/s11269-015-1046-3
URI: http://eprints.usq.edu.au/id/eprint/27475

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