Quantifying flood events in Bangladesh with a daily-step flood monitoring index based on the concept of daily effective precipitation
Article
Article Title | Quantifying flood events in Bangladesh with a daily-step flood monitoring index based on the concept of daily effective precipitation |
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ERA Journal ID | 1991 |
Article Category | Article |
Authors | Deo, Ravinesh C. (Author), Adamowski, Jan F. (Author), Begum, Khaleda (Author), Salcedo-sanz, Sancho, Kim, Do-Woo (Author), Dayal, Kavina S. (Author) and Byun, Hi-Ryong (Author) |
Journal Title | Theoretical and Applied Climatology |
Journal Citation | 137, pp. 1201-1215 |
Number of Pages | 15 |
Year | 2019 |
Publisher | Springer |
Place of Publication | Austria |
ISSN | 0177-798X |
1434-4483 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s00704-018-2657-4 |
Abstract | Bangladesh, located in the Bay of Bengal, is a developing nation that is prone to devastating flood events that cause loss of lives and several other forms of humanatarian disasters. Identifying, developing and validating new scientific techniques that can be used for flood-risk warning and regular monitoring, including flood risk mitigation and adaptation, can help reduce the catastrophic effect of floods in Bangladesh and other developing countries. In this study, a daily Flood Index (IF) based on daily effective precipitation (PE) is utilized for quantifying floods for two cites in Bangladesh: Dhaka (23.7° N, 90.38° E) and Bogra (24.51° N; 89.22° E), where flooding is a common phenomenon. Based on total daily precipitation (P) data, in this study the IFis determined by calculating the PE using an exponentially decaying time-reduction function, which considers the gradual depletion of water resources over time. PE per day is normalized and compared with the average and standard deviation of yearly maximums, within the considered hydrological period. The start of a flood event is identified for IF ≥ 0. Subsequently, the IF severity (Iacc F ) as consecutively positive IF, duration (DF) as number of days with positive IF, and peak danger (Imax F ) asmaximumIF are estimated for identified flood events, using the run-sum theory. The analysis carried out has accurately identified historical flood events at Dhaka station in 1984 and 2007 as having the largest Iacc F value (i.e., greatest severity). Flood severity (Iacc F ) and peak danger (Imax F ) parameters have been verified by accumulated precipitation corresponding to the same period. For Bogra station, the 1998 and 1979 events were found to be the most intense. Seasonality analysis of the flood index shows most floods happened during the summer monsoon, although for the Dhaka station, flood events occurred between early June and November, and in Bogra, from late June to October. A rational study of effective precipitation provides a useful severity and danger indicator. The results indicate the practicality of daily IF for flood-risk assessments where the severity, peak danger, and duration need to be considered as a unified index for flood-risk monitoring. The proposed daily flood index can be useful for hydrologists for the purpose of daily operational flood monitoring in high flood-risk nations. |
ANZSRC Field of Research 2020 | 410404. Environmental management |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Agricultural, Computational and Environmental Sciences |
McGill University, Canada | |
Bangladesh University of Engineering and Technology (BUET), Bangladesh | |
University of Alcala, Spain | |
National Disaster Management Institute, Korea | |
Pukyong National University, Korea | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q4y1y/quantifying-flood-events-in-bangladesh-with-a-daily-step-flood-monitoring-index-based-on-the-concept-of-daily-effective-precipitation
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