Journal article
Development of a Flash Flood Confidence Index from Disaster Reports and Geophysical Susceptibility
Remote sensing (Basel, Switzerland), Vol.13(14), p.2764
07/01/2021
DOI: 10.3390/rs13142764
Abstract
The analysis of historical disaster events is a critical step towards understanding current risk levels and changes in disaster risk over time. Disaster databases are potentially useful tools for exploring trends, however, criteria for inclusion of events and for associated descriptive characteristics is not standardized. For example, some databases include only primary disaster types, such as 'flood', while others include subtypes, such as 'coastal flood' and 'flash flood'. Here we outline a method to identify candidate events for assignment of a specific disaster subtype-namely, 'flash floods'-from the corresponding primary disaster type-namely, 'flood'. Geophysical data, including variables derived from remote sensing, are integrated to develop an enhanced flash flood confidence index, consisting of both a flash flood confidence index based on text mining of disaster reports and a flash flood susceptibility index from remote sensing derived geophysical data. This method was applied to a historical flood event dataset covering Ecuador. Results indicate the potential value of disaggregating events labeled as a primary disaster type into events of a particular subtype. The outputs are potentially useful for disaster risk reduction and vulnerability assessment if appropriately evaluated for fitness of use.
Details
- Title: Subtitle
- Development of a Flash Flood Confidence Index from Disaster Reports and Geophysical Susceptibility
- Creators
- Andrew Kruczkiewicz - Columbia UniversityAgathe Bucherie - Columbia UniversityFernanda Ayala - Ecuadorian Red Cross CRE, Disaster Risk Dept, Quito 170403, EcuadorCarolynne Hultquist - Earth Island InstituteHumberto Vergara - Cooperative Institute for Mesoscale Meteorological StudiesSimon Mason - Columbia UniversityJuan Bazo - Climate CentreAlex de Sherbinin - Earth Island Institute
- Resource Type
- Journal article
- Publication Details
- Remote sensing (Basel, Switzerland), Vol.13(14), p.2764
- DOI
- 10.3390/rs13142764
- ISSN
- 2072-4292
- eISSN
- 2072-4292
- Publisher
- Mdpi
- Number of pages
- 21
- Grant note
- 80NSSC18K0342; 80NSSC18K1693 / National Aeronautics and Space Administration; National Aeronautics & Space Administration (NASA)
- Language
- English
- Date published
- 07/01/2021
- Academic Unit
- Civil and Environmental Engineering
- Record Identifier
- 9984446267802771
Metrics
18 Record Views