Assessing the utility of social media as a data source for flood risk management using a real-time modelling framework
- Submitting institution
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University of Newcastle upon Tyne
- Unit of assessment
- 12 - Engineering
- Output identifier
- 211053-177754-1293
- Type
- D - Journal article
- DOI
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10.1111/jfr3.12154
- Title of journal
- Journal of Flood Risk Management
- Article number
- -
- First page
- 370
- Volume
- 10
- Issue
- 3
- ISSN
- 1753-318X
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2015
- URL
-
http://dx.doi.org/10.1111/jfr3.12154
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
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3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Pluvial flooding from intense rainfall is short-lived, and very little data exists for model validation. This paper uniquely extracts descriptions of the nature and severity flooding from social media messages, and uses hydraulic modelling to infer in real-time other locations that are likely to have flooded. It is the first UK application of social media streams for real-time flood impacts. Provided proof of concept for use of non-hydrometeorological data in flood forecasting, which is now being extended in Flood-PREPARED (NE/P017134/1) and PYRAMID (NE/V00378X/1). Won the journal’s best paper award (2018); editor-in-chief described as addressing “an important and current research gap”.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -