Social sensing of floods in the UK
- Submitting institution
-
University of Exeter
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1815
- Type
- D - Journal article
- DOI
-
10.1371/journal.pone.0189327
- Title of journal
- PLoS ONE
- Article number
- ARTN e0189327
- First page
- -
- Volume
- 13(1)
- Issue
- 1
- ISSN
- 1932-6203
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2018
- URL
-
-
- 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
-
3
- Research group(s)
-
-
- Citation count
- 31
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper formed the basis of an ongoing collaboration with the Flood Forecasting Centre (http://www.ffc-environment-agency.metoffice.gov.uk/) and the development of a social sensing tool in use now by operational meteorologists. This paper and sensing tool has led to collaboration with the MET Office "Global Hazard Map" team as well as the extension of the methodology to study other hazards (heat, wind, storms); incorporation into the projects BIG data methods for improving windstorm FOOTprint prediction (BigFoot) and FRESCO Project: Research into methods to collect data on socio-economic impacts of severe weather events in India (MetOffice WCSSP IND6).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -