FloodCitiSense: Early warning service for urban pluvial floods for and by citizens and city authorities
File(s)
Accepted version
Author(s)
Type
Conference Paper
Abstract
FloodCitiSense aims at developing an urban pluvial flood early warning service for, but also by citizens and city authorities, building upon the state-of-the-art knowledge, methodologies and smart technologies provided by research units and private companies. FloodCitiSense targets the co-creation of this innovative public service in an urban living lab context with all local actors. This service will reduce the vulnerability of urban areas and citizens to pluvial floods, which occur when heavy rainfall exceeds the capacity of the urban drainage system. Due to their fast onset and localized nature, they cause significant damage to the urban environment and are challenging to manage. Monitoring and management of peak events in cities is typically in the hands of local governmental agencies. Citizens most often just play a passive role as people negatively affected by the flooding, despite the fact that they are often the ‘first responders’ and should therefore be actively involved. The FloodCitiSense project aims at integrating crowdsourced hydrological data, collaboratively monitored by local stakeholders, including citizens, making use of low-cost sensors and web-based technologies, into a flood early warning system. This will enable ‘citizens and cities’ to be better prepared for and better respond to urban pluvial floods. Three European pilot cities are targeted: Brussels – Belgium, Rotterdam – The Netherlands and Birmingham – UK.
Editor(s)
Mannina, G
Date Issued
2018-09-01
Date Acceptance
2018-09-01
Citation
New Trends in Urban Drainage Modelling, 2018, pp.660-664
ISBN
9783319998664
Publisher
Springer
Start Page
660
End Page
664
Journal / Book Title
New Trends in Urban Drainage Modelling
Copyright Statement
© 2018 Springer Nature Switzerland AG.
Sponsor
Economic & Social Research Council (ESRC)
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000482068800114&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
ES/R002975/1
Source
11th International Conference on Urban Drainage Modelling (UDM)
Subjects
Science & Technology
Technology
Physical Sciences
Engineering, Environmental
Engineering, Civil
Water Resources
Engineering
Urban pluvial flooding
Citizen science
Flood early warning system
Publication Status
Published
Start Date
2018-09-23
Finish Date
2018-09-26
Coverage Spatial
Palermo, Italy
Date Publish Online
2018-09-01