Upload
sabina-bethany-hoover
View
216
Download
4
Embed Size (px)
Citation preview
Crowdsourcing detailed flood data.
EGU General Assembly 2015Vienna | Austria | 12 – 17 April 2015
Dr Nicholas Walliman
Oxford Brookes University
• €4.5bn average annual cost EU
• €23bn by 2050
• Profound social costs
Flood prediction, management and defence strategies• Accurate information• Flood Modelling
Automated data gathering
• Least reliable in urban and physically complex geographies
Crowdsourcing data of floods• Improved accuracy
• Identifies the effects of local landscape
App based data acquisition• Combines camera records with GPS data and time.• Automatically produces dataset.• Follow up calls to get more information.
Datasets
Georeferenced, quantitative datasets & questionnaire
Responses in EXCEL file format; qualitative interview
Datasets as Word files; digitized images.
Utilisation of an esablished specialist commercial provider
WildKnowledge (WK) had identified the ‘engagement’ potential of mobile devices before the dawn of the iPhone.
WK’s applications can be used to gather/receive information about ANY topic (wild = unrestricted!)
WK is an Oxford Brookes University spinout company
Data Collection App
Benefits• Detailed information reflected in sophisticated
flood protection models.• Core to framing urban resilience strategies• Optimised effectiveness of investment.
The context for recovery and resilience work is highly complex.
Many different groups with an interest/responsibility for flood management, all with separate reporting mechanisms
Numerous organisations and public agencies will see this as a valuable addition to their data sets.
Stakeholders
This Research• Pioneering approach will develop flood event
data.• Will support systems to advance existing
approaches.• Will support improved flood risk assessment.
Thank you for listening!
Any questions?