Crowdsourcing detailed flood data.

Crowdsourcing detailed flood data.

Crowdsourcing detailed flood data. EGU General Assembly 2015 Vienna | 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 images. as Word files; digitized Data Collection App Utilisation of an esablished specialist commercial

provider WildKnowledge (WK) had identified the engagement potential of mobile devices before the dawn of the iPhone.

WKs applications can be used to gather/receive information about ANY topic (wild = unrestricted!) WK is an Oxford Brookes University spinout company Benefits

Detailed information reflected in sophisticated flood protection models. Core to framing urban resilience strategies Optimised effectiveness of investment. Stakeholders

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. 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?

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