Flood hazard model helps the developing world

Flood hazard model helps the developing world

A global flood hazard model, created by researchers at the University of Bristol, is helping developing countries to reduce the risks posed by flooding.

The Hydrology Research Group at the University of Bristol, in conjunction with their commercial flood analytics spin-out SSBN Ltd, has developed a global flood hazard that operates with a minimum resolution of 90m.

The model is designed to be robust to the limited quality of global datasets, while being able to assimilate more detailed local data where available.

The model, described and validated in a recent paper in Water Resources Research, shows good agreement with trusted benchmark government flood hazard datasets from the UK and Canada.

Lead author of the paper Chris Sampson from Bristol's School of Geographical Sciences said: "Floods are a that affect communities worldwide, but to date the vast majority of flood hazard research and mapping has been undertaken by wealthy developed nations.

"As populations and economies have grown across the developing world, so too has demand from governments, businesses, and NGOs for information about flood hazard in their territories.  Because many such territories do not have the data, budget or expertise to create their own bespoke flood models, a global solution such as our flood model is required."

The availability of detailed and skilful flood hazard data in previously un-modelled territories is of such importance that output from the model is already being used by a range of partners, including the World Bank, Google and global insurance companies, to assist with decision making and crisis response in areas where flooding poses a critical threat to life or property.

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More information: Christopher C. Sampson et al. A high-resolution global flood hazard model, Water Resources Research (2015). DOI: 10.1002/2015WR016954
Journal information: Water Resources Research

Citation: Flood hazard model helps the developing world (2015, November 12) retrieved 18 January 2021 from https://phys.org/news/2015-11-hazard-world.html
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