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Development and evaluation of a framework for global flood hazard mapping

Abstract:
Nowadays, the development of high-resolution flood hazard models have become feasible at continental and global scale, and their application in developing countries and data-scarce regions can be extremely helpful to increase preparedness of population and reduce catastrophic impacts.The present work describes the development of a novel procedure for global flood hazard mapping, based on the most recent advances in large scale flood modelling. We derive a long-term dataset of daily river discharges from the hydrological simulations of the Global Flood Awareness System (GloFAS). Streamflow data is downscaled on a high resolution river network and processed to provide the input for local flood inundation simulations, performed with a two-dimensional hydrodynamic model. All flood-prone areas identified along the river network are then merged to create continental flood hazard maps for different return periods at 30'' resolution. We evaluate the performance of our methodology in several river basins across the globe by comparing simulated flood maps with both official hazard maps and a mosaic of flooded areas detected from satellite images. The evaluation procedure also includes comparisons with the results of other large scale flood models. We further investigate the sensitivity of the flood modelling framework to several parameters and modelling approaches and identify strengths, limitations and possible improvements of the methodology.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.advwatres.2016.05.002

Authors


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Role:
Author
ORCID:
0000-0002-3616-386X
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Institution:
University of Oxford
Division:
Social Sciences Division
Department:
SOGE
Sub department:
Geography
Department:
GEOGRAPHY
Role:
Author
ORCID:
0000-0002-4919-4753


Publisher:
Elsevier
Journal:
Advances in Water Resources More from this journal
Volume:
94
Pages:
87-102
Publication date:
2016-05-03
Acceptance date:
2016-05-02
DOI:
EISSN:
1872-9657
ISSN:
0309-1708


Keywords:
Pubs id:
pubs:809443
UUID:
uuid:72456b6b-82f5-40f2-9904-6e8698b6682f
Local pid:
pubs:809443
Source identifiers:
809443
Deposit date:
2018-09-20

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