Development of an Impact-Oriented Quantitative Coastal Inundation forecasting and early warning system with social and economic assessment

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dc.contributor.author Fakhruddin, Shamsul en
dc.contributor.author Babel, Mukand S en
dc.contributor.author Kawasaki, Akiyuki en
dc.date.accessioned 2018-10-12T01:42:11Z en
dc.date.issued 2014-04-27 en
dc.identifier.uri http://hdl.handle.net/2292/41180 en
dc.description.abstract Coastal inundations are an increasing threat to the lives and livelihoods of people living in low-lying, highlypopulated coastal areas. According to a World Bank Report in 2005, at least 2.6 million people may have drowned due to coastal inundation, particularly caused by storm surges, over the last 200 years. Forecasting and prediction of natural events, such as tropical and extra-tropical cyclones, inland flooding, and severe winter weather, provide critical guidance to emergency managers and decision-makers from the local to the national level, with the goal of minimizing both human and economic losses. This guidance is used to facilitate evacuation route planning, post-disaster response and resource deployment, and critical infrastructure protection and securing, and it must be available within a time window in which decision makers can take appropriate action. Recognizing this extreme vulnerability of coastal areas to inundation/flooding, and with a view to improve safety-related services for the community, research should strongly enhance today’s forecasting, prediction and early warning capabilities in order to improve the assessment of coastal vulnerability and risks and develop adequate prevention, mitigation and preparedness measures. This paper tries to develop an impact-oriented quantitative coastal inundation forecasting and early warning system with social and economic assessment to address the challenges faced by coastal communities to enhance their safety and to support sustainable development, through the improvement of coastal inundation forecasting and warning systems. en
dc.description.uri http://adsabs.harvard.edu/abs/2014EGUGA..16.1651F en
dc.relation.ispartof EGU General Assembly 2014 en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title Development of an Impact-Oriented Quantitative Coastal Inundation forecasting and early warning system with social and economic assessment en
dc.type Conference Item en
pubs.issue EGU2014-1651, 2014 en
pubs.volume 16 en
dc.rights.holder Copyright: The author en
pubs.author-url http://meetingorganizer.copernicus.org/EGU2014/EGU2014-1651.pdf en
pubs.finish-date 2017-05-02 en
pubs.start-date 2017-04-27 en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Abstract en
pubs.elements-id 648276 en
pubs.record-created-at-source-date 2017-08-13 en
pubs.online-publication-date 2017-04-27 en


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