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| Titel |
Flood Foresight: A near-real time flood monitoring and forecasting tool for rapid and predictive flood impact assessment |
| VerfasserIn |
Beatriz Revilla-Romero, Kay Shelton, Elizabeth Wood, Robert Berry, John Bevington, Barry Hankin, Gavin Lewis, Andrew Gubbin, Samuel Griffiths, Paul Barnard, Marc Pinnell, Charles Huyck |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250138259
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| Publikation (Nr.) |
 EGU/EGU2017-1230.pdf |
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| Zusammenfassung |
| The hours and days immediately after a major flood event are often chaotic and confusing,
with first responders rushing to mobilise emergency responders, provide alleviation assistance
and assess loss to assets of interest (e.g., population, buildings or utilities). Preparations in
advance of a forthcoming event are becoming increasingly important; early warning systems
have been demonstrated to be useful tools for decision markers. The extent of damage, human
casualties and economic loss estimates can vary greatly during an event, and the timely
availability of an accurate flood extent allows emergency response and resources to be
optimised, reduces impacts, and helps prioritise recovery. In the insurance sector, for
example, insurers are under pressure to respond in a proactive manner to claims rather than
waiting for policyholders to report losses. Even though there is a great demand for flood
inundation extents and severity information in different sectors, generating flood footprints
for large areas from hydraulic models in real time remains a challenge. While such
footprints can be produced in real time using remote sensing, weather conditions and
sensor availability limit their ability to capture every single flood event across the
globe.
In this session, we will present Flood Foresight (www.floodforesight.com), an operational
tool developed to meet the universal requirement for rapid geographic information, before,
during and after major riverine flood events. The tool provides spatial data with which users
can measure their current or predicted impact from an event – at building, basin,
national or continental scales. Within Flood Foresight, the Screening component
uses global rainfall predictions to provide a regional- to continental-scale view
of heavy rainfall events up to a week in advance, alerting the user to potentially
hazardous situations relevant to them. The Forecasting component enhances the
predictive suite of tools by providing a local-scale view of the extent and depth of
possible riverine flood events several days in advance by linking forecast river flow
from a hydrological model to a global flood risk map. The Monitoring component
provides a similar local-scale view of a flood inundation extent but in near real
time, as an event unfolds, by combining the global flood risk map with observed
river gauge telemetry. Immediately following an event, the maximum extent of the
flood is also generated. Users of Flood Foresight will be able to receive current and
forecast flood extents and depth information via API into their own GIS or analytics
software. The set of tools is currently operational for the UK and Europe; the methods
presented can be applied globally, allowing provision of service to any country or
region.
This project was supported by InnovateUK under the Solving Business Problems with
Environmental Data competition. |
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