Abstract

FloodRisk, 3rd European Conference on Flood Risk Management, Lyon, FRA, 17-/10/2016 - 21/10/2016; International audience; Indicator of Intense Pluvial Runoff (French Acronym) - is a method to map the susceptibility of territories to surface runoff generation, transfer and accumulation. The method is based on a geomatic combination of landscape factors extracted from topography, land use and soil type. This study is part of the method evaluation process and suggests using information from post-event surveys of surface runoff events to evaluate the agreement between the IRIP maps and the field observations. Surface runoff susceptibility maps are produced at five meters resolution for three impact areas on railways with different infrastructure and environment configurations. First, information categories are extracted from the post-event surveys, and then the IRIP maps are analyzed to see if and how the information categories are retrieved. This study shows that the IRIP maps fit the impact description. The areas susceptible to surface runoff transfer fit the gullies locations and the areas susceptible to surface runoff accumulation fit the sediment deposit traces. The comparison also highlights that the IRIP maps can give further information on the event spatial dynamics. Given the simplicity and the robustness of the mapping method, IRIP can be a tool to perform surface runoff post-event surveys and to improve the surface runoff hazard assessment.


Original document

The different versions of the original document can be found in:

https://doaj.org/toc/2267-1242 under the license cc-by
http://dx.doi.org/10.1051/e3sconf/20160710005
https://hal.archives-ouvertes.fr/hal-01549762/document,
https://hal.archives-ouvertes.fr/hal-01549762/file/ly2016-pub00052209.pdf
https://www.e3s-conferences.org/articles/e3sconf/ref/2016/02/e3sconf_flood2016_10005/e3sconf_flood2016_10005.html,
http://www.e3s-conferences.org/articles/e3sconf/ref/2016/02/e3sconf_flood2016_10005/e3sconf_flood2016_10005.html,
https://core.ac.uk/display/89895531,
https://academic.microsoft.com/#/detail/2537181330
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Document information

Published on 01/01/2016

Volume 2016, 2016
DOI: 10.1051/e3sconf/20160710005
Licence: Other

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