Japan Geoscience Union Meeting 2015

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Symbol H (Human Geosciences) » H-SC Social Earth Sciences & Civil/Urban System Sciences

[H-SC24] Human environment and disaster risk

Sun. May 24, 2015 6:15 PM - 7:30 PM Convention Hall (2F)

Convener:*Tatsuto Aoki(School of Regional Development Studies, Kanazawa University), Yasuhiro Suzuki(Nagoya University), Mamoru Koarai(Survey Department, College of Land, Infrastructure, Transport and Tourism), Toshihiko Sugai(Department of Natural Environmental Studies, Institute of Environmental Studies, Graduate School of Frontier Science, The University of Tokyo), Hiroshi Une(Geospacial Information Authority of Japan), Yoichi Nakamura(Department of Earth Sciences, Utsunomiya University), Jun Matsumoto(Deaprtment of Geography, Tokyo Metropolitan University), Shintaro Goto(Department of Environmental Systems Faculty of GEO-Environmental Science Rissho University), Keitarou Hara(Faculty of Informatics, Tokyo University of Information Sciences)

6:15 PM - 7:30 PM

[HSC24-P05] A multi-disciplinary management of flood risk based on rainfall interpolation, impact database and hydrological modeling

*Florent RENARD1, Lucille ALONSO1, Pierre-marie CHAPON1 (1.University Jean Moulin Lyon 3, UMR 5600)

Keywords:flood risk, rainfall interpolation, database, modeling, Lyon, France

The Greater Lyon (1.3 million inhabitants 650 km 2), located in south-east France, is subjected to recurring floods, with numerous consequences. From the perspective of prevention and management of this risk, the local authorities, in partnership with multidisciplinary researchers, have developed since 1988 a database built by the field teams, which specifically identifies all floods (places, date, impacts, damage, etc.). At first, this historical database is compared to two other databases, the emergency services and the local newspaper ones, in georeferencing these events using a GIS. It turns out that the historical database is more complete and precise, but the contribution of the other two bases is not negligible, and a useful complement to the knowledge of impacts. Thanks to the dense rain measurement network (30 rain gauges), the flood information is then compared to the distribution of rainfall for each episode (interpolation by ordinary kriging, fig. 1). The results are satisfactory and validate the accuracy of the information contained in the database, but also the accuracy of rainfall measurements. Thereafter, the number of flood on the study area is confronted with rainfall characteristics (intensity, duration and height of precipitated water). It does not appear here clear relationship between the number of floods and rainfall characteristics, because of the diversity of land uses, its permeability and the the types of local sewer network and urban water management. Finally, floods observed in the database are compared spatially with a GIS to flooding from the sewer network modeling (using the software Canoe). A strong spatial similarity between floods observed in the field and simulated flood is found in the majority of cases, despite the limitations of each tools. These encouraging results confirm the accuracy of the database and the reliability of the simulation software, and offer many operational perspectives to better understand the flood and learn to cope with the flooding risk.