scholarly journals Enhanced efficiency of pluvial flood risk estimation in urban areas using spatial-temporal rainfall simulations

2012 ◽  
Vol 5 (4) ◽  
pp. 376-376
2012 ◽  
Vol 5 (2) ◽  
pp. 143-152 ◽  
Author(s):  
J. Blanc ◽  
J.W. Hall ◽  
N. Roche ◽  
R.J. Dawson ◽  
Y. Cesses ◽  
...  

2017 ◽  
Vol 93 (S1) ◽  
pp. 39-60 ◽  
Author(s):  
Maria Cortès ◽  
Maria Carmen Llasat ◽  
Joan Gilabert ◽  
Montserrat Llasat-Botija ◽  
Marco Turco ◽  
...  
Keyword(s):  

Author(s):  
T Rashidul Kabir ◽  
B Gersonius ◽  
C Zevenbergen ◽  
P van Gelder ◽  
Mohammad Shah

2007 ◽  
pp. 415-432 ◽  
Author(s):  
Jonathan Chapman ◽  
JingJing Zhou ◽  
John Blanksby ◽  
Richard Ashley

2005 ◽  
Vol 9 (4) ◽  
pp. 449-456 ◽  
Author(s):  
R. Sanders ◽  
F. Shaw ◽  
H. MacKay ◽  
H. Galy ◽  
M. Foote

Abstract. Flood risk poses a major problem for insurers and governments who ultimately pay the financial costs of losses resulting from flood events. Insurers therefore face the problem of how to assess their exposure to floods and how best to price the flood element of their insurance products. This paper looks at the insurance implications of recent flood events in Europe and the issues surrounding insurance of potential future events. In particular, the paper will focus on the flood risk information needs of insurers and how these can be met. The data requirements of national and regional flood models are addressed in the context of the accuracy of available data on property location. Terrain information is generally the weakest component of sophisticated flood models. Therefore, various sources of digital terrain models (DTM) are examined and discussed with consideration of the vertical and horizontal accuracy, the speed of acquisition, the costs and the comprehensiveness of the data. The NEXTMap DTM series from Intermap Technologies Inc. is proposed as a suitable DTM for flood risk identification and mapping, following its use in the UK. Its acquisition, processing and application is described and future plans discussed. Examples are included of the application of flood information to insurance property information and the potential benefits and advantages of using suitable hazard modelling data sources are detailed.


Anthropocene ◽  
2019 ◽  
Vol 28 ◽  
pp. 100217 ◽  
Author(s):  
Sharon L. Harlan ◽  
Mariana J. Sarango ◽  
Elizabeth A. Mack ◽  
Timothy A. Stephens

Proceedings ◽  
2020 ◽  
Vol 30 (1) ◽  
pp. 62
Author(s):  
Zahra Kalantari ◽  
Johanna Sörensen

The densification of urban areas has raised concerns over increased pluvial flooding. Flood risk in urban areas might increase under the impact of land use changes. Urbanisation involves the conversion of natural areas to impermeable areas, causing lower infiltration rates and increased runoff. When high-intensity rainfall exceeds the capacity of an urban drainage system, the runoff causes pluvial flooding in low-laying areas. In the present study, a long time series (i.e., 20 years) of geo-referenced flood claims from property owners has been collected and analysed in detail to assess flood risk as it relates to land use changes in urban areas. The flood claim data come from property owners with flood insurance that covers property loss from overland flooding, groundwater intrusion through basement walls, as well as flooding from drainage systems; these data serve as a proxy of flood severity. The spatial relationships between land use change and flood occurrences in different urban areas were analysed. Special emphasis was placed on examining how nature-based solutions and blue-green infrastructure relate to flood risk. The relationships are defined by a statistical method explaining the tendencies whereby land use change affects flood risk.


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