2007
DOI: 10.1016/j.catena.2006.11.011
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Spatial and temporal variation of muddy floods in central Belgium, off-site impacts and potential control measures

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Cited by 98 publications
(83 citation statements)
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“…Carroll et al, 2004), land management (e.g. Boardman et al, 2003;Evrard et al, 2007) and soil management (e.g. Holman et al, 2003) in reducing runoff generation and flood risk has risen considerably in recent years within political and public environments.…”
Section: Introductionmentioning
confidence: 99%
“…Carroll et al, 2004), land management (e.g. Boardman et al, 2003;Evrard et al, 2007) and soil management (e.g. Holman et al, 2003) in reducing runoff generation and flood risk has risen considerably in recent years within political and public environments.…”
Section: Introductionmentioning
confidence: 99%
“…These regions have in common a high population density together with intensive agriculture in areas of high rainfall where soils are very sensitive to erosion. Muddy floods result in considerable financial costs to the local authority for cleaning up and for compensation of victims (Verstraeten and Poesen, 1999;Evrard et al, 2007). After such an event, there are often plans to set up protective water management systems to avoid runoff from agricultural land reaching the urban areas.…”
Section: Introductionmentioning
confidence: 99%
“…As there are no such data concerning SWFs (Steinbrich et al, 2016), we must exploit other data sources in order to quantify the relevance of this flood type in space and time. Possible data sources include, but are not limited to, insurance claim records (e.g., Spekkers et al, 2013;Zhou et al, 2013;Moncoulon et al, 2014;Bernet et al, 2016;Grahn and Nyberg, 2017), disaster databases (e.g., Gall et al, 2009;Kron et al, 2012), press reports (e.g., Hilker et al, 2009) and interviews with or reports from affected people (e.g., Thieken et al, 2007;Evrard et al, 2007;Gaitan et al, 2016). All data sources are probably subjected to a varying degree of a socalled "threshold bias", which refers to the bias introduced due to varying damage inclusion criteria (Gall et al, 2009).…”
Section: Introductionmentioning
confidence: 99%