Risk assessment and mapping of extreme floods in non-dyked communities along the Elbe and Mulde Rivers

Lindenschmidt, K.-E.; Herrmann, U.; Pech, Ina; Suhr, U.; Apel, Heiko; Thieken, Annegret H.

doi:10.5194/adgeo-9-15-2006

Cited by 12 publications

(10 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A water depth‐damage curve is a relationship between the flood inundation and the damages caused by that inundation (Lindenschmidt et al ., ). The flood damages depend on many factors including time of flooding, velocity of the flood water, duration of flooding, sediment load and warning time (IBI, 2015).…”

Section: Methodsmentioning

confidence: 97%

Ice‐jam flood risk assessment and mapping

Lindenschmidt

Das

Rokaya

et al. 2016

Hydrological Processes

View full text Add to dashboard Cite

Abstract:In northern regions, river ice-jam flooding can be more severe than open-water flooding causing property and infrastructure damages, loss of human life and adverse impacts on aquatic ecosystems. Very little has been performed to assess the risk induced by ice-related floods because most risk assessments are limited to open-water floods. The specific objective of this study is to incorporate ice-jam numerical modelling tools (e.g. RIVICE, Monte-Carlo simulation) into flood hazard and risk assessment along the Peace River at the Town of Peace River (TPR) in Alberta, Canada. Adequate historical data for different ice-jam and open-water flooding events were available for this study site and were useful in developing ice-affected stage-frequency curves. These curves were then applied to calibrate a numerical hydraulic model, which simulated different ice jams and flood scenarios along the Peace River at the TPR. A Monte-Carlo analysis was then carried out to acquire an ensemble of water level profiles to determine the 1 : 100-year and 1 : 200-year annual exceedance probability flood stages for the TPR. These flood stages were then used to map flood hazard and vulnerability of the TPR. Finally, the flood risk for a 200-year return period was calculated to be an average of $32/ m 2 /a ($/m 2 /a corresponds to a unit of annual expected damages or risk).

show abstract

Section: Methodsmentioning

confidence: 97%

Ice‐jam flood risk assessment and mapping

Lindenschmidt

Das

Rokaya

et al. 2016

Hydrological Processes

View full text Add to dashboard Cite

show abstract

“…at regional level with municipality detail) or meso-scale (e.g. at municipal level with raster mapping at order of 100 m resolution) using land use databases such as CORINE (Coordination of Information on the Environment) and/or MOLAND (Monitoring Land Use/Cover Dynamics; Genovese, 2006;Apel et al, 2008) and regional statistics (Lindenschmidt, 2006;Su et al, 2005); the few studies on micro-scale (e.g. with the detail of the main streets/buildings pattern) flood damage evaluation are more recent, and the main difficulty in the methodologies proposed so far is their reliance on privately-owned economic data in addition to georeferenced land registry data (Ernst et al, 2010;Elmer et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Urban micro-scale flood risk estimation with parsimonious hydraulic modelling and census data

Arrighi

Brugioni²,

Castelli

et al. 2013

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

The adoption of 2007/60/EC Directive requires European countries to implement flood hazard and flood risk maps by the end of 2013. Flood risk is the product of flood hazard, vulnerability and exposure, all three to be estimated with comparable level of accuracy. The route to flood risk assessment is consequently much more than hydraulic modelling of inundation, that is hazard mapping. While hazard maps have already been implemented in many countries, quantitative damage and risk maps are still at a preliminary level. A parsimonious quasi-2-D hydraulic model is here adopted, having many advantages in terms of easy set-up. It is here evaluated as being accurate in flood depth estimation in urban areas with a high-resolution and up-to-date Digital Surface Model (DSM). The accuracy, estimated by comparison with marble-plate records of a historic flood in the city of Florence, is characterized in the downtown's most flooded area by a bias of a very few centimetres and a determination coefficient of 0.73. The average risk is found to be about 14 € m⁻² yr⁻¹, corresponding to about 8.3% of residents' income. The spatial distribution of estimated risk highlights a complex interaction between the flood pattern and the building characteristics. As a final example application, the estimated risk values have been used to compare different retrofitting measures. Proceeding through the risk estimation steps, a new micro-scale potential damage assessment method is proposed. This is based on the georeferenced census system as the optimal compromise between spatial detail and open availability of socio-economic data. The results of flood risk assessment at the census section scale resolve most of the risk spatial variability, and they can be easily aggregated to whatever upper scale is needed given that they are geographically defined as contiguous polygons. Damage is calculated through stage–damage curves, starting from census data on building type and function, for the main categories in the study area: structures, household contents and commercial contents. This method is tested in the area of the St. Croce district in Florence, one of the most seriously affected in the famous 1966 flood

show abstract

“…Other examples of methods and maps on hazard zoning, vulnerability and inundation risk at a local level were made by Lindenschmidt et al [12] for the cities of Meissen on the Elbe River and Döbeln on the Mulde River; Te Linde et al [13] makes similar estimates along the river Rhine from Germany. These are a few examples of the many works that show a concern for mapping inundation risk and for its major aspects (hazard and vulnerability), varying from a continental scale to a local one.…”

Section: Introductionmentioning

confidence: 96%

Assessment of the flash flood potential of Bâsca River Catchment (Romania) based on physiographic factors

Minea

2013

Open Geosciences

View full text Add to dashboard Cite

Abstract:The purpose of this paper is to identify areas with high flash-flood potential based on an evaluation of physiographic factors controlling the formation of surface runoff. The research method relies on the use of the Flash Flood Potential Index (FFPI), which incorporates physiographic characteristics from the catchment (terrain slope, profile curvature, land use and soil texture). The spatial distribution of the physiographic factors (which contribute to the creation, control and concentration within the drainage network of the overland flow) and the classified zoning of areas according to their hydrological response were achieved with GIS techniques. The results obtained show that physiographic factors on 227 sq km (29%) favor surface runoff on slopes and its localization towards the drainage network. Notably, the highest values of FFPI belong to the lower part of the catchment, where high human population density can be found, reflecting an increased vulnerability to floods and inundations of this area.

show abstract

Risk assessment and mapping of extreme floods in non-dyked communities along the Elbe and Mulde Rivers

Cited by 12 publications

References 8 publications

Ice‐jam flood risk assessment and mapping

Ice‐jam flood risk assessment and mapping

Urban micro-scale flood risk estimation with parsimonious hydraulic modelling and census data

Assessment of the flash flood potential of Bâsca River Catchment (Romania) based on physiographic factors

Contact Info

Product

Resources

About