Ermittlung des monetären Werteinventars als Basis von Analysen naturgefahreninduzierter Risiken in Tirol (Österreich)

Huttenlau, Matthias; Stötter, Johann

doi:10.5194/gh-63-85-2008

Cited by 8 publications

(13 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thereby the aggregated replacement values of buildings on the municipal level were divided by the residential area of each municipality of the land use map 2006 to obtain specific replacement values (EUR per m 2 ). In fact, these replacement values based on representative mean insurance values (see Huttenlau and Stötter, 2008 for details) overestimate the damage as they assume that the damaged object has to be replaced by a similar, new object . However, this assessment concept which is usually applied in insurance analyses to follow the adjustment of claims by insurance companies, fits more in the scope of this study since the observed loss in Sect.…”

Section: Asset Values and Additional Data For The Extended Modelsmentioning

confidence: 99%

“…This land use map was derived on the basis of the visual interpretation of true color orthophotographs (RGB) provided by the Tyrolean government. The land use data set of 2006, applied in previous studies of and , differentiates between nine land use classes on a spatial resolution of 50 m. For the estimation of the asset values of residential areas, we assigned aggregated replacement values of 2006 provided by Huttenlau and Stötter (2008) to the land use type "residential area" of . Thereby the aggregated replacement values of buildings on the municipal level were divided by the residential area of each municipality of the land use map 2006 to obtain specific replacement values (EUR per m 2 ).…”

Section: Asset Values and Additional Data For The Extended Modelsmentioning

confidence: 99%

See 1 more Smart Citation

Adaptability and transferability of flood loss functions in residential areas

Cammerer

Thieken

Lammel

2013

Nat. Hazards Earth Syst. Sci.

130

144

View full text Add to dashboard Cite

Abstract. Flood loss modeling is an important component within flood risk assessments. Traditionally, stage-damage functions are used for the estimation of direct monetary damage to buildings. Although it is known that such functions are governed by large uncertainties, they are commonly applied -even in different geographical regions -without further validation, mainly due to the lack of real damage data. Until now, little research has been done to investigate the applicability and transferability of such damage models to other regions. In this study, the last severe flood event in the Austrian Lech Valley in 2005 was simulated to test the performance of various damage functions from different geographical regions in Central Europe for the residential sector. In addition to common stage-damage curves, new functions were derived from empirical flood loss data collected in the aftermath of recent flood events in neighboring Germany. Furthermore, a multi-parameter flood loss model for the residential sector was adapted to the study area and also evaluated with official damage data. The analysis reveals that flood loss functions derived from related and more similar regions perform considerably better than those from more heterogeneous data sets of different regions and flood events. While former loss functions estimate the observed damage well, the latter overestimate the reported loss clearly. To illustrate the effect of model choice on the resulting uncertainty of damage estimates, the current flood risk for residential areas was calculated. In the case of extreme events like the 300 yr flood, for example, the range of losses to residential buildings between the highest and the lowest estimates amounts to a factor of 18, in contrast to properly validated models with a factor of 2.3. Even if the risk analysis is only performed for residential areas, our results reveal evidently that a carefree model transfer in other geographical regions might be critical. Therefore, we conclude that loss models should at least be selected or derived from related regions with similar flood and building characteristics, as far as no model validation is possible. To further increase the general reliability of flood loss assessment in the future, more loss data and more comprehensive loss data for model development and validation are needed.

show abstract

Section: Asset Values and Additional Data For The Extended Modelsmentioning

confidence: 99%

Section: Asset Values and Additional Data For The Extended Modelsmentioning

confidence: 99%

Adaptability and transferability of flood loss functions in residential areas

Cammerer

Thieken

Lammel

2013

Nat. Hazards Earth Syst. Sci.

130

144

View full text Add to dashboard Cite

show abstract

“…Thus, this topic represents a general key factor in the framework of risk analyses but has received only minor attention in the past (Koivumäki, 2010), In contrast to the methodological improvements and thorough discussions especially of hazard analysis approaches but also of vulnerability concepts (Koivumäki, 2010), only a few method descriptions and explicit case-studies are discussed in scientific literature (for more details see e.g. Huttenlau and Stötter, 2008). Hamann and Reese (2000) or Reese and Markau (2004) showed that partially high difference factors of the analysed elements and values are inherent between common methodologically addressed meso-and microscale approaches.…”

Section: The Risk Conceptmentioning

confidence: 99%

“…The cooperation with the regional insurance market leader (Tiroler Versicherung) enables the estimation of representative mean insurance sums for the study area. The overall procedure, the methodological concept, and the analysis results have been recently published by Huttenlau and Stötter (2008). However, to ensure traceability and to introduce the procedure in a broader international context the main steps of the procedure are briefly discussed (see also Fig.…”

Section: Exposure Analysismentioning

confidence: 99%

“…Nevertheless, within recent years enhanced technical capabilities and better geo-and statistical data allow a more sophisticated and spatially precise evaluation of the stock of elements and values. For instance, Huttenlau and Stötter (2008) have recently presented a method to estimate the stock of elements and values for a regional study on a detailed object-oriented approach. Thereby, first property-by-property flood risk analyses are already applied on national scale (e.g.…”

Section: The Risk Conceptmentioning

confidence: 99%

See 1 more Smart Citation

Risk-based damage potential and loss estimation of extreme flooding scenarios in the Austrian Federal Province of Tyrol

Huttenlau

Stötter

Stiefelmeyer

2010

Nat. Hazards Earth Syst. Sci.

Self Cite

View full text Add to dashboard Cite

Abstract. Within the last decades serious flooding events occurred in many parts of Europe and especially in 2005 the Austrian Federal Province of Tyrol was serious affected. These events in general and particularly the 2005 event have sensitised decision makers and the public. Beside discussions pertaining to protection goals and lessons learnt, the issue concerning potential consequences of extreme and severe flooding events has been raised. Additionally to the general interest of the public, decision makers of the insurance industry, public authorities, and responsible politicians are especially confronted with the question of possible consequences of extreme events. Answers thereof are necessary for the implementation of preventive appropriate risk management strategies. Thereby, property and liability losses reflect a large proportion of the direct tangible losses. These are of great interest for the insurance sector and can be understood as main indicators to interpret the severity of potential events. The natural scientific-technical risk analysis concept provides a predefined and structured framework to analyse the quantities of affected elements at risk, their corresponding damage potentials, and the potential losses. Generally, this risk concept framework follows the process steps hazard analysis, exposition analysis, and consequence analysis. Additionally to the conventional hazard analysis, the potential amount of endangered elements and their corresponding damage potentials were analysed and, thereupon, concrete losses were estimated. These took the specific vulnerability of the various individual elements at risk into consideration. The present flood risk analysis estimates firstly the general exposures of the risk indicators in the study area and secondly analyses the specific exposures and consequences of five extreme event scenarios. In order to precisely identify, localize, and characterize the relevant risk indicators of Correspondence to: M. Huttenlau (huttenlau@alps-gmbh.com) buildings, dwellings and inventory, vehicles, and individuals, a detailed geodatabase of the existing stock of elements and values was established on a single object level. Therefore, the localized and functional differentiated stock of elements was assessed monetarily on the basis of derived representative mean insurance values. Thus, well known difference factors between the analysis of the stock of elements and values on local and on regional scale could be reduced considerably. The spatial join of the results of the hazard analysis with the stock of elements and values enables the identification and quantification of the elements at risk and their corresponding damage potential. Thereupon, Extreme Scenario Losses (ESL) were analysed under consideration of different vulnerability approaches which describe the individual element's specific susceptibility. This results in scenario-specific ranges of ESL rather than in single values. The exposure analysis of the general endangerment in Tyrol identifies (i) 105 330 indiv...

show abstract

Historical development and future outlook of the flood damage potential of residential areas in the Alpine Lech Valley (Austria) between 1971 and 2030

Cammerer

Thieken

2013

Reg Environ Change

View full text Add to dashboard Cite

Ermittlung des monetären Werteinventars als Basis von Analysen naturgefahreninduzierter Risiken in Tirol (Österreich)

Cited by 8 publications

References 4 publications

Adaptability and transferability of flood loss functions in residential areas

Adaptability and transferability of flood loss functions in residential areas

Risk-based damage potential and loss estimation of extreme flooding scenarios in the Austrian Federal Province of Tyrol

Historical development and future outlook of the flood damage potential of residential areas in the Alpine Lech Valley (Austria) between 1971 and 2030

Contact Info

Product

Resources

About