A Delphi Method Expert Survey to Derive Standards for Flood Damage Data Collection

Elmer, F.; Seifert, Isabel; Kreibich, Heidi; Thieken, Annegret H.

doi:10.1111/j.1539-6924.2009.01325.x

Cited by 52 publications

(35 citation statements)

References 21 publications

(31 reference statements)

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“…The items included here were derived from an expert survey aimed at reaching a consensus on information items at the object level. Such a consensus is of utmost importance for the development of micro-scale damage models in different sectors (see Elmer et al, 2010b;Thieken et al, 2010).…”

Section: Lack Of Data Sourcesmentioning

confidence: 99%

Review article: Assessing the costs of natural hazards – state of the art and knowledge gaps

Meyer

Becker

Markantonis

et al. 2013

Nat. Hazards Earth Syst. Sci.

381

385

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Efficiently reducing natural hazard risks requires a thorough understanding of the costs of natural hazards. Current methods to assess these costs employ a variety of terminologies and approaches for different types of natural hazards and different impacted sectors. This may impede efforts to ascertain comprehensive and comparable cost figures. In order to strengthen the role of cost assessments in the development of integrated natural hazard management, a review of existing cost assessment approaches was undertaken. This review considers droughts, floods, coastal and Alpine hazards, and examines different cost types, namely direct tangible damages, losses due to business interruption, indirect damages, intangible effects, and the costs of risk mitigation. This paper provides an overview of the state-of-the-art cost assessment approaches and discusses key knowledge gaps. It shows that the application of cost assessments in practice is often incomplete and biased, as direct costs receive a relatively large amount of attention, while intangible and indirect effects are rarely considered. Furthermore, all parts of cost assessment entail considerable uncertainties due to insufficient or highly aggregated data sources, along with a lack of knowledge about the processes leading to damage and thus the appropriate models required. Recommendations are provided on how to reduce or handle these uncertainties by improving data sources and cost assessment methods. Further recommendations address how risk dynamics due to climate and socio-economic change can be better considered, how costs are distributed and risks transferred, and in what ways cost assessment can function as part of decision support

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Section: Lack Of Data Sourcesmentioning

confidence: 99%

Review article: Assessing the costs of natural hazards – state of the art and knowledge gaps

Meyer

Becker

Markantonis

et al. 2013

Nat. Hazards Earth Syst. Sci.

381

385

View full text Add to dashboard Cite

show abstract

“…Pielke and Downton, 2000;Hohl et al, 2002;Elmer et al, 2010;Gall et al, 2009;André et al, 2013). The same is true for rainstorms; little research has focused on the collection of rainstorm damage data, the understanding of mechanisms causing damage and the deepening of statistical methods to analyse damage data.…”

Section: H Spekkers Et Al: On the Occurrence Of Rainstorm Damagementioning

confidence: 99%

On the occurrence of rainstorm damage based on home insurance and weather data

Spekkers

Clemens

Veldhuis

2015

Nat. Hazards Earth Syst. Sci.

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Abstract. Rainstorm damage caused by the malfunction of urban drainage systems and water intrusion due to defects in the building envelope can be considerable. Little research on this topic focused on the collection of damage data, the understanding of damage mechanisms and the deepening of data analysis methods. In this paper, the relative contribution of different failure mechanisms to the occurrence of rainstorm damage is investigated, as well as the extent to which these mechanisms relate to weather variables. For a case study in Rotterdam, the Netherlands, a property level home insurance database of around 3100 water-related damage claims was analysed. The records include comprehensive transcripts of communication between insurer, insured and damage assessment experts, which allowed claims to be classified according to their actual damage cause. The results show that roof and wall leakage is the most frequent failure mechanism causing precipitation-related claims, followed by blocked roof gutters, melting snow and sewer flooding. Claims related to sewer flooding were less present in the data, but are associated with significantly larger claim sizes than claims in the majority class, i.e. roof and wall leakages. Rare events logistic regression analysis revealed that maximum rainfall intensity and rainfall volume are significant predictors for the occurrence probability of precipitation-related claims. Moreover, it was found that claims associated with rainfall intensities smaller than 7-8 mm in a 60-min window are mainly related to failure processes in the private domain, such as roof and wall leakages. For rainfall events that exceed the 7-8 mm h −1 threshold, the failure of systems in the public domain, such as sewer systems, start to contribute considerably to the overall occurrence probability of claims. The communication transcripts, however, lacked information to be conclusive about to which extent sewer-related claims were caused by overloading of sewer systems or failure of system components.

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“…Moreover, diverse motivations drive stakeholders to characterize disaster impacts, but less is still known about the rank of the type of data that is more relevant to be collected, although recent research on this subject has been conducted showing, among other findings, the relevance of expressing both direct and indirect damages in monetary terms [18] (p. 121). Additionally, flood impact data collection still lacks standardization and systematization [19,20].…”

Section: Contextualizationmentioning

confidence: 99%

Basin Flood Risk Management: A Territorial Data-Driven Approach to Support Decision-Making

Santos

Tavares

2015

Water

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This paper explores the applicability of flood impact databases in the flood risk governance process. This study begins with a twofold analysis of three hydrographical basins: one analysis based on the data of a recently constructed flood-impact database for Portugal and another based on selected socioeconomic and biophysical variables that characterize the basins' territorial context. From these sets of data, two fuzzy inference systems are assembled: one for the resource criteria and another for the time criteria. When plotted, the fuzzy analysis results are associated with distinct flood risk management strategies: operational and strategic, hard and soft measure-based. The three basins differ substantially in terms of flood-impact characteristics, with impacts being distinguished in terms of human and material consequences. Socioeconomic factors seem to be more explicative of flood impacts than the biophysical contexts that generate floods. The fuzzy logic analysis suggested priorities of action: early warning and information for one of the basins (Mondego) and a less operational solution, combining structural mitigation and land-use planning, for the other two basins (Lis and Vouga). Considering the current implementation of the Floods Directive, design of flood risk maps and flood risk management plans can benefit from the integration of the presented methodology.

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A Delphi Method Expert Survey to Derive Standards for Flood Damage Data Collection

Cited by 52 publications

References 21 publications

Review article: Assessing the costs of natural hazards – state of the art and knowledge gaps

Review article: Assessing the costs of natural hazards – state of the art and knowledge gaps

On the occurrence of rainstorm damage based on home insurance and weather data

Basin Flood Risk Management: A Territorial Data-Driven Approach to Support Decision-Making

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