The RISPOSTA procedure for the collection, storage and analysis of high quality, consistent and reliable damage data in the aftermath of floods

Ballio, Francesco; Molinari, Daniela; Minucci, Guido; Mazuran, Mirjana; Muñoz, Carolina Arias; Menoni, Scira; Atun, Funda; Ardagna, Danilo; Berni, Nicola; Pandolfo, Claudia

doi:10.1111/jfr3.12216

Cited by 20 publications

(16 citation statements)

References 10 publications

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“…Damage calculations are carried out within the RASOR platform (Silvestro et al, 2016;Rudari and RASOR TEAM, 2015;Koudogbo et al, 2014). It is widely acknowledged 80 that a flood damage estimation without validation against local historical loss data may sound weak (Ballio et al, 2015). Unfortunately for the presented case study such data are not available.…”

Section: Expected Annual Damage (Ead)mentioning

confidence: 99%

Quantification of flood risk mitigation benefits: A building-scale damage assessment through the RASOR platform

Arrighi

Rossi

Trasforini

et al. 2018

Journal of Environmental Management

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Flood risk mitigation usually requires a significant investment of public resources and cost-effectiveness should be ensured. The assessment of the benefits of hydraulic works requires the quantification of (i) flood risk in absence of measures,(ii) risk in presence of mitigation works, (iii) investments to achieve acceptable residual risk. In this work a building-scale is adopted to estimate direct tangible flood losses to several building classes (e.g. residential, industrial, commercial, However, the results show that although hydraulic works are cost-effective, a significant residual risk has to be managed and the achievement of the desired level of acceptable risk would require about 1 billion euros of investments.

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Section: Expected Annual Damage (Ead)mentioning

confidence: 99%

Quantification of flood risk mitigation benefits: A building-scale damage assessment through the RASOR platform

Arrighi

Rossi

Trasforini

et al. 2018

Journal of Environmental Management

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“…A description of the complete flood scenario is beyond the scope of the paper. Interested readers can refer to the Supplement; moreover, a report is available for Italian speakers (Ballio et al, 2015). Rather, the scenario is used here to demonstrate how the information structure proposed by our model (i.e., the five logical axes) supports an integrated interpretation of the flood event that, in its turn, meets the requirements of a consistent forensic investigation among other possible uses.…”

Section: Enhanced Experiences Of Disaster Damage Data Collection and mentioning

confidence: 99%

“…Generally, a good coverage of required data is observed thanks to the implementation of the RISPOSTA procedure for data collection (Molinari et al, 2014a;Ballio et al, 2015), which has been developed to feed the damage model proposed in this paper with data. Table 2 also shows some problems of data availability, due to the difficulty of obtaining them from some segments of the private sector (like in the case of some infrastructures) and due to the incompleteness of information related to some indirect and intangible damage (like damage to people and environment).…”

Section: Enhanced Experiences Of Disaster Damage Data Collection and mentioning

confidence: 99%

“…Furthermore, data collected and processed in the same way for key variables will also permit statistical evidence to be obtained in the long run for some variables that are only accounted for in a qualitative way at present. Here the reference is certainly to systemic effects and to indirect damage and loss: quantitative values can be found with respect to such variables in literature and case studies; however they mostly derive from modeling and are hard to verify and validate with real numbers coming from the field (Carrera et al, 2015).…”

Section: Conditions For the Viability Of The Proposed Damage Modelmentioning

confidence: 99%

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Flood damage: a model for consistent, complete and multipurpose scenarios

Menoni

Molinari

Ballio

et al. 2016

Nat. Hazards Earth Syst. Sci.

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Abstract. Effective flood risk mitigation requires the impacts of flood events to be much better and more reliably known than is currently the case. Available post-flood damage assessments usually supply only a partial vision of the consequences of the floods as they typically respond to the specific needs of a particular stakeholder. Consequently, they generally focus (i) on particular items at risk, (ii) on a certain time window after the occurrence of the flood, (iii) on a specific scale of analysis or (iv) on the analysis of damage only, without an investigation of damage mechanisms and root causes. This paper responds to the necessity of a more integrated interpretation of flood events as the base to address the variety of needs arising after a disaster. In particular, a model is supplied to develop multipurpose complete event scenarios. The model organizes available information after the event according to five logical axes. This way post-flood damage assessments can be developed that (i) are multisectoral, (ii) consider physical as well as functional and systemic damage, (iii) address the spatial scales that are relevant for the event at stake depending on the type of damage that has to be analyzed, i.e., direct, functional and systemic, (iv) consider the temporal evolution of damage and finally (v) allow damage mechanisms and root causes to be understood. All the above features are key for the multi-usability of resulting flood scenarios. The model allows, on the one hand, the rationalization of efforts currently implemented in ex post damage assessments, also with the objective of better programming financial resources that will be needed for these types of events in the future. On the other hand, integrated interpretations of flood events are fundamental to adapting and optimizing flood mitigation strategies on the basis of thorough forensic investigation of each event, as corroborated by the implementation of the model in a case study.

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“…Frequently, the lack of data on losses induces experts to define synthetic stage-damage functions with poor validation. That is why there is a general agreement in the scientific community that damage data should be systematically collected and interpreted in order to better assess ex ante potential losses [19]. Transferability of vulnerability functions is also debated since building features and typologies change significantly from country to country (or regions) [20].…”

Section: Introductionmentioning

confidence: 99%

Empirical flash flood vulnerability functions for residential buildings

Arrighi

Mazzanti²,

Pistone³

et al. 2020

SN Appl. Sci.

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The estimation of flood losses is crucial for the quantitative estimation of risk and the cost-benefit analysis of risk mitigation and prevention measures. Flood losses are usually estimated by means of vulnerability functions, which are often developed in a synthetic way by experts, since loss datasets collected after events are sparse or lacking and mostly refer to slow riverine inundations. Simple univariable empirical vulnerability functions are recognized as a more valuable tool with respect to synthetic curves developed for different contexts. The aim of this work is to derive empirical vulnerability functions for a flash flood event which occurred in Livorno (Italy) in September 2017, based on the hydrologic-hydraulic reconstruction of the flood and observed losses to residential properties. The hydrologic processes are reproduced with a distributed hydrologic model, and the flood propagation is simulated with a full 2D model. Many open GIS data are used and combined with virtual on-site inspection in the study area to analyze building exposure. Different regression curves are tested to fit the data and obtain damage curves. The results show (i) a poor correlation between relative or absolute losses and flow velocity, (ii) a low correlation between relative losses and water depth, thus confirming the existing literature. More significant correlation is found between absolute losses and water depths. The curves here derived provide a first attempt to develop damage functions for flash flood in Italy, which could be applied in similar urban and morphologic contexts.

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The RISPOSTA procedure for the collection, storage and analysis of high quality, consistent and reliable damage data in the aftermath of floods

Cited by 20 publications

References 10 publications

Quantification of flood risk mitigation benefits: A building-scale damage assessment through the RASOR platform

Quantification of flood risk mitigation benefits: A building-scale damage assessment through the RASOR platform

Flood damage: a model for consistent, complete and multipurpose scenarios

Empirical flash flood vulnerability functions for residential buildings

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