Implementing tools to meet the Floods Directive requirements: a “procedure” to collect, store and manage damage data in the aftermath of flood events

Molinari, Daniela; Mazuran, Mirjana; Arias, Carolina; Minucci, Guido; Atun, Funda; Ardagna, Danilo

doi:10.2495/friar140181

Cited by 7 publications

(4 citation statements)

References 6 publications

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“…The Floods Directive, whose principles are based on safety and risk management, has similar foundations to the EUSF (Linnerooth-Bayer and Hochrainer-Stigler 2014). Additionally, it is now recognized that more reliable flood loss data are needed for damage accounting, forensic investigation of disaster events, and risk modeling (Molinari et al 2014); and that the EUSF can be used to make this kind of information available. However, it should also be noted that there is a lack of EU legislation in place for earthquakes and other geo-hazards.…”

Section: Disaster Risk Reductionmentioning

confidence: 99%

The European Union Solidarity Fund: an assessment of its recent reforms

Hochrainer‐Stigler

Linnerooth-Bayer

Lorant

2015

Mitig Adapt Strateg Glob Change

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After extensive flooding in 2002, the European Union Solidarity Fund (EUSF) was created as an ex post loss-financing vehicle for EU member states and candidate countries in the case of disasters that exceed the government's resources to cope. The EUSF is viewed as a valuable instrument for pooling risk among countries in Europe and potentially as a model for financing loss and damage from climate change in vulnerable countries worldwide. This paper assesses its future prospects taking account of reforms adopted in 2014. Our analysis is based on three recognized aims of the Solidarity Fund: its promotion of solidarity with those countries having the least capacity to cope with major disasters; its contribution to proactive disaster risk reduction and management (climate adaptation); and its robustness with regard to its risk of depletion (stress testing). Using a simulation approach for future disasters, we conclude that the reformed EUSF's risk of depletion, although it is reasonably robust to more frequent disasters, could be reduced by increasing member state contributions and/or engaging in risk transfer. The European Commission has taken important steps in linking the fund to proactive risk reduction; yet, by changing its budgeting practices, the commission could be more proactive in encouraging risk management in member states. In its current form, the EUSF does not embed needs-based solidarity. Lower-income Bnew^member states have received disproportionately less compensation in terms of eligible losses, although on average, they have received more disaster aid than what they contribute to the fund. Solidarity could be enhanced by changing the rules for disbursing aid. After briefly describing alternative riskpooling models in the Caribbean, Africa, and Europe, we suggest how design features of the EUSF as compared to other regional risk pools can inform discussions on the Warsaw International Loss and Damage Mechanism.Mitig Adapt Strateg Glob Change

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Section: Disaster Risk Reductionmentioning

confidence: 99%

The European Union Solidarity Fund: an assessment of its recent reforms

Hochrainer‐Stigler

Linnerooth-Bayer

Lorant

2015

Mitig Adapt Strateg Glob Change

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“…For a large hurricane event in 2014, Kim et al (2015) used Ushahidi to crowdsource damage due to fallen trees and from storm surge or flooding in Hawaii. Molinari et al (2014) developed their own system called Poli-RISPOSTA to collect flood damage information following flood events in Italy in support of the EU Floods Directive. Schnebele et al (2014) developed a methodology to generate a road damage map for New York City after Hurricane Sandy.…”

Section: Post-flood Eventmentioning

confidence: 99%

A Review of Citizen Science and Crowdsourcing in Applications of Pluvial Flooding

See

2019

Front. Earth Sci.

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Pluvial flooding can have devastating effects, both in terms of loss of life and damage. Predicting pluvial floods is difficult and many cities do not have a hydrodynamic model or an early warning system in place. Citizen science and crowdsourcing have the potential for contributing to early warning systems (EWS) and can also provide data for validating flood forecasting models. Although there are increasing applications of citizen science and crowdsourcing in fluvial hydrology, less is known about activities related to pluvial flooding. Hence the aim of this paper is to review current activities in citizen science and crowdsourcing with respect to applications of pluvial flooding. Based on a search in Scopus, the papers were first filtered for relevant content and then classified into four main themes. The first two themes were divided into (i) applications relevant during a flood event, which includes automated street flooding detection using crowdsourced photographs and sensors, analysis of social media, and online and mobile applications for flood reporting; and (ii) applications related to post-flood events. The use of citizen science and crowdsourcing for model development and validation is the third theme while the development of integrated systems is theme four. All four main areas of research have the potential to contribute to EWS and build community resilience. Moreover, developments in one will benefit others, e.g., further developments in flood reporting applications and automated flood detection systems will yield data useful for model validation.

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“…A first problem relates to the huge amount and heterogeneity of the data to be managed (Molinari et al, 2014b). An integrated picture of flood impacts requires information not only on the damage, but also on its explicative variables; knowledge about the physical effects of the forcing event (such as flooded areas, water depth and velocity, etc.…”

Section: Challengesmentioning

confidence: 99%

“…The core component of the IS architecture (Figure ) is a PostGIS DB, designed to fulfil the requirements for data management described in Molinari et al . () and briefly recalled in the second section of this paper.…”

Section: The Risposta Procedures In Detailmentioning

confidence: 99%

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

Ballio

Molinari

Minucci

et al. 2015

J Flood Risk Management

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Despite the perceived abundance of information collected after a disaster, available\ud data furnish a narrow picture of flood impacts, or they are difficult to\ud compare so as to produce an integrated interpretation of flood events. This is\ud due to the diversity of the purposes for which data are collected and the variety\ud of stakeholders involved in data collection and management. The RISPOSTA\ud procedure addresses the need for standardised ways to collect flood damage data\ud and to create consistent and reliable flood databases that meet the objectives of\ud risk mitigation. In this regard, the procedure satisfies several requirements of\ud loss data: (1) the data should refer to the different exposed sectors so as to supply\ud a comprehensive view of flood impacts; (2) they should be collected at the finest\ud scale so that the proper scale of analysis can be chosen by subsequent data\ud aggregation; (3) they should be linked to the physical event as well as to the\ud features of the different exposed elements so as to supply information on both\ud flood impacts and their explicative variables; and (4) they should be collected at\ud different times according to the unfolding of the event in order to describe the\ud entire range of possible damage

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Implementing tools to meet the Floods Directive requirements: a “procedure” to collect, store and manage damage data in the aftermath of flood events

Cited by 7 publications

References 6 publications

The European Union Solidarity Fund: an assessment of its recent reforms

The European Union Solidarity Fund: an assessment of its recent reforms

A Review of Citizen Science and Crowdsourcing in Applications of Pluvial Flooding

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

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