Regional risk assessment for contaminated sites Part 1: Vulnerability assessment by multicriteria decision analysis

Zabeo, Alex; Pizzol, Lisa; Agostini, Paola; Critto, Andrea; Giove, Silvio; Marcomini, Antonio

doi:10.1016/j.envint.2011.05.005

Cited by 84 publications

(56 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Prior to this, a normalization process has been performed for each of the analysed receptor in order to rescale the receptor-related risk scores on a numerical scale between 0 and 1 and, therefore, to allow for comparison among (relative) risks expressed in different units of measurement (Zabeo et al, 2011). Within this study, the normalization has been implemented at the CLC polygon level for people, infrastructure and cultural heritage.…”

Section: Weighting Processmentioning

confidence: 99%

KULTURisk regional risk assessment methodology for water-related natural hazards – Part 2: Application to the Zurich case study

Ronco

Bullo

Torresan

et al. 2015

Hydrol. Earth Syst. Sci.

Self Cite

View full text Add to dashboard Cite

Abstract. The aim of this paper is the application of the KULTURisk regional risk assessment (KR-RRA) methodology, presented in the companion paper (Part 1, Ronco et al., 2014), to the Sihl River basin, in northern Switzerland. Flood-related risks have been assessed for different receptors lying on the Sihl River valley including Zurich, which represents a typical case of river flooding in an urban area, by calibrating the methodology to the site-specific context and features. Risk maps and statistics have been developed using a 300-year return period scenario for six relevant targets exposed to flood risk: people; economic activities: buildings, infrastructure and agriculture; natural and semi-natural systems; and cultural heritage. Finally, the total risk index map has been produced to visualize the spatial pattern of flood risk within the target area and, therefore, to identify and rank areas and hotspots at risk by means of multi-criteria decision analysis (MCDA) tools. Through a tailored participatory approach, risk maps supplement the consideration of technical experts with the (essential) point of view of relevant stakeholders for the appraisal of the specific scores weighting for the different receptor-relative risks. The total risk maps obtained for the Sihl River case study are associated with the lower classes of risk. In general, higher (relative) risk scores are spatially concentrated in the deeply urbanized city centre and areas that lie just above to river course. Here, predicted injuries and potential fatalities are mainly due to high population density and to the presence of vulnerable people; flooded buildings are mainly classified as continuous and discontinuous urban fabric; flooded roads, pathways and railways, most of them in regards to the Zurich central station (Hauptbahnhof) are at high risk of inundation, causing severe indirect damage. Moreover, the risk pattern for agriculture, natural and semi-natural systems and cultural heritage is relatively less important mainly because the scattered presence of these assets. Finally, the application of the KR-RRA methodology to the Sihl River case study, as well as to several other sites across Europe (not presented here), has demonstrated its flexibility and the possible adaptation of it to different geographical and socioeconomic contexts, depending on data availability and particulars of the sites, and for other (hazard) scenarios.

show abstract

Section: Weighting Processmentioning

confidence: 99%

KULTURisk regional risk assessment methodology for water-related natural hazards – Part 2: Application to the Zurich case study

Ronco

Bullo

Torresan

et al. 2015

Hydrol. Earth Syst. Sci.

Self Cite

View full text Add to dashboard Cite

show abstract

“…In this case, the physical/environmental assessment results in the estimation of the length (km) and the percentage of infrastructure potentially affected by flood in each CORINE land cover polygon, in the form of tables (summarizing the statistics) and maps (highlighting the areas at risk). Again, this step requires a phase of normalization aimed at re-scaling the receptorrelated risk scores into a common numerical scale (0-1) (Zabeo et al, 2011). For infrastructure, the normalization is performed considering the length of flooded items in each polygon and the total length within the same polygon, as in Eq.…”

Section: Risk Assessmentmentioning

confidence: 99%

“…no flood warning; rapid flooding; area with mobile homes, busy roads, parks, single storey schools, campsites). Moreover, in order to aggregate the different receptorrelated (relative) risks for the computation of the total risk, a phase of normalization aimed at re-scaling the receptorrelated risk scores into a common closed numerical scale is required (Zabeo et al, 2011). The normalization is performed at the CORINE polygon scale, according to the available data set.…”

Section: Risk Assessmentmentioning

confidence: 99%

“…CORINE land cover polygons related to residential and commercial-industrial areas) in each risk class, in the form of tables (summarizing the statistics) and maps (highlighting the areas at different risks). Finally, a normalization aimed at re-scaling the receptor-related risk scores into a common numerical scale (0-1) is performed (Zabeo et al, 2011) according to the scores proposed in Table 2 that have been defined by the authors using a dedicated qualitative evaluation. Of course, different scores based on site-specific knowledge, literature data and expert judgement can be assigned during the application of the proposed methodology.…”

Section: Risk Assessmentmentioning

confidence: 99%

See 1 more Smart Citation

The KULTURisk Regional Risk Assessment methodology for water-related natural hazards – Part 1: Physical–environmental assessment

Ronco

Gallina

Torresan

et al. 2014

Hydrol. Earth Syst. Sci.

Self Cite

View full text Add to dashboard Cite

Abstract. In recent years, the frequency of catastrophes induced by natural hazards has increased, and flood events in particular have been recognized as one of the most threatening water-related disasters. Severe floods have occurred in Europe over the last decade, causing loss of life, displacement of people and heavy economic losses. Flood disasters are growing in frequency as a consequence of many factors, both climatic and non-climatic. Indeed, the current increase of water-related disasters can be mainly attributed to the increase of exposure (elements potentially at risk in flood-prone area) and vulnerability (i.e. economic, social, geographic, cultural and physical/environmental characteristics of the exposure). Besides these factors, the undeniable effect of climate change is projected to strongly modify the usual pattern of the hydrological cycle by intensifying the frequency and severity of flood events at the local, regional and global scale. Within this context, the need for developing effective and pro-active strategies, tools and actions which allow one to assess and (possibly) to reduce the flood risks that threatens different relevant receptors becomes urgent. Several methodologies to assess the risk posed by water-related natural hazards have been proposed so far, but very few of them can be adopted to implement the last European Flood Directive (FD). This paper is intended to introduce and present a state-of-the-art Regional Risk Assessment (RRA) methodology to appraise the risk posed by floods from a physical-environmental perspective. The methodology, developed within the recently completed FP7-KULTURisk Project (Knowledge-based approach to develop a cULTUre of Risk prevention -KR) is flexible and can be adapted to different case studies (i.e. plain rivers, mountain torrents, urban and coastal areas) and spatial scales (i.e. from catchment to the urban scale). The FD compliant KR-RRA methodology is based on the concept of risk being function of hazard, exposure and vulnerability. It integrates the outputs of various hydrodynamic models with site-specific bio-geophysical and socio-economic indicators (e.g. slope, land cover, population density, economic activities etc.) to develop tailored risk indexes and GIS-based maps for each of the selected receptors (i.e. people, buildings, infrastructure, agriculture, natural and semi-natural systems, cultural heritage) in the considered region. It further compares the baseline scenario with alternative scenarios, where different structural and/or non-structural mitigation measures are planned and eventually implemented. As demonstrated in the companion paper (Part 2, Ronco et al., 2014), risk maps, along with related statistics, allow one to identify and classify, on a relative scale, areas at risk which are more likely to be affected by floods and support the development of strategic adaptation and prevention measures to minimizing flood impacts. In addition, the outcomes of the RRA can be eventually used for a further socio-economic assessment, cons...

show abstract

“…MCDM is particularly suitable for handling preference based aggregation and has the ability to handle both qualitative and quantitative criteria. MCDM techniques include ELECTRE (Elimination et Choice Translating Reality) [2], SAW(Simple Adaptive Weighting) [3], TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) [4], AHP (Analytical Hierarchy Process) [4], ANP(Analytic Network Process) [5] and SMART (Simple Multi Attribute Rating Technique) [7] to name a few. Whilst there are several MCDM techniques in use, they lack the ability to consider preferences among alternatives.…”

Section: Introductionmentioning

confidence: 99%

A fuzzy interval valued fusion technique for multi-modal 3D face recognition

Ramalingam

Maheswari²

2016

2016 IEEE International Carnahan Conference on Security Technology (ICCST)

View full text Add to dashboard Cite

Abstract-This paper proposes a fuzzy interval valued multicriteria decision making (MCDM) technique that aggregates information from multi-modal feature sets during decision making in a 3D face recognition system. In this paper, an interval valued fuzzy TOPSIS technique is applied to a 3D face recognition system that is benchmarked against a set of databases. Such a system is shown to be useful in decision making when the choice of alternatives of the feature sets is combinatorial and complex.

show abstract

Regional risk assessment for contaminated sites Part 1: Vulnerability assessment by multicriteria decision analysis

Cited by 84 publications

References 26 publications

KULTURisk regional risk assessment methodology for water-related natural hazards – Part 2: Application to the Zurich case study

KULTURisk regional risk assessment methodology for water-related natural hazards – Part 2: Application to the Zurich case study

The KULTURisk Regional Risk Assessment methodology for water-related natural hazards – Part 1: Physical–environmental assessment

A fuzzy interval valued fusion technique for multi-modal 3D face recognition

Contact Info

Product

Resources

About