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IPCC_Managing Risks of Extreme Events.pdf - Climate Access

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Chapter 2Determinants <strong>of</strong> Risk: Exposure and Vulnerabilitysocioeconomic data at the lowest levels <strong>of</strong> aggregation) but also thehighly complex and dynamic interplay between the capacities <strong>of</strong> thecommunities (and the way they are distributed among communitymembers, including their power relationships) and the challenges theyface (including both persistent and acute aspects <strong>of</strong> vulnerability).To inform risk management, it is desirable that risk assessments arelocally based and result in increased awareness and a sense <strong>of</strong> localownership <strong>of</strong> the process and the options that may be employed toaddress the risks. Several participatory risk assessment methods, <strong>of</strong>tenbased on participatory rural appraisal methods, have been adjusted toexplicitly address changing risks in a changing climate. Examples <strong>of</strong>guidance on how to assess climate vulnerability at the community levelare available from several sources (see Willows and Connell, 2003;Moench and Dixit, 2007; van Aalst et al., 2007; CARE, 2009; IISD et al.,2009; Tearfund, 2009). In integrating climate change, a balance needs tobe struck between the desire for a sophisticated assessment that includeshigh-quality scientific inputs and rigorous analysis <strong>of</strong> the participatoryfindings, and the need to keep the process simple, participatory, andimplementable at scale. Chapter 5 provides further details on theimplementation <strong>of</strong> risk management at local levels.The International Standards Organization defines risk assessment as aprocess to comprehend the nature <strong>of</strong> risk and to determine the level <strong>of</strong>risk (ISO, 2009a,b). Additionally, communication within risk assessmentand management are seen as key elements <strong>of</strong> the process (Renn, 2008).More specifically, vulnerability and risk assessment deal with theidentification <strong>of</strong> different facets and factors <strong>of</strong> vulnerability and risk, bymeans <strong>of</strong> gathering and systematizing data and information, in order tobe able to identify and evaluate different levels <strong>of</strong> vulnerability and risk<strong>of</strong> societies – social groups and infrastructures – or coupled socioecologicalsystems at risk. A common goal <strong>of</strong> vulnerability and riskassessment approaches is to provide information about pr<strong>of</strong>iles, patterns<strong>of</strong>, and changes in risk and vulnerability (see, e.g., IDEA, 2005; Birkmann,2006a; Cardona, 2008; IFRC, 2008), in order to define priorities, selectalternative strategies, or formulate new response strategies. In thiscontext, the Hyogo Framework for Action stresses “that the startingpoint for reducing disaster risk and for promoting a culture <strong>of</strong> disasterresilience lies in the knowledge <strong>of</strong> the hazards and the physical, social,economic, and environmental vulnerabilities to disasters that mostsocieties face, and <strong>of</strong> the ways in which hazards and vulnerabilities arechanging in the short and long term, followed by action taken on thebasis <strong>of</strong> that knowledge” (UN, 2005).Vulnerability and risk assessments are key strategic activities thatinform both disaster risk management and climate change adaptation.These require the use <strong>of</strong> reliable methodologies that allow an adequateestimation and quantification <strong>of</strong> potential losses and consequences tothe human systems in a given exposure time.Risk estimates are thus intended to be prospective, anticipatingscientifically possible hazard events that may occur in the future.Usually technical risk analyses have been associated with probabilities.Taking into account epistemic and aleatory uncertainties the probabilisticestimations <strong>of</strong> risk attempt to forecast damage or losses even whereinsufficient data are available on the hazards and the system beinganalyzed (UNDRO, 1980; Fournier d’Albe, 1985; Spence and Coburn,1987; Blockley, 1992; Coburn and Spence, 1992; Sheldon and Golding,1992; Woo, 1999; Grossi and Kunreuther, 2005; Cardona et al., 2008a,b;Cardona 2011). In most cases, approaches and criteria for simplificationand for aggregation <strong>of</strong> different information types and sources are used,due to a lack <strong>of</strong> data or the inherent low resolution <strong>of</strong> the information. Thiscan result in some scientific or technical and econometric characteristics,accuracy, and completeness that are desirable features when the riskevaluation is the goal <strong>of</strong> the process (Cardona et al., 2003b). Measuressuch as loss exceedance curves and probable maximum loss for differentevent return periods are <strong>of</strong> particular importance for the stratification <strong>of</strong>risk and the design <strong>of</strong> disaster risk intervention strategy considering riskreduction, prevention, and transfer (Woo, 1999; Grossi and Kunreuther,2005; Cardona et al., 2008a,b; ERN-AL, 2011; UNISDR, 2011). However,it is also evident that more qualitative-oriented risk assessmentapproaches are focusing on deterministic approaches and the pr<strong>of</strong>iling<strong>of</strong> vulnerability using participatory methodologies (Garret, 1999).Vulnerability and risk indicators or indices are feasible techniques forrisk monitoring and may take into account both the harder aspects <strong>of</strong>risk as well as its s<strong>of</strong>ter aspects. The usefulness <strong>of</strong> indicators dependson how they are employed to make decisions on risk managementobjectives and goals (Cardona et al., 2003a; IDEA, 2005; Cardona, 2006,2008, 2010; Carreño et al., 2007b).However, quantitative approaches for assessing vulnerability need to becomplemented with qualitative approaches to capture the full complexityand the various tangible and intangible aspects <strong>of</strong> vulnerability in itsdifferent dimensions. It is important to recognize that complex systemsinvolve multiple variables (physical, social, cultural, economic, andenvironmental) that cannot be measured using the same methodology.Physical or material reality have a harder topology that allows the use<strong>of</strong> quantitative measure, while collective and historical reality have as<strong>of</strong>ter topology in which the majority <strong>of</strong> the attributes are described inqualitative terms (Munda, 2000). These aspects indicate that a weighingor measurement <strong>of</strong> risk involves the integration <strong>of</strong> diverse disciplinaryperspectives. An integrated and interdisciplinary focus can moreconsistently take into account the nonlinear relations <strong>of</strong> the parameters,the context, complexity, and dynamics <strong>of</strong> social and environmental systems,and contribute to more effective risk management by the differentstakeholders involved in risk reduction or adaptation decisionmaking.Results can be verified and risk management/adaptation priorities canbe established (Carreño et al., 2007a, 2009).To ensure that risk and vulnerability assessments are also understood,the key challenges for future vulnerability and risk assessments, in thecontext <strong>of</strong> climate change, are, in particular, the promotion <strong>of</strong> moreintegrative and holistic approaches; the improvement <strong>of</strong> assessmentmethodologies that also account for dynamic changes in vulnerability,exposure, and risk; and the need to address the requirements <strong>of</strong>91

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