4.3.4. Baseline setting and assessing risk: strengthsand challengesRobust monitoring of the SDG targets will also require theuse of sound baselines, numbers used as a starting pointagainst which progress would be measured against. Thebaseline-setting methodology should be the same as themethod used to measure progress towards a target.As a very simplified categorization, three different optionsfor baseline setting could be envisaged, as put forward bythe scientific community. These include the use of averagelosses derived from observed historical data over a certainperiod of time; measuring progress using simplified hazard,exposure and vulnerability to measure levels of risk andcompare points in time; and measuring progress fromexpected losses from catastrophe models, to comparepoints in time. The two latter options compare theestimated risk at single points in time, such as 2015 to2030, and the baseline numbers of risk would be based onthe exposure and vulnerability in those particular years.The question of the method is also linked to the issue oftarget level setting, since enhanced data and use of riskassessments and probabilistic scenario models will directlycontribute to countries’ understanding of their risk profileand possible progress in the upcoming 15 years. Taking intoaccount current coverage of data sets and the state of riskassessments, the use of baselines based on observedhistorical losses might prove to be the most feasible optionfor the moment. However, risk assessments and modelsbased on scientific information also provide countriesimmensely useful tools in other spheres of DRR planningand are hence showcased here. A detailed assessmentcould be carried out for each of the options of thesuitability of methods and what can be achieved in acertain timeframe.Observed historical dataUsing observed disaster loss data as the baseline is thesimplest of the three options. However, it is important tomention that during the WCDRR discussions some notedthat even this would prove challenging at national level forsome countries due to the lack of loss data. In the SendaiFramework the Member States decided to use a 10-yearaverage as a measure for global targeted reduction ofmortality, and built this in the target: “Substantially reduceglobal disaster mortality by 2030, aiming to lower averageper 100,000 global mortality between 2020-2030 comparedto 2005-2015”. For economic losses a baseline was notspecified, as is the case with the SDG targets.Questions arise with respect to the 15-year timeframeproposed for the SDGs and whether the target will be onlyaddressed at the global level or also with countries settingappropriate national target levels. First, for naturaldisasters loss distributions are often dominated by theimpact of high-severity and low-frequency events (e.g.earthquakes, volcanic eruptions and earthquake-relatedtsunamis and landslides). This means that particularly atnational level there is unlikely to be a sufficient number ofevents occurring in a particular country to make statisticallysignificant comparisons between two 15-year periods ofobservation. While mortality might appear to be on therise, this trend might not be statistically significant and canchange depending on the time period chosen and theintensive disasters occurring in that period. One goodexample of this is Haiti, where from 1900 to 2009earthquakes killed fewer than 10 people, but then in the2010 earthquake an estimated 222,570 people werekilled 317 .Second, past experience shows that 15 years will allowcountries with some types of risk profiles, such as recurringfloods, to make significant progress in reducing mortality bybuilding effective defences and evacuation planning, whilefor others experiencing significant earthquakes, reducingthe existing risk exposure by re-building or retrofitting thebuilding stock, will prove much more challenging. Theseissues need to be taken into consideration when proposingappropriate target levels at national level.However, when assessing losses for smaller and localised,more frequent events, i.e. losses associated with extensivedisaster events, a significant upward trend can beobserved, both in national and in global loss data sets.There is a statistically significant trend towards increasingmortality in events with fewer than 100 deaths (Figure 4-3),and extensive disaster mortality is also increasing relativeto population size 318 . Hence, during the negotiations for theWCDRR, the UNISDR Secretariat proposed to monitor themortality target from national disaster databases using abaseline of 2005-2015 and adopting an appropriateprocedure to filter out low-frequency high-impact losses.For economic losses the Secretariat proposed combiningmodelled economic losses for smaller disasters fromnational disaster databases with assessed losses from largedisasters captured from international disaster databases 319 .78
Figure 4-3. Internationally reported global disaster mortality (events with fewer than 100 deaths) 320Assessed level of risk; hazard, exposure, vulnerability andcapacityAnother option for baseline setting would be to use theassessed level of risk (for mortality and economic losses)for the year 2015 as the baseline. In this option, thecountries could aim at bringing down their estimated riskby reducing their exposure or vulnerability to hazards andincreasing their capacities to deal with them. This wouldhelp to take better into consideration the existingsituations in different countries and the specific risk typesthey face, but would require a considerable amount ofadditional research to build countries’ risk, exposure,vulnerability and capacity profiles. In this case the countriescould monitor their progress by updating the riskassessments based on their actions.Risk assessment usually encompasses the systematic use ofavailable information to determine the likelihood of certainevents occurring and the magnitude of their possibleconsequences. As a process, it is generally agreed that itincludes: identifying the nature, location, intensity andprobability of a hazard; determining the existence anddegree of vulnerabilities and exposure to those hazards;identifying the capacities and resources available toaddress or manage hazards; and determining acceptablelevels of risk 321 . The first is often determined byestablishment of probabilistic hazard maps that serve asthe basis for assessment. These represent the hazardparameter (e.g. strength of ground shaking, flood depthetc.) expected at each location at a given annual probabilityof a hazard, and form the basis also for probabilisticmodels. For assessing vulnerability and capacity, severaldifferent methods exist.For SDG monitoring ODI for example has proposed 322 adifferentiated approach depending on the hazards faced,using three categories of hazard, based on the appropriatetype of responses: Category 1. would include hazards suchas floods and storms, where, for mortality reduction,evacuation of people is key. Category 2. would includehazards such as earthquakes where reduction of buildingvulnerability is key to reduce expected mortality rates.Category 3. would consist of slow-onset hazards, such asdrought, where appropriate action plans regarding forexample distribution of water and food are needed toreduce expected mortality rates. Simply summarized, forcategory 1 for example, probabilistic hazard would becombined with the exposure (number of people in adefined hazard area combined with the people covered byan evacuation plan, multiplied by an effectiveness factor ofthese plans) and vulnerability (the percentage of peopleexpected to die who do not evacuate). For category 2,hazard would be combined with exposure (number ofpeople and the buildings they are in) and vulnerability(fatality rates for certain types in buildings at certain levelsof ground shaking.For assessing economic losses, it would be necessary tocombine the hazard with estimated values ofbuildings/infrastructure/agricultural production in theaffected area. With categories 1 and 2 the vulnerability ofbuildings affected would need to be taken intoconsideration, while with drought the effectiveness ofmitigation efforts, such as coverage of irrigation systems,should be factored in. These calculations however wouldonly capture a portion of economic losses and, if so wished,costs of business and livelihood disruption would need tobe accounted for.79
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GLOBAL SUSTAINABLEDEVELOPMENT REPOR
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ForewordIn September 2015, world le
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3.1. Interlinked issues: oceans, se
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Box 5-10. Operationalizing inclusiv
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Figure 8-8. Location of ambulance u
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Hentinnen (DFID); Annabelle Moatty
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Friendship University of Russia, Ru
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List of Abbreviations and AcronymsA
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implementation (SDG17), peaceful an
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percentage of women holding a leade
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environment, in order to make stron
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technology transfer. Respect for ea
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SDGs What is measured? Data source
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UN SystementityECLAC Drafted and re
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Chapter 8. New Data Approaches for
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These novel Internet- and SMS-based
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GabonNamibiaNigerSenegalRep CongoC
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There are many well established met
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issues” in respective areas of ex
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Notes1 United Nations, Prototype Gl
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51 Contributions sent by national l
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112 The 72 models are: AIM, ASF, AS
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201 For more information, please vi
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276 A. R. Subbiah, Lolita Bildan, a
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354 Information available at: http:
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African Economic Outlook, Structura
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512 Report Of The International Min
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595 Jessica N. Reimer et.al, Health
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671 Pulselabkampala.ug, 'UNFPA Ugan
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732 Climate Change timeline: (a) Sc
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790 Oxfam. ICT in humanitarian prac
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863 T. Dinku. New approaches to imp