to train smarter disaster managers through better applying science...
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2015/HLPD-STHE/015 Session 2-3
To Train Smarter Disaster Managers Through Better Applying Science and Technology
Purpose: Information
Submitted by: Chinese Taipei
High Level Policy Dialogue on Science and Technology in Higher Education
Manila, Philippines13-14 August 2015
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Totrainsmarterdisastermanagersthroughbetterapplyingscienceandtechnology
WeiSenLiSecretaryGeneral,NationalSceinceandTechnologyCenterforDisasterReduction,ChineseTaipei
CoChairAPECEmergencyPreparedness
2015APECHIGHLEVELPOLICYDIALOGUEONSCIENCEANDTECHNOLOGYINHIGHEREDUCATION,MANILA,PHILIPPINES
scientificbaseddisasterriskmanagement
APECregionahighlydisasterpronearea
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EarthquakeChina, 2008
Earthquake & Tsunami Japan, 2011
TyphoonPhilippines,2013
Debris flow China, 2010
FloodThailand, 2011
Recurrenceoflargescaledisasters
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Vulnerableglobalsupplychain Economicactivitiesexposedtonaturalhazards Widerconsiderationofimpactsbydisasters Roleandparticipationofprivatesectors (FloodinThailand,2011)
Increasingpopulation Rapidandunplannedurbanization Poorlanduse Climatechange(FloodinthePhilippines,2009)
Newchallenges andNewnormal unprecedentedbecomesnormal
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RecentReportbyMaplecroft,2011economicactivitiesexposedtonaturalhazards
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ChineseTaipei
Russia
Philippines
China
Japan
Indonesia
Australia
NewZealand
USA
ExtremeriskHighriskMediumriskLowriskNoData
10oftop20areAPECmembereconomies
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Maplecroft's SocioeconomicResilienceIndex2013mitigate,prepareforandrespondtonaturaldisasters
ChineseTaipei
FactorsleadingtolowriskinChineseTaipei Transparentrisk
WebsitetodownloadRiskmapsofflood,landslideanddebrisflow
Wellorganizedlegalframeworks DisasterPreventionandResponseAct(2000~)
OfficeofDisasterManagement(2009~)
Activeparticipationbyprivatesector
NGOsandNPOs Communities Academia,professionalgroups
Missionfordisastermanagerstocarryoutmicroormacroscale;answerorsolution
Ontextbook,onlyoneanswerForasolution,
overallunderstandingisbasic
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Innovationofdisasterresiliencebuildingincivilsociety howS&Thelptounderstandnaturalhazards
Hazard
Impacts
NowPREDICTION
PREDICTION
ResponsesPREDICTION
GordonMcBean
TraditionalEarlyWarningSystem(Science&Tech)
Tounderstandcharacterizesofnaturalhazard
byobservationsandmodels
ExtendedEarlyWarningSystem
(Social&Economic)
ToestimateimpactsbyIntegratingsocialscienceandimprovingdecisions
HumancenteredEarlyWarningSystem
(EducationandCapacity)
HumancenteredEarlyWarningSystem
(EducationandCapacity)
NOGs Riskcommunicationatcommunities Easilyunderstandable
Evacuation Totellroutes,sheltersandrisk
potential Clearlytotakeactions
Emergencyoperation Decisionmaking,commonoperating
picture Integratedproducts
Riskassessment Tobereferenceofinsuranceorrisk
identification Prepareformultiplehazards
Urbanplanningandlanduse Tocontrolrisks Sustainability
Businesscontinuityplan Toprotectemployees,estatesand
profits Privatesectorsinvolvement
Drill Tosetupscenarioswithdifferent
levelsofrisk Connectallstakeholders
Makingplans Toenhanceresilience,preparedness,
responsesandrecovery Before,duringandafteradisaster
TargetapplicationsofS&Tfordisasterriskreduction diverseandcomplicated
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Fourprioritiesfornext15yearslistedintheSendaiFrameworkforDisasterRiskReduction(SFDRR)
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02
03
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Strengtheningdisasterriskgovernancetomanagedisasterrisk
EnhancingdisasterpreparednessforeffectiveresponseandBuildBackBetter
Understandingdisasterrisk
Investingindisasterriskreductionforresilience
ExampleofusingS&TduringtyphoonemergencyoperationinCT scientists,emergencyrespondersanddecisionmakers
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Water pump
Personnel dispatch
Early evacuation
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Observationsandmeasurementsprovideevidenceforweatherforecastinganddecisionmaking(lastweek)
CWB andNTU
Latest 24hr (200mm/24hr)Yilan County: Warning areasToucheng Jiaoxi ZhuangweiYuanshan Yilan City WujieSanxin Luodong DongshanSuaoMajor flooded areas
Estimated floods in24hrs based on forecastissued by CBW
Toucheng
Jiaoxi
Yilan City
Wujie
Luodong
DongshanSuao
Sanxin
Yuanshan
Flood Depth
0.31.0m 1.02.0m 2.03.0m > 3.0m
0.51.0
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Warning
Yilan County
Floodsscenariowithfactorsoftime,locationsandimpacts clearmessagestodecisionmakers
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Evidencebasedemergencyoperation Earlyevacuation tomakedecisionsbasedonscienceandtechnology
PotentialRiskMapofdebrisflowattownshiplevel
Accumulatedrainfallupto 400600mm
Scientificevidence tocarryoutearlyevacuation
Thresholdvalueofdebris flow
200mmaccumulatedrainfallin24hrs
Forecastofrainfall
Intensityofrainfall(Model)
Criticalpointatmidnight
Redalert(Historicaldata)
Thebestperiodoftimetoevacuateresidents Daytime Arrangedtransportation
Observeddata
Historicaldata
Observeddata
Numericalmodels
TakeAction!
TyphoonKongReyin2013
CaseofsuccessfulearlyevacuationduringTyphoonFanapi ,inLaiYivillage,Sep.2010
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9/1805:30
9/1908:4014:00 15:00 23:00
Issuelandwarning
Earlywarningofrisk
Evacuationoperation
Typhoonlandfalltime
LandsideinLaiYi
1. Buriedhouses:502. Causality:03. 400residentsevacuated
32hoursahead
2009afterTyphoonMorakot
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Proactiveevacuation
Redalert
Yellowalert
Evacuationcompleted
Mudflowhappened
Leadtime16hrs
CaseofsuccessfulearlyevacuationduringTyphoonSoudelor inLaiYivillage,Aug.7,2015
SoilandWaterConservationBureau
()
( )
( )
mapping
field survey
Relevant resource
environmental & social vulnerability
Past disasters
Understandablehazardmapasatoolforriskcommunicationstotellbothphysicalandsocialvulnerability
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RiskIdentificationthroughparticipationbylocalresidentsmakeS&Tunderstandable
Dialogues,Assessment,TrainingandScenariobaseddrill knowledgetransfer
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Assessment
Training Scenariobaseddrill
GroupDiscussion
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Communitylevelhazardmapforaindigenoustribe anoperationguideline
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Casualtiescausebycollapsedbuildings
SimulatedEQ
Landslides
Liquefaction
Systemfailures
Powersupply
Watersupply
Transportation
Scenariobasedanalysisforurbanarea integratedknowledgetosolvechallenges
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Todevelopinformationbasedpreparednessandscenariosonearthquakes tofindtheurgentneeds
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Amodelofcrosscuttingcollaboration ascientificlinkageamongrelevantstakeholders
NCDR
MinistryofSceinceandTechnology
SuperviseProvidefunds
Proposetopics
Since2003
100fulltimestaffNaturalscience
SocialscienceEngineering
EmergencymanagementBusinessmanagement
MajorservicesS&TtransferS&TinnovationKnowledgebaseDatabaseInternationalcollaboration
MajorproductsAppliedandinterdisciplinary researchPolicyofDRRforcentralandlocalgovernmentInformationintegrationEmergencyoperation(notsearchandrescue)IdentificationofurgentneedsandlongtermdemandsIntegrationofpotentialriskmaps
Partnersandkeystakeholders
PublicsectorCentralgovernment
MinistriesandagenciesLocalGovernment
MunicipalitiesandtownshipsPrivatesector
Universities,researchinstitutes NGOs,NPOs Communities
Internationaloutreach IRDR,ICoE Taipei ADRC,NIED,DPRI(JP) PDC(US) ADPC(TH) NDMI(KR) APECEPWG
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Tosolvefurtherrisk akeystepisusingdata(BigorOpen)
Usetobigoropendata Dataarchives Cloudsystem Dataformat Exchangeprotocols Officialsitesorsocial
media
Inclusivestakeholders Governments Researchinstitutes NGOs,NPOs Media,socialmedia Citizens
Informationintelligence DataOrganizing DataAnalyzing Datawarehousing DataPresenting Extract,Transformand
Load
Basictypeofdatasets Physicalvulnerabilities Socialvulnerabilities Historicalevents Numericalmodels Observations
Keyissuesofusingbigdataandopendata
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In order to apply Big data and Open data for betteremergency preparedness, the major challenges toovercome
1. Volume: overwhelming amount of data sets, howto identify relationship for integration
2. Velocity: during urgent moments, pop-upsituations and information could hamper decisionmaking
3. Varity: different and diverse data sets arerequired to delivered information or maps byrequest
4. Verification: duplications or rumors fromdifference sources need rules and synergy tofocus real issues
Sceince and technology
Understandableknowledge
Peoplesmindset
Takeactions
Transformation
Interpretation
Perception
Themajorchallengesofusingdata
Furthercomprehensivecollaborationonbusinessresiliencethroughregionalsynergyandcrosscuttingknowledge
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Businessresilience
EmergencyResponseTravelFacilitation
GlobalSupplyChainResilience
ApplicationofOpendataandBigdatato
Emergency Preparedness
CriticalInfrastructureSecurityandResilience
EPWG, PPSTI
EPWG, SCCP, BMG TPTWGSMEWG
CTWG
BuildingInclusiveEconomies,BuildingaBetterWorld BuildingSustainable andResilientCommunities
2015APECTheme
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Conclusions:RolesofS&Ttoreduceloss Fromsciencetodecisionmaking
ScientificPrediction Scientific
Prediction Rea-time
MonitoringRea-time
MonitoringIn-time
OperationIn-time
OperationKey elements to
succeed
Provideforecastingbasedonscientificmodels
Toolforpredisasterdeployment
Referencefordecisionsupport
Limitedbytechnologydevelopment
Provideupdateddatabasedongauges
Toolforpinpointingblindareasbyforecast
Referenceforrevisingdecisionsupport
Limitedbynumber,location,transmission
Providereactionbasedonwelldefinedplan
Toolforsavingmoretimebeforeitstoolate
Referenceforallocatingemergencysupport
Limitedbydeterminationofallleveadministrators
I
Anintegrationof
Naturalscience Socialscience Engineering ICT,Socialmedia Emergencymanagement Multiplekeystakeholders Publicprivatepartnership .
Thanks