IP1.2 & Predic-on Core: SoG Risk Indicators and Impact Scenarios

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IP1.2 & Predic-on Core: SoG Risk Indicators and Impact Scenarios By: Stephanie E. Chang School of Community & Regional Planning, Univ. of Bri-sh Columbia

Project and Personnel FOCUS Socio- economic dimensions of risk to coastal communi-es deriving from marine hazards AIM To develop tools to help link MEOPAR hazards informa-on to impacts on coastal communi-es OUTCOME Risk/vulnerability indicator tools, pilot- tested in SoG EFFORTS 1. (with City of Vancouver) development of robust, modeled scenarios of coastal flooding impacts 2. development of suite of socio- economic risk indicators for SoG, with mapping/analysis PERSONNEL Jackie Yip (PhD), Shona van Zijll de Jong (PDF), Rebecca Chaster (MAP), Ashley Lowcock (MScP), Christopher Carter (MAP)

End user engagement Main effort Outcomes Milestones and Accomplishments (2. Indicators Effort) To Date Upcoming Year Workshop 1 Workshop 2 Literature reviews GIS data collec-on Vision & approach Vision & approach Oil spill paper* Unpublished lit. reviews Resource catalog SoG pilot Framework paper Applica-on paper SoG demo *Chang, SE et al. 2014. Consequences of Oil Spills: A Framework for Scenario Planning, Ecology and Society 19(2): 26.

Vulnerability Indicators Santos et al. (2013) V: oil spills Cutter et al. (2003) Q: Which places are most vulnerable?

Approach: 250+ variables from literature 42 independent variables 11 factors 1 Social Vuln. Index (SoVI) Important to refine for: - Coastal community factors - Coastal hazards - Physical geography - Resource links (fisheries) - Transport access - Coastal infrastructure - Change over -me - Planning, emerg. mgmt., Example variables: Percent of pop. over 65 years Percent females Percent African American Per capita income Percent of housing units that are mobile homes No. physicians per 100,000 pop. General local government debt to revenue ra-o Cuier et al. (2003) in Social Science Quarterly

Vision: MEOPAR Sea-Link D Platform Which places are similarly vulnerable? Indicators data Type A Type B Type C Networks (resources, ideas) Transferable lessons Which places are most at risk? What s at risk? Coastal communities Which communi-es face similar problems to my community? Have tested relevant solu-ons? MEOPAR observation & prediction systems How have communi-es similar to mine been affected by coastal hazards/disasters?

Valdez, AK 1964 earthquake & tsunami www.usc.edu/dept/tsunamis/ alaska/1964/ Powell River, BC Example Clague and Bobrowski (2010) in Geoscience Canada

Similarly Vulnerable? Powell River, BC Coastal hazard - tsunami - tsunami History and loca-on - Strait of Georgia - tradi-onal territory of Coast Salish F.N. Demographics - pop. 18,000 - pop. 4,000 Transporta-on Economy - marine - small airport - pulp and paper mill - forestry - fishing (commercial & recrea-onal) - tourism Valdez, AK - Prince William Sound - tradi-onal territory of Eyak Na-ve Americans - marine - small airport - land (to Anchorage) - oil (Trans- AK Pipeline) - fishing (commercial & recrea-onal) - tourism

Vision: MEOPAR Sea- Link D Plarorm S AIM: Create an interac-ve plarorm that can iden-fy communi-es that share similar vulnerability characteris-cs to support sharing of lessons learnt, resources, mi-ga-on capacity S HOW: Use simple similarity measures (e.g. cosine similarity) to measure similarity between two communi-es profiles of vulnerability indicators Comparing similarity of two vectors (A and B) of vulnerability indicators Community A: Community B: similarity = cos(θ) = A B A B = n n i=1 A i B i (A i ) 2 (B i ) 2 i=1 n i=1 Econ Social Eco Built

Vision: MEOPAR Sea- Link D Plarorm 1. Profile comparison of user s community to muliple communiies Community Econ Social Eco Built Overall 3. Community profile Ladysmith Victoria 0.5 0.1 0.7 0.2 0.81 Sidney 0.4 0.2 0.6 0.4 0.77 Ladysmith 0.8 0.1 0.1 0.2 0.50 Sechelt 0.1 0.1 0.8 0.2 0.41 Gibsons 0.1 0.2 0.3 0.6 0.20 2. Comparing economic vulnerability similarity Sim score A: B: Econ Social Eco Built Econ Social Eco Built PopulaIon: 7921 Density: 660.6/km^2 ElevaIon: 40m Key vulnerability: Economy; ecology Hazards: Flooding; oil spills AdaptaIon/miIgaIon aciviies: Economic Small business support plan [link] Health Ecology Infrastructure Contact:

Single Variable Example Quality of Flood Bylaws, by Municipality Social, Health, Safety: Emergency Preparedness (data source: Stevens and Hanschka, 2014)

Single Variable Example Healthcare Facili-es within 1m of Sea Level 26~50% Saanich Delta West Vancouver 51~75% Vancouver 76~100% Victoria Richmond Greater Vanc. A Sidney Esquimault Comox Mt. Waddington A

Single Variable Example Transport Connec-vity (road, marine)

What Success Will Look Like in 2017 1. Sea- Link D plarorm live, hosted at MEOPAR (?) func-onal for Strait of Georgia and Halifax Harbor cases full range of indicators; similarity indices links to disaster cases linked to MEOPAR observing/predic-on systems (?) 2. Plarorm being used by communi-es ideally, communi-es sharing their info 3. Coastal flooding method and Vancouver scenarios; used linked to MEOPAR observing/predic-on systems 4. Students graduated, 2 PhD disserta-ons 5. Papers published

Questions? www.meopar.ca 902-494- 4384 Stephanie E. Chang stephanie.chang@ubc.ca