Changing Risks of and Responses to Extreme Events in Cities ARC3 Case Studies Maputo, Mozambique New York City Santiago, Chile Cynthia Rosenzweig Wim Debucquoy CSDS team in alphabetical order: Somayya Ali Ibrahim, Ioana Blaj, Patrick Driscoll,, Martin Lehman, David Major, Jovana Milic, Stephen Solecki & William Solecki Assessment Report on Climate Change and Cities Goddard Institute for Space Studies New York, NY 1 Cities are at the forefront of extreme events and climate change responses across the globe Hurricane Katrina August, 2005 New Orleans Hurricane Sandy October, 2012 New York NASA, October 29, 2012 Cities have experience in responding to climate-related disasters: – Cities experience the power of climate disruption due to high population density and extensive infrastructure – This experience has taught city leaders that disasters are the product of interactions between natural processes and human interactions and that preparedness is important – Many city leaders understand that climate change may increase these risks Box 3.5, ARC3, 2011 The Urban Climate Change Research Network UCCRN UCCRN Mission: Enable cities to fulfill their climate leadership potential in disaster risk reduction and climate change mitigation and adaptation • A consortium of ~550 scholars and practitioners from over 100 developed and developing cities around the world • First UCCRN Assessment Report on Climate Change and Cities (ARC3) published in 2011, a four-year effort by 100 authors from 50+ cities • Second UCCRN Assessment Report on Climate Change and Cities (ARC3-2) scheduled to be published by end of 2015 at COP21 in Paris www.uccrn.org 3 ARC3 Case Study Docking Station • Online, searchable, open-source database with peer-curated case studies as well as published versions in report • Authored by researchers, institutional program personnel (e.g., UN-HABITAT), NGO experts (e.g., WWF) • Designed to be useful for both research and practice, so that city response pathways can be tracked over time • Use of common data collection protocol and systematic peer-curated to achieve higher level of scientific rigor • Goals are to enable scientifically valid cross-case comparisons, disseminate information, and inspire local climate action Share lessons learned Note: Case Study Docking Station is still in development and not yet operational ARC3 Case Studies As of May 5, 2015, 93 ARC3-2 case studies Sample ARC3 Case Study • Data Protocol, including sources • 100-word abstract • Full case study text (700-1000 words) Search Criteria and Classification (1) Keywords • Climate hazard Flood Heat wave Drought Heavy downpour etc. • Type of adaptation/mitigation Policy Infrastructure Ecosystem-based Community-based etc. • Topic According to ARC3-2 chapters (e.g., Coastal Zones; Urban Health; Water Resources; Governance) Search Criteria and Classification (2) Classification • City size (UN-Habitat) Less than 100,000 Small: 100,000- 500,000 Intermediate: 500,000 – 1 million Big: 1-5 million Large: 5-10 million Mega: >10 million • Income per capita (World Bank) Low income: $1,035 or less Lower middle income: $1,036 to $4,085 Upper middle income: $4,086 to $12,615 High income: $12,616 or more • HDI index (UNDP) Low < 0.550 Medium 0.550–0.699 High 0.700–0.799 Very high > 0.800 • Climate zones Köppen-Gieger classification Keyword Search Search keyword “flooding” Dakar, Senegal Helsinki, Finland Napoli, Italy Case Study Details From this page, full Case Study can be downloaded Comparing City Responses (1) ARC3 Case Study Docking Station • Characterizes differences in goals, approaches, processes, and responses • Enables inferences to be drawn across case studies and New York City Vivien Gornitz, Radley Horton, David C. Major, Dan Bader, and Cynthia Rosenzweig Dhaka Anika Nasra Haque and Stelios Grafakos Comparing City Responses (2) New York City Dhaka Area of municipality (km²) 1,214 km2 139 km2 Area of metropolitan region (km²) 360 km2 Population (city) 17,405 km2 8,405,837 (2014 NYC Dept. City Planning) Population (metropolitan area) 19.9 million (U.S. Census, est. 2013) 14,171,567 (BBS, 2011) Density (city) ( /km²) 10,414/km2 50 144 /km2 Density (metropolitan area) ( /km²) 1,143/km2 39 365 /km2 Latitude and Longitude 40 42 N, 74 00 W 23°42' and 23°54' N and 90°20' and 90°28' E Climate zone (Köppen-Gieger Climate Zones) Hot summer continental climate (Dfa) Tropical climate (Aw) Topography (description) Low to moderate relief. Highest elevation: 130 m; 0 m at shoreline. GDP nation (Purchasing power parity) $ 16 768 100 million (World Bank, 2013) Flat with slight undulations. Elevation ranges varies from 0.5m to 12m, with 70% of the total area within 0.5-5m (Halcrow, 2006). $ 150 billion (World Bank, 2014) Gross National Income (GNI) per capita $ 53 470 (high income) (World Bank, 2013) $ 1010 (low income) (World Bank, 2013) Human Development Index (national) 0,914 (Very High) (UNDP, 2014) 0.558 (Medium) (UNDP, 2012) Adaptation Strategies Flood walls, development of climate resiliency indicators, retrofits to transportation infrastructure based upon flood projections, Greenstreet vegeation to absorb excess stormwater Mitigation Strategies Benchmarking energy performance in buildings, raising standards for buidling and energy codes, flood resilience and energy performance retrofits, Cool Roofs Management of urban waste, ongoing Clean Development Mechanism (CDM) projects on solar energy and waste management, improvement of energy consumption pattern in transport sector etc. Strategies adapted by the public sector: Flood walls, embankment, pumping station, regulators/sluices, canal improvement, elevating road etc. 6,970,105 (BBS, 2011) Comparing City Responses (2) New York City Dhaka Area of municipality (km²) 1,214 km2 139 km2 Area of metropolitan region (km²) 360 km2 Population (city) 17,405 km2 8,405,837 (2014 NYC Dept. City Planning) Population (metropolitan area) 19.9 million (U.S. Census, est. 2013) 14,171,567 (BBS, 2011) Density (city) ( /km²) 10,414/km2 50 144 /km2 Density (metropolitan area) ( /km²) 1,143/km2 39 365 /km2 Latitude and Longitude 40 42 N, 74 00 W 23°42' and 23°54' N and 90°20' and 90°28' E Climate zone (Köppen-Gieger Climate Zones) Hot summer continental climate (Dfa) Tropical climate (Aw) Topography (description) Low to moderate relief. Highest elevation: 130 m; 0 m at shoreline. GDP nation (Purchasing power parity) $ 16 768 100 million (World Bank, 2013) Flat with slight undulations. Elevation ranges varies from 0.5m to 12m, with 70% of the total area within 0.5-5m (Halcrow, 2006). $ 150 billion (World Bank, 2014) Gross National Income (GNI) per capita $ 53 470 (high income) (World Bank, 2013) $ 1010 (low income) (World Bank, 2013) Human Development Index (national) 0,914 (Very High) (UNDP, 2014) 0.558 (Medium) (UNDP, 2012) Adaptation Strategies Flood walls, development of climate resiliency indicators, retrofits to transportation infrastructure based upon flood projections, Greenstreet vegeation to absorb excess stormwater Mitigation Strategies Benchmarking energy performance in buildings, raising standards for buidling and energy codes, flood resilience and energy performance retrofits, Cool Roofs Management of urban waste, ongoing Clean Development Mechanism (CDM) projects on solar energy and waste management, improvement of energy consumption pattern in transport sector etc. Strategies adapted by the public sector: Flood walls, embankment, pumping station, regulators/sluices, canal improvement, elevating road etc. 6,970,105 (BBS, 2011) Projections and Responses to Climate Change in NYC • Bloomberg administration primary focus on infrastructure (SIRR); De Blasio administration focus on equity (OneNYC) • Sea level is expected to rise (NPCC, 2015) • • • • 11 to 21 inches* by the 2050s 18 to 39 inches* by the 2080s Up to 6 feet** by 2100 Ongoing and proposed initiatives call for: • Improved coastal flood mapping • Continuation of collaboration with NPCC to update and refine local climate projections • Strengthened coastal defenses using a portfolio of approaches tailored to specific neighborhood needs * Middle range (25th to 75th percentile) of model-based projections. ** High end (90th percentile) of model-based projections. Source: NPCC, 2015 New York City Co-generated Climate Science • The New York City Panel on Climate Change (NPCC) was created by Mayor Bloomberg in 2008. • Local Law 42 established the NPCC as ongoing body • The NPCC co-generates climate risk information with stakeholders and City planners to develop relevant data that best informs policy. Latest report, NPCC 2015, was released in February of this year Dhaka Participatory Approach • Performed multi-criteria analysis (MCA) on options with a focus on a participatory process • Criteria and weights selected by key stakeholders; experts provided input • Government is planning several adaptive measures (e.g., flood protection) Flooding in secondary road (left) and main arterial road (right) Source Images: Haque, A. & Grafakos, S., 2015 Flood map of Dhaka city during 1998 flood showing inundated study area Dhaka Adaptation Assessment • Ranking of different adaptation measures by Multi-Criteria Analysis (MCA) Measures Protection of water-retention areas* Enhancing early warning systems Canal improvements Embankments Construction and upgrading of storm sewer/drainage systems** Raised roads Enhancing emergency response mechanisms Flood walls Score 0.74 0.72 0.69 0.56 0.52 Rank 1 2 3 4 5 0.47 0.44 6 7 0.40 8 Final ranking and scoring results of adaptation measures (Source: Haque, A. & Grafakos, S., 2015) *Reducing vulnerability to flooding, while also meeting cost, ecology, and employment generation criteria **Main flood management measure discussed by government, but proved far less prioritized • Adaptation assessment provides support for policy design and decision-making • MCA process contributes to knowledge-generation and sharing due to expert and stakeholder interactions Conclusions The ARC3 Case Study Docking Station • Is a first step in characterizing the rich diversity in cities´ responses to increasing risks of extreme events due to climate change • Provides lessons learned in order to share solutions and inspire climate action in other cities; New York and Dhaka have a lot to learn from each other • Allows for initial cross-case comparison and analysis, enabling new possibilities for research • Will be an ongoing effort, enabling city stakeholders and researchers from around the world to share their experience and expertise as response pathways develop over time Note: Case Study Docking Station is still in development and not yet operational For more information, please visit: Urban Climate Change Research Network (UCCRN) www.uccrn.org New York City Panel on Climate Change (NPCC) http://onlinelibrary.wiley.com/doi/10.1111/nyas.2015.1336.issue-1/issuetoc Columbia University Center for Climate Systems Research (CCSR) http://ccsr.columbia.edu/ Goddard Institute for Space Studies New York, NY 19
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