Asia-Pacific Meeting on Disability-inclusive Disaster Risk Reduction: Changing Mindsets through Knowledge April 2014 Sendai, Japan

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Transcription:

Asia-Pacific Disaster Trends: Facts and Risk Drivers Asia-Pacific Meeting on Disability-inclusive Disaster Risk Reduction: Changing Mindsets through Knowledge 22-23 April 2014 Sendai, Japan 1

Most deaths due to disasters are in the Asia-Pacific region South and South West Asia -highest mortality 75% of global disaster deaths (1970-2011) from Asia Pacific Source: Asia Pacific Disaster Report 2012 Economic losses due to disasters increasing Economic losses in 2011, 80% of total losses for 2000 to 2009 Source: Asia Pacific Disaster Report 2012 2

Who pays for disaster losses? Often in developing countries the poorest pay the most when disasters strike. Progress towards achieving the MDGs is undermined Primary school enrolment dropped after disasters in Pakistan 3

Vulnerability(%) 1. Addressing vulnerability holds the key 2. Building institutional capacity for risk governance assumes priority Af ghanistan Timor -Leste PNG Solomo n Pakistan Bangladesh Cambo dia Nepal India Lao PDR Myanmar Indo nesia Kiribati Vanuatu Bh ut an Tajikistan Uzbekistan Ph ilippines Samoa Fiji Sri Lanka Tonga Viet Nam Turkmenist an Kyrgyzstan Ch ina Mongolia Iran Azerbaijan Armenia Thailand Geor gia Turkey Malaysia Kazakhst an Ru ssia Brun ei Daru ssalam Ko rea (r epublic) Singapo re Austr alia Japan New Zealand Vulnerability is common to disasters risk and MDGs Vulnerability is common to disasters and conflicts and also MDGs 0.0 0% 10.00 % 20.00 % 30.00 % 40.00 % 50.00 % 60.00 % 70.00 % 80.00 % 4

Cyclone Nargis, Myanmar 2008 Effects on the People Death Toll: More than 84,000 Affected population: 2.4 million D amage and losses of : US$ 2,806 million to productive sector hit hardest to MDG 1 poverty & hunger ; US$ 968 million to social sector to MDGs 2,4 and 6; US$ 190 million to infrastructure sector to MDG 1 and 7 Effects on Economy: $ 4,021.6 million Effects on GDP 21% Cross-sectoral 1.4% LDC graduation process for Myanmar prolonged further due to Nargis 9 Disasters led to Poverty Incidents New Poor Myanmar (2008-2010) Before and after Cyclone Nargis 2008 5

Many urban risk hot spots..+ climate change Of the 305 urban agglomerations, 119 are situated along coastlines, large number of cities with high seismic risk 6

1. Investing in DRR reduces vulnerability, US$ 4.3 Billion in losses US$ 2.4 Billion in losses US$ 0.27 Billion in losses 1998 Cy clone 2007 Cy clone 2009 Cy clone Investments to raise agricultural productivity in low lying areas, flood protection & drainage in urban areas, irrigation schemes to enable dry season crop, coastal greenbelt projects. Bangladesh s DRR investments over 35 years 2 also, setting targets helps design DRR investments 2.38% of GDP/year due to disaster losses Reduce to 1.5% of GDP/year in losses Past 20 years By 2015 Investments in early warning, risk assessment, ICT for DRR, CBDRM, education and awareness Putting in place tangible goals may stimulate.. 7

3. and social vulnerabilities can be reduced by investing in social protection Building social resilience by safety nets that are sustained, long term, complementary with climate change measures, with flexible financing and elements of contingent targeting so that they can be scaled up for episodic shocks 4..And Early Warning System proves game changer: Regional cooperation works 1. Response to Cyclone Nargis (2008) and Giri (2010) 2. Afghanistan Drought 2008 3. Improved lead time flood forecasts in Pakistan, Bangladesh.. 4. Innovative use of space, ICT and Social Media.. 8

New Opportunity: Post-disaster database/statistics with DiDRR embedded uniform standard, format.. Direct economic losses as estimated from national and global los s database, 1981-2011 Mexico Indonesia Vietnam Iran Nepal Sri Lanka Recorded in EMDAT Additional losses from National Datasets Mozambique 9

Early Warning, Satellite Navigation, Emergency Communication and Satellite imagery products.. Opportunity for DiDRR 10

Neo-Geography and beyond! Ref: Joseph Berry Big Data and Liquid Data and Data Mining and GIS as a Service on the Cloud hold promise for Disability-included DRR (DiDRR) 11

Thank you Sanjay K Sr ivastava, Regional Advisor, Disaster Risk Reduction United Nations Economic and Social Commission for Asia and the Pacific Bangkok sr ivastavas@un.or g 12