Asia-Pacific Disaster Resilience Network for Coherence of the Sendai Framework and SDGs

Transcription

1 Asia-Pacific Disaster Resilience Network for Coherence of the Sendai Framework and SDGs

2 REGIONAL COOPERATION ENABLES ACCESS TO TRANSFORMATIVE TOOLS AND APPROACHES

3 Poverty widespread in Ganges- Brahmaputra-Meghna River-basin Overview of Multidimensional poverty in South Asia Quantifying the number of people in severe poverty (>50% intensity) i.e. neglected and left-behind Poverty centered around GBM basin

4 Use of technology and innovations enhances lead time flood forecasting 100 Sectoral damage reduction from lead time flood forecast Lead time 24 hrs Lead time 48hrs Lead time Up to 7 days 20 0 Household items Livestock Agriculture Fisheries The higher the lead-time, protect the poor from disaster losses

5 Regional cooperation for building institutional capacity Guwahati 3 key challenges of increasing lead time of flood forecasting - Limited access to real-time data(flow, discharge) across the river-basin - Weak capacity to utilize advances in weather/flood forecasting modeling - Absence of inter-governmental platform of operational hydrologist, meteorologists and DRR community.

6 Feasibility Study of Regional Flood Forecasting..Using ensemble weather forecasts, and satellite altimetry (water elevation at selected points) Improved data gaps between meteorological and hydrological services Used NASA/CNES Jason-2 (Ku-band altimetry, 10-day resolution) and ISRO/CNES SARAL (Ka-Band altimetry 35- day resolution) World Bank supported study carried out by NCAR, ECMWF/RIMES, respective River-basin authorities Implementation stage Area of Ganges Basin - 984,076 sq.km India- 80%; Nepal -15% China- 4%; Bangladesh 1% of Basin

7 Model solutions to the stream flow forecasting problem in GBM basin In Bangladesh: Lead time flood forecasting (probabilistic) Up to 10 days days with deterministic forecast approach (ensembles plus satellites products) Source: World Bank and RIMES 2015

8 Technological Innovations in Flood Forecasting and Early Warning *Source: ESCAP (2016) Disasters in Asia and the Pacific: 2015 Year in Review

9 Technological Innovations in Flood Forecasting and Early Warning Focus on innovations in flood forecasting Longer lead time forecast strengthens household response with tangible benefits to the vulnerable and poor. Recent advances in weather forecasting, modeling systems and space applications enables longer lead times (up to 5-8 days).

10 REGIONAL COOPERATION SCALES UP AND MULTIPLIES THE BENEFITS

11 Strengthened Regional Cooperation IOTWS The Indian Ocean Tsunami Warning and Mitigation System 24 Members RIMES Regional Integrated Multi- Hazard Early Warning System for Africa and Asia 13 Member States 19 Collaborating Countries ESCAP Multi-Donor Trust Fund for Tsunami, Disaster and Climate Preparedness in Indian Ocean and Southeast Asian Countries. PTC/TC Panel on Tropical Cyclones/ Typhoon Committee PTC 8 Members TC 14 Members ESCAP Multi-donor Trust Fund National Governments - South East Asia - South Asia - Pacific (PNG, Fiji, Samoa) Partners $15 million Preparedness Center, - UN Agencies - Asian Disaster - NGOs

12 Regional cooperation with multi-hazard approach is key to managing high impact, low frequency disasters India: National System RIMES Indonesia: National System Indian Ocean Tsunami Warning System Australia: National System Courtesy of USAID

13 Gap lies in impact based forecasting Category 3 Category 2 Impact Scenarios Hazard + Vulnerability /Exposure+ Impacts Access to risk Data Hazard + Vulnerability /Exposure <10% 40-50% Category 1 Early Warning Category Access to hazard info Baseline data From: - Governments, - UNESCO-IOC (Tsunami) - 24 Countries - ESCAP/WMO TC/PTC-23 Countries - RESAP/Drought Mechanisms Data for Early Warning 80-90% % of Countries

14 Regional Platform for Multi-hazard Early Warning System Asia-Pacific Disaster Resilience Network (APDRN) International Network for Multi- Hazard Early Warning Systems Pillar 1 - Regional Platform of Multihazard Early Warning System Hazard clusters Financing Mechanisms Extreme Weather Events Tropical cyclones/typhoons in partnership with WMO.. ESCAP s Extra Budgetary Cooperation Trust Funds and Regular Budget Contributions Geophysic al disasters Slow-onset disasters Tsunamis and earthquakes, UNESCO/IOC.. El Nino, Droughts, Sand and Dust Storms, RIMES, WMO, UNCCD, UNEP Disaster information management Asian and the Pacific Centre for the Development of Disaster Information Management

15 ESCAP Resolution 73/9 May 2017 Disaster risk reduction and resilience as a priority area. Opportunities for regional cooperation exist for disasters with transboundary origins/impacts APDR 2017 findings show action is urgent on: Early warning systems Knowledge & data sharing Regional capacity building

16 ESCAP Resolution 73/7 Synchronizing Sendai Framework with related SDGs through UN Regional Coordination Mechanism Target A B C D E F G Number of deaths, missing persons and persons affected by disaster per 100,000 people Direct disaster economic loss in relation to global domestic product (GDP) Direct disaster economic loss in relation to global GDP, including disaster damage to critical infrastructure and disruption of basic services Number of countries with national and local disasters risk reduction strategies Proportion of local governments that adopt and implement local disaster risk reduction strategies in line with the Sendai Framework for Disaster Risk Reduction Goal/Target Goal 1 Target 1.5 Goal 11 Target 11.5 Goal 11 Target 11.b Goal 13 Target 13.1

17 ESCAP s Analytical Knowledge Products Mainstreaming disaster risk reduction in 2030 Agenda for Sustainable Development

18 ESCAP Resolution 73/7 Synchronizing Sendai Framework with related SDGs through UN Regional Coordination Mechanism The Sendai Framework.. substantially increase the availability of and access to multi-hazard early warning systems and disaster risk information and assessments to people by 2030 as one of its 7 targets. ESCAP resolution 73/7.. to support and facilitate multi-hazard early warning systems, impact-based forecasting and disaster risk assessment to strengthen regional cooperation mechanisms. The task now is to translate these calls into action.

19 Asia-Pacific Disaster Resilience Network Regional road map for implementing the 2030 agenda for sustainable development in Asia and the Pacific Regional Platform for Multi-hazard Early Warning System Regional Space Applications for DRR Regional Hub of Knowledge and Innovation Risk assessment tools and techniques Climate risk information, scenarios and outlooks Financing for DRR Analytical reports Asia-Pacific Disaster Report Impact outlooks Policy briefs Regional cooperation and capacity development activities

20 Thank you!