HR: 1340h
AN: PA23A-1447    [Abstracts]
TI: Using Climate Information for Disaster Risk Identification in Sri Lanka
AU: * Zubair, L
EM: lareef@iri.columbia.edu
AF: International Research Institute for Climate Prediction, The Earth Institute at Columbia University, PO BOX 1000, Palisades, NY 10964 United States
AB: We have engaged in a concerted attempt to undertake research and apply earth science information for development in Sri Lanka, with a focus on climate sciences. Here, we provide details of an ongoing attempt to harness science for disaster identification as a prelude to informed disaster management. Natural disasters not only result in death and destruction but also undermine decades of development gains as highlighted by recent examples from Sri Lanka. First, in May 2003, flooding and landslides in the South-West led to 260 deaths, damage to 120,000 homes and destruction of schools, infrastructure and agricultural land. Second, on December 26, 2000, a cyclone in the North-Central region left 8 dead, 55,000 displaced, with severe damage to fishing, agriculture, infrastructure and cultural sites. Third, an extended island-wide drought in 2001 and 2002 resulted in a 2% drop in GDP. In the aftermath of these disasters, improved disaster management has been deemed to be urgent by the Government of Sri Lanka. In the past the primary policy response to disasters was to provide emergency relief. It is increasingly recognized that appropriate disaster risk management, including risk assessment, preventive measures to reduce losses and improved preparedness, can help reduce death, destruction and socio-economic disruption. The overwhelming majority of hazards in Sri Lanka - droughts, floods, cyclones and landslides -have hydro-meteorological antecedents. Little systematic advantage has, however, been taken of hydro-meteorological information and advances in climate prediction for disaster management. Disaster risks are created by the interaction between hazard events and vulnerabilities of communities, infrastructure and economically important activities. A comprehensive disaster risk management system encompasses risk identification, risk reduction and risk transfer. We undertook an identification of risks for Sri Lanka at fine scale with the support of the Global Disaster Hotspots project of the Earth Institute at Columbia University. We developed tools that translate meteorological, environmental and socio-economic exposure and vulnerability information into assessments of relevant hazard related disaster risk at appropriate spatial and temporal scales. We also developed high-resolution predictive capabilities for assessing seasonal hazard event. We found that useful hazard risk and vulnerability analysis can be carried out with the type of data that is available in Sri Lanka with sufficiently fine scale as to be useful for national level planning and action. Also, hydro-meteorological information was essential to estimate hazard risks. This analysis brought out a distinct seasonality to drought, floods, landslides and cyclone hazards in Sri Lanka. This work provides a foundation for systematic disaster management that shall manage risks through measures such as hazard warnings, scenario-based relief identification and planning, strategic river basin management, risk mapping and land use zoning, standards for construction and infrastructure. The fostering of research and application capacity in the vulnerable community leads to the appropriate and sustainable use of earth science information. This work contributes to the mitigation of risk of vulnerable communities and provides an example of the harnessing of geosciences for poverty alleviation and improvement of human well-being. Note: The contributions of Vidhura Ralapanawe, Upamala Tennakoon, Ruvini Perera, Maxx Dilley, Bob Chen and the Hotspots team are gratefully acknowledged.
UR: http://iri.columbia.edu/~mahaweli/
DE: 9320 Asia
DE: 6339 System design
DE: 6399 General or miscellaneous
DE: 6699 General or miscellaneous
DE: 1833 Hydroclimatology
SC: Public Affairs [PA]
MN: 2004 AGU Fall Meeting