Presentation on theme: "“Tsunami preparedness, lessons learned from recent events” David Hisdal Vice President Asia Pacific & Australia 18 October, 2011 10 th Annual Asian Geospatial."— Presentation transcript:
“Tsunami preparedness, lessons learned from recent events” David Hisdal Vice President Asia Pacific & Australia 18 October, th Annual Asian Geospatial Forum Jakarta, Indonesia
2 Pacific Ring of Fire – Risk Zone Earthquakes, Volcanic Eruptions and Tsunami’s are a permanent and pervasive part of life in SE Asia Many small events have happened over the decades but seldom have we seen the frequency and magnitude of recent years events. We must use the memory of recent events and use this momentum and political will to create meaningful changes to how we prepare
3 Major Earthquakes 8+ 9
4 Japan Tsunami – lessons learned On December 26 th, 2004 a major tsunami hit south western Sumatra spreading waves and damage across the Indian Ocean. Over 250,000 people died. Many in locations far from the epicenter that had many hoursof warning of potential disaster. On March 11, 2011 a tsunami of similar size and magnitude took place of the south coast of Japan. While this event produced even larger waves, it resulted is a loss of life of less than 25,000 people. Of significant note between the 2 event was the level of preparedness globally. Much of the reduction in loss of life can directly be attributed to preparedness.
5 December 26 th 2004 Andaman Sumatra Magnitude 9.3 Triggered a Massive Tsunami (20+ M) Experts fear a second major rupture is possible north of the last event. This could push a massive wall of water down the Straight of Malacca.
Base Land Elevations: Need high quality elevation model that shows sufficient surface detail Wave Propagation: need coastal onshore and offshore data as near shore information is critical to wave propgation -Tsunami inundation extent -Tsunami Damage Safety Areas and high risk areas Shelter locations: Need to be accessible within warning criteria Tsunami Modeling
14 Country Level Tsunami Simulation Country level simulation required : 1. sea-bottom topography (Seabed DSM) ETOPO2 (2 minute mesh) 2. coastal elevation data 3. Tsunami modeling system Step 1: Input the data sets to cover a large area including hypocenter. Step 2: Using a Country level Fault model Step 3: Tsunami simulation is created and compared with historical Tsunami data. The model is then customized based on local conditions to improve accuracy.
15 City Level Tsunami Simulation City level Tsunami Simulation – Precise modeling at a large scale. A Sea-bottom at 12.5 M mesh size A DSM of the coastal area in 5m mesh size is used to generate this model. The speed and heights of tsunami depend on bottom depth and topography to depth of 100 metersHigh definition bottom mesh is needed for accurate wave action simulation. 10 Kilometer sections of coastline are used for this analysis. A model and animation is created.
16 3D Seabat Imagery
17 Tsunami Simulation Tsunami wave simulation near coast of Kobi Japan
18 Analysis using NEXTMap data produces better results along the channel… …and more accurately estimates the extent of the flooding along the coast NED 10m NEXTMap 5m Coastal risk assessment
20 Lessons Learned Tsunami ‘s are devastating and unpredictable, however, significant loss of life can be prevented with careful planning and through construction of evacuation routes, shelter areas and early warning! Sometimes the warning will be the earthquake, however, in cases where the even occurred offshore a warning system is essential. Local residents in areas that can/will be affected in an event need to rehearse action to be taken Governments need to invest in creation of models, construction of a plan and in the maintenance and implementation at a local level. Preparedness saves lives.
21 Seamless terrain data over large geographic regions selected by the Australia Indonesia Centre for Disaster Reduction as the ideal terrain model for coastal tsunami modeling Digital terrain models (DTM) and digital surface models (DSM) High Resolution Radar images (ORI) Hydro-enforced – ideal for water related modeling
Reflective-surface Digital Surface Model
Bare-earth Digital Terrain Model
24 Jakarta tsunami simulation 5 M wave Ambiental_Jakarta_MapAsia_Movie_1.1.wmv For more information on applications please contact Thank You