Development of Centralized Spatial Database Server for Indian Tsunami Early Warning System

Sampath Kumar Kathroju

Abstract


India is one of the most vulnerable developing countries to suffer very often from various natural disasters, namely drought, flood, cyclone, earthquake, landslide, forest fire etc. Which strike causing a devastating impact on human life, economy and environment, Though it is almost impossible to fully recoup the damage caused by the disasters, it is possible to minimize the potential risks by developing early warning strategies. The recent advancements in space technology and satellite remote sensing playing a crucial role in efficient mitigation of disasters. There is a desperate need of establishing early warning systems in order to raise alerts for taking preventive measures before a natural hazard occurs. One of the dangerous natural hazards for a country like India having a long coastal line is tsunami. On 26th December 2004, the Indian coastline experienced the most devastating tsunami in recorded history and Tsunami inundation in coastal zones caused damage to buildings, infrastructures, as well as properties and poses the threat to lives.

The ITEWS comprises a real-time network of seismic stations, Bottom Pressure Recorders (BPR), tide gauges and 24 X 7 operational tsunami warning centre to detect tsunamigenic earthquakes, to monitor tsunamis and to provide timely advisories to vulnerable community by means of latest communication methods with back-end support of a pre-run scenario database and Decision Support System (DSS).The National Tsunami Early Warning Centre at INCOIS is operational since October 2007. The Indian National Tsunami Early Warning Centre started exchanging service level-I earthquake information basically qualitative tsunami advisory about tsunamigenic potential. India is now geared up to provide service level-II bulletins for the Indian Ocean region (based as tsunami numerical modeling and with use of open ocean propagation tsunami scenario data base.) service level-III in this level inundation vulnerability mapping for identified vulnerable regions.

Service level-I was operated in 2007.Service level-II was operated in 2011.Service level-III is initiating now. Here we are using sources for this one is spatial data sets of open ocean propagation tsunami scenario data base. Spatial data sets of coastal inundation modeling inputs: i) identification of high vulnerable coastal regions from MHVM (Multi-Hazard Vulnerability Map), ii) high resolution coastal topography, iii) bathymetry data, iv) observation networks.) Spatial layers of inundation model and respective grids. Centralized spatial data base server. Data reception, data processing, tsunami vulnerability mapping, inundation decision making and tsunami advisory generation .   


Keywords


Tsunami, Early warning systems, Decision support systems, Arcsde

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