An Integrated Decision Support System for Storm Surge Early Warning Using SOA

Abstract

Coastal regions of India are frequently experiencing the land-falling of low-pressure systems such as tropical storms with different intensities. Storm surge and inundation extent associated with cyclones are the main processes that create infrastructure damage and life loss of coastal habitats. 30% of the Indian population lives along the coast. Hence, a real-time storm surge forecast system is very much essential to foresee the risk due to an approaching tropical storm and to prevent the life loss. In view of it, storm surge forecasting system is established by INCOIS. This warning system is utilizing an efficient Decision Support System (DSS) that automates the end-to-end standard operation procedure during a tropical storm. DSS has the capabilities to take the forecasted cyclone track from India Meteorological Department (IMD) as input and launch the storm surge model to cyclone induced coastal inundation. DSS use these model outputs further to generate advisories with maps at required administrative boundaries using Geographic Information System (GIS) platform and disseminate real-time storm surge advisories to stakeholders. DSS provides real-time processing, assessment, visualization, decision making, warnings and dissemination. It is a unique interoperable and standardized tool that supports the operator to manage the event in a short time frame with clear decision process workflows. This paper focuses on architectural and implementation of the Integrated Decision Support System tool that realized on Service Oriented Architecture (SOA).