- Dona Paula, Goa, India.
- +91-0832- 2450327
- iiosc2020[at]nio[dot]org
| Abstract Submission No. | ABS-2022-14-0355 |
| Title of Abstract | Spatial Decision support system and GIS for Storm Surge Early Warning Services |
| Authors | J Padmanabham*, PLN Murty*, TVS Udaya Bhaskar, T. Srinivasa Kumar |
| Organisation | Indian National Centre for Ocean Information Services |
| Address | INCOIS, Hyderabad, Telengana, India Pincode: 500090 Mobile: 9494491266 E-mail: padmanabham@incois.gov.in |
| Country | India |
| Presentation | Oral |
| 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 inland inundation extent associated with tropical cyclones are the main processes that create infrastructure damage and life loss of coastal habitats. 30 % of the Indian population lives along the coastal regions. Hence, a real-time storm surge forecasting system is very much essential to foresee the risk due to an approaching tropical storm and to prevent the life loss. Keeping this in view, Indian national centre for Ocean Information Services (INCOIS) established a real-time storm surge forecasting system for the Indian coasts. This warning system is utilising 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 cyclone track from India Meteorological Department (IMD) as input and launch the storm surge model to compute possible inundation due to landfall of cyclone along the Indian coast. DSS use these model outputs further to generate advisories with maps at required administrative boundaries using GIS platform and disseminate to the stakeholders as per the Standard Operating Procedures of the service. DSS provides real-time processing, assessment, visualisation, decision making, warnings and dissemination. It is a unique interoperable and standardised tool that supports the operator in managing the event in a short time frame with clear decision process workflows, and a high degree of usability. |