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Prasad K. Bhaskaran

Researcher at Indian Institute of Technology Kharagpur

Publications -  113
Citations -  2460

Prasad K. Bhaskaran is an academic researcher from Indian Institute of Technology Kharagpur. The author has contributed to research in topics: Tropical cyclone & Storm surge. The author has an hindex of 21, co-authored 100 publications receiving 1597 citations. Previous affiliations of Prasad K. Bhaskaran include Indian Institutes of Technology.

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Assessment on historical cyclone tracks in the Bay of Bengal, east coast of India

TL;DR: The Bay of Bengal basin in the North Indian Ocean reports the highest number of tropical cyclones, and the frequency is much higher almost five times compared with the Arabian Sea (AS) as discussed by the authors.
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Coastal vulnerability assessment studies over India: a review

TL;DR: In this paper, the authors focused on different vulnerabilities to coast of India and one of the assessment methods, coastal vulnerability index methodology, applied over India and focused on the different vulnerabilities of Indian coast.
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Multi-hazard risk assessment of coastal vulnerability from tropical cyclones - A GIS based approach for the Odisha coast.

TL;DR: The present study makes an attempt to investigate the physical, environmental, social, and economic impacts on coastal vulnerability associated with tropical cyclones for the Odisha coast, and investigates the futuristic projection of coastal vulnerability over this region expected in a changing climate scenario.
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A coupled hydrodynamic modeling system for PHAILIN cyclone in the Bay of Bengal

TL;DR: In this paper, a coupled wave+surge hydrodynamic modeling system (ADCIRC + SWAN) is implemented to simulate storm surge, still water level elevation and wave induced setup associated with Phailin, a very severe cyclonic storm that made landfall in the Odisha State, east coast of India, during October, 2013.
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Application of wave model for weather routing of ships in the North Indian Ocean

TL;DR: Dijkstra’s path optimization scheme, which employs optimal control theory and dynamic programming technique, is used to obtain reliable optimum route in a given random sea-state.