Summary of the SCRATCH workshop

International workshop on "Risk assessment of multi-hazards along the Indian coast" was organized during 9-12 July 2007 at Indian Institute of Remote Sensing in collaboration with Asian Institute of Technology (AIT), Bangkok, Thailand as a part of multi-institutional capacity building effort.

The main objective of the workshop was to foster a closer interaction amongst the participants from various leading research institution of the country and sharing their expertise and knowledge on the subject. This workshop will address the use of Remote Sensing and complementing techniques to study the risk assessment of various coastal hazards such as cyclones, storm surges, tsunami, landslide and floods.

Twenty participants and five external resource persons were invited to the workshop. Besides the leading talks presented by the resource persons, participants also presented case studies in their interest related to coastal studies. The following topics were discussed during the workshop.

A. Presentation made by the external and IIRS faculties

  1. Introduction to SCRATCH (Strengthening Capacity on multi-hazard Risk Assessment in Tsunami affected Countries).

  2. Overview of Disasters in India.

  3. Theory of multi-hazard Risk Assessment and case studies

  4. Remote Sensing applications in coastal zone hazards.

  5. Tropical cyclone: Tracking and landfall prediction.

  6. Analysis of sea level data for identifying storm surge events.

  7. Introduction to coastal hazards.

  8. Indian Ocean tsunamis and Earth quake source parameters.

  9. Role of GPS data for Earth quake and Tsunami Studies.

  10. Suitable Site selection for cyclone shelter.

  11. Tsunamis damage assessment case study and evacuation planning.

  12. Indian Space Programme & Natural Disasters.

B. Presentation made by the participants

  1. Coastal Erosion along Mangalore Coast.

  2. Mathematical model to simulate coastal dynamics.

  3. Application of Remote Sensing Techniques to understand the Coastal dynamics - A case study of Karwar, India.

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