Multi-hazard Vulnerability Mapping


The coastal areas of India especially along the east coast and Gujarat are most prone to coastal disasters like cyclones, floods and tsunamis. The sea level rise which is expected to occur may inundate coastal areas to various degrees. The super cyclone of Orissa in the year 1999 devastated the coastal area of Paradip with storm surges penetrating up to 100 along the river Mahanadhi causing extensive damage to human life and property. Similarly, tsunami of 2004 caused loss of human life and damage to property to the coast of Tamilnadu. Impact of natural disasters can be minimized significantly if proper and timely information is available. Multi-hazard mapping process supports the requirement of availability of relevant information which helps in preparing disaster mitigation strategies to reduce loss of life and properties.

Multi hazard maps provides details of extent risk involved due to hazards along with details of extent of geographical impact, level of risk and geographical details like extent of human settlement, resources and infrastructure that will be affected. These details are essential to assess the vulnerability of the area to various hazards and take preventive measures. Without such details it would be extremely difficult to deal with disasters.

a) Objectives:

  1. To assess the vulnerability of the Indian coastline by developing methodology, identifying suitable modelling tools and data assimilation techniques for multi hazard modelling and mapping of the Indian coast
  2. A develop a webGIS based coastal vulnerability information system with information on vulnerability of the entire Indian coast due to multihazards and the areas most vulnerable to climatic variants such as sea level rise demarcated using the hazard line
  3. Development of CVI and Multi-hazard Vulnerability Mapping (MHVM) for the entire coastline of India.
  4. Real-time inundation forecast modeling by focusing on development of Stand-by Inundation Models (SIM) and Reference Inundation Models (RIM).
  5. 3-D GIS mapping and survey for selected priority coastal regions, based on population density, economic importance and vulnerability identified from the CVI and MHVM analysis
  6. Risk maps of vulnerable regions
  7. Enhanced modeling and forecast capability of NTEWS.
  8. 3D Geo-coded Object models

b) Participating Institutions:

  1. National Centre for Coastal Research (NCCR), Chennai
  2. Indian National Centre for Ocean Information Services, Hyderabad

Indian National Centre for Ocean Information Services, Hyderabad

The coastal vulnerability maps will be prepared in 1:10000 scale after assessing the coastal vulnerability for each hazard i.e. tsunami, sea level rise, storm surge, extreme waves, coastal erosion, coastal geomorphology, coastal slope and others. The generic available resources/ information about these hazards will be used to analyse to the study the changes in coastal zone due to each hazard, using GIS and analytical modelling tools through a rational scaling of the weightage induced risks for each hazard be delineating risks areas/contours zones. The maps generated will be disseminated to the users through WebGIS.

d) Deliverables

A webGIS based Coastal vulnerability information system will be generated to disseminate information about the vulnerability of the coastal line due to multi hazards. The anticipated hazard line will also be generated to enable scientific and future planning of the coastal zone activities. These maps will be overlaid with information on the critical infrastructure, roads, waterways and environmental resources of the area. In some of priority area, 1:5000 scale maps will also be prepared with greater details of resources and other infrastructure details.

INCOIS developed a comprehensive coastal vulnerability index (CVI) for the Indian coast using different physical and geological parameters on a regional scale

Case studies depicting MHVM for Nellore District and the Cuddalore Region were found to provide intuitive and critical information useful to coastal managers.

Availability of High resolution topographic data from ALTM (5m) and Carto-DTM (10m) data along Indian coast allows the preparation of map at larger scales.

e) Budget requirement : 80 crores

(Rs. In crores)

Budget Requirement
Name of the Scheme2012-132013-142014-152015-162016-17Total
Multi-hazard Vulnerability Mapping10.0020.0020.0015.0015.0080.00


Last Updated On 06/14/2019 - 15:14
Back to Top