Environment Risk Analysis - Indian Coast Guard
Environment Risk Analysis - Indian Coast Guard Environment Risk Analysis - Indian Coast Guard
Remote Sensing & GIS :Tool in Risk Assessment* • Provide a real time and low cost system for detecting oil spill, and assess spillage risk. • The System is made of three sub-systems, that is, (i) Detection and Monitoring, (ii) spatial database, and (iii) Prediction. • Oil spill data, access and protection information will be placed in GIS database and interfacing it with a relational database for rapid access, retrieval and query. *: Shattri B: Remote Sensing and GIS Application In Oil Spills Risk Assessment, GIS Development.net,1998 10 th NOS-DCP Meeting 36 Prof. Manju Mohan CAS, IIT Delhi
• The remotely sensed data as spatial data input is used to derive valuable information about marine water pollution, especially on oil spillage. • The remotely sensed data including LANDSAT TM, SPOT Panchromatic and MSS (Multi Spectra Scanner), and air-borne images are integrated in the GIS based oil spill risk management system in order to detect, assess the risk and handle the oil spills problem in an alert situation. 10 th NOS-DCP Meeting 37 Prof. Manju Mohan CAS, IIT Delhi
- Page 1 and 2: THE TENTH NATIONAL OIL SPILL DISAST
- Page 3 and 4: MAJOR OIL SPILL INCIDENTS Year Plac
- Page 5 and 6: Stages of Risk Analysis Hazard Iden
- Page 7 and 8: 2. Frequency Analysis i.e. Assessme
- Page 9 and 10: 4. Risk Calculation: Broadly risk c
- Page 11 and 12: CASE STUDIES 10 th NOS-DCP Meeting
- Page 13 and 14: Background of the Analysis • Cret
- Page 15 and 16: Map of Crete 10 th NOS-DCP Meeting
- Page 17 and 18: • As per priorities of significan
- Page 19 and 20: • The combined Risk Units for eac
- Page 21 and 22: Results from Crete Oil Spill Risk A
- Page 23 and 24: Risk Combination for Tourist zones,
- Page 25 and 26: METHODOLOGY OVERVIEW • Hazard ide
- Page 27 and 28: Location of Gulf of Mexico Counties
- Page 29 and 30: • At about 11 km intervals in the
- Page 31 and 32: • The model counts the occurrence
- Page 33 and 34: Results from GoM Oil Spill Risk Ana
- Page 35: 10 th NOS-DCP Meeting 35 Prof. Manj
- Page 39 and 40: • The GIS based system can be use
- Page 41 and 42: CONCLUSIONS • A schematic risk as
• The remotely sensed data as spatial data input is used<br />
to derive valuable information about marine water<br />
pollution, especially on oil spillage.<br />
• The remotely sensed data including LANDSAT TM,<br />
SPOT Panchromatic and MSS (Multi Spectra Scanner),<br />
and air-borne images are integrated in the GIS based oil<br />
spill risk management system in order to detect, assess<br />
the risk and handle the oil spills problem in an alert<br />
situation.<br />
10 th NOS-DCP Meeting<br />
37<br />
Prof. Manju Mohan<br />
CAS, IIT Delhi
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