Environmental Risk Reporting and Information System
   
       
 

 
 


Cause-Consequence Analysis (CCA) is a blend of fault tree and event tree analysis. This technique combines cause analysis (described by fault trees) and consequence analysis (described by event trees), and hence deductive and inductive analysis is used. The purpose of CCA is to identify chains of events that can result in undesirable consequences. With the probabilities of the various events in the CCA diagram, the probabilities of the various consequences can be calculated, thus establishing the risk level of the system.

Consequence analysis is done by considering accident locations and computing the physiological damage and lethality effects of heat fluxes generated from fires. Subsequent effects on people located within a certain distance from such fires is estimated. The total risk is determined by summing the risk associated with each fire/accident scenario.



A typical Cause-Consequence Analysis Diagram

The technique was invented by RISO Laboratories in Denmark to be used in risk analysis of nuclear power stations. However, it can also be adapted by the other industries in the estimation of the safety of a protective or other system.

 

Quantitative Risk Analysis (QRA)

         
 
 
This site is optimized for viewing with IE 5.0 and higher at 1024x768 resolution or higher.
Copyright 2003-2007. Indian Chamber of Commerce, Calcutta, India. Site designed and maintained by ICC Informatics.