Understanding Disaster Risk


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data

We need data on hazard, exposure, vulnerability and losses in order to understand and assess disaster risk.

risk models

Computational risk modelling allows us to couple exposure data with vulnerability and hazard models to generate deterministic and probabilistic risk estimates.

TRENDs

Top trendsrecent trends in disaster risk

TREND

Partial success in reducing mortality associated with intensive risks

SEE TREND

TREND

Climate change is predicted to increase disaster risk in the Caribbean basin

SEE TREND

learn by example

relevant risk and hazard stories

STORY

Exposure and vulnerability turn a hazard into a disaster

Haiti, Chile and Japan

READ STORY

STORY

Drought risk in the Navajo Nation

USA

READ STORY

EDITED 12 NOV 2015 BY: PREVENTIONWEB EDITOR