Disaster   Monitoring and Risk Assessment


International Association for Mathematical   Geosciences (IAMG)  

State Key Laboratory of Resources &   Environmental   Information System


Jennifer McKinley;

Yong Ge


Monitoring, forecasting and preventing   disasters are main topics of risk reduction and   sustainable social   development, because natural disasters always occur suddenly. Disaster   monitoring requires integration of geology, geodesy,  physics, as well   as computer science. Deep insights into the formation   mechanics and   inducing factors of geo-disasters can help with continuous improvement and   innovation of monitoring theories and equipment. Nowadays, high-tech means   such as remote sensing, satellite positioning, and geographic information   systems have been increasingly involved into disaster monitoring. Benefited   from these techniques, the monitoring process along with subsequent disaster   warning and assessment has become semi-quantitative – quantitative. Besides,   the research on risk evaluation is also notably improved. It aims at     reducing the loss of life and properties by preventing, avoiding, controlling   and managing disasters. The study contents of disaster assessment are   diversified. A comprehensive frame of research work has been established with   multiple disciplines and knowledge domains. Rapid development of artificial     intelligence, nonlinear theories and GIS-based information models   brings new challenges and prospects to disaster monitoring and risk   assessment.  


1.        Methods and techniques for disaster   recognition and monitoring.

2.        Models for disaster analysis and   assessment.

3.        Strategies for risk acceptance, reduction   and management.

4.        Current status and demands for   International cooperation of silk-road countries.


Dr.   Jie Zhao (