Aiping Tang - School of civil engineering, Harbin Institute of Technology，Harbin, Heilongjiang Province۱۵۰۰۹۰, P.R.China.
Ali Mostafaeipour - Industrial Engineering Department, Yazd University, Yazd, Iran.
Aihua Wen - School of Science, Harbin Institute of Technology，Harbin, Heilongjiang Province ۱۵۰۰۹۰, P.R.China

The earthquake risk management has become the powerful tool in the procedure of programming the earthquake disaster mitigation and preparation stratagem. This paper presents a typical decision support system for Earthquake risk Management in China. The principle, design criteria, structure, functions and application of the system are described herein. This system, based on Geographical Information System and Artificial Intelligence, consists of below several parts: earthquake hazard analysis, lifeline system performance analysis, kinds of building earthquake damage forecasting, post-earthquake emergency response aided-decisions and earthquake information instant publishing. In this system, there are more than 100 coverages and 36 analytical models. These coverages cover almost all related data that meets the need of earthquake disaster mitigation and risk assessment, including recorded earthquakes, seismic tectonic zones, intensity distribution of historic earthquake, soil profiles, characteristics of buildings, distribution of citizens, important lifeline systems, earthquake rescuing experience and knowledge, etc. These analytical modules can be used to generate isoseismals of earthquake, estimate site effects, forecast the failure possibility of slope and the damage bound of landslide triggered by earthquake, evaluate performance, damage and losses of building and lifeline system, assess the toll of death and injured, and provide the decision-making for rescue, relief, evacuation.

Earthquake, Risk, Management, Decision Support, Geographical Information System, GIS, Artificial Intelligence, Disaster, Mitigation