With the deeper and deeper researches on evaluation of disaster risks by the scholars who are for the theory of disaster-causing factors and the theory of disaster-affected body, more and more scholars began to comprehensively consider the disaster risks generated by the combination of disaster-causing factors and the hazard-affected bodies, and applied them to the disaster risk evaluation of a single disaster.
Pei Luo applied GIS to study the main meteorological disasters such as drought and rainstorm in Chongqing. Using GIS analysis to gain the disaster risk, the vulnerability of hazard-affected bodies layers according to the calculation results of attribute database and graph database. Through the superposition of the layers, the patch merging and hierarchy, the results of risk division due to meteorological disasters such as drought, rainstorm in Chongqing have been obtained.
Fenghua Wei constructed the risk assessment model of Tangshan, and creatively proposed that the model was made up of the risks of disasters and the vulnerability of the hazard-affected body. The empirical analysis is based on the characteristics, hazard characteristics and social economic conditions of geological disasters in Tangshan.
Aiming at the main natural disasters of our country, such as flood, earthquake, landslide, debris flow, etc., Peijun Shi carried out researches on the evaluation of natural disaster risks, and thus established natural disaster risk evaluation model, taking the urban vulnerability index and intensity of urban natural disaster index as the indicators. According to that, he divided the risks of high frequent disasters into high, low, medium, low and high, a total of five levels. At the same time, he draw the map of China's urban natural disaster risk assessment according to different city types in our country.
Shiyuan Xv and others teased out the main vein of the researches on natural disasters carried out in China's coastal areas. He thought that at this stage we need to carry out empirical researches on natural disaster risk, especially in the coastal areas.
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