A common method to divide the natural disaster by the degree of disaster damage

Of course, in terms of local areas, for example, in a certain mountain flood ditch, the degree of impact of mountain torrents can be used to classify the level of mountain torrents, but this grade can only be used for this torrential ditch; The above mentioned flood, urban waterlogging, geological disasters and so on are also true. For the purpose of disaster prevention, the classification of such local disaster levels is necessary, but it cannot be used elsewhere.

It is a common method to divide the natural disaster by the degree of disaster damage, and the classification of disasters in emergency plans is such an idea. For example, the drought is classified according to the area and extent of damage to crops and what we need to study is the meteorological conditions that cause different levels of drought. The biggest problem in classifying disaster levels by disaster data is that the time series of disaster data is not a smooth Markov process. This is easy to understand. Because in the past 30 years since China’s reform and opening up, as the economy develops rapidly, the absolute value of economic losses caused by natural disasters of the same intensity has greatly increased, but at the same time, the capacity of disaster prevention has been greatly enhanced. Therefore, it is necessary to gradually update the method of dividing disaster levels by economic losses. In Chapters 6 and 7 of this book, we will discuss how to deal with disaster data. This book focuses on the classification of disaster – inducing factors.