  Nowadays, different places have different region stability, which is
influenced by lots of factors. In this paper ,it is aimed to analyze the
influence of climate change on regional stability. several factors that may
influence the region stability are proposed. Then Principle Components Analysis
(PCA) was used to select the most relevant factors. After that ,a BP neural
network is established considering all the principle components to evaluate the
Region Stability (RS). Subsequently, the specific influence of the climate
change is analyzed and the results showed that long term average precipitation
is a main climate factor influencing the RS.
