How does climate change influence regional stability

TL;DR

This paper investigates how climate change, especially long-term average precipitation, impacts regional stability using PCA for factor selection and a BP neural network for evaluation.

Contribution

It introduces a combined PCA and BP neural network approach to quantify climate change effects on regional stability.

Findings

Long-term average precipitation significantly affects regional stability.

PCA effectively identifies key factors influencing stability.

Neural network accurately evaluates the influence of climate factors.

Abstract

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.