Abstract:
Landslide hazards constitute a significant controlling factor in the development and utilisation of land in mountainous townships. However, research into the spatial development of landslides and changes in land use within these areas remains insufficient. Taking Yunyang County in Chongqing Municipality as a case study area, a landslide susceptibility index system was constructed based on 773 historical landslide sites, incorporating nine influencing factors including elevation and slope gradient. Susceptibility modelling was conducted using random forest and logistic regression models. Based on land use changes from 2000 to 2020, the Apriori algorithm was applied to identify association rules between susceptibility and land use changes in the main urban area. Results indicate that average precipitation and elevation are the primary controlling factors for landslide occurrence. High-risk landslide zones within the study area predominantly concentrate along the Yangtze River and its tributaries, as well as road corridors. Association rules linking land use conversion to construction and agricultural land with high-risk zones exhibit high confidence levels. Mining landslide susceptibility and land use change data clarifies the probability of landslide development under different land use conversion patterns, providing a theoretical basis for landslide prevention and mitigation.
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