Landslide susceptibility assessment using T-S fuzzy neural network model: A case study of Quanzhou district, Fujian Province

摘要

Proving with Quanzhou Fujian as the research area, the study on regional landslide susceptibility adopts T-S fuzzy neural network model which includes seven landslide triggering factors. The landslide susceptibility map was divided into high, middle, low and no dangerous zones. The results showed that the area of high, middle and low dangerous zones accounted for 2.5%, 11.23% and 45.98% of the total area of Quanzhou district. High and middle landslide susceptibility distributed in the fault zone surrounding rivers and roads by banded form. Finally, the distribution of landslide susceptibility is decreasing gradually from southeast to northwest.