According to observations over the few years before and after typhoon and extreme rainfall events in the Laonong catchment of Kaohsiung, Southern Taiwan, this study combined a genetic adaptive neural network architecture, image texture analysis, and a geographic information system (GIS) in satellite image interpretation and land use change analysis to obtain disaster records and surface information. A multivariate hazards evaluation method was applied to quantitatively analyze the weights of various natural environmental and slope development hazard factors. Furthermore, this study established a slope landslide potential assessment model and depicted a slope landslide potential diagram by using the GIS platform. The impact of extreme rainfall events on slope landslide and landslide developmental characteristics were discussed. The findings can be a reference for subsequent slope development countermeasures and as an assessment for the academia and engineering fields involved in predicting landslide disasters caused by slope development.
Chue, Yung-Sheng; Chen, Jing-Wan; and Chen, Yie-Ruey
"RAINFALL-INDUCED SLOPE LANDSLIDE PONTENTIAL AND LANDSLIDE DISTRIBUTION CHARACTERISTICS ASSESSMENT,"
Journal of Marine Science and Technology: Vol. 23
, Article 14.
Available at: https://jmstt.ntou.edu.tw/journal/vol23/iss5/14