Abstract
This paper gives a brief introduction on the background and current status of rainfall-induced landslides along a mountain road (Route T-18) in Taiwan and presents a detailed analysis based on the Gaussian process model for predicting locations and occurrence times of future landslides using post Chi-Chi earthquake historical data. Based on inherent and man-made features of failed and not-failed slopes, locations of possible future landslides owing to rainfall along Route T-18 are predicted. Together with historical rainfall data, a rainfall fragility graph is established. The analysis results show that the Gaussian process model is effective in predicting landslide potentials and probabilities. Comparisons of the Gaussian process analysis and the discriminant function analysis are made, which show that the former outperforms the latter in many respects. The results are valuable for predicting where and when landslides would occur along Route T-18 in future heavy rainfalls.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
