Recent population growth and actions near hilly areas increase the vulnerability of occurring landslides. Therefore, accurate analysis of unstable slope behavior is crucial to prevent loss of life and destruction to property. Predicting landslide flow path is essential in identifying the route of debris, and it is necessary component in hazard mapping.

However, current methodologies of determining the flow direction of landslides require costly site specific data such as surface soil type, categories of underground soil layers, and other related field characteristics. This paper demonstrates an approach to predict the flow direction without site- specific data, taking a large landslide incident in Sri Lanka at Araranyaka region in the district of Kegalle as a case study. The flow path generated by the model shows more than 87% agreement with actual flow path and other related statistics.

  N. M. T. De Silva and P. Wimalaratne

 International Journal of Advanced Computer Science and Applications(IJACSA)

Abstract :- http://dx.doi.org/10.14569/IJACSA.2020.0111015