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Viet-Ha, N., Ataollah, S., Himan, S., Sushant, K., S., Nadhir, A. A., John, J., Abolfazl, J., Wei, C., Shaghayegh, M., Jie, D., Chinh, L., Krzysztof, G., Binh, T., Huu, D., & Baharin, B. (2020). Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms. International Journal of Environmental Research and Public Health, 17, Article No. 2749.
https://doi.org/10.3390/ijerph17082749

has been cited by the following article:

• TITLE: Application of Frequency Ratio Method for Landslide Susceptibility Mapping in the Surkhob Valley, Tajikistan

  AUTHORS: Shakhloi Mukhammadzoda, Faizulloev Shohnavaz, Oimuhammadzoda Ilhomjon, Guangcheng Zhang

  KEYWORDS: Component, Formatting, Style, Styling

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.9 No.12, December 29, 2021

  ABSTRACT: In the valley of the Surkhob River, manifestations of modern geological processes, characterized by various forms of manifestation, are widely developed. Studying these processes is of utmost importance, primarily landslides, which are directly related to the loss of stability of rocks on the slopes. Landslide processes in the Surkhob River valley, regardless of their type, cause significant economic damage to the population and the economy, as well as negatively impacting human living conditions. The primary goal of this project is to map landslide susceptibility using a geographic information system and quantitative and semi-quantitative methods. Landslide susceptibility assessment of this research was conducted using slope (degree), aspect of the slope, curvature, stream power index, topographic wetness index, precipitation and altitude. Except for precipitation, which was collected from the world climate site, most of the causal elements were derived from DEM from the SRTM (Shuttle Radar Topography Mission) database, with cell sizes of 30 m. 416 landslides were discovered from satellite pictures of Google Earth Pro and then validated in the field to analyses the link between causative factors and landslide inventory. To measure the weights of each causal element, the frequency ratio (FR) and the analytical hierarchy process (AHP) were used. The quality of the landslide susceptibility map was determined using the Receiver Operating Characteristics curve (ROC), and the AUC value was determined to be 0.877. It is possible to use the landslide susceptibility map as an engineering and geological basis for establishing a national economic development plan for the territory of the Surkhob River valley.