... Abstract In this study, a machine learning method, i.e., random forest (RF) model, was employed to assess post-fire debris flow (PFDF) susceptibility after the Xichang forest fire occurred on 30 March, 2020. First, we conducted a tracking survey in the rainy season, on-site tests, and remote...

... Abstract Landslide susceptibility is an important activity in landslide hazard assessment. With the advancement of artificial intelligence, the machine learning algorithm is applied in the landslide susceptibility assessment, has recently gained immense attention due to the advantages...

... Abstract A quick, simple and quantitative method for the estimation of surface subsidence susceptibility in mined areas with a lack of detailed geological and geometrical information in underground is presented in this paper. In the method only gangway depth from the surface and the attitude...

... in evaluations that make it difficult for others to understand the basis for evaluation. This study aimed at adding quantitative indexes to core observation. Measurements of magnetic susceptibility and color were done for drill cores of igneous rocks and sedimentary rocks. To examine the validity...

... investigation, an attempt is made to explore the possibility of using anisotropy of magnetic susceptibility (AMS) data as a gauge of rock strength anisotropy. For this, 10 blocks of quartzites that do not show mesoscopic foliations were sampled from a quarry in the Ghatshila area (eastern India). AMS analysis...