Regional landslide susceptibility prediction (LSP) research is of great significance to the prevention and control landslides. This study focuses on LSP modelling based decision tree model. Taking northern part An’yuan County Jiangxi Province as an example, 14 environmental factors including elevation, gully density lithology are obtained geographical information system (GIS) remote sensing sat...

Bouguer gravity anomalies (BGA) play an important role in exploration of mineral resources. Allowing the delineation large geological structures, BGA participate into discovery deposits. However, Kiri uplift region where several oil seeps have been recognized faces sparse coverage data due to difficult conditions acquisition on field. This situation increases non-uniqueness and nonlinearity pro...

Electronic reference Eymeric Morin, Florent Hinschberger, Jean-Jacques Macaire, Isabelle Gay-Ovéjéro and Caroline Chartin, « Significance of the correlation between the electrical conductivity dataset and lithology in Pleni-Lateglacial and Holocene alluvial archives. A case study: the Choisille catchment (SW Paris Basin, France) », ArcheoSciences [Online], 33 (suppl.) | 2009, Online since 30 Oc...

Algorithms for inversion of seismic prestack AVO data into lithology-fluid classes in a vertical profile are evaluated. The inversion is defined in a Bayesian setting where the prior model for the lithology-fluid classes is a Markov chain, and the likelihood model relates seismic data and elastic material properties to these classes. The likelihood model is approximated such that the posterior ...

In this paper, we propose a methodology for validating landslide susceptibility results in the Pinggu district (Beijing, China). A landslide inventory including 169 landslides was prepared, and eight factors correlated to landslides (lithology, tectonic faults, topographic elevation, slope gradient, aspect, slope curvature, land use, and road network) were processed, integrating two techniques,...

This study mapped and analyzed groundwater potential using two different models, logistic regression (LR) and multivariate adaptive regression splines (MARS), and compared the results. A spatial database was constructed for groundwater well data and groundwater influence factors. Groundwater well data with a high potential yield of ≥70 m3/d were extracted, and 859 locations (70%) were used for ...