Landslide susceptibility analysis based on the strong ability of data mining of Geographic Information System (GIS) has become a hot topic in international landslide research. This paper used optimized decision tree and GIS databases to analyze the sensitivity in the northwest mountain areas of Yunnan province of China, and then discussed the formation mechanism of the landslide happened in the area. The translational landslide located in the area with an average gradient less than or equal to 28.7° was reclassified as a higher level 3 sensitive area than before according to the normalized different fault index (NDFI). The results showed that the data mining based on GIS 3D space–time information database can help to find the unique topography, geology hydrology and the other typical spatial information of some special typed of landslides such as translational landslides, thus it can illustrate the relationship between the landslides and their sensitivity factors. The improved landslide susceptibility analysis will provide a new method for identifying the genetic mechanism of landslide, and play an important role in the government regional planning and disaster prevention measures.
More than twenty mafic-ultramafic complexes, which host several mediumor large-sized Cu−Ni deposits, occur along the Huangshan-Jingerquan
(HJ) belt in East Xinjiang. Rock types in these complexes are predominated by peridotite, pyroxene peridotite, olivine pyroxenite,
gabbronorite, orthopyroxene gabbro, troctolite, gabbro and diorite. The ultramafic rocks are relatively Fe-enriched and are
characterized by an assemblage of olivine+orthopyroxene+clinopyroxene+hornblende±plagioclase without obvious metamorphic textures.
Chemically, these complexes are relatively Fe-enriched and show a tholeiitic trend of evolution. The complexes in this belt
are intruded under the extensional environment in a Mid-Carboniferous back-arc basin. They can be considered as a new type
of mafic-ultramafic complexes in orogenic belts, as designated by the name of the East-Xinjiang-type complexes.
This project was financially supported by the National Natural Science Foundation of China. 相似文献