Researchers from ChangAn University Describe Findings in Geo-science (Prediction of Mountain Landslide Susceptibility and Influencing Factors of Green Landscape Design On Both Sides of Roads)

摘要

2021 SEP 17 (NewsRx) - By a News Reporter-Staff News Editor at Disease Prevention Daily - Current study results on Science - Geoscience have been published. According to news reporting out of Shanxi, People's Republic of China, by NewsRx editors, research stated, "By collecting basic data about the geological environment of the study area, this article introduces the geological environment of the study area in mountainous areas. Use data model, logistic regression model, and spatial logistic regression model to estimate the landslide susceptibility of the area and divide the research area." Our news journalists obtained a quote from the research from ChangAn University, "Based on the GIS platform and the regression model data model, seven evaluation factors were selected-altitude, rock characteristics, distance to the river, distance to the road, distance to the fault zone, vegetation and rainfall, etc. Using spatial logistic regression model and information model to carry out landslide risk prediction and regional assessment in this area, it shows that the development of mountain landslide disasters in the study area has considerable spatial effects. The areas with extremely high and high susceptibility to mountain landslides are mainly distributed in the study area. The southwest region is mainly distributed along rivers, both sides of roads, and near fault zones; most of the low- and medium-risk areas are scattered in higher altitude areas, with large slopes, low human activities, and high vegetation coverage.