Slope failure along highways is a crucial problem in hilly regions. Landslide hazard maps
are very efficient and effective tools for planning and management of landslide disasters …

The present study aims to develop two hybrid models to optimize the factors and enhance
the predictive ability of the landslide susceptibility models. For this, a landslide inventory …

Landslide inventory is an indispensable output variable of landslide susceptibility prediction
(LSP) modelling. However, the influence of landslide inventory incompleteness on LSP and …

There is a growing demand for detailed and accurate landslide maps and inventories
around the globe, but particularly in hazard-prone regions such as the Himalayas. Most …

Rainfall-induced landslides, exacerbated by climate change, require urgent attention to
identify vulnerable regions and propose effective risk mitigation measures. Extensive …

Hazards and disasters have always negative impacts on the way of life. Landslide is an
overwhelming natural as well as man-made disaster that causes loss of natural resources …

Among natural hazards, landslides are devastating in China. However, little is known
regarding potential landslide-prone areas in Maoxian County. The goal of this study was to …

The optimization of spatial planning in order to identify the most suitable places for the
installation of wind farms is one of the most difficult problems mainly due to the need of …

The main purpose of this paper is to explore some potential applications of sophisticated
machine learning techniques such as the kernel logistic regression, Naïve-Bayes tree and …

编制科学的滑坡易发性分区图, 可以有效降低灾害带来的损失. 以云南省芒市为研究区,
利用确定性系数模型(certainty factor, 简称CF) 方法计算各个因子的敏感值 …