L Shano, TK Raghuvanshi, M Meten - Geoenvironmental Disasters, 2020 - Springer
Landslides are the most destructive geological hazard in the hilly regions. For systematic landslide mitigation and management, landslide evaluation and hazard zonation is required …
X Zhou, H Wen, Y Zhang, J Xu, W Zhang - Geoscience Frontiers, 2021 - Elsevier
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 …
With the growth of cities, urban flooding has increasingly become an issue for regional and national governments. The destructive effects of floods are magnified in cities. Accurate …
D Sun, J Xu, H Wen, D Wang - Engineering Geology, 2021 - Elsevier
This study aims to develop two optimized models of landslide susceptibility mapping (LSM), ie, logical regression (LR) and random forest (RF) models, premised on hyperparameter …
The main objective of the current study was to introduce a Deep Learning Neural Network (DLNN) model in landslide susceptibility assessments and compare its predictive …
Y Wu, Y Ke, Z Chen, S Liang, H Zhao, H Hong - Catena, 2020 - Elsevier
Landslides are a common type of natural disaster that brings great threats to the human lives and economic development around the world, especially in the Chinese Loess Plateau …
This study proposed an integrated approach to generating a forest fire risk map. It used geographic information system–based multiple criteria decision analysis (GIS-MCDA) with …
Flood is a devastating natural hazard that may cause damage to the environment infrastructure, and society. Hence, identifying the susceptible areas to flood is an important …