MCDM-based flood risk assessment of metro systems in smart city development: A review
This study presents a review of the multi-criteria decision making (MCDM) methods for flood
risk assessment of metro systems in smart city development. Suggestive perspectives of a …
risk assessment of metro systems in smart city development. Suggestive perspectives of a …
Landslide detection from open satellite imagery using distant domain transfer learning
S Qin, X Guo, J Sun, S Qiao, L Zhang, J Yao, Q Cheng… - Remote sensing, 2021 - mdpi.com
Using convolutional neural network (CNN) methods and satellite images for landslide
identification and classification is a very efficient and popular task in geological hazard …
identification and classification is a very efficient and popular task in geological hazard …
Research progress of initial mechanism on debris flow and related discrimination methods: a review
J Du, Z Fan, W Xu, L Dong - Frontiers in Earth Science, 2021 - frontiersin.org
The initial of debris flow can be classified into two types based on their triggering positions,
that is, debris flow from slope and debris flow from gully or channel. For the former, great …
that is, debris flow from slope and debris flow from gully or channel. For the former, great …
Predicting landslide runout paths using terrain matching-targeted machine learning
Landslide debris will travel certain distances and threaten people and properties along its
runout path, highlighting the importance of runout path prediction in landslide risk …
runout path, highlighting the importance of runout path prediction in landslide risk …
The landslide hazard chain in the Tapovan of the Himalayas on 7 February 2021
Abstract On February 7, 2021, a catastrophic landslide occurred in Chamoli, India on the
southern hills of the Himalayas (N, E). About 28× 106 m3 of landslide mass detached from …
southern hills of the Himalayas (N, E). About 28× 106 m3 of landslide mass detached from …
Data-driven landslide forecasting: Methods, data completeness, and real-time warning
Various data-driven methods, including empirical, statistical, and machine learning methods,
have been developed to promptly forecast rain-induced landslides. Their abilities differ …
have been developed to promptly forecast rain-induced landslides. Their abilities differ …
Modeling the landslide-generated debris flow from formation to propagation and run-out by considering the effect of vegetation
This study aimed to investigate the formation and propagation processes of a landslide-
generated debris flow within a small catchment while considering the effects of vegetation …
generated debris flow within a small catchment while considering the effects of vegetation …
Deep learning for landslide detection and segmentation in high-resolution optical images along the Sichuan-Tibet transportation corridor
Landslides pose a greater potential risk to the Sichuan-Tibet Transportation Project, and
extensive landslide inventory and mapping are essential to prevent and control geological …
extensive landslide inventory and mapping are essential to prevent and control geological …
Modelling the evolution of propagation and runout from a gravel–silty clay landslide to a debris flow in Shaziba, southwestern Hubei Province, China
X Hu, L Zhang, K Hu, L Cui, L Wang, Z Xia, Q Huang - Landslides, 2022 - Springer
Numerical modelling, a physically based method, is adopted to obtain an in-depth
understanding of the mechanism of sediment-related hazards such as landslides and debris …
understanding of the mechanism of sediment-related hazards such as landslides and debris …
Comprehensive modelling of runoff-generated debris flow from formation to propagation in a catchment
This study aimed to develop an integrated model of the runoff-generated debris flow that
considers the initial conditions, movement mechanisms, and entrainment effect. The study …
considers the initial conditions, movement mechanisms, and entrainment effect. The study …