Results 51 to 60 of about 158 (138)
Landslide Susceptibility Assessment Using Combined TRIGRS and Flow-R
Landslides were addressed as one of the natural hazards that can create extensive disasters. Effective assessment to locate potential landslide events is crucial for planning and risk mitigation. This study, which is located in the Sumitro watershed, Kulon Progo, Yogyakarta, presents a novel approach to landslide susceptibility assessment by ...
Rifa’i, Ahmad +7 more
openaire +1 more source
Integration of Physics‐Based and Data‐Driven Approaches for Landslide Susceptibility Assessment
ABSTRACT Rainfall‐triggered landslides pose a significant threat to communities and infrastructure around the world. Various data‐driven and machine learning (ML) based algorithms have been applied to assess landslide susceptibility. However, purely data‐driven methods are affected by issues such as uncertainty in the selection of landslide ...
Yi Han, Shabnam J. Semnani
wiley +1 more source
Among the various predisposing factors of rainfall-induced shallow landslides, land use is constantly evolving, being linked to human activities. Between different land uses, improper agricultural practices can have a negative impact on slope stability ...
Evelina Volpe +4 more
doaj +1 more source
A novel approach for the computation of soil slope stability in distributed hydrologic applications
This paper introduces a novel methodology for the computation of slope stability at catchment scale, coupled with a hydrological model. The method improves the existing Janbu’s method of slices: a series of benchmarks are provided in order to prove that the proposed methodology outperforms the widely used Infinite Slope model.
Riccardo Bonomelli +2 more
wiley +1 more source
Rainfall–triggered clustered landslides pose severe risks to communities and infrastructure in mountainous regions. High–precision susceptibility assessment is essential for early warning and hazard mitigation.
Dalei Peng +8 more
doaj +1 more source
Shallow landslide prediction in the Serra do Mar, São Paulo, Brazil [PDF]
Various methods are currently used in order to predict shallow landslides within the catchment scale. Among them, physically based models present advantages associated with the physical description of processes by means of mathematical equations.
B. C. Vieira +2 more
doaj +1 more source
Rainfall-induced landslides pose a significant threat to the lives and property of residents in the southeast mountainous and hilly area; hence, characterizing the distribution pattern and effective susceptibility mapping for rainfall-induced landslides ...
Siyuan Ma, Xiaoyi Shao, Chong Xu
doaj +1 more source
Abstract Regional‐scale characterization of shallow landslide hazards is important for reducing their destructive impact on society. These hazards are commonly characterized by (a) their location and likelihood using susceptibility maps, (b) landslide size and frequency using geomorphic scaling laws, and (c) the magnitude of disturbance required to ...
Nicolas W. Mathews +4 more
wiley +1 more source
Cracking the type 1 diabetes code: Genes, microbes, immunity, and the early life environment
Summary Type 1 diabetes (T1D) results from a complex interplay of genetic predisposition, immunological dysregulation, and environmental triggers, that culminate in the destruction of insulin‐secreting pancreatic β cells. This review provides a comprehensive examination of the multiple factors underpinning T1D pathogenesis, to elucidate key mechanisms ...
Christopher Yau, Jayne S. Danska
wiley +1 more source
Optimum maintenance units in multi‐indenture systems
Abstract This paper deals with an optimization problem of determining the maintenance units and age‐based inspection schemes to minimize the expected maintenance cost rate and satisfy a target system availability for multi‐indenture systems that have a modular structure with redundant units.
Qian Qian Zhao +3 more
wiley +1 more source

