Article
Geosciences, Multidisciplinary
Adolfo Quesada-Roman
Summary: This study analyzed landslide hazard, vulnerability, and risk in Costa Rica using the DesInventar disaster database and generalized linear models. The results showed that terrain, precipitation curves, and earthquakes were the main factors contributing to landslide hazard, while population, municipality area, and the Social Development Index were key variables affecting vulnerability. The multiplication of alternative landslide hazard and vulnerability indexes produced the risk index, indicating higher risk values in certain large and rural municipalities as well as densely populated urban units.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Article
Geosciences, Multidisciplinary
A. Novellino, M. Cesarano, P. Cappelletti, D. Di Martire, M. Di Napoli, M. Ramondini, A. Sowter, D. Calcaterra
Summary: This study presents a novel methodology integrating machine learning algorithms to assess landslide risk for slow-moving mass movements. By analyzing InSAR data, it identifies fifteen slow-moving phenomena traceable since 1955, with seven currently active landslides characterized by seasonal velocity patterns. This new methodology offers a different landslide risk scenario compared to existing official documents and provides insights on developing landslide risk management strategies worldwide.
Article
Environmental Sciences
Matthew. M. M. Crawford, Jason. M. M. Dortch, Hudson. J. J. Koch, Yichuan Zhu, William. C. C. Haneberg, Zhenming Wang, L. Sebastian Bryson
Summary: This study assessed risk modeling in a landslide-prone region of eastern Kentucky, USA, using variable quality data, showing 64.1% of the study area classified as moderate to high socioeconomic risk. Changes in hazard and exposure inputs significantly impact the quality and applicability of risk maps, demonstrating a range of risk modeling approaches.
Article
Green & Sustainable Science & Technology
Faila Benzenine, Mohamed Amine Allal, Cherifa Abdelbaki, Navneet Kumar, Mattheus Goosen, John Mwangi Gathenya
Summary: The study aimed to assess and utilize mapping methods for predicting landslide hazards in order to limit the damage caused by this phenomenon. Two different methods, the standard Fares method and the modified Fares method, were compared, and it was found that the modified Fares method, which includes dynamic factors, was more reliable and useful for decision making and town planning. The research highlights the importance of utilizing reliable maps for land development purposes to reduce the risk of landslides.
Article
Green & Sustainable Science & Technology
Nisar Ali Shah, Muhammad Shafique, Muhammad Ishfaq, Kamil Faisal, Mark van der Meijde
Summary: This study proposes an integrated approach to evaluate landslide hazard, vulnerability, and risk in the Hindukush mountain ranges of northern Pakistan using freely available geospatial data and semi-quantitative techniques. The developed landslide risk index map can assist in identifying risk hotspots and guiding mitigation efforts.
Article
Environmental Sciences
Cong Dai, Weile Li, Huiyan Lu, Shuai Zhang
Summary: This paper proposes a new method for landslide hazard assessment that combines the deformation rate results obtained by InSAR with conventional assessment results. By considering the deformation factor of the study area, the hazard assessment level is obtained. Through a case study, it is demonstrated that this method can achieve near-term hazard assessment and dynamic regional landslide hazard assessment.
Article
Engineering, Geological
Massimiliano Alvioli, Valerio Poggi, Antonella Peresan, Chiara Scaini, Alberto Tamaro, Fausto Guzzetti
Summary: There are statistical and deterministic approaches to describe seismic triggering of rockfalls. Statistical approaches rely on the analysis of local terrain properties, while deterministic approaches model individual trajectories of boulders set in motion by seismic shaking. In this study, a new method for earthquake-triggered rockfall scenario assessment is proposed, using ground shaking estimates produced in near real-time by a seismological monitoring network. It applies a probabilistic source map and three-dimensional kinematic modeling to calculate rockfall trajectories.
Article
Geosciences, Multidisciplinary
Francesco Caleca, Veronica Tofani, Samuele Segoni, Federico Raspini, Rachele Franceschini, Ascanio Rosi
Summary: Landslides are a significant natural hazard worldwide, causing severe damage. Through quantitative risk assessment, losses can be reduced. This study evaluated the reliability of QRA for slow-moving landslides in the Arno River basin in Central Italy, showing a high level of accuracy.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Environmental Sciences
R. A. Emberson, D. B. Kirschbaum, T. Stanley
Summary: This study focuses on analyzing landslide susceptibility, hazard, and exposure in the region around Rohingya refugee camps in Bangladesh, where limited data and a major humanitarian crisis exist. The research demonstrates high accuracy in estimating susceptibility of relatively small landslides, and emphasizes the importance of communication with humanitarian stakeholders for decision-making related to natural hazards and risk. The methods presented in this study could be applied to generate landslide hazard and exposure maps in other data-poor regions globally.
Article
Geosciences, Multidisciplinary
Ming Chang, Peng Cui, Xiangyang Dou, Fenghuan Su
Summary: The research quantitatively assessed the risk of landslides in the China-Pakistan Economic Corridor, analyzed through establishing an evaluation index system and four main steps. The results showed that 31.5% of the research areas are at a moderate risk level or higher, which can further aid in transportation planning, resettlement region selection, and mitigation measure formulation.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Article
Engineering, Geological
Tyler Rohan, Eitan Shelef, Ben Mirus, Tim Coleman
Summary: Landslides are affected by anthropogenic modifications associated with land development, and quantifying their influence on landslide occurrence is essential for sustainable development efforts. This study analyzed a landslide inventory from southwestern Pennsylvania to quantify the long-lasting effect of urbanization on landslide susceptibility. The findings reveal that urbanized areas are more susceptible to landslides, with strong associations to road distance and topographic curvature. Non-urbanized areas, on the other hand, show strong associations with stratigraphic formation and distance from streams. These consistent differences highlight the need for separate susceptibility assessments in different environments to account for the persistent influence of urbanization.
Article
Engineering, Geological
Lei Zhu, Siming He, Haokun Qin, Wenxiu He, Haiquan Zhang, Yi Zhang, Jihao Jian, Jiehao Li, Pengcheng Su
Summary: This study investigated the formation and impacts of a disaster chain induced by a debris flow along the Xiaojin River on the eastern Tibetan Plateau of China. The research demonstrated that multiple factors contributed to the generation of the disaster chain, and detailed analysis was conducted on the activation of potential landslides and the evolution of flooding.
ENGINEERING GEOLOGY
(2021)
Article
Green & Sustainable Science & Technology
He Yang, Qihong Wu, Jianhui Dong, Feihong Xie, Qixue Zhang
Summary: This study uses field survey and remote sensing data to comprehensively evaluate landslide susceptibility in the Datong mining area of Qinghai Province. Factors such as topography, lithological structure, mining engineering activities, land use, and dynamic deformation are considered, and the hazard and risk of landslides are quantitatively assessed using the Topographic Wetness Index (TWI) and the Human Engineering Activity Intensity (HEAI). The weight-of-evidence approach is used for mapping landslide hazard and risk. The results show that there are large areas of extremely high-hazard and high-risk areas induced by human engineering activities.
Article
Oceanography
T. Zengaffinen-Morris, R. Urgeles, F. Lovholt
Summary: This study establishes a new database in the Gulf of Cadiz to estimate the uncertainty related to submarine landslide dynamics for Probabilistic Tsunami Hazard Analysis (PTHA). By calibrating landslide parameters and uncertainties using the newly acquired data, the research aims to understand the correlation between landslide motion and tsunami genesis, highlighting key parameters that influence tsunami uncertainties.
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2022)
Article
Engineering, Civil
Dingzhu Liu, Yifei Cui, Hao Wang, Wen Jin, Chunhao Wu, Nazir Ahmed Bazai, Guotao Zhang, Paul A. Carling, Huayong Chen
Summary: The study demonstrates that successive landslides pose a threat to river channels, potentially triggering more severe floods. Analysis of two flooding events shows that the effective dam height significantly influences peak discharge of floods, exhibiting a linear relationship. Additionally, the narrowing effects of river sections during landslide processes also increase flood risk.
JOURNAL OF HYDROLOGY
(2021)