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 Studies
Spyridon Lainas, Nikolaos Depountis, Nikolaos Sabatakakis
Summary: A new methodology for forecasting shallow landslides in wildfire burned areas is proposed by estimating the annual probability of rainfall threshold exceedance based on geological fieldwork and statistical analyses. The study concludes that the annual exceedance probability of rainfall-induced landslides in burned areas is higher when cumulative rainfall duration ranges from 6 to 9 days, with local differences due to geological conditions and landscape characteristics.
Article
Geosciences, Multidisciplinary
Alexander L. Handwerger, Adam M. Booth, Mong-Han Huang, Eric J. Fielding
Summary: The study utilized satellite data to measure the three-dimensional surface deformation of 134 slow-moving landslides in the northern California Coast Ranges and infer their volume, active area, and frictional strength. It was found that these landslides primarily increase in size by expanding in area, and that frictional strength decreases with increasing landslide size.
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2021)
Article
Engineering, Geological
Te Xiao, Li -Min Zhang
Summary: This study systematically compares the performances of three categories of data-driven methods for landslide prediction and proposes a novel machine learning model that can accurately predict the spatio-temporal evolution of rain-induced landslides. The model is validated against the landslide incidents in Hong Kong in the past 35 years and outperforms other data-driven models in both prediction ability and accuracy.
ENGINEERING GEOLOGY
(2023)
Article
Engineering, Geological
Faming Huang, Haowen Xiong, Chi Yao, Filippo Catani, Chuangbing Zhou, Jinsong Huang
Summary: Most literature on landslide susceptibility prediction only focuses on a single type of landslide, which affects the prediction accuracy. Taking Huichang County in China as an example, this study constructs a landslide susceptibility prediction model considering different landslide types. The results show that the model considering different landslide types is more accurate than the model considering only a single type.
JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING
(2023)
Article
Environmental Sciences
Caihong He, Qian Sun, Jun Hu, Rong Gui
Summary: Strong earthquakes can trigger many landslides and change the stability of slopes, leading to long-term slope activity. Studying the variation of slow-moving slopes before and after earthquakes is crucial for understanding the mechanism of earthquake-affected landslides and assessing long-term landslide risk in seismically active areas.
Article
Geosciences, Multidisciplinary
Sylvain Fiolleau, Sebastian Uhlemann, Stijn Wielandt, Baptiste Dafflon
Summary: A novel approach combining passive seismic and low-cost inclinometer monitoring methods is presented in this study to improve understanding of landslide activation mechanisms and their controls. The results show the value of combining these two methods for observing and monitoring landslide hazards. The combination of passive seismic monitoring and low-cost inclinometers enables quantification of sliding mechanisms and the design of landslide early warning systems.
JOURNAL OF APPLIED GEOPHYSICS
(2023)
Article
Engineering, Geological
Francesco Caleca, Veronica Tofani, Samuele Segoni, Federico Raspini, Ascanio Rosi, Marco Natali, Filippo Catani, Nicola Casagli
Summary: This study presents a novel methodological approach for quantitative risk assessment of slow-moving landslides, applied in the Arno River basin in Central Italy. The findings show that the total risk in the study area amounts to approximately 7 billion euro. The proposed methodology demonstrates feasibility and discusses obtained results for regional/national scale risk assessment analysis.
Article
Engineering, Geological
Bastian Van den Bout, Luigi Lombardo, Ma Chiyang, Cees van Westen, Victor Jetten
Summary: The research introduces an iterative method for finding progressive slope failure surfaces while considering lateral forces due to weight of the fractured failure material. The method performed well in predicting smaller failures, but ellipsoid sampling methods proved to be more robust for larger slope failures. Comparison with other free and open-source methods showed complex variation in failure surface patterns for the 2009 Messina event, highlighting the potential of the method to provide catchment-scale deterministic failure volume and geometry for future disasters.
ENGINEERING GEOLOGY
(2021)
Article
Environmental Sciences
Dongdong Yang, Haijun Qiu, Yaru Zhu, Zijing Liu, Yanqian Pei, Shuyue Ma, Chi Du, Hesheng Sun, Ya Liu, Mingming Cao
Summary: Adjacent landslides with different movement processes occurred in Hualong County, China. Displacement processes of these landslides were detected using InSAR techniques. Effective antecedent precipitation and existing landslide deformation can trigger new landslides.
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
N. J. Finnegan, E. E. Brodsky, H. M. Savage, A. L. Nereson, C. R. Murphy
Summary: This study reveals that displacement of an active slow landslide is mainly accommodated through mm-scale stick-slip events, and the frequency of these events is related to landslide velocity and pore fluid pressure. This observation suggests similarities between slow slip in landslides and episodic slow slip along faults.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Geosciences, Multidisciplinary
Changhu Xue, Kejie Chen, Hui Tang, Chaoqi Lin, Wenfeng Cui
Summary: During an earthquake sequence, understanding the spatial distribution of landslides triggered by the first earthquake can help predict landslide susceptibility for subsequent shakes. This study used machine learning algorithms to construct short-term and overall prediction models, finding that the overall model had higher accuracy in predicting the spatial distribution of earthquake-triggered landslides.
Article
Geography, Physical
Keren Dai, Jin Deng, Qiang Xu, Zhenhong Li, Xianlin Shi, Craig Hancock, Ningling Wen, Lele Zhang, Guanchen Zhuo
Summary: This study conducted an early identification of potential landslides in Mao County, Sichuan, China using SBAS-InSAR and detected a total of 41 potential landslides. The results showed that the measurements of InSAR displacements are dependent on slope aspect and gradient. The study also derived a displacement sensitivity map of InSAR in landslide measurement.
GISCIENCE & REMOTE SENSING
(2022)
Article
Engineering, Geological
William Frodella, Ascanio Rosi, Daniele Spizzichino, Massimiliano Nocentini, Luca Lombardi, Andrea Ciampalini, Pietro Vannocci, Niandry Ramboason, Claudio Margottini, Veronica Tofani, Nicola Casagli
Summary: A study conducted on the High City of Antananarivo, an important cultural heritage site in Madagascar, assessed the landslide hazard in the area. The study found that slope, lithology, creek erosion, and human activities are the main factors affecting landslides, with heavy rainfall being the primary trigger. The study's findings provide fundamental land use management tools for the protection and conservation of the High City.
Article
Engineering, Environmental
Nikolaos Depountis, Konstantinos Nikolakopoulos, Katerina Kavoura, Nikolaos Sabatakakis
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2020)
Article
Engineering, Geological
Katerina Kavoura, Nikolaos Sabatakakis
Article
Engineering, Marine
Vasileios Boumboulis, Dionysios Apostolopoulos, Nikolaos Depountis, Konstantinos Nikolakopoulos
Summary: This study aims to present a new weighted Coastal Vulnerability Index (CVIWF) focusing on geotechnical evaluation and shoreline evolution rate, deemed as significant variables in CVI calculations. The application of the new CVIWF in the Gulf of Patras in Western Greece reveals varying degrees of vulnerability along the shoreline. By utilizing innovative approaches, the research shows a more comprehensive understanding of coastal vulnerability distribution in the study area.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Environmental Studies
Aikaterini Servou, Nikolaos Vagenas, Nikolaos Depountis, Zafeiria Roumelioti, Efthimios Sokos, Nikolaos Sabatakakis
Summary: In this paper, the rockfall susceptibility of three different limestone rock sequences in Lefkada island, Greece, was examined under aseismic and seismic conditions. Through field measurements and engineering geological surveys, a rockfall inventory was prepared. Two-dimensional rockfall simulations were performed, and spatial distribution maps of the intensity were generated, showing significant variation among the rock masses due to their inherent engineering geological characteristics.
Article
Engineering, Marine
Nikolaos Depountis, Dionysios Apostolopoulos, Vasileios Boumpoulis, Dimitris Christodoulou, Athanassios Dimas, Elias Fakiris, Georgios Leftheriotis, Alexandros Menegatos, Konstantinos Nikolakopoulos, George Papatheodorou, Nikolaos Sabatakakis
Summary: The primary objective of this research is to demonstrate advanced surveying methods and techniques for coastal erosion identification and monitoring in a densely human-populated coastline. Its importance lies in the fact that it presents a robust methodology on how all modern scientific knowledge and techniques should be used in coastal erosion problems.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Environmental Sciences
D. Mitrakos, V. Kontogianni, K. Kavoura, E. Carinou, N. Kallithrakas-Kontos, C. Housiadas
Summary: This paper presents the approach, assumptions, and computational analysis of the preliminary safety assessment for the disposal of radioactive waste in Greece. The assessment was part of the National Program for waste disposal and focused on potential scenarios such as leaching of radionuclides and intrusion in the facility. Uncertainty analysis was conducted to account for the significant uncertainties in the current phase. The results indicate that Ra-226 is the most important contribution to dose, followed by other radionuclides such as Th-232, Cl-36, C-14, Ag-108m, and Pu-239.
JOURNAL OF ENVIRONMENTAL RADIOACTIVITY
(2023)
Article
Environmental Studies
Maria Michalopoulou, Nikolaos Depountis, Konstantinos Nikolakopoulos, Vasileios Boumpoulis
Summary: This study examines the impact of topographic data from various sources on soil erosion modelling, finding that 5m resolution DEM has the best vertical accuracy for such modeling. It is crucial to use an LS equation with thresholds to avoid overestimation in soil loss calculations.
Article
Environmental Studies
Sofia Anagnostopoulou, Nikolaos Depountis, Nikolaos Sabatakakis, Panagiotis Pelekis
Summary: This study investigates the slope stability of highly weathered and tectonically decomposed flysch using laboratory testing. The results show that the effective angle of friction in the flysch material decreases with increasing water content, and dense specimens display curved failure envelopes under dry conditions.
Article
Environmental Studies
Spyridon Lainas, Nikolaos Depountis, Nikolaos Sabatakakis
Summary: A new methodology for forecasting shallow landslides in wildfire burned areas is proposed by estimating the annual probability of rainfall threshold exceedance based on geological fieldwork and statistical analyses. The study concludes that the annual exceedance probability of rainfall-induced landslides in burned areas is higher when cumulative rainfall duration ranges from 6 to 9 days, with local differences due to geological conditions and landscape characteristics.
Proceedings Paper
Environmental Sciences
Dionysios Apostolopoulos, Konstantinos G. Nikolakopoulos, Vassilios Boumpoulis, Nikolaos Depountis
EARTH RESOURCES AND ENVIRONMENTAL REMOTE SENSING/GIS APPLICATIONS XI
(2020)
Proceedings Paper
Environmental Sciences
Konstantinos G. Nikolakopoulos, Dinitris Konstantinopoulos, Nikolaos Depountis, Katerina Kavoura, Nikolaos Sabatakakis, Elias Fakiris, Dimitris Christodoulou, George Papatheodorou
EARTH RESOURCES AND ENVIRONMENTAL REMOTE SENSING/GIS APPLICATIONS X
(2019)
