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GeoHazards
Special Issues
Landslide Research: State of the Art and Innovations
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Landslide Research: State of the Art and Innovations

A special issue of GeoHazards (ISSN 2624-795X).

Deadline for manuscript submissions: 15 February 2025 | Viewed by 1729

Special Issue Editor

Dr. Davide Tiranti

E-Mail Website
Guest Editor
Department of Natural and Environmental Risks, Regional Agency for Environmental Protection of Piemonte (ARPA Piemonte), Torino 10135, Italy
Interests: landslide; debris flow; natural hazard; geohazard
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Landslides have always been one of the most harmful geological hazards in terms of human lives and economic loss worldwide.

Landslides can develop in both continental and underwater environments characterized by the presence of slopes with devastating consequences on structures, infrastructure, economic activities and communities. They can also occur in flat or sub-flat areas as sink holes, a particularly insidious phenomena in densely urbanized areas.

For this reason, landslide research is a priority and requires a wide range of knowledge and expertise to describe them, characterize them and address the related risk prevention and mitigation aspects due to the wide variety of phenomena in terms of typology and triggering conditions.

The purpose of this Special Issue is to collect and group together quality scientific papers on these research fields and derived practical/operational applications.

The topics related to the Special Issue therefore concern the innovative methodologies to achieve landslides identification, classification, characterization and hazard/risk evaluation through geomorphological field survey and studies, remote sensing applications, GIS data mapping, processing and representation, the analysis of predisposing and triggering factors, landslide early warning systems implementation and the impact of current and future climate change scenarios on the evolution of these phenomena.

Dr. Davide Tiranti
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. GeoHazards is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • landslide geomorphology
  • landslide detection
  • landslide inventory
  • landslide susceptibility
  • landslide hazard estimation
  • landslide early warning system
  • landslides in a changing climate
  • landslide risk assessment
  • landslides in GIS environment

Published Papers (3 papers)

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Research

31 pages, 16453 KiB  
Article
Alpine Catchments’ Hazard Related to Subaerial Sediment Gravity Flows Estimated on Dominant Lithology and Outcropping Bedrock Percentage
by Davide Tiranti
GeoHazards 2024, 5(3), 652-682; https://doi.org/10.3390/geohazards5030034 - 5 Jul 2024
Viewed by 410
Abstract
Sediment gravity flows (SGFs) cause serious damage in the Alpine regions. In the literature, several methodologies have been elaborated to define the main features of these phenomena, mainly considering the rheological features of the flow processes by laboratory experiments or by flow simulation [...] Read more.
Sediment gravity flows (SGFs) cause serious damage in the Alpine regions. In the literature, several methodologies have been elaborated to define the main features of these phenomena, mainly considering the rheological features of the flow processes by laboratory experiments or by flow simulation using 2D or 3D propagation models or considering a single aspect, such as the morphometric parameters of catchments in which SGFs occur. These very targeted approaches are primarily linked to the definition of SGFs’ propagation behavior or to identify the predisposing role played by just one feature of catchments neglecting other complementary aspects regarding phenomena and the environment in which SGFs can occur. Although the research aimed at the quantification of some parameters that drive the behavior of SGFs provides good results in understanding the flow mechanisms, it does not provide an exhaustive understanding of the overall nature of these phenomena, including their trigger conditions and a complete view of predisposing factors that contribute to their generation. This paper presents a research work based on the collection and cross-analysis of lithological, geomechanical, geomorphological and morphometrical characteristics of Alpine catchments compared with sedimentological and morphological features of SGF deposits, also taking in to account the rainfall data correlation with historical SGF events. A multidisciplinary approach was implemented, aiming at quantifying SGF causes and characteristics starting from the catchments’ features where the phenomena originate in a more exhaustive way. The study used 78 well-documented catchments of Susa Valley (Western Italian Alps), having 614 historical flow events reported, that present a great variability in geomorphological and geological features. As the main result, three catchment groups were recognized based on the dominant catchment bedrock’s lithology characteristics that influence the SGFs’ rheology, sedimentological and depositional features, triggering rainfall values, seasonality, occurrence frequency and alluvial fan architecture. The classification method was also compared with the catchments’ morphometry classification, demonstrating that the fundamental role in determining the type of flow process that can most likely occur in a given catchment is played by the bedrock outcropping percentage, regardless of the results provided by the morphometric approach. The analysis of SGF events through the proposed method led to a relative estimate of the hazard degree of these phenomena distinguished by catchment type. Full article
(This article belongs to the Special Issue Landslide Research: State of the Art and Innovations)
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18 pages, 6862 KiB  
Article
Addressing the Effect of Intra-Seasonal Variations in Developing Rainfall Thresholds for Landslides: An Antecedent Rainfall-Based Approach
by Chakrapani Lekha Vishnu, Thomas Oommen, Snehamoy Chatterjee and Kochappi Sathyan Sajinkumar
GeoHazards 2024, 5(3), 634-651; https://doi.org/10.3390/geohazards5030033 - 3 Jul 2024
Viewed by 394
Abstract
We developed a rainfall threshold model with the objective of limiting the effects of uncertainties typically associated with them, such as a lack of robust landslide database, the selection of the contributing rain gauge, seasonal variations in rainfall patterns, and the effect of [...] Read more.
We developed a rainfall threshold model with the objective of limiting the effects of uncertainties typically associated with them, such as a lack of robust landslide database, the selection of the contributing rain gauge, seasonal variations in rainfall patterns, and the effect of extreme rainfall conditions. With the aid of gauge-corrected satellite precipitation data and a landslide database compiled from various sources, separate rainfall thresholds were developed for two waves of the monsoon season in the Western Ghats, India. The daily vs. antecedent rainfall distributions for different scenarios of antecedent rainfall were analyzed for landslide occurrence. The different scenarios considered included 1, 2, 3, 5, 10-, 20-, 30- and 40-day antecedent rainfalls along with the monsoon antecedent defined as the cumulative rainfall from the start of the monsoon to the day prior to landslide occurrence, and the event antecedent defined as the cumulative rainfall from the start of a rainfall event to the day prior to landslide occurrence. A statistically defined critical value was used to define the thresholds for extreme rainfall conditions, while ordinary least squares and quantile regression models were compared to identify the best-fit model for the non-extreme rainfall threshold. Receiver Operating Characteristic (ROC) analysis was performed on all these models and the best model was chosen based on the efficiency values. The daily vs. monsoon antecedent threshold was the best model for the first monsoon wave, and the daily vs. event antecedent model was the best model for the second monsoon wave. A separate rainfall threshold was defined for the entire monsoon without subdivision into separate waves, and corresponding ROC statistics were compared with the former approach to analyze the efficacy of intra-seasonal variations in rainfall threshold development. The results suggest that cumulative rainfall makes a significant contribution towards landslide initiation and that intra-seasonal variations should be necessarily considered in rainfall threshold modeling. Full article
(This article belongs to the Special Issue Landslide Research: State of the Art and Innovations)
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13 pages, 9783 KiB  
Article
A Virtual Reality Simulation of a Real Landslide for Education and Training: Case of Chiradzulu, Malawi, 2023 Landslide
by Ali Asgary, Ali Hassan and Tricia Corrin
GeoHazards 2024, 5(3), 621-633; https://doi.org/10.3390/geohazards5030032 - 3 Jul 2024
Viewed by 347
Abstract
Virtual reality (VR) is a promising new educational and training tool in the field of disaster and emergency management, especially for hazards that are not frequent or well known to the public and require spatial and situational understanding. The objective of this paper [...] Read more.
Virtual reality (VR) is a promising new educational and training tool in the field of disaster and emergency management, especially for hazards that are not frequent or well known to the public and require spatial and situational understanding. The objective of this paper is to describe an educational VR simulation that was developed based on a landslide that really occurred in Southern Malawi during the March 2023 Cyclone Freddy. The cyclone induced several landslides that caused many casualties and significant damage. The VR simulation framework consisted of four critical steps using Unity3D for the creation of the simulation including data preparation, terrain and environmental modeling, landslide simulation development, and virtual reality interactions. The simulation scenarios were diversified to include three distinct landscapes that can help users learn how factors such as terrain can influence landslide impacts. The VR simulation offers users an intimate, firsthand experience of the landslide’s unfolding and allows users the ability to explore various facets of the landslide phenomena. This VR simulation aims to provide an educational tool to facilitate an in-depth understanding of and interaction with a real-word landslide to learn about the impacts of landslides and how different factors can influence these impacts. Full article
(This article belongs to the Special Issue Landslide Research: State of the Art and Innovations)
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