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Geosciences
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Editorial Board Members' Collection Series: Natural Hazards
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Editorial Board Members' Collection Series: Natural Hazards

A special issue of Geosciences (ISSN 2076-3263). This special issue belongs to the section "Natural Hazards".

Deadline for manuscript submissions: 30 September 2025 | Viewed by 1771

Special Issue Editors

Prof. Dr. Dimitrios Nikolopoulos

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Guest Editor
Department of Industrial Design and Production Engineering, University of West Attica, Petrou Ralli & Thivon 250, GR-122 44 Aigaleo, Greece
Interests: radon; radon progeny; radon in soil; kHz-MHz electromagnetic radiation; fractal analysis; fractal dimension; long memory; Hurst exponent; DFA; symbolic dynamics; R/S analysis; entropy; Tsallis entropy; earthquakes; pre-seismic precursors; ionizing radiation physics; radiation dosimetry; radiation exposure; radiation protection; X-rays
Special Issues, Collections and Topics in MDPI journals
Dr. Samuele Segoni

E-Mail Website
Guest Editor
Department of Earth Sciences, University of Firenze, Via La Pira, 4, I-50121 Firenze, Italy
Interests: prediction and mapping of landslide hazards; physically based models for the triggering of shallow landslides; landslide susceptibility maps; rainfall thresholds for landslide triggering; regional-scale landslide early warning systems; civil protection; land planning; landslide risk assessment
Special Issues, Collections and Topics in MDPI journals
Dr. Xingsen Guo

E-Mail Website
Guest Editor
Department of Civil, Environmental and Geomatic Engineering, University College London (UCL), London, UK
Interests: marine engineering geology and geotechnical engineering; marine geological hazards; computational fluid dynamics into turbidity currents and deep-sea mining plumes
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Dr. Danilo Godone

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Guest Editor
Geohazard Monitoring Group, Research Institute for Hydrogeological Prevention and Protection, National Research Council, 10135 Turin, Italy
Interests: natural hazards; monitoring; geomatics; remote sensing; glaciers; cryosphere
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Dr. Giovanna Vessia

E-Mail Website
Guest Editor
Department of Engineering and Geology (InGeo), Università degli Studi G. d'Annunzio Chieti e Pescara, Pescara, Italy
Interests: seismic microzonation; empirical rainfall threshold applied to shallow landslides; geostatistical methods applied to hazard mapping and geotechnical subsoil characterization; stability numerical analyses of rock cavities
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Dr. Leonhard Blesius

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Guest Editor
Department of Geography & Environment, San Francisco State University, 1600 Holloway Avenue, HSS Bldg, Room 283, San Francisco, CA 94132, USA
Interests: environmental systems analysis; fluvial geomorphology; natural hazard; landslides
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues, 

Natural hazards such as earthquakes, landslides, volcanic eruptions, floods, droughts, and storms continue to pose significant challenges to both human societies and natural ecosystems. These hazards, whether abrupt or evolving over time, present complex challenges that require interdisciplinary approaches to understand, predict, and manage their impacts.

This collection aims to gather a diverse range of studies related to geological, environmental, hydro-meteorological, oceanographic, climatological, and biological hazards, as well as those that develop gradually or emerge suddenly. Research that focuses on modeling and forecasting natural hazards, as well as cross-disciplinary approaches addressing hazard assessment, mitigation strategies, emergency response, and post-disaster recovery, are particularly welcome.

We welcome contributions from researchers worldwide, with a focus on ground-based investigations, in situ instrumentation, remote sensing techniques, and innovative methodologies. We look forward to receiving high-quality submissions and engaging with research that makes a real impact.

Prof. Dr. Dimitrios Nikolopoulos
Dr. Samuele Segoni
Dr. Xingsen Guo
Dr. Danilo Godone
Dr. Giovanna Vessia
Dr. Leonhard Blesius
Guest Editors

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. Geosciences is an international peer-reviewed open access monthly 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 1800 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

  • hazard assessment
  • risk mitigation
  • emergency response
  • forecasting techniques
  • post-disaster recovery
  • in situ instrumentation
  • remote sensing
  • hazard modeling
  • geological hazards
  • environmental hazards
  • resilience strategies

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Published Papers (4 papers)

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Research

15 pages, 14363 KiB  
Article
Sedimentary Diversity of Tsunami Deposits in a River Channel Associated with the 2024 Noto Peninsula Earthquake, Central Japan
by Rina Okada, Koji Umeda, Keigo Motegi, Takanobu Kamataki and Tadashi Amano
Geosciences 2025, 15(4), 153; https://doi.org/10.3390/geosciences15040153 - 17 Apr 2025
Viewed by 173
Abstract
A comprehensive analysis of modern tsunami deposits offers a valuable opportunity to elucidate the characteristics of paleo-tsunami deposits. On 1 January 2024, a tsunami was generated by a magnitude 7.6 seismic event and subsequently struck the Noto Peninsula in central Japan. In order [...] Read more.
A comprehensive analysis of modern tsunami deposits offers a valuable opportunity to elucidate the characteristics of paleo-tsunami deposits. On 1 January 2024, a tsunami was generated by a magnitude 7.6 seismic event and subsequently struck the Noto Peninsula in central Japan. In order to create a facies model of the tsunami deposits in terrestrial and riverine environments, field surveys were conducted on both the onshore and sandbars within the river channel in the Nunoura area on the northeastern Noto Peninsula. Terrestrial tsunami deposits were observed up to several hundred meters inland, with a slight decrease in thickness of several centimeters with distance from the shoreline. In terrestrial settings, the presence of a substantial silty layer overlying a graded sandy layer is indicative of ponded stagnant water from the tsunami wave. In contrast, riverine tsunami deposits are thicker and more extensive than terrestrial sediments, containing both gravels and shell fragments. An erosional surface develops between deposits of run-up and backwash flows, but a mud drape is not observed. Full article
(This article belongs to the Special Issue Editorial Board Members' Collection Series: Natural Hazards)
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18 pages, 1727 KiB  
Article
Comparison of Backprojection Techniques for Rupture Propagation Modelling of the Mw = 7.8 Mainshock Earthquake near Kahramanmaras and the Mw = 7.5 Second-Largest Mainshock near Elbistan, Turkey, 2023
by Dimitrios Nikolopoulos, Mahmood Sultan, Aftab Alam, Demetrios Cantzos, Georgios Priniotakis, Michail Papoutsidakis, Farhan Javed, Georgios Prezerakos, Jamil Siddique, Muhammad Ali Shah, Muhammad Rafique and Panayiotis Yannakopoulos
Geosciences 2025, 15(4), 146; https://doi.org/10.3390/geosciences15040146 - 14 Apr 2025
Viewed by 259
Abstract
This paper utilises teleseismic Z-component data to investigate rupture propagation, extent, and velocity for two very destructive earthquakes in the East Anatolian Fault Zone (EAFZ): the Mw = 7.8 earthquake near Kahramanmaras and the largest (Mw = 7.5 s) aftershock [...] Read more.
This paper utilises teleseismic Z-component data to investigate rupture propagation, extent, and velocity for two very destructive earthquakes in the East Anatolian Fault Zone (EAFZ): the Mw = 7.8 earthquake near Kahramanmaras and the largest (Mw = 7.5 s) aftershock at Elbistan (both on 6 February 2023). The extent of the rupture is modelled with beamforming and multichannel signal classification. The teleseismic data are derived from agencies in USA and Canada. The rupture of the Mw = 7.8 earthquake is found to be bi-directional towards the northeast and southwest. Three rupture segments are identified for the Kahramanmaras earthquake between 34.5°–37.5° longitude and 37.0°–37.5° latitude, and another three are identified for the Elbistan earthquake between 36.5°–38.0° longitude and around 38.5° latitude. A total of 299 km is covered in 185 s with rupture velocities between 3.1 km/s and 3.4 km/s. Additionally, the mainshock’s splay and the second-largest aftershock’s rupture are also bidirectional, covering 150 km within 46 s. Five velocity segments are identified, three for the Kahramanmaras and two for the Elbistan earthquakes. Beamforming is efficient for identifying the velocity segments. The findings provide new insights on the evolution of the spatio-temporal rupture of the EAFZ and may serve as a basis for long-term earthquake hazard planning in the area. Full article
(This article belongs to the Special Issue Editorial Board Members' Collection Series: Natural Hazards)
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10 pages, 248 KiB  
Article
Vibrations of an Elastic Half-Space
by Bogdan Felix Apostol
Geosciences 2025, 15(4), 144; https://doi.org/10.3390/geosciences15040144 - 9 Apr 2025
Viewed by 199
Abstract
We report on the resolution of the vibration problem for a homogeneous and isotropic elastic half-space (the Lamb problem), with application to the seismic tensorial force. We assume a homogeneous and isotropic half-space with a localized force which produces vibrations. The solution is [...] Read more.
We report on the resolution of the vibration problem for a homogeneous and isotropic elastic half-space (the Lamb problem), with application to the seismic tensorial force. We assume a homogeneous and isotropic half-space with a localized force which produces vibrations. The solution is achieved by introducing vector plane-wave functions. Explicit results are given for an isotropic tensorial force and a half-space with free surface. The contribution of the Rayleigh surface waves to vibrations is analyzed in the special case of a temporal-impulse force, where the solution exhibits unphysical features, as expected: it extends over the entire free surface and time domain, with a (scissor-like) double-wall propagating both in the future and the past. Full article
(This article belongs to the Special Issue Editorial Board Members' Collection Series: Natural Hazards)
17 pages, 25358 KiB  
Article
Examining the Influence of Different Inventories on Shallow Landslide Susceptibility Modeling: An Assessment Using Machine Learning and Statistical Approaches
by Helen Cristina Dias, Daniel Hölbling and Carlos Henrique Grohmann
Geosciences 2025, 15(3), 77; https://doi.org/10.3390/geosciences15030077 - 20 Feb 2025
Viewed by 573
Abstract
Shallow landslides are one of the most common natural hazards in Brazil and worldwide. Susceptibility maps are powerful tools to analyze the spatial probability of shallow landslide occurrences. The outputs of susceptibility maps strongly depend on the type of landslide inventory used. The [...] Read more.
Shallow landslides are one of the most common natural hazards in Brazil and worldwide. Susceptibility maps are powerful tools to analyze the spatial probability of shallow landslide occurrences. The outputs of susceptibility maps strongly depend on the type of landslide inventory used. The aim of this study is to examine the influence of different inventories on shallow landslide susceptibility modeling using the different methods LR, SVM, and XGBoost. Three different shallow landslide inventories were compiled following a single extreme rainfall event in the Ribeira Valley, São Paulo, Brazil. The results indicate that inventories generated through different landslide detection methods and imagery produce diverse susceptibility maps, as evidenced by the calculated Cohen’s Kappa coefficient values (0.33–0.79). The agreement among the models varied depending on the specific model: LR exhibited the highest agreement (0.79), whereas SVM (0.36) and XGBoost (0.33) showed lower numbers. Conversely, the accuracy numbers suggest that XGBoost achieved the highest success rate in terms of AUC (85–78%), followed by SVM (82–76%), and LR (80–71%). Inventories obtained through different detection methods, using distinct datasets, can directly influence the susceptibility assessment, leading to varying classifications of the same area. These findings demonstrate the importance of well-established landslide mapping criteria. Full article
(This article belongs to the Special Issue Editorial Board Members' Collection Series: Natural Hazards)
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