Natural Hazards in Central and Eastern Europe: The Role of Climate Change

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

Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 1849

Special Issue Editors


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Guest Editor
Department of Geoinformatics, Physical and Environmental Geography, University of Szeged, Egyetem u. 2-6., 6722 Szeged, Hungary
Interests: geochronology; geomorphology; quaternary research; climate change; natural hazards
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Guest Editor
Department of Geography, Ludwig-Maximilians-Universität München (LMU), 80333 Munich, Germany
Interests: climate change; land use change; hydrology; water resources management; spatial environmental modeling; multi-sensor remote sensing
Special Issues, Collections and Topics in MDPI journals

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Guest Editor

E-Mail Website
Guest Editor
Department of Physical Geography and Geoinformatics,The University of Szeged, Szeged, Hungary
Interests: landscape ecology; physical geography

Special Issue Information

Dear Colleagues,

This Special Issue aims to focus on the interconnected drivers of natural hazards, with a major emphasis on climate change. The area of interest is Central and Eastern Europe, where several natural hazards, e.g., drought, flash floods, erosion events, excess inundations, mass movements, and the spread of invasive species and diseases, mean an increasing challenge for different stakeholders. Accordingly, the scientific assessment of the past, present, and future frequency, magnitude, and mechanism of natural hazards is indispensable for developing successful management and mitigation strategies. Moreover, these studies can also contribute to the preparedness of local societies. Their resilience and adaptation capacity are important problems, especially in the eastern and southern areas of the targeted region, as well as the related risks.

In summary, this Special Issue of Geosciences will present a comprehensive overview of the key types of natural hazards in the region of Central and Eastern Europe, the effect of climate change on their occurrence and magnitude, and the latest techniques that can be used for their assessment.

The topics of this issue include:

  • floods
  • flash floods
  • water surplus-related hazards
  • drought
  • water shortage
  • mass movements and other geomorphological hazards
  • extreme weather events and related hazards
  • changing runoff and soil erosion
  • hazards related to invasive species
  • climate change-related environmental stressors on human health
  • and technical developments in monitoring and modeling natural hazards.

Dr. György Sipos
Prof. Dr. Ralf Ludwig
Prof. Dr. Slobodan B. Marković
Prof. Dr. Gábor Mezősi
Guest Editors

Manuscript Submission Information

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Keywords

  • climate change
  • flood
  • drought
  • geomorphological hazards
  • extreme weather events
  • soil erosion
  • invasive species
  • human health
  • monitoring
  • modelling

Published Papers (1 paper)

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Research

18 pages, 4876 KiB  
Article
Flood-Prone Zones of Meandering Rivers: Machine Learning Approach and Considering the Role of Morphology (Kashkan River, Western Iran)
by Kaveh Ghahraman, Balázs Nagy and Fatemeh Nooshin Nokhandan
Geosciences 2023, 13(9), 267; https://doi.org/10.3390/geosciences13090267 - 03 Sep 2023
Viewed by 1430
Abstract
We utilized the random forest (RF) machine learning algorithm, along with nine topographical/morphological factors, namely aspect, slope, geomorphons, plan curvature, profile curvature, terrain roughness index, surface texture, topographic wetness index (TWI), and elevation. Our objective was to identify flood-prone areas along the meandering [...] Read more.
We utilized the random forest (RF) machine learning algorithm, along with nine topographical/morphological factors, namely aspect, slope, geomorphons, plan curvature, profile curvature, terrain roughness index, surface texture, topographic wetness index (TWI), and elevation. Our objective was to identify flood-prone areas along the meandering Kashkan River and investigate the role of topography in riverbank inundation. To validate the flood susceptibility map generated by the random forest algorithm, we employed Sentinel-1 GRDH SAR imagery from the March 2019 flooding event in the Kashkan river. The SNAP software and the OTSU thresholding method were utilized to extract the flooded/inundated areas from the SAR imagery. The results showed that the random forest model accurately pinpointed areas with a “very high” and “high” risk of flooding. Through analysis of the cross-sections and SAR-based flood maps, we discovered that the topographical confinement of the meander played a crucial role in the extent of inundation along the meandering path. Moreover, the findings indicated that the inner banks along the Kashkan river were more prone to flooding compared to the outer banks. Full article
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