Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
2.6
2.3
Journals
GeoHazards
Special Issues
Multi-Hazard Risk Assessment: Frameworks, Tools, and Case Studies
share announcement

Multi-Hazard Risk Assessment: Frameworks, Tools, and Case Studies

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

Deadline for manuscript submissions: 30 April 2027 | Viewed by 290

Editors

Dr. Ye Li

E-Mail Website
Guest Editor
School of Public Administration, China University of Geosciences, Wuhan 430074, China
Interests: risk assessment and management of geological hazards and multi-hazard; geological hazard monitoring and early warning technologies
Prof. Dr. Kunlong Yin

E-Mail Website
Guest Editor
Faculty of Engineering, China University of Geosciences, Wuhan 430074, China
Interests: early warning and risk management of landslide hazards
Special Issues, Collections and Topics in MDPI journals
Dr. Qin Chen

E-Mail Website
Guest Editor
School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan 430074, China
Interests: risk assessment of landslide disaster; vulnerability of buildings to slow-moving landslides and rockfall disasters; meteorological

Special Issue Information

Dear Colleagues,

Geohazards often impact temporal and spatial scales, generating systemic risks whose losses can far exceed those of individual events. Despite growing recognition of these challenges, conventional single-hazard risk assessment approaches remain inadequate for capturing the complex interactions, feedback mechanisms, and systemic risks inherent in multi-hazard situations. Addressing these gaps requires unraveling cascading mechanisms, and developing integrated assessment frameworks and innovative analytical tools. To formulate strategies that explicitly account for interconnected risks, insights from empirical case studies are needed to support more anticipatory and resilient decision-making in risk mitigation and management.

This Special Issue, entitled “Multi-Hazard Risk Assessment: Frameworks, Tools, and Case Studies”, aims to advance both methodological development and practical applications in multi-hazard risk assessment under accelerating environmental change, extreme climate events, and growing socio-economic complexity. We welcome submissions of original research articles and comprehensive review papers on topics including, but not limited to: 

  • Cascading processes and mechanisms of hazard interaction;
  • Risk identification and susceptibility assessment;
  • Hazard assessment in multi-hazard environments;
  • Exposure, vulnerability, and resilience;
  • Frameworks for multi-hazard risk assessment;
  • Analytical tools, models, and digital platforms;
  • Impacts of climate change on multi-hazard dynamics;
  • Risk governance and stakeholder engagement. 

We particularly encourage case studies at local, regional, and global scales, especially those adopting interdisciplinary perspectives and offering practical implications for geohazard risk mitigation, climate adaptation, and sustainable development. 

We look forward to receiving your contributions.

Dr. Ye Li
Prof. Dr. Kunlong Yin
Dr. Qin Chen
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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized 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 semimonthly 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 1400 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

  • multi-hazard
  • cascading geohazard mechanisms
  • systemic risk
  • hazard assessment
  • vulnerability and resilience
  • risk assessment

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

23 pages, 35440 KB  
Article
When Land Use/Land Cover Misleads: Limitations in Data-Driven Flood and Landslide Susceptibility Assessment
by Sara Guerra Fardin, José Luís Zêzere, Tatiana Sussel Gonçalves Mendes and Silvio Jorge Coelho Simões
GeoHazards 2026, 7(3), 94; https://doi.org/10.3390/geohazards7030094 - 4 Aug 2026
Abstract
Data-driven models are increasingly used for flood and landslide susceptibility mapping in rapidly urbanizing regions, particularly in the Global South. In this context, land use and land cover (LULC) is routinely adopted as a conditioning factor, although its geomorphological meaning and temporal consistency [...] Read more.
Data-driven models are increasingly used for flood and landslide susceptibility mapping in rapidly urbanizing regions, particularly in the Global South. In this context, land use and land cover (LULC) is routinely adopted as a conditioning factor, although its geomorphological meaning and temporal consistency with hazard inventories are seldom evaluated. Information Value (IV) models have been widely applied to landslide susceptibility, but their use for flood susceptibility in complex coastal cities remains limited. This study evaluates IV-based flood and landslide susceptibility in Vitória, Brazil, a predominantly insular city characterized by sharp geomorphological contrasts and high population density. Two LULC datasets with different levels of urban detail were tested as conditioning factors alongside topographic and hydrological variables. Eighteen models were constructed for each hazard and validated using Area Under the Curve (AUC) metrics and expert judgement. Morphological attributes were the most important predictors: slope alone achieved an AUC of 0.90 for landslides, whereas elevation reached 0.71 for floods. The inclusion of LULC increased AUC values to 0.94–0.95 for landslides and 0.85–0.89 for floods, but also introduced spatial and temporal biases associated with stationary and coarsely classified land cover. Our findings highlight the limitations of incorporating LULC as a conditioning factor without temporal harmonization with hazard inventories or adequate urban class disaggregation. We argue that, in complex urban settings, LULC is more appropriately interpreted as a proxy for exposure and vulnerability than as a dominant predisposing factor, and that its use in predictive models should be critically assessed to avoid misleading conclusions. Full article
(This article belongs to the Special Issue Multi-Hazard Risk Assessment: Frameworks, Tools, and Case Studies)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop