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Assessment of Vulnerability to Natural Hazards

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Hazards and Sustainability".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 1978

Special Issue Editor

Department of Civil Engineering, National Central University, Jhongli, Taoyuan 32001, Taiwan
Interests: geotechnical engineering; geotechnical reliability and risk assessment; geotechnical earthquake engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Natural hazards such as earthquakes, typhoons, and landslides cause a great deal of damage to human society. Therefore, the study of natural hazards is critical for the sustainable development of society. However, due to natural randomness and our imperfect understanding of the recurrence mechanisms of natural hazards, it is difficult to perfectly predict the occurrence and magnitude of natural hazards in a deterministic manner. Therefore, new probabilistic approaches have been proposed for estimating the occurrence probability of natural hazards within a particular time window. Along with the plausible consequences caused by the natural hazards, decision makers can calculate the risk as the product of occurrence probability and consequence, and make scientific decisions by lowering the risk caused by the natural hazards.      

As a result, the scope of this Special Issue of Sustainability titled “Assessing Vulnerability to Natural Hazards” will include: 1) methods for predicting natural hazards occurrence and for estimating the occurrence probability; 2) approaches characterizing the impact and consequence of natural hazards; 3) case studies of natural hazards and their impact on society; and 4) methods for natural hazards risk assessment and mitigation. Other topics related to natural hazards are also welcome for submission to this Special Issue of Sustainability.

Dr. Juipin Wang
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. Sustainability 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 2400 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

  • natural hazards
  • occurrence probability and consequence
  • risk assessment
  • case studies

Published Papers (1 paper)

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Research

17 pages, 28454 KiB  
Article
A Landslide Susceptibility Evaluation of Highway Disasters Based on the Frequency Ratio Coupling Model
by Huadan Fan, Yuefeng Lu, Yulong Hu, Jun Fang, Chengzhe Lv, Changqing Xu, Xinyi Feng and Yanru Liu
Sustainability 2022, 14(13), 7740; https://0-doi-org.brum.beds.ac.uk/10.3390/su14137740 - 24 Jun 2022
Cited by 23 | Viewed by 1527
Abstract
A landslide disaster, especially a highway landslide, may greatly impact the transport capacity of nearby roads. Keeping highways open, in particular, is crucial for supporting the functioning of the economy, society and people. Therefore, evaluating the highway landslide susceptibility is particularly important. In [...] Read more.
A landslide disaster, especially a highway landslide, may greatly impact the transport capacity of nearby roads. Keeping highways open, in particular, is crucial for supporting the functioning of the economy, society and people. Therefore, evaluating the highway landslide susceptibility is particularly important. In this paper, the city of Laibin, in the Guangxi Zhuang Autonomous Region of China, was taken as the study zone. According to data on 641 highway landslide disaster points measured in the field and a basic evaluation of the study area, nine evaluation factors—the elevation, slope, aspect, height difference, plan curve, profile curve, precipitation, Topographic Wetness Index (TWI) and vegetation coverage—were selected. We coupled a Frequency Ratio (FR) model, Analytic Hierarchy Process (AHP), Logistic Regression (LR), Back Propagation Neural Network (BPNN) and Support Vector Machine (SVM) to evaluate the susceptibility to highway landslides, with a Receiver Operating Characteristic (ROC) curve used to analyze the precision of these models. The ROC curve showed that the accuracy of the five models was greater than 0.700 and thus had a certain reliability. Among them, the FR-LR model had the highest accuracy, at 0.804. The study protocol presented here can therefore provide a reference for evaluation studies on landslide susceptibility in other areas. Full article
(This article belongs to the Special Issue Assessment of Vulnerability to Natural Hazards)
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