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Special Issue "New Directions in Hazard and Disaster Science: Advances in Applied Sciences"
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Environmental and Sustainable Science and Technology".
Deadline for manuscript submissions: 30 April 2020.
Disaster Preparedness and Emergency Management, University of Hawaii, Kapolei, HI 96707, USA
Interests: disaster risk governance; sustainable hazard mitigation; emergency management decision making; natural–technologic (na-tech) crises; health-related emergencies; fluvial and marine disasters; global climate change
Hazards, risk and disasters—including geologic and hydrological processes, intentional threats, and health-related crises—are a growing menace to sustainability, economic development, and global security. For example, there are a wide variety of natural hazards (volcanic eruptions, earthquakes, landslides, mudflows, sinkholes, snow avalanches, flooding, and tsunamis) that pose a critical threat to pivotal infrastructure systems and life safety. Every year, terrorist attacks, severe natural events, and epidemics damage cause injuries and deaths on a large scale. Advances in hazard and disaster science and management are needed to cope with potentially hazardous human threats as well as geoprocesses.
This Special Issue examines a new set of applied science tools in the Big Data era that that can help to reduce the impact of these natural, technologic, intentional, and health-related threats. There are advances in applied sciences that can directly reduce the likelihood, impact, and vulnerability of communities to disaster: remote sensing; electrical, electronics, and communications engineering; nanotechnology and applied nanosciences; mechanical and civil engineering; applied biosciences and bioengineering; environmental and sustainable science and technology; applied physics; computing and artificial intelligence; earth sciences and geography; and applied industrial technologies. For example, new approaches in data science and machine learning capitalize on the ubiquity of risk and hazard data sets, as well as advances in remote sensing, global position systems, and GIS. These solutions also provide new opportunities for the analysis and management of all types of disaster risks.
Prof. Dr. Jason K. Levy
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 papers will be 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. Applied Sciences 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 1500 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.
- Applied industrial technologies for managing natural hazards
- Environmental and sustainable science and technology and disaster prevention
- Technologic risks and critical infrastructure protection
- Systems engineering for disaster risk reduction
- Geohazards analysis with earth sciences and geography