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Applied Sciences
Special Issues
UASs Application in Emergency
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UASs Application in Emergency

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: closed (30 December 2023) | Viewed by 1957

Special Issue Editors

Dr. Chiara Casarotti

E-Mail Website
Guest Editor
European Centre for Training and Research in Earthquake Engineering, Via Ferrata 1, 27100 Pavia, Italy
Interests: emergency support; territorial contingency planning; post-disaster technical support; UAV application for emergency support
Dr. Guglielmo Rossi

E-Mail Website
Guest Editor
Centro per la Protezione Civile, Università degli Studi di Firenze, Piazza San Marco 4, 50121 Florence, Italy
Interests: UAS design and development; remote sensing; landslide modelling; emergency support

Special Issue Information

Dear Colleagues,

In the aftermath of a disaster, it is crucial to provide essential and timely information - including the characteristics and impact of the event and level of damage - to first responders and local stakeholders for emergency decision-making and effective post-event response.

On this regard, remote sensing techniques, either satellite and airborne, have been exploited in the last decades to analyze the impact of natural disasters, featuring different and complementary characteristics. Unmanned Aircraft Systems (UASs) represent an effective low-cost solution to provide technical support and are increasingly employed to obtain a detailed overview of the affected areas.

This special issue will be dedicated to the applications of UAS technology in the aftermath of a disaster, to provide technical support to the emergency management and response, in all the related activities when timeliness is crucial, e.g. (but not limited to) search and rescue, debris volume assessment, safety inspection of critical infrastructures, monitoring of critical situation (as well as in the prevention phase).

Key points of discussion will be also the integration of data with complementary technologies as well as the coordination aspects related to NAA authorities authorizations and within the National Civil Protection system.

Dr. Chiara Casarotti
Dr. Guglielmo Rossi
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. 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 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

  • unmanned aerial system
  • UAS
  • UAV
  • emergency
  • civil protection
  • disaster technical support

Published Papers (2 papers)

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Research

19 pages, 11076 KiB  
Article
The Use of UAVs to Obtain Necessary Information for Flooding Studies: The Case Study of Somes River, Floresti, Romania
by Raluca Gâlgău, Sanda Marioara Naș, Virgil Mihai Radulescu, Ioel Samuel Vereș and Mircea Vasile Bondrea
Appl. Sci. 2023, 13(21), 11688; https://doi.org/10.3390/app132111688 - 25 Oct 2023
Viewed by 893
Abstract
Floods are natural disasters that cause damage, loss of life, and economic problems throughout the world. Part of these losses can be minimized with the help of different methodologies and tools used to prepare simulations, analyses, and data monitoring to predict such phenomena [...] Read more.
Floods are natural disasters that cause damage, loss of life, and economic problems throughout the world. Part of these losses can be minimized with the help of different methodologies and tools used to prepare simulations, analyses, and data monitoring to predict such phenomena in time. The metropolitan area of Cluj-Napoca, Romania, is the study area of this paper and it is located in Floresti, the largest rural settlement in Romania. In this area, changes in urbanization, land use, and the expansion of urban areas in a chaotic mode represent a problem. This study focuses on an area prone to flooding due to its proximity to the Somes River. Previous events of this type have caused economic losses that must be considered. This approach combines photogrammetric methods for obtaining data from the field with topographical methods for establishing control points and GIS methods for data processing, modeling, and simulation to obtain the necessary data for flood prevention and intervention. Full article
(This article belongs to the Special Issue UASs Application in Emergency)
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28 pages, 6193 KiB  
Article
Distributed Navigation in Emergency Scenarios: A Case Study on Post-Avalanche Search and Rescue Using Drones
by Salvatore Rosario Bassolillo, Egidio D’Amato, Massimiliano Mattei and Immacolata Notaro
Appl. Sci. 2023, 13(20), 11186; https://doi.org/10.3390/app132011186 - 11 Oct 2023
Cited by 4 | Viewed by 640
Abstract
Unmanned aerial vehicles (UAVs) are increasingly employed in civil applications due to their ease of use and adaptability. This paper proposes a distributed navigation strategy for a formation of UAVs in post-avalanche search-and-rescue (SAR) operations. Formations offer a more efficient approach than single [...] Read more.
Unmanned aerial vehicles (UAVs) are increasingly employed in civil applications due to their ease of use and adaptability. This paper proposes a distributed navigation strategy for a formation of UAVs in post-avalanche search-and-rescue (SAR) operations. Formations offer a more efficient approach than single UAVs in dynamic and complex operational environments. Additionally, they can distribute different sensors, reducing payload and increasing robustness and overall efficiency. The proposed navigation algorithm relies on the Kalman filter (KF) based on consensus to distribute state estimation, and internodal transformation theory to improve system scalability, preserving the dynamic equivalence between the global and local models. The effectiveness of this approach was tested in two realistic scenarios, resulting in the ability to detect victims and maintain situational awareness while avoiding unsearched areas. The proposed approach offers a promising alternative to human-intensive SAR missions. Full article
(This article belongs to the Special Issue UASs Application in Emergency)
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