UAVs as a tool for optimizing boat-supported flood evacuation operations

Date published

2024-10-29

Free to read from

2024-11-15

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Journal Title

Journal ISSN

Volume Title

Publisher

MDPI

Department

Type

Article

ISSN

2504-446X

Format

Citation

Moussa LG, Diaconu R, Watt MS, et al., (2024) UAVs as a tool for optimizing boat-supported flood evacuation operations. Drones, Volume 8, Issue 11, October 2024, Article number 621

Abstract

The frequency and intensity of flood events are increasing year by year as a result of climate change. This poses significant threats to human settlements and adversely affects biodiversity, agriculture, and infrastructure. One of the most prominent and traditional flood evacuation approaches is through the use of boats. Nonetheless, serious challenges exist with respect to determining the optimal deployment locations, routes, and timing. Given research advances in the Unmanned Aerial Vehicles (UAVs) sector—and their ability to offer real-time data and aerial monitoring services—we argue that their applications could help enhance boat-supported flood evacuation operations. In this opinion piece, we explore new opportunities for disaster management and underscore the advantages of integrating UAVs into flood evacuation methodologies, including areas of rapid field assessment, optimal route planning, and improved coordination between rescue boats. Notwithstanding the potential of UAVs, we emphasize several gaps to be explored in terms of large-scale data management/processing, regulatory limitations, and technological know-how. Furthermore, we provide recommendations for bolstering boat deployment protocols, disaster preparedness training programs, policy frameworks, and emergency response systems, which could maximize their efficacy in flood evacuation scenarios.

Description

Software Description

Software Language

Github

Keywords

46 Information and Computing Sciences, 40 Engineering, 40 Engineering, 46 Information and computing sciences, flood rescue services, disaster management, climate change, Unmanned Aerial Vehicles, drones, remote sensing

DOI

Rights

Attribution 4.0 International

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