Unmanned Aircraft Systems (UAS): Applications and Integration into Hazard Mitigation Planning

IF 0.7 4区 管理学 Q4 PUBLIC ADMINISTRATION
C. Lawson, Karthik Soundara Rajan
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引用次数: 0

Abstract

Abstract Unmanned Aircraft Systems (UAS) (also referred to as Unmanned Aerial Systems (UAS), Unmanned Autonomous Vehicles (UAVs), or drones) operations, focused on natural hazards, have experienced rapid expansion in the last decade. UAS uses before, during, and after natural hazard events, provide value for emergency management operations (e.g. Search-and-Rescue (SAR)), and post-event analytics. The Department of Homeland Security and Emergency Services (DHSES) manages UAS programs for public safety and emergency response activities in New York State. They also have the first FEMA-approved, locally adopted, web-based, interactive Hazard Mitigation Plans (HMPs). With recent advances in communication technologies (e.g. 5G), opportunities are emerging to establish a stewardship role to maximize regionwide UAS operations, including preparing for catastrophic natural hazards (e.g. earthquakes, hurricanes), leveraging existing HMPs, and incorporating new machine-learning techniques to use swarming networks before, during, and after a natural hazard event. A variety of stewardship approaches are discussed.
无人机系统(UAS):应用和集成到危害缓解规划
无人驾驶飞机系统(UAS)(也称为无人机系统(UAS),无人驾驶自主车辆(uav)或无人机)运营,重点是自然灾害,在过去十年中经历了快速扩张。在自然灾害事件发生之前、期间和之后,无人机系统的使用为应急管理行动(例如搜救)和事件后分析提供了价值。国土安全和应急服务部(DHSES)负责管理纽约州公共安全和应急响应活动的无人机系统项目。他们也有第一个经联邦应急管理局批准的、当地采用的、基于网络的、互动的危害缓解计划(hmp)。随着通信技术(如5G)的最新进步,建立管理角色以最大限度地发挥区域无人机系统运营的机会正在出现,包括为灾难性自然灾害(如地震、飓风)做好准备,利用现有的hmp,并结合新的机器学习技术在自然灾害事件发生之前、期间和之后使用蜂群网络。讨论了各种管理方法。
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来源期刊
CiteScore
8.80
自引率
12.50%
发文量
11
期刊介绍: The Journal of Homeland Security and Emergency Management publishes original, innovative, and timely articles describing research or practice in the fields of homeland security and emergency management. JHSEM publishes not only peer-reviewed articles, but also news and communiqués from researchers and practitioners, and book/media reviews. Content comes from a broad array of authors representing many professions, including emergency management, engineering, political science and policy, decision science, and health and medicine, as well as from emergency management and homeland security practitioners.
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