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一种用于机场鸟击管理的启发式风险评估技术。

A heuristic risk assessment technique for birdstrike management at airports.

作者信息

Allan John

机构信息

Central Science Laboratory, Birdstrike Avoidance Team, Yorkshire, UK.

出版信息

Risk Anal. 2006 Jun;26(3):723-9. doi: 10.1111/j.1539-6924.2006.00776.x.

Abstract

Collisions between birds and aircraft (birdstrikes) have caused the loss of at least 88 aircraft and 243 lives in world civil aviation. Conservative estimates suggest that more routine damage and delays following birdstrikes cost the industry and its insurers US$1.2-1.5 billion per year. The majority of strikes happen close to airports and most countries have regulations that require airport managers to control the birdstrike risk on their property. Birdstrike prevention has, however, lagged behind other aspects of flight safety in the development and implementation of risk assessment protocols, possibly because of the inherent difficulty in quantifying the variability in the populations and behavior of the various bird species involved. This article presents a technique that uses both national and airport-specific data to evaluate risk by creating a simple probability-times-severity matrix. It uses the frequency of strikes reported for different bird species at a given airport over the preceding five years as a measure of strike probability, and the proportion of strikes with each species that result in damage to aircraft, in the national birdstrike database, as a measure of likely severity. Action thresholds for risk levels for particular bird species are then defined, above which the airport should take action to reduce the risk further. The assessment is designed for airports where the reporting and collation of birdstrike events is reasonably consistent over time and where a bird hazard management program of some sort is already in place. This risk assessment is designed to measure risk to the airport as a business rather than risk to the traveling passenger individually. It therefore takes no account of aircraft movement rate in the calculations and is aimed at minimizing the number of damaging incidents rather than concentrating on catastrophic events. Once set up at an airport, the technique is simple to implement for nonexperts, and it allows managers to focus bird control resources on the species causing the greatest risk, hence maximizing the return on investment. This protocol is now being successfully used at major airports in the United Kingdom and elsewhere in the world.

摘要

鸟类与飞机的碰撞(鸟击)已导致全球民航业至少88架飞机坠毁,243人丧生。据保守估计,鸟击造成的更多日常损害和航班延误每年给该行业及其保险公司带来12亿至15亿美元的损失。大多数碰撞发生在机场附近,大多数国家都有相关规定,要求机场管理人员控制其辖区内的鸟击风险。然而,在风险评估方案的制定和实施方面,鸟击预防落后于飞行安全的其他方面,这可能是因为难以量化涉及的各种鸟类种群和行为的变异性。本文介绍了一种技术,该技术利用国家和特定机场的数据,通过创建一个简单的概率-严重程度矩阵来评估风险。它将给定机场前五年报告的不同鸟类的撞击频率作为撞击概率的衡量标准,并将国家鸟击数据库中每种鸟类导致飞机受损的撞击比例作为可能严重程度的衡量标准。然后为特定鸟类的风险水平定义行动阈值,超过该阈值机场应采取行动进一步降低风险。该评估适用于鸟击事件报告和整理随时间推移较为一致且已经实施某种鸟类危害管理计划的机场。这种风险评估旨在衡量机场作为一个企业所面临的风险,而不是单个旅客面临的风险。因此,它在计算中不考虑飞机移动速率,旨在尽量减少造成损害的事件数量,而不是专注于灾难性事件。一旦在机场建立起来,该技术对非专业人员来说易于实施,它使管理人员能够将鸟类控制资源集中在造成最大风险的鸟类物种上,从而使投资回报率最大化。该方案目前正在英国和世界其他地方的主要机场成功使用。

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