Optimising runway throughput through wake vortex detection, prediction and decision support tools
Optimising runway throughput through wake vortex detection, prediction and decision support tools
复制标题
通过尾涡检测、预测和决策支持工具优化跑道吞吐量
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Jean
中科院分区：
文献类型：
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作者：
F. Barbaresco;P. Jugé;M. Klein;Y. Ricci;J. Schneider;Jean
目前在许多机场，跑道是限制整体吞吐量的因素。其中最重要的参数是用起飞间隙时间和最后进近到达距离表示的固定尾流分离最小值。如今，这种尾流湍流分离已经限制了欧洲许多机场的到达和离开流量。现有的离港和抵港尾流湍流分离有时被认为过于保守，因为它们没有考虑到可能改变、减少或减轻其环流的气象条件。本文将介绍SESAR项目的主要方面，该项目根据相关的操作概念改进来定义、分析和开发一个经过验证的尾流湍流系统，以便准时或永久地减少着陆和起飞尾流湍流分离，从而增加跑道吞吐量，从而安全地吸收到达需求高峰和/或减少起飞延误。这一全球目标将通过开发尾流涡决策支持系统来实现，该系统能够实时提供尾流涡的位置和强度，并预测其行为及其对安全和容量的潜在影响，同时考虑到实际天气信息以及机场特定的气候条件、飞机特性（产生的尾流涡和尾流涡的敏感性）和机场跑道布局。这些功能将逐步纳入尾流涡决策支持系统，并在机场进行验证和部署，以优化跑道吞吐量并减少延误。
Currently at many airports, runway is the limiting factor for the overall throughput. Among the most important parameters are the fixed wake turbulence separation minima expressed in time for take-off clearance and by distance for arrivals on final approach. This wake turbulence separation limits the arrival and departure flow on many airports in Europe already today. Existing departure and arrival wake turbulence separations are sometimes considered over conservative as they do not take into account meteorological conditions likely to shift, reduce or alleviate their circulations. This paper will present the main aspects of a SESAR project that defines, analyses and develops a verified wake turbulence system according to related operational concept improvements in order to, punctually or permanently, reduce landing and departure wake turbulence separations and, therefore, to increase the runway throughput in such a way that it safely absorbs arrival demand peaks and/or reduces departure delays. This global objective will be achieved by means of developing a wake vortex decision support system able to deliver in real time position and strength of the wake vortices and to predict their behavior and potential impact on safety and capacity, taking in account actual weather information as well as the airport specific climatological conditions, aircraft characteristics (generated wake vortex and wake vortex sensitivity) and airport runways layout. These functionalities will be progressively included in the wake vortex decision support system to be validated and deployed on airports in order to optimize the runway throughput and reduce delays.