Airports and Unmanned Aircraft Systems, Volume 1: Managing and Engaging Stakeholders on UAS in the Vicinity of Airports (2020) / Chapter Skim
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Pages 34-44
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34 This chapter serves as a tool for developing visual risk assessment maps for airport operators. The method helps airport operators better understand and visualize geospatial risks that may exist in the context of UAS operations.
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Visual Risk Assessment Map and Factors 35 severity, and rows of likelihood. The grades of "low," "medium," and "high" are used to divide risk into three categories that trigger certain risk acceptance practices.
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36 Airports and Unmanned Aircraft Systems the defined risk may rank differently between low, medium, and high. Visual risk maps help understand hazards spatially, but not all hazards are easily represented visually.
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Visual Risk Assessment Map and Factors 37 Figure 13. High-risk level definition based on FAA Order 8040.4B.
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38 Airports and Unmanned Aircraft Systems operators, it is important for an airport operations department/manager to be familiar with them, especially as they relate to the management of UAS operations within the vicinity of existing manned aircraft around an airport. Table 10 describes risk factor definitions and guidance documents, which are based largely on information from the FAA Risk Management Handbook 8083-2, FAA Low Altitude Authorization and Notification Capability (LAANC)
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Visual Risk Assessment Map and Factors 39 These capabilities can reduce the risks generated by certain UAS operations based on considerations such as range and performance of communications, perception systems, and aircraft (e.g., in a lost link scenario)
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40 Airports and Unmanned Aircraft Systems designated visual observer when conducting certain operations. A PIC operating under Part 107 must maintain a remote pilot airman certificate to demonstrate that they are a competent and knowledgeable pilot.
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Visual Risk Assessment Map and Factors 41 Figure 16. UAS facility map for PIT.
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42 Airports and Unmanned Aircraft Systems Figure 17. Probability of icing based on altitude and time.
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Visual Risk Assessment Map and Factors 43 example of a time-varying factor that heavily influences risks and cannot be provided in a static map. Performance of UAS, in particular small UAS/UAV, typically degrades rapidly with higher winds, precipitation, and in icing conditions, and can result in UAs being carried a significant distance.
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Table 11. Risk factors categorized by likelihood and severity of adverse events.
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