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In order to assess the resilience of CPS in airport flight areas and provide a reference for rapid recovery in emergencies，a refined and real-time airport flight area CPS network model with flight area control network as the information network and flight area taxi path network as the physical network was proposed. For CPS network in airfield areas，the connectivity of the network was calculated by selecting the relative values of the largest connected subgraphs. The network's resilience was evaluated by combining robustness，performance loss，and comprehensive resilience indicators. CPS situation in airfield areas under different disturbance recovery strategies was compared to determine the optimal recovery strategy. Taking Xi'an Xianyang Airport flight area CPS as an example，the results show that betweenness perturbation causes the greatest damage to the control network，while degree value perturbation causes the greatest damage to the taxiing path network. Using betweenness recovery can enable faster recovery of CPS resilience in airfield areas，and CPS network of the flight area of the airport shows a higher level of resilience under random perturbation. The research results can simulate and predict relevant nodes and provide certain reference significance for ensuring the safety of flight area operations.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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