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To quantitatively evaluate the influence of snowfall on the resilience of airport infrastructure system，the airport infrastructure system was divided into four first-level indicators，including physical system，functional system，economic system and organizational system. The damage intensity coefficient of snowfall weather to the second-level indicators was put forward，and a quantitative analysis model of airport infrastructure system resilience was established. The variation of resilience level of airport infrastructure system was simulated by the Monte Carlo Method under four different levels of snowfall. The simulation result show that the functional damage degree and recovery time of the airport infrastructure system are positively correlated with snowfall intensity. The system recovery time is 13，14，16 and 23 respectively under the conditions of light snow，moderate snow，heavy snow and blizzard. The resilience of the airport infrastructure system under the condition of blizzard is 9.65%，17.01% and 20.27% lower than that under the conditions of heavy，medium and light snow，respectively. The recovery speed of the airport infrastructure system increases from 0.053%/h to 0.061%/h，and the recovery time reduces from 12 h to 9 h when the failure strength coefficient reduces by 20%.
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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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