Abstract
The aircrafts’ engine performance deteriorates sharply during the take-off and landing at high plateau airport. This situation increases the take-off or landing distance, aggravating the hidden danger of birdstrikes at high plateau airport. This paper first used GIS to classify and rasterize the bird data and calculated the monthly Birdstrike Risk Index (BRI) within 6, 13, and 25 km radii of Lhasa Airport, based on the bird observation data of Tibet and the birdstrike data of Lhasa Airport from 2015 to 2019. The spatiotemporal relationships between the BRI and the environmental factors around Lhasa Airport were compared by the Geographically or Temporally Weighted Regression (GWR or TWR) model and Geographically and Temporally Weighted Regression (GTWR) model. The results showed that the temporal nonstationary effect of environmental factors was more significant than that of spatial nonstationary at Lhasa Airport. Besides, the composition of land types had positive impacts on birdstrike risk within the 6 km radius, and this scope was broader than that of the plain airport. Within the 13 km and 25 km ranges, the water distribution and the altitude during dry season also positively impacted birdstrike risk. Moreover, the key factor to birdstrike risk was the water distribution in December.
Highlights
High plateau airport is an airport with an altitude of more than 2438 m (8000 feet)
In the rainy season, the high Birdstrike Risk Index (BRI) areas are only distributed in a small part of the whole studied area and far away from the airport
As the aircraft continues to descend, it gradually enters the area of high birdstrike risk, which is most apparent in the dry season
Summary
High plateau airport is an airport with an altitude of more than 2438 m (8000 feet). Due to the complex and harsh terrain and meteorological conditions, the aircraft’s engine performance is reduced, such as difficulty to start, thrust reduction, and other problems. Cecilia et al [5] used the Birdstrike Risk Index (BRI) to describe the airport birdstrike risk according to the actual bird existence data, taking into account the relative risk of birds across species, and provided information for the priority of airport management actions. They improved the BRI in the following year [6] by adding two groups of wild animal species, changing the application of the effect on flight, and conducting a contrastive analysis in Italy to avoid the flattening of large-scale wildlife impact on aircraft while maintaining a comparable airport risk assessment. We will use takeoffs and landings instead of flight volume to generate a monthly Birdstrike Risk Index (mBRI) to suit the birdstrike risk assessment at Lhasa Airport
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