Investigation and Evaluation of Summer Vegetation in Guangzhou Baiyun International Airport
DOI:
https://doi.org/10.54097/ajmss.v2i3.8743Keywords:
Airport Plant Survey, K-means Clustering, Bird Attraction, Bird Strike ControlAbstract
The bird ecological chain can be broken by the ecological environment management of the airport and its surrounding areas; it is an effective method for bird strike control. Based on a comprehensive survey of plant populations in Baiyun Airport, it can be seen that there are 68 dominant plant species that are more attractive to birds inside and outside Baiyun Airport. The K-means clustering algorithm is used to cluster the 68 plants in MATLAB. The analysis results show that these 68 plants can be divided into three categories according to their comprehensive attraction to birds. The airport authorities can invest different management resources and adopt different management methods for the three types of plants with different risk, so as to minimize the arrival of birds at the airport.
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