School of Life Sciences, Inner Mongolia University, Hohhot, 010070, China.
The Hohhot Branch of Inner Mongolia Autonomous Region Civil Airport Group Co., LTD, Hohhot, 010070, China.
Sci Rep. 2020 Nov 12;10(1):19627. doi: 10.1038/s41598-020-76275-z.
Birdstrikes are an important threat to aviation safety. A standardized, scientific process for assessing birdstrike risk could prevent accidents, thereby improving the flight safety and reducing economic losses. However, China currently lacks a unified birdstrike risk assessment system. Here, we propose and validate a new model for assessing birdstrike risk in order to fill that need. The model consists of two elements. First, empirical data are collected on the occurrence of birds at the airport and in a surrounding 8 km buffer. Second, each species is evaluated with a risk assessment matrix that takes into account the number of birds, weight, flight altitude, a tendency to cluster, and range of activity. These five factors allow each species to be divided into one of three risk levels: high danger (level 3), moderate danger (level 2) and low danger (level 1). We propose corresponding birdstrike prevention measures for each level. We apply this method to the civil aviation airport in Ordos, China. We found that 20 of the 118 species of birds in and around the airport were high danger birds (level 3). To validate this process, we compared these species with records of birdstrike accidents in a database maintained by the Civil Aviation Administration of China (CAAC) for 2007-2016. We found that 42% of the species we identified as high risk had been involved in at least one birdstrike accident, and that the remaining 58% belonged to families that appeared in the database. The high degree of overlap gives us high confidence in the practicality of our risk assessment model, which is based on the risk management concept of ISO 31000. Critically, this new model and method for predicting bird strike risk can be replicated at other airports around the world, even where no extensive records have been kept of past birdstrikes.
鸟击对航空安全是一个重要的威胁。一个标准化的、科学的鸟击风险评估流程可以防止事故的发生,从而提高飞行安全性并减少经济损失。然而,中国目前缺乏一个统一的鸟击风险评估系统。在这里,我们提出并验证了一个新的鸟击风险评估模型,以填补这一需求。该模型由两个要素组成。首先,收集机场及其周围 8 公里缓冲区鸟类发生的经验数据。其次,使用风险评估矩阵评估每个物种,该矩阵考虑了鸟类的数量、重量、飞行高度、集群倾向和活动范围等五个因素。这五个因素可以将每个物种分为三个风险级别:高危险(级别 3)、中危险(级别 2)和低危险(级别 1)。我们为每个级别提出了相应的鸟击预防措施。我们将这种方法应用于中国鄂尔多斯的民用机场。我们发现,机场及其周围的 118 种鸟类中有 20 种属于高危险鸟类(级别 3)。为了验证这一过程,我们将这些物种与中国民用航空局(CAAC)数据库中 2007-2016 年的鸟击事故记录进行了比较。我们发现,我们确定的高风险物种中有 42%至少发生过一次鸟击事故,而其余 58%属于该数据库中出现过的科。这种高度重叠使我们对基于 ISO 31000 风险管理概念的风险评估模型的实用性充满信心。至关重要的是,这种预测鸟击风险的新模型和方法可以在世界其他机场复制,即使那里没有对过去鸟击事件的广泛记录。