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A birdstrike risk assessment model and its application at Ordos Airport, China
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 pro...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661541/ https://www.ncbi.nlm.nih.gov/pubmed/33184337 http://dx.doi.org/10.1038/s41598-020-76275-z |
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author | Hu, Yuanyuan Xing, Pu Yang, Fan Feng, Gang Yang, Guisheng Zhang, Zhengwang |
author_facet | Hu, Yuanyuan Xing, Pu Yang, Fan Feng, Gang Yang, Guisheng Zhang, Zhengwang |
author_sort | Hu, Yuanyuan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7661541 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76615412020-11-13 A birdstrike risk assessment model and its application at Ordos Airport, China Hu, Yuanyuan Xing, Pu Yang, Fan Feng, Gang Yang, Guisheng Zhang, Zhengwang Sci Rep Article 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. Nature Publishing Group UK 2020-11-12 /pmc/articles/PMC7661541/ /pubmed/33184337 http://dx.doi.org/10.1038/s41598-020-76275-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Hu, Yuanyuan Xing, Pu Yang, Fan Feng, Gang Yang, Guisheng Zhang, Zhengwang A birdstrike risk assessment model and its application at Ordos Airport, China |
title | A birdstrike risk assessment model and its application at Ordos Airport, China |
title_full | A birdstrike risk assessment model and its application at Ordos Airport, China |
title_fullStr | A birdstrike risk assessment model and its application at Ordos Airport, China |
title_full_unstemmed | A birdstrike risk assessment model and its application at Ordos Airport, China |
title_short | A birdstrike risk assessment model and its application at Ordos Airport, China |
title_sort | birdstrike risk assessment model and its application at ordos airport, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661541/ https://www.ncbi.nlm.nih.gov/pubmed/33184337 http://dx.doi.org/10.1038/s41598-020-76275-z |
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