Event Detection and Spatio-temporal Analysis of Low-Altitude Unstable Approach
Autor: | Binbin Lu, Yang Jiao, Rongshun Huang, Huabo Sun, Jiayi Xie |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Correlation coefficient
Meteorology Computer science Spatial distribution 01 natural sciences lcsh:Technology Correlation lcsh:Chemistry 010104 statistics & probability Altitude unstable approach 0501 psychology and cognitive sciences General Materials Science 0101 mathematics Instrumentation Spatial analysis lcsh:QH301-705.5 050107 human factors spatio-temporal analysis Event (probability theory) Fluid Flow and Transfer Processes lcsh:T Process Chemistry and Technology detection method 05 social sciences General Engineering Elevation Regression analysis evaluation model lcsh:QC1-999 Computer Science Applications lcsh:Biology (General) lcsh:QD1-999 lcsh:TA1-2040 lcsh:Engineering (General). Civil engineering (General) lcsh:Physics |
Zdroj: | Applied Sciences, Vol 10, Iss 4934, p 4934 (2020) Applied Sciences Volume 10 Issue 14 |
ISSN: | 2076-3417 |
Popis: | Low-altitude unstable approach (UA) is one of the crucial risks that threaten flight safety. In this study, we proposed a technical program for detecting low-altitude UA events. The detection logic was to optimize the step-wise regression model with iterative surveys with more than 20 experienced pilots. Accordingly, the frequencies of UA events occurring around each airport in January 2018 were calculated for all the airports within mainland China. Finally, the spatial distribution characteristics of UA events were analyzed via exploratory spatial data analysis. In addition, Pearson&rsquo s correlation coefficient and the geographically weighted correlation coefficient were used to explore the correlations between UA frequency and the altitude elevation, wind level, and bad weather. The experimental results revealed that the proposed method can accurately detect the occurrence of low-altitude UA and quantitatively characterize risks. It was found that UA exhibits obvious differences in spatial distribution. Moreover, significantly strong correlations were found between UA and altitude elevation, wind level, and bad weather, and correlation differences were also reflected in different regions in China. |
Databáze: | OpenAIRE |
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