A New Air Quality Prediction Framework for Airports Developed with a Hybrid Supervised Learning Method
المؤلفون المشاركون
Tian, Yong
Huang, Weifang
Ye, Bojia
Yang, Minhao
المصدر
Discrete Dynamics in Nature and Society
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-04-15
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
In order to reduce the air pollution impacts by aircraft operations around airports, a fast and accurate prediction of air quality related to aircraft operations is an essential prerequisite.
This article proposes a new framework with a combination of the standard assessment procedure and machine learning methods for fast and accurate prediction of air quality in airports.
Instead of taking some specific pollutant as concerned metric, we introduce the air quality index (AQI) for the first time to evaluate the air quality in airports.
Then, following the standard assessment procedure proposed by International Civil Aviation Organization (ICAO), the airports AQIs in different scenarios are classified with consideration of the airport configuration, actual flight operations, aircraft performance, and related meteorological data.
Taking the AQI classification results as sample data, several popular supervised learning methods are investigated for accurately predicting air quality in airports.
The numerical tests implicate that the accuracy rate of prediction could reach more than 95% with only 0.022 sec; the proposed framework and the results could be used as the foundation for improving air quality impacts around airports.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tian, Yong& Huang, Weifang& Ye, Bojia& Yang, Minhao. 2019. A New Air Quality Prediction Framework for Airports Developed with a Hybrid Supervised Learning Method. Discrete Dynamics in Nature and Society،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1146232
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tian, Yong…[et al.]. A New Air Quality Prediction Framework for Airports Developed with a Hybrid Supervised Learning Method. Discrete Dynamics in Nature and Society No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1146232
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tian, Yong& Huang, Weifang& Ye, Bojia& Yang, Minhao. A New Air Quality Prediction Framework for Airports Developed with a Hybrid Supervised Learning Method. Discrete Dynamics in Nature and Society. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1146232
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1146232
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر