AN ATMOSPHERIC EXTINCTION CHARACTERISTICS AND VISIBILITY PREDICTION MODEL FOR TYPICAL HAZE PROCESSES AT AIRPORTS

ZHENG Chen; WANG Xuan; WANG Lijie; MA Simeng; HAN Bo

doi:10.13205/j.hjgc.202403027

Volume 42 Issue 3

Mar. 2024

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2024 > 42(3): 215-224

ZHAO Xi, WU Shan-shan, LU Ke-ding. DEVELOPMENT OF AN EVALUATION SYSTEM FOR ASSESSING CONSTRUCTION LEVEL IN OPERATION OF MUNICIPAL SOLID WASTE COMPREHENSIVE TREATMENT PARK FOR ZERO-WASTE CITIES[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(2): 136-140,15. doi: 10.13205/j.hjgc.202102022

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ZHENG Chen, WANG Xuan, WANG Lijie, MA Simeng, HAN Bo. AN ATMOSPHERIC EXTINCTION CHARACTERISTICS AND VISIBILITY PREDICTION MODEL FOR TYPICAL HAZE PROCESSES AT AIRPORTS[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(3): 215-224. doi: 10.13205/j.hjgc.202403027

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AN ATMOSPHERIC EXTINCTION CHARACTERISTICS AND VISIBILITY PREDICTION MODEL FOR TYPICAL HAZE PROCESSES AT AIRPORTS

doi: 10.13205/j.hjgc.202403027

ZHENG Chen^1,2,
WANG Xuan^1,2,
WANG Lijie^2,3,
MA Simeng^1,2,
HAN Bo^{1,2
,
,}

1. School of Transportation Science and Engineering, Civil Aviation University of China, Tianjin 300300, China;
2. Research Centre for Environment and Sustainable Development of Civil Aviation Administration of China, Tianjin 300300, China;
3. Airport Operation Center, Jinan International Airport Company Limited, Jinan 250107, China

Received Date: 2023-02-04
Available Online: 2024-05-31

Abstract

Abstract

Atmospheric visibility is one of the most important indicators of airport operations, and it is vital to investigate the mechanism of low visibility weather formation at airports and to accurately predict visibility trends for the safe and efficient operation of air traffic. By monitoring the atmospheric optical parameters, pollutant concentrations, and meteorological conditions at Tianjin Airport, we studied the extinction characteristics of the airport atmosphere during typical haze weather from 8th to 23rd December 2020, constructed airport visibility prediction models based on the generalized additive model (GAM) and the gradient boost regression tree (GBRT) respectively, and compared the prediction results to determine the optimal model. The results indicated that during a typical winter haze pollution-induced low visibility at Tianjin Airport, the B_ext ranged from 37.4 Mm^-1 to 891.7 Mm^-1, with a mean value of 346.0 Mm^-1. The contributions of B_sp, B_ap, B_ag, and B_sg to B_ext respectively accounted for 73.7%, 11.7%, 5.9%, and 8.7%, with aerosol pollution being the visibility reduction, and GBRT analysis showed that the relative contribution of particles below 1 μm to total extinction was the largest. Meanwhile, BC and NO₂ can also reduce visibility through extinction. Using meteorological parameters and pollutant concentration data, both the GAM and GBRT models can provide more accurate prediction on airport visibility, and the GBRT model fitting better than the GAM model, indicating that the GBRT model can provide accurate and reliable airport visibility predictions in frequent haze weather.
- airport pollution,
- atmospheric extinction characteristics,
- low visibility prediction,
- GAM,
- GBRT

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References(31)

References

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