AN ATMOSPHERIC EXTINCTION CHARACTERISTICS AND VISIBILITY PREDICTION MODEL FOR TYPICAL HAZE PROCESSES AT AIRPORTS
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 Bext ranged from 37.4 Mm-1 to 891.7 Mm-1,with a mean value of 346.0 Mm-1.The contributions of Bsp,Bap,Bag,and Bsg to Bext 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.
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万方数据
