采用修正热舒适评价值（Corrected Predicted Mean Vote,CPMV）模型,针对实测的国内及国际航线数据进行了客舱环境的热舒适评价。结果表明,当客舱内压力满足适航标准要求范围、相对湿度明显低于舒适性要求时,低压和低相对湿度均能导致...采用修正热舒适评价值（Corrected Predicted Mean Vote,CPMV）模型,针对实测的国内及国际航线数据进行了客舱环境的热舒适评价。结果表明,当客舱内压力满足适航标准要求范围、相对湿度明显低于舒适性要求时,低压和低相对湿度均能导致热舒适评价值（Predicted Mean Vote,PMV）的正偏移,偏移量为0.3~0.4,即低气压和低湿会使乘客感觉更温暖,但这2个参数对乘客热舒适的影响有限。短途航班热舒适性不理想,部分航班出现过热或过冷现象。展开更多
Haze and fog are both low visibility events, but with different physical properties. Haze is caused by the increase of aerosol loading or the hygroscopic growth of aerosol at high relative humidity, whereas visibility...Haze and fog are both low visibility events, but with different physical properties. Haze is caused by the increase of aerosol loading or the hygroscopic growth of aerosol at high relative humidity, whereas visibility degradation in fog is due to the light scattering of fog droplets, which are transited from aerosols via activation. Based on the difference of physical properties between haze and fog, this study presents a novel method to distinguish haze and fog using real time measurements of PM2.5, visibility, and relative humidity. In this method, a criterion can be developed based on the local historical data of particle number size distributions and aerosol hygroscopicity. Low visibility events can be classified into haze and fog according to this criterion.展开更多
文摘采用修正热舒适评价值（Corrected Predicted Mean Vote,CPMV）模型,针对实测的国内及国际航线数据进行了客舱环境的热舒适评价。结果表明,当客舱内压力满足适航标准要求范围、相对湿度明显低于舒适性要求时,低压和低相对湿度均能导致热舒适评价值（Predicted Mean Vote,PMV）的正偏移,偏移量为0.3~0.4,即低气压和低湿会使乘客感觉更温暖,但这2个参数对乘客热舒适的影响有限。短途航班热舒适性不理想,部分航班出现过热或过冷现象。
基金supported by the Basic Research Program of China(Grant No.2011CB403402)the Basic Research Fund of Chinese Academy of Meteorological Sciences(Grant No.2008Z011)
文摘Haze and fog are both low visibility events, but with different physical properties. Haze is caused by the increase of aerosol loading or the hygroscopic growth of aerosol at high relative humidity, whereas visibility degradation in fog is due to the light scattering of fog droplets, which are transited from aerosols via activation. Based on the difference of physical properties between haze and fog, this study presents a novel method to distinguish haze and fog using real time measurements of PM2.5, visibility, and relative humidity. In this method, a criterion can be developed based on the local historical data of particle number size distributions and aerosol hygroscopicity. Low visibility events can be classified into haze and fog according to this criterion.
