霾与雾的识别和资料分析处理

DISCUSSION ON THE DISTINCTION BETWEEN HAZE AND FOG AND ANALYSIS AND PROCESSING OF DATA

在排除降水、吹雪、雪暴、沙尘暴、扬沙、浮尘和烟幕等视程障碍现象的情况下,通过调试相对湿度,使得雾与轻雾反映自然的年际与年代际气候波动,而霾反映由于人类活动而引起的趋势性变化,其限值大体在90%左右,初步给出了霾与雾区分的概念模型.

By statistical analysis of the observational data and excluding cases of precipitation, snow drift, snowstorm, sand storm, sand dust, and smoke fog, which cause low visibility, the authors tuned the threshold of relative humidity to identify fog/mist to make it follow the natural annual and decadal climate variations. Haze, which can reflect the trends linking to human activities, is set at a threshold of 90% relative humidity for correction to ensure the high quality of the data obtained. Based on these findings, a conceptual model is proposed to distinguish fog from haze, and standards are presented for observing fog and haze in some pro-vinces, and methods of processing climatological data of haze and fog are recommended.