自动判别对雾霾日数的影响分析

Analysis on the Influence of Automatically-detecting on Fog and Haze Days

利用1999—2018年的雾霾观测资料,对气候特征相近的3个国家气象观测站保定、高阳、徐水的雾霾日数变化进行统计分析,研究因观测方法的改变导致雾霾日数的变化,探讨产生变化的原因。结果表明,与人工观测相比,自动判别会引起霾、雾、轻雾日数不同程度的增加,其中的霾增加最为显著;自动判别采取瞬间观测记录方式是造成雾霾日数偏多的主要原因;自动判别霾现象日数据记录订正方法使用后,相比订正前,霾日数据序列的连续性有很大改善。

By means of a batch of fog-and-haze observational data from 1999 to 2018,this paper made a series of statistical analyses upon the variations about yearly hazy days of the three national meteorological observation stations with the similar climate characteristics,separately located in Baoding,Gaoyang and Xushui. Besides,it deeply studied the differences in such variations,resulting from varying in different observation ways,as well as explored the reason behind. The results show,comparing with manual observation way,automatically-detecting way can result in the different-degree increases of yearly hazy days,foggy days and light foggy days respectively. And among these data,the one around yearly hazy days has increased most significantly. The main reason lies in that a large number of instantaneous observations and records applied in automatically-detecting way have caused the relatively frequent yearly hazy days. And after using correction way by means of automatically-detecting these data around yearly days with hazy phenomena,it elucidated the fact that the continuity of such data sequences around yearly hazy days has been greatly improved with comparison of that of the pre-corrected ones.