临汾市空气污染扩散气象条件等级预报评估

Forecast and Evaluation of Meteorological Condition Levels for Air Pollution Diffusion in Linfen City

摘要: 利用2022年临汾市逐日AQI数据和PM₁₀、PM_2.5、O₃、NO₂、CO、SO₂等资料，以及同期气象资料，对空气污染扩散气象条件等级方程进行计算，然后利用2023年1~3月的静稳指数对得出的临汾市空气污染气象条件方程进行评估分析，结果表明：通过SPSS相关性分析，将PM_2.5浓度的日平均值数据作为日数据的空气污染物浓度O_t可能会使计算值偏小，同时，使用日平均值的静稳指数S_t计算得到的指数I_{t + 1}也会偏小，如果使用一天中PM_2.5浓度O_t的最大值和静稳指数S_t的最大值计算得出的空气污染气象指数I_{t + 1}值会相对大一些。

Abstract: Using daily AQI data and meteorological data from Linfen City in 2022, as well as meteorological data from the same period, the air pollution diffusion meteorological condition level equation was calculated. Then, the static stability index from January to March 2023 was used to evaluate and analyze the obtained Linfen air pollution meteorological condition equation. The results showed that using the daily average concentration data as the daily air pollutant concentration data through SPSS correlation analysis may cause the calculated value to be smaller. At the same time, the static stability index calculated using the daily average may also be smaller. If the maximum concentration and static stability index of a day are used to calculate the air pollution meteorological index value, the air pollution meteorological index value will be relatively larger.