气温和湿度在泸州市城区对臭氧浓度预测的运用研究

气温和湿度均为影响臭氧生成的要素,通过分析泸州市国控点数据,找出气温和湿度与臭氧浓度的关系,从而建立气温和湿度为变量的臭氧浓度预测模型.选取2019年泸州市主城区的气温和湿度数据,将气温按日最高温(Tmax)、日最低温(Tmin)和日平均气温(Tmean)划分,将湿度按四季划分,分别统计其与臭氧浓度的相关性.发现臭氧浓...

Prediction of the Ozone Concentration by Temperature and Humidity in Urban Area of Luzhou

The temperature and the humidity are both significant factors for ozone generation.This method finds out the correlation between the two factors and the concentration of ozone by analyzing the data from the Luzhou air automatic monitoring station,so as to establish a prediction model of ozone concentration with air temperature and humidity as variables.The temperature and the humidity data of Luzhou urban area was collected.Considering the temperature by the daily maximum temperature(T_max),the daily minimum temperature(T_min)and the daily average temperature(T_mean),and considering the humidity by four seasons,and the correlation between the temperature and ozone concentration was calculated.It was found that the correlation between ozone concentration and T_maxwas higher than that of T_minand T_mean.Besides,the correlation between ozone concentration and humidity in summer was higher than that in other seasons.Furthermore,the temperature parameters T_maxand humidity with the highest correlation were selected to establish a two-factor ozone concentration prediction model according to the different meteorological characteristics of each season.,The predicted concentration and the measured concentration has a good correlation,with a correlation coefficient of 0.93.This prediction method can be applied in the area with high temperature and humidity to predict ozone concentration in order to control ozone pollution early.