Distribution of PM2.5 and PM10 in Chengde City and its Relationship with Meteorological Factors
Absrtact Based on the PM2.5 and PM 10 concentration data and meteorological observation data in Chengde from 2016 to 2022,the annual,seasonal,monthly and daily variation characteristics of PM2.5 and PM 10 and their relationship with meteorological factors were analyzed.The results showed that the particulate matter pollution in Chengde City had obvious seasonal variation characteristics,and the number of pollution days and exceedence probability of PM10 and PM2.5 showed the double trends of fluctuating and decreasing.The peak concentrations of PM10 and PM2.5 generally occurred in April,November and December.The daily variation trend of PM10 was similar to that of PM2.5,showing two peaks and two valleys,but was more obvious.There was a significant correlation between PM10 and PM2.5 concentration in each season,and the correlation coefficient between CO and PM10 and PM2.5 concentration was greater than others.The concentrations of PM2.5 and PM10 were negatively correlated with average daily temperature,daily precipitation,average daily wind speed,maximum daily wind speed,sunshine duration and minimum visibility.Both PM2.5 and PM10 were positively correlated with relative humidity.The concentrations of PM2.5 and PM10 decreased by 2.5 μg·m-3 and 18.3 μg·m-3 respectively on precipitation days compared with non-precipitation days.When the relative humidity was about 75％,the concentration of PM2.5 reached its peak.Within a certain range,the PM2.5 concentration decreased by 0.37 μg·m-3 for every 1 ℃ increase in air temperature.The prediction models of PM2.5 and PM10in Chengde region were established by stepwise regression method,and the goodness of fit of two models were above 0.8 and 0.7,respectively.The test results showed that the prediction models had good effect and practicability within a certain range.
ChengdePM2.5PM10Meteorological factorsForecast model
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