SPATIAL-TEMPORAL CHARACTERISTICS OF PM<sub>2.5</sub> AND PM<sub>10</sub> AND THEIR RELATIONSHIPS WITH METEOROLOGICAL FACTORS IN JIAOZUO, HENAN

LI Yang; LIU Yong-he; WANG Xi-yue; WANG Hai-lin

doi:10.13205/j.hjgc.202209006

Volume 40 Issue 9

Nov. 2022

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2022 > 40(9): 44-53

LI Yang, LIU Yong-he, WANG Xi-yue, WANG Hai-lin. SPATIAL-TEMPORAL CHARACTERISTICS OF PM2.5 AND PM10 AND THEIR RELATIONSHIPS WITH METEOROLOGICAL FACTORS IN JIAOZUO, HENAN[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(9): 44-53. doi: 10.13205/j.hjgc.202209006

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LI Yang, LIU Yong-he, WANG Xi-yue, WANG Hai-lin. SPATIAL-TEMPORAL CHARACTERISTICS OF PM_2.5 AND PM₁₀ AND THEIR RELATIONSHIPS WITH METEOROLOGICAL FACTORS IN JIAOZUO, HENAN[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(9): 44-53. doi: 10.13205/j.hjgc.202209006

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SPATIAL-TEMPORAL CHARACTERISTICS OF PM_2.5 AND PM₁₀ AND THEIR RELATIONSHIPS WITH METEOROLOGICAL FACTORS IN JIAOZUO, HENAN

doi: 10.13205/j.hjgc.202209006

1. School of Resources and Environment, Henan Polytechnic University, Jiaozuo 454003, China;
2. Jiaozuo Ecological Environment Monitoring Center, Jiaozuo 454003, China

Received Date: 2021-11-08
Available Online: 2022-11-09

Abstract

Abstract

In order to study the pollution status of PM_2.5 and PM₁₀ in the atmosphere of Jiaozuo, Henan, based on the hourly observation data of PM_2.5 and PM₁₀ concentrations at 50 ambient air quality monitoring stations in Jiaozuo from 2018 to 2020, combined with meteorological data, the spatial and temporal distribution characteristics of PM_2.5 and PM₁₀ in Jiaozuo and the influence of meteorological factors were analyzed. The results showed that: 1) The diurnal variation of PM_2.5 and PM₁₀ concentrations presented a bimodal structure in all seasons. The variation curve of the overall monthly PM_2.5 and PM₁₀ concentrations in the three years was approximately U-shaped. The seasonal variation characteristics of PM_2.5 and PM₁₀ were higher in winter and low in summer, and moderate in spring and autumn. 2) The spatial characteristics of PM_2.5 and PM₁₀ concentrations were higher in southwestern regions and lower in northeastern regions. Compared with 2018, the decrease scopes of PM_2.5 and PM₁₀ concentrations in Xiuwu County in 2020 were the largest, which were 30.25% and 22.72%, respectively. 3) Spearman correlation analysis showed that the concentrations of PM_2.5 and PM₁₀ had significantly negative correlations with temperature and wind speed, and a significantly positive correlation with air pressure. Relative humidity had a significantly positive correlation with PM_2.5 concentration, and a significantly negative correlation with PM₁₀ concentration. The monitoring station in Environmental Protection Bureau of Jiaozuo had higher concentrations of PM_2.5 and PM₁₀ in northeast and southwest wind directions. The selected monitoring stations in surrounding counties(cities) of Jiaozuo had higher concentrations of PM_2.5 and PM₁₀ in the southwest wind direction, such as Qinghua Town in Boai County, Xiwan Town in Qinyang City and Qiaomiao Township in Wuzhi County. The study showed that there was a certain relationship between air pollution and meteorological factors in Jiaozuo from 2018 to 2020. It was expected to provide an important scientific basis for the prevention and control of air pollution in industrial areas, and the planning and layout of production and life in the future.
- PM_2.5,
- PM₁₀,
- spatial and temporal distribution,
- variation trend,
- meteorological factor

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