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Volume 40 Issue 9
Nov.  2022
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Article Navigation >  ENVIRONMENTAL ENGINEERING  > 2022  >  40(9): 44-53
ZHOU Yu-qi, CAO Qi, XU Jun-chao, LIU Chang-qing, ZHUO Gui-hua, CHEN Jian-yong, ZHENG Yu-yi. INFLUENCE OF DIFFERENT SOURCE SUBSTRATE SYSTEMS ON METHANOGENESIS OF RESIDUE FROM ANAEROBIC FERMENTATIVE HYDROGEN PRODUCTION USING COMBINED SLUDGE AND FOOD WASTE[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(9): 123-130. doi: 10.13205/j.hjgc.202109018
Citation: 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
shu

SPATIAL-TEMPORAL CHARACTERISTICS OF PM2.5 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
  • In order to study the pollution status of PM2.5 and PM10 in the atmosphere of Jiaozuo, Henan, based on the hourly observation data of PM2.5 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 PM2.5 and PM10 in Jiaozuo and the influence of meteorological factors were analyzed. The results showed that: 1) The diurnal variation of PM2.5 and PM10 concentrations presented a bimodal structure in all seasons. The variation curve of the overall monthly PM2.5 and PM10 concentrations in the three years was approximately U-shaped. The seasonal variation characteristics of PM2.5 and PM10 were higher in winter and low in summer, and moderate in spring and autumn. 2) The spatial characteristics of PM2.5 and PM10 concentrations were higher in southwestern regions and lower in northeastern regions. Compared with 2018, the decrease scopes of PM2.5 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 PM2.5 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 PM2.5 concentration, and a significantly negative correlation with PM10 concentration. The monitoring station in Environmental Protection Bureau of Jiaozuo had higher concentrations of PM2.5 and PM10 in northeast and southwest wind directions. The selected monitoring stations in surrounding counties(cities) of Jiaozuo had higher concentrations of PM2.5 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.
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