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[Spatiotemporal Variation Characteristics of Ozone and Identification of Key Influencing Factors Based on Random Forest Model: A Case Study of Chuzhou City].
Xin, Bo-da; Lü, Lian-Hong; Wang, Pei; Li, Wei; Wang, Lei; Zhou, Chun; Dong, Jing-Jing; Wang, Si-Yi.
Affiliation
  • Xin BD; Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
  • Lü LH; Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
  • Wang P; Shanghai Jianke Environmental Technology Co., Ltd., Shanghai 200030, China.
  • Li W; Chuzhou Ecological Environment Bureau, Chuzhou 239000, China.
  • Wang L; Chuzhou Ecological Environment Protection Comprehensive Administrative Law Enforcement Detachment, Chuzhou 239000, China.
  • Zhou C; Shanghai Jianke Environmental Technology Co., Ltd., Shanghai 200030, China.
  • Dong JJ; Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
  • Wang SY; Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Huan Jing Ke Xue ; 45(9): 5117-5126, 2024 Sep 08.
Article in Zh | MEDLINE | ID: mdl-39323130
ABSTRACT
The cause of ozone pollution is a complex scientific problem. Studying the spatiotemporal variation characteristics of O3 at different time scales and analyzing the key influencing factors of O3 concentration is of great significance for the precise formulation of urban air pollution control measures and the improvement of urban air quality. Based on the analysis of the spatiotemporal variation characteristics of O3 concentration in Chuzhou City, we studied the 12 ozone-influencing factors of meteorology and pollutants at multiple time scales using Spearman correlation analysis and a random forest model. The results showed that: ① The O3 pollution level of Chuzhou City showed an aggravating trend, and the O3 concentration distribution showed a spatial pattern of "high in the southeast and low in the northwest." ② From February to May, SO2 concentration had a strong impact on the increase in O3 concentration. From June to September, PM2.5 and PM10 were significantly positively correlated with ozone and had a greater impact. ③ Relative humidity, temperature, and wind speed had a significant impact on O3, whereas barometric pressure and hourly rainfall had a weak impact. ④ The O3 pollution mechanism in Chuzhou City changed from "pollutant-controlled" to "meteorology-controlled." ⑤ Among meteorological and pollutant factors, the three influencing factors that had the greatest influence on O3 concentration were temperature, wind speed, and relative humidity, with PM10 concentration, PM2.5 concentration, and SO2 concentration also contributing. All of the above six influencing factors had a significant nonlinear relationship with the O3 concentration.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: Zh Journal: Huan Jing Ke Xue Year: 2024 Document type: Article Affiliation country: China Country of publication: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: Zh Journal: Huan Jing Ke Xue Year: 2024 Document type: Article Affiliation country: China Country of publication: China