收藏切换
Analysis of spatiotemporal variations and driving factors of regional background ozone in the Huai River Basin
收藏切换
Xiao-yong LIU1, 2, *, Jun YAN1, Fang-cheng SU3, Dan YAO4, Hong-rui LI1, Hui GAO1, 2, Wei WEI1, 2
China Environmental Science | 2025, 45(12) : 6560 - 6570
Less
收藏切换
China Environmental Science | 2025, 45(12): 6560-6570
• Air Pollution Control •
Analysis of spatiotemporal variations and driving factors of regional background ozone in the Huai River Basin
Full
Xiao-yong LIU1, 2, *, Jun YAN1, Fang-cheng SU3, Dan YAO4, Hong-rui LI1, Hui GAO1, 2, Wei WEI1, 2
Affiliations
  • 1.School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China
  • 2.Henan Key Laboratory for Synergistic Prevention of Water and Soil Environmental Pollution, Xinyang Normal University, Xinyang 464000, China
  • 3.School of Ecology and Environment, Zhengzhou University, Zhengzhou 450001, China
  • 4.School of Environment, Henan Normal University, Xinxiang 453007, China
Published: 2025-12-20
Outline
收藏切换

To understand the recent trends in ozone (O3) pollution and the contribution of regional background in the Huai River Basin (HRB), this study utilized the Tracking Air Pollution in China (TAP) dataset (2014~2024) and ERA5_Land meteorological reanalysis data. Principal component analysis (PCA) and the regional background estimation method proposed by the Texas Commission on Environmental Quality (TCEQ) were employed to calculate the contribution rate of regional background O3 (O3 concentration without precursor emissions) in the HRB. Additionally, the eXtreme Gradient Boosting (XGBoost) model and SHapley Additive exPlanations (SHAP) were applied to explore the influence of meteorological factors on regional background O3.The results indicate that from 2014 to 2024, the daily maximum 8-hour average (O3-8h) concentration in the HRB increased at a rate of 2.87μg/m3 per year. The regional background O3 estimated by PCA and TCEQ exhibited a strong correlation (R2 = 0.89, P< 0.01), though PCA-derived values were slightly higher, with significantly reduced differences during warm seasons. The estimated average contribution of regional background to O3-8h in the HRB was 85.8%, with contributions ranging from 71.1% to 86.0% in four key cities (Zhengzhou, Hefei, Qingdao, and Xuzhou). Over the study period, the regional background contribution rate increased by an average of 11.5%, suggesting that enhanced regional transport is a major factor driving elevated surface O3 levels.Regional background O3 was influenced nonlinearly by multiple meteorological factors. The dominant factors were surface downward solar radiation in spring and autumn, 2-meter temperature in summer, and a combination of 2-meter temperature and surface downward solar radiation in winter. Overall, high humidity, strong downward surface thermal radiation, high pressure, and strong westerly/northerly winds suppressed regional background O3 concentrations in the HRB.

Huai River Basin  /  ozone  /  regional background  /  driving factors  /  machine learning  /  SHAP analysis
刘晓咏, 颜俊, 苏方成, 姚丹, 李洪瑞, 郜彗, 魏巍. 淮河流域区域背景臭氧时空变化及驱动因素分析. 中国环境科学, 2025 , 45 (12) : 6560 -6570 .
Xiao-yong LIU, Jun YAN, Fang-cheng SU, Dan YAO, Hong-rui LI, Hui GAO, Wei WEI. Analysis of spatiotemporal variations and driving factors of regional background ozone in the Huai River Basin[J]. China Environmental Science, 2025 , 45 (12) : 6560 -6570 .
Year 2025 volume 45 Issue 12
42
11
Cite this Article
BibTeX
Article Info
  • Receive Date:2025-05-06
  • Online Date:2026-10-08
  • Published:2025-12-20
Article Data
Affiliations
History
  • Received:2025-05-06
Funding
Affiliations
    1.School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China
    2.Henan Key Laboratory for Synergistic Prevention of Water and Soil Environmental Pollution, Xinyang Normal University, Xinyang 464000, China
    3.School of Ecology and Environment, Zhengzhou University, Zhengzhou 450001, China
    4.School of Environment, Henan Normal University, Xinxiang 453007, China
References
Share
https://castjournals.cast.org.cn/joweb/zghjkx/EN/
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT