淮河流域区域背景臭氧时空变化及驱动因素分析

刘晓咏, 颜俊, 苏方成, 姚丹, 李洪瑞, 郜彗, 魏巍

中国环境科学 ›› 2025, Vol. 45 ›› Issue (12) : 6560-6570.

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中国环境科学 ›› 2025, Vol. 45 ›› Issue (12) : 6560-6570.
大气污染与控制

淮河流域区域背景臭氧时空变化及驱动因素分析

  • 刘晓咏1,2, 颜俊1, 苏方成3, 姚丹4, 李洪瑞1, 郜彗1,2, 魏巍1,2
作者信息 +

Analysis of spatiotemporal variations and driving factors of regional background ozone in the Huai River Basin

  • LIU Xiao-yong1,2, YAN Jun1, SU Fang-cheng3, YAO Dan4, LI Hong-rui1, GAO Hui1,2, WEI Wei1,2
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摘要

为了解淮河流域近年来臭氧(O3)污染变化趋势及区域背景的贡献,基于2014~2024年中国大气成分近实时追踪数据集(TAP)和ERA5_Land气象再分析数据集,利用主成分分析(PCA)法和美国德克萨斯州环境质量委员会(TCEQ)提出的区域背景估算方法,计算淮河流域区域背景(没有前体物排放时的O3浓度)对O3的贡献率,并结合极端梯度提升模型(XGBoost)和沙普利加和解释模型(SHAP)探讨气象因子对区域背景O3的影响.结果表明,2014~2024年,淮河流域O3日最大8h滑动平均(O3-8h)浓度以2.87μg/(m3·a)的速度增长.PCA法和TCEQ法估算的区域背景O3具有高度相关性(R2= 0.89,P<0.01),但PCA法的结果比TCEQ略高,在暖季结果差异显著降低.经估算,区域背景对淮河流域2014~2024年r(O3-8h)的平均贡献率为85.8%,对4个区域核心城市郑州、合肥、青岛和徐州的贡献率为71.1%~86.0%.2014~2024年淮河流域区域背景贡献率平均升高11.5%,区域传输的加剧是导致地表O3浓度升高的重要原因之一.区域背景O3受多种气象因子的非线性影响,春季和秋季的主控因子为地表太阳向下辐射,夏季为地表2m温度,冬季为地表2m温度和地表太阳向下辐射.总体上,高湿度、强地表向下热辐射、高气压、强西风和强北风会抑制淮河流域区域背景O3浓度.

Abstract

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 2.87 μg/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.

关键词

淮河流域 / 臭氧 / 区域背景 / 驱动因素 / 机器学习 / SHAP分析

Key words

Huai River Basin / ozone / regional background / driving factors / machine learning / SHAP analysis

引用本文

导出引用
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[J]. 中国环境科学. 2025, 45(12): 6560-6570
LIU Xiao-yong, YAN Jun, SU Fang-cheng, YAO Dan, LI Hong-rui, GAO Hui, 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
中图分类号: X511   

参考文献

[1] Li K, Jacob D J, Shen L, et al. Increases in surface ozone pollution in China from 2013 to 2019: Anthropogenic and meteorological influences [J]. Atmospheric Chemistry and Physics, 2020,20(19): 11423-11433.
[2] 安 聪,纪元元,储王辉,等.2017~2022年环渤海地区代表性城市臭氧时空分布特征及气象条件的影响 [J]. 环境科学, 2024,45(8): 4398-4410. An C, Ji Y Y, Chu W H, et al. Spatiotemporal distribution characteristics of ground-level-ozone and its relationship with meteorological conditions in a representative city in the Bohai rim from 2017 to 2022 [J]. Environmental Science, 2024,45(8):4398-4410.
[3] Liu H, Liu S, Xue B R, et al. Ground-level ozone pollution and its health impacts in China [J]. Atmospheric Environment, 2017,173:223-230.
[4] Qiu Y Q, Li X, Chai W X, et al. Insights into ozone pollution control in urban areas by decoupling meteorological factors based on machine learning [J]. Atmospheric Chemistry and Physics, 2025,25(3):1749-1763.
[5] Wang F T, Zhang K, Xue J, et al. Understanding regional background ozone by multiple methods: A case study in the Shandong region, China, 2018~2020 [J]. Journal of Geophysical Research: Atmospheres, 2022,127(22),doi:10.1029/2022JD036809.
[6] Berlin S R, Langford A O, Estes M, et al. Magnitude, decadal changes, and impact of regional background ozone transported into the Greater Houston, Texas, Area [J]. Environmental Science & Technology, 2013,47(24):13985-13992.
[7] 吴 琳,薛丽坤,王文兴.基于观测的臭氧污染研究方法 [J]. 地球环境学报, 2017,8(6):479-491. Wu L, Xue L K, Wang W X, et al. Review on the observation-based methods for ozone air pollution research [J]. Journal of Earth Environment, 2017,8(6):479-491.
[8] Skipper T N, Hu Y, Odman M T, et al. Estimating US background ozone using data fusion [J]. Environmental Science & Technology, 2021,55(8):4504-4512.
[9] Qu K, Yan Y, Wang X, et al. The effect of cross-regional transport on ozone and particulate matter pollution in China: A review of methodology and current knowledge [J]. Science of the Total Environment, 2024,947,doi:10.1016/j.scitotenv.2024.174196.
[10] Xue L K, Wang T, Louie P K K, et al. Increasing external effects negate local efforts to control ozone air pollution: A case study of Hong Kong and implications for other Chinese cities [J]. Environmental Science & Technology, 2014,48(18):10769-10775.
[11] 闫 慧,张 维,侯 墨,等.我国地级及以上城市臭氧污染来源及控制区划分 [J]. 环境科学, 2020,41(12):5215-5224. Yan H, Zhang W, Hou M, et al. Sources and control area division of ozone pollution in cities at prefecture level and above in China [J]. Environmental Science, 2020,41(12):5215-5224.
[12] 黄 晴,黄银芝,张 珊,等.基于边界观测的长三角某工业区O3来源特征 [J]. 环境科学, 2021,42(10):4621-4631. Huang Q, Huang Y Z, Zhang S, et al. O3 source characteristics of an industrial area in the Yangtze River Delta based on boundary observations [J]. Environmental Science, 2021,42(10):4621-4631.
[13] 李云凤,汤济霖,纪元元,等.近年北京市环境空气臭氧及其背景浓度的对比分析 [J]. 环境科学, 2025,46(3):1275-1284. Li Y F, Tang J F, Ji Y Y, et al. Comparative analysis of ambient ozone and its background concentration in Beijing in recent years [J]. Environmental Science, 2025,46(3):1275-1284.
[14] 冀建树,俞 杰,许丹丹,等.2022年暖季宁波市臭氧区域特征及其背景浓度估算 [J]. 中国环境监测, 2024,40(5):53-66. Ji J S, Yu J, Xu D D, et al. Regional characteristics and background concentration estimation of ozone in Ningbo city during the warm season of 2022 [J]. Environmental Monitoring in China, 2024,40(5):53-66.
[15] 姚 青,马志强,郝天依,等.京津冀区域臭氧时空分布特征及其背景浓度估算 [J]. 中国环境科学, 2021,41(11):4999-5008. Yao Q, Ma Z Q, Hao T Y, et al. Temporal and spatial distribution characteristics and background concentration estimation of ozone in Beijing-Tianjin-Hebei region [J]. China Environmental Science, 2021, 41(11):4999-5008.
[16] Langford A O, Senff C J, Banta R M, et al. Regional and local background ozone in Houston during Texas Air Quality Study 2006 [J]. Journal of Geophysical Research-Atmospheres, 2009,114,doi:10. 1029/2008JD011687.
[17] Suciu L G, Griffin R J, Masiello C A. Regional background O3 and NOx in the Houston-Galveston-Brazoria (TX) region: a decadal-scale perspective [J]. Atmospheric Chemistry and Physics, 2017,17(11): 6565-6581.
[18] 梁 昱,刘禹含,王红丽,等.基于主成分分析的上海春季近地面臭氧污染区域性特征研究 [J]. 环境科学学报, 2018,38(10):3807-3815. Liang Y, Liu Y H, Wang H L, et al. Regional characteristics of ground-level ozone in Shanghai based on PCA analysis [J]. Acta Scientiae Circumstantiae, 2018,38(10):3807-3815.
[19] 刘晓咏,颜 俊,刘 航,等.2019~2021年河南省区域背景臭氧浓度估算 [J]. 环境科学, 2024,45(8):4411-4418. Liu X Y, Yan J, Liu H, et al. Estimation of regional background ozone in Henan Province from 2019 to 2021 [J]. Environmental Science, 2024,45(8):4411-4418.
[20] Liu X Y, Gao H, Zhang X M, et al. Driving forces of meteorology and emission changes on surface ozone in the Huaihe River Basin, China [J]. Water Air and Soil Pollution, 2023,234(6),doi:10.1007/s11270-023-06345-1.
[21] 罗 乐,董张森,徐起翔,等.河南省区域背景O3浓度特征与驱动因素素 [J]. 中国环境科学, 2025,45(7):3573-3581. Luo L, Dong Z S, Xu Q X, et al. Characteristics and drivers of regional background ozone concentrations in Henan Province [J]. China Environmental Science, 2025,45(7):3573-3581.
[22] 牛继强,张一丹,刘晓咏.2015~2020年信阳市臭氧污染特征及潜在源解析 [J]. 信阳师范大学学报(自然科学版), 2025,38(1):1-7. Niu J Q, Zhang Y D, Liu X Y. Characteristics and potential source areas of ozone pollutionin Xinyangfrom 2015 to 2020 [J]. Journal of Xinyang Normal University (Natural Science Edition), 2025,38(1):1-7.
[23] 王超龙,薛 莲,张宜升,等.基于可解释性机器学习的滨海城市臭氧驱动因素 [J]. 环境科学, 2025,46(5):2642-2653. Wang C L, Xue L, Zhang Y S, et al. Urban ozone driving factors based on explainable machine learning [J]. Environmental Science, 2025, 46(5):2642-2653.
[24] Xue T, Zheng Y, Geng G, et al. Estimating spatiotemporal variation in ambient ozone exposure during 2013~2017 using a data-fusion model [J]. Environmental Science & Technology, 2020,54(23):14877-14888.
[25] Xiao Q, Geng G, Xue T, et al. Tracking PM2.5 and O3 pollution and the related health burden in China 2013~2020 [J]. Environmental Science & Technology, 2021,56(11):6922-6932.
[26] Nielson-Gammon J, Tobin J, Mcneel A, et al. A conceptual model for eight-hour ozone exceedances in Houston, Texas Part I: background ozone levels in Eastern Texas [M]. College Station: Texas A&M University, 2005,79.
[27] Bui T H, Luong N D, Trung B Q, et al. Characteristics of water-soluble inorganic ions and carbonaceous compounds in PM2.5 in the urban area of Hanoi, Vietnam [J]. Environmental Earth Sciences, 2025, 84(2),doi:10.1007/s12665-024-12077-0.
[28] Horník S, Pokorná P, Vodicka P, et al. Positive matrix factorization of seasonally resolved organic aerosol at three different central European background sites based on nuclear magnetic resonance Aerosolomics data [J]. Science of the Total Environment, 2024,916,doi:10.1016/ j.scitotenv.2024.170303.
[29] Liao J W, Goodrich J, Walker D I, et al. Metabolic pathways altered by air pollutant exposure in association with lipid profiles in young adults [J]. Environmental Pollution, 2023,327,doi:10.1016/j.envpol.2023.121522.
[30] 万雨勤,仝纪龙,刘永乐,等.基于XGBoost算法量化气象要素对兰州市主城区夏季臭氧浓度的影响 [J]. 环境科学, 2025,doi:10.13227/j. hjkx.202412038. Wan Y Q, Tong J L, Liu Y L, et al. Quantifying the influence of meteorological factors on summer ozone concentration in the main urban area of Lanzhou city based on the XGBoost algorithm [J]. Environmental Science, 2025,doi:10.13227/j.hjkx.202412038.
[31] 周恒左,廖 鹏,杨 宏,等.数值模式及机器学习对兰州市近地面臭氧模拟适用性 [J]. 中国环境科学, 2024,44(1):15-27. Zhou H Z, Liao P, Yang H, et al. The applicability of numerical model and machine learning for near-surface ozone simulation in Lanzhou City [J]. China Environmental Science, 2024,44(1):15-27.
[32] 赵 楠,卢毅敏.基于XGBoost算法的近地面臭氧浓度遥感估算 [J]. 环境科学学报, 2022,42(5):95-108. Zhao N, Lu Y M. Remote-sensing estimation of near-surface ozone concentration based on XGBoost [J]. Acta Scientiae Circumstantiae, 2022,42(5):95-108.
[33] Yang Y L, Shi M C, Liu B J, et al. Contribution of ecological restoration projects to long-term changes in PM2.5 [J]. Ecological Indicators, 2024,159,doi:10.1016/j.ecolind.2024.111630.
[34] Liu F F, Liu Y, Li X J, et al. The analysis of ozone pollution in urban agglomerations of the Sichuan basin based on the scale decomposition-synthesis method [J]. Environmental Research, 2025, 271,doi:10.1016/j.envres.2025.121121.
[35] Yin H, Lu X, Sun Y W, et al. Unprecedented decline in summertime surface ozone over eastern China in 2020 comparably attributable to anthropogenic emission reductions and meteorology [J]. Environmental Research Letters, 2021,16(12),doi:10.1088/1748-9326/ac3e22.
[36] 周 红,王 鸣,柴文轩,等.基于随机森林的北京城区臭氧敏感性分析 [J]. 环境科学, 2024,45(5):2497-2506. Zhou H, Wang M, Chai W X, et al. Ozone sensitivity analysis in urban Beijing based on random forest [J]. Environmental Science, 2024,45(5):2497-2506.
[37] Zhao C X, Lin Z J, Yang L F, et al. A study on the impact of meteorological and emission factors on PM2.5 concentrations based on machine learning [J]. Journal of Environmental Management, 2025,376,doi:10.1016/j.jenvman.2025.124347.
[38] Lyu Y, Xu H N, Wu H N, et al. Spatiotemporal variations of PM2.5 and ozone in urban agglomerations of China and meteorological drivers for ozone using explainable machine learning [J]. Environmental Pollution, 2025,365,doi:10.1016/j.envpol.2024.125380.
[39] 胡艳楠,李文星,张 智,等.2013~2020年京津冀地区臭氧浓度变化及其与气象因子关系分析 [J]. 气象与环境学报, 2024,40(4):90-99. Hu Y N, Li W X, Zhang Z, et al. Analysis of ozone concentration variations and their relationships with meteorological factors in the Beijing-Tianjin-Hebei region from 2013 to 2020 [J]. Journal of Meteorology and Environment, 2024,40(4):90-99.
[40] Yao T E, Ye H X, Wang Y Q, et al. Kolmogorov-Zurbenko filter coupled with machine learning to reveal multiple drivers of surface ozone pollution in China from 2015 to 2022 [J]. Science of the Total Environment, 2024,949,doi:10.1016/j.scitotenv.2024.175093.
[41] Yin C Q, Solmon F, Deng X J, et al. Geographical distribution of ozone seasonality over China [J]. Science of the Total Environment, 2019,689:625-633,doi:10.1016/j.scitotenv.2019.06.460.
[42] Ma Z Q, Xu J, Quan W J, et al. Significant increase of surface ozone at a rural site, north of eastern China [J]. Atmospheric Chemistry and Physics, 2016,16(6):3969-3977.
[43] Lee H M, Park R J. Factors determining the seasonal variation of ozone air quality in South Korea: Regional background versus domestic emission contributions [J]. Environmental Pollution, 2022, 308,doi:10.1016/j.envpol.2022.119645.
[44] Lappalainen H K, Sevanto S, Back J, et al. Day-time concentrations of biogenic volatile organic compounds in a boreal forest canopy and their relation to environmental and biological factors [J]. Atmospheric Chemistry and Physics, 2009,9(15):5447-5459.
[45] Su F C, Xu Q X, Yin S S, et al. Contributions of local emissions and regional background to summertime ozone in central China [J]. Journal of Environmental Management, 2023,338,doi:10.1016/j. jenvman.2023.117778.
[46] 刘静达,何 超,赵舒曼,等.七大区域不同温湿条件下臭氧浓度变化 [J]. 环境科学, 2023,44(10):5392-5399. Liu J D, He C, Zhao S M, et al. Variation of ozone concentration in seven regions under different temperature and humidity conditions [J]. Environmental Science, 2023,44(10):5392-5399.

基金

河南省科技攻关计划资助项目(252102320077,232102320130);国家自然科学基金项目(42371255);信阳师范大学“南湖学者奖励计划”青年项目

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