Article(id=1314917636669005888, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917567911788907, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1740067200000, receivedDateStr=2025-02-21, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430394570, onlineDateStr=2026-10-08, pubDate=1758297600000, pubDateStr=2025-09-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430394570, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430394570, creator=13701087609, updateTime=1791430394570, updator=13701087609, issue=Issue{id=1314917567911788907, tenantId=1146029695717560320, journalId=1234093305789726721, year='2025', volume='45', issue='9', pageStart='4737', pageEnd='5328', issueExtLink='null', onlineDate='null', pubDate='1758297600000', pubDateStr='2025-09-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791430378177, creator='13701087609', updateTime=1791431890195, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314923910001418489, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917567911788907, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314923910001418490, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917567911788907, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=4749, endPage=4761, ext={EN=ArticleExt(id=1314917637054881859, articleId=1314917636669005888, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=The long-term variation and influencing factors of near-surface ozone in major cities in the northern slope area of Tianshan Mountains, Xinjiang during 2018~2023, columnId=1241049967662518582, journalTitle=China Environmental Science, columnName=Ozone Pollution Control, runingTitle=null, highlight=null, articleAbstract=

This study investigates the relative contributions of anthropogenic and meteorological factors to ozone (O3) variations in major cities on the northern slope of the Tianshan Mountains (Urumqi, Changji, Shihezi, Wujiaqu) from 2018 to 2023 using a stepwise multiple linear regression (MLR) model. Based on OMI satellite data (HCHO and NO2 tropospheric column concentrations) and ground-based observation data (O3 and NO2), the fractional nucleation rate (FNR) threshold for the northern slope of the Tianshan Mountains was determined. The study highlights regional differences, seasonal patterns, and variations in the sensitivity of precursor substances. The results indicate that O3 on the northern slope of the Tianshan Mountains generally exhibited a fluctuating upward trend, with an annual average concentration of 86.97μg/m3, and the O3 concentration in the warm season (107.63μg/m3) was higher than that in the cold season (66.31μg/m3). The O3 concentration decreased to its lowest level (86.71μg/m3) in 2020 attributed to the decreased emissions resulting from the pandemic. The annual growth rates varied significantly among the cities, with Changji at 3.87μg/(m3·a) and Shihezi at 1.51μg/(m3·a). Meteorological factors have a significant impact on O3 concentration variations, with temperature and humidity as key factors. The contribution rates of meteorological factors in Urumqi and Wujiaqu were higher (50% and 60%, respectively), while those in Changji and Shihezi were lower (29% and 44%, respectively). The NO2 column concentration showed a downward trend (annual decrease rate of 0.22 × 1015 molec/(cm2·a)), while the HCHO column concentration remained relatively stable, indicating that VOCs emissions may have increased. FNR analysis indicates that the ozone formation sensitivity (OFS) threshold was as follows: when FNR < 1.75, ozone formation was controlled by VOCs; when FNR > 3.67, ozone formation was controlled by NOx; and when 1.75 < FNR < 3.67, it is in a transitional state. During the warm season (April to September), the sensitivity of O3 photochemical production was mainly controlled by NOx. This study reveals the spatiotemporal variation characteristics of O3 formation and precursor sensitivities in the northern slope area of the Tianshan Mountains, providing scientific guidance for the development of more precise O3 pollution control strategies.

, authors=Kun ZHENG1, 2, Chun-mei GENG1, Wan-yue DENG3, Xue-yan ZHAO1, Li-ping WU2, Chao GU3, Wen YANG1, *, authorsList=Kun ZHENG, Chun-mei GENG, Wan-yue DENG, Xue-yan ZHAO, Li-ping WU, Chao GU, Wen YANG, authorCompany=null, correspAuthors=Wen YANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1314917639336583237, articleId=1314917636669005888, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=2018~2023年新疆天山北坡主要城市近地面臭氧的长期变化及其影响因素, columnId=1241049969449292093, journalTitle=中国环境科学, columnName=臭氧污染与控制, runingTitle=null, highlight=null, articleAbstract=

通过逐步多元线性回归(MLR)模型研究了2018~2023年新疆天山北坡主要城市(乌鲁木齐市、昌吉市、石河子市、五家渠市)人为排放与气象因素对臭氧(O3)变化的相对贡献,并基于OMI卫星数据(HCHO和NO2对流层柱浓度)与地面观测数据(O3和NO2)确定了天山北坡地区的FNR(ratio of the tropospheric columns of formaldehyde to nitrogen dioxide)阈值,揭示了区域性差异、季节性特征和前体物敏感性变化规律.结果表明,天山北坡地区O3整体呈波动上升趋势,年均值为86.97μg/m3,其中暖季(107.63μg/m3)高于冷季(66.31μg/m3),2020年因疫情导致排放减少,O3浓度降至最低(86.72μg/m3).各城市年增长速率差异明显,昌吉市为3.87μg/(m3·a),石河子市为1.51μg/(m3·a).气象因素对O3浓度变化具有显著影响,其中温度和湿度为关键因素.乌鲁木齐市和五家渠市的气象因素贡献较高(分别为50%和60%),而昌吉市和石河子市的贡献较低(分别为29%和44%).NO2柱浓度呈现下降趋势(年下降速率为0.22×1015molec/(cm2·a)),而HCHO柱浓度保持相对稳定,表明VOCs排放可能有所增加.FNR值分析结果表明,O3生成敏感性(OFS)阈值为:FNR < 1.75时,臭氧生成受VOCs控制;FNR > 3.67时,O3生成受NOx控制;1.75 < FNR < 3.67为过渡状态.暖季(4~9月),O3光化学产生的敏感性主要受NOx控制.本研究揭示了天山北坡地区O3生成的时空变化特征和前体物敏感性规律,为制定更加精准的O3污染控制策略提供了科学依据.

, authors=郑坤1, 2, 耿春梅1, 邓婉月3, 赵雪艳1, 吴丽萍2, 谷超3, 杨文1, *, authorsList=郑坤, 耿春梅, 邓婉月, 赵雪艳, 吴丽萍, 谷超, 杨文, authorCompany=null, correspAuthors=杨文, authorNote=

郑坤(1999-),男,安徽安庆人,硕士研究生,主要研究方向为臭氧污染成因.发表论文1篇..

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* 责任作者,研究员,
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郑坤(1999-),男,安徽安庆人,硕士研究生,主要研究方向为臭氧污染成因.发表论文1篇..

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郑坤(1999-),男,安徽安庆人,硕士研究生,主要研究方向为臭氧污染成因.发表论文1篇..

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2018~2023年新疆天山北坡主要城市近地面臭氧的长期变化及其影响因素
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郑坤 1, 2 , 耿春梅 1 , 邓婉月 3 , 赵雪艳 1 , 吴丽萍 2 , 谷超 3 , 杨文 1, *
中国环境科学 | 臭氧污染与控制 2025,45(9): 4749-4761
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中国环境科学 |臭氧污染与控制 2025 , 45 (9) : 4749 -4761
2018~2023年新疆天山北坡主要城市近地面臭氧的长期变化及其影响因素
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郑坤1, 2 , 耿春梅1, 邓婉月3, 赵雪艳1, 吴丽萍2, 谷超3, 杨文1, *
作者信息
  • 1.中国环境科学研究院,北京 100012
  • 2.天津城建大学环境与市政工程学院,天津 300384
  • 3.新疆维吾尔自治区生态环境监测总站,新疆 乌鲁木齐 830000
通讯作者:
* 责任作者,研究员,
作者简介:

郑坤(1999-),男,安徽安庆人,硕士研究生,主要研究方向为臭氧污染成因.发表论文1篇..

The long-term variation and influencing factors of near-surface ozone in major cities in the northern slope area of Tianshan Mountains, Xinjiang during 2018~2023
Kun ZHENG1, 2 , Chun-mei GENG1, Wan-yue DENG3, Xue-yan ZHAO1, Li-ping WU2, Chao GU3, Wen YANG1, *
Affiliations
  • 1.China Academy of Environmental Sciences, Beijing 100012, China
  • 2.School of Environmental and Municipal Engineering, Tianjin Chengjian University, Tianjin 300384, China
  • 3.Xinjiang Uygur Autonomous Region Ecological and Environmental Monitoring General Station, Urumqi 830000, China
出版时间: 2025-09-20
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通过逐步多元线性回归(MLR)模型研究了2018~2023年新疆天山北坡主要城市(乌鲁木齐市、昌吉市、石河子市、五家渠市)人为排放与气象因素对臭氧(O3)变化的相对贡献,并基于OMI卫星数据(HCHO和NO2对流层柱浓度)与地面观测数据(O3和NO2)确定了天山北坡地区的FNR(ratio of the tropospheric columns of formaldehyde to nitrogen dioxide)阈值,揭示了区域性差异、季节性特征和前体物敏感性变化规律.结果表明,天山北坡地区O3整体呈波动上升趋势,年均值为86.97μg/m3,其中暖季(107.63μg/m3)高于冷季(66.31μg/m3),2020年因疫情导致排放减少,O3浓度降至最低(86.72μg/m3).各城市年增长速率差异明显,昌吉市为3.87μg/(m3·a),石河子市为1.51μg/(m3·a).气象因素对O3浓度变化具有显著影响,其中温度和湿度为关键因素.乌鲁木齐市和五家渠市的气象因素贡献较高(分别为50%和60%),而昌吉市和石河子市的贡献较低(分别为29%和44%).NO2柱浓度呈现下降趋势(年下降速率为0.22×1015molec/(cm2·a)),而HCHO柱浓度保持相对稳定,表明VOCs排放可能有所增加.FNR值分析结果表明,O3生成敏感性(OFS)阈值为:FNR < 1.75时,臭氧生成受VOCs控制;FNR > 3.67时,O3生成受NOx控制;1.75 < FNR < 3.67为过渡状态.暖季(4~9月),O3光化学产生的敏感性主要受NOx控制.本研究揭示了天山北坡地区O3生成的时空变化特征和前体物敏感性规律,为制定更加精准的O3污染控制策略提供了科学依据.

臭氧(O3)  /  气象因素  /  多元线性回归  /  FNR  /  O3生成敏感性

This study investigates the relative contributions of anthropogenic and meteorological factors to ozone (O3) variations in major cities on the northern slope of the Tianshan Mountains (Urumqi, Changji, Shihezi, Wujiaqu) from 2018 to 2023 using a stepwise multiple linear regression (MLR) model. Based on OMI satellite data (HCHO and NO2 tropospheric column concentrations) and ground-based observation data (O3 and NO2), the fractional nucleation rate (FNR) threshold for the northern slope of the Tianshan Mountains was determined. The study highlights regional differences, seasonal patterns, and variations in the sensitivity of precursor substances. The results indicate that O3 on the northern slope of the Tianshan Mountains generally exhibited a fluctuating upward trend, with an annual average concentration of 86.97μg/m3, and the O3 concentration in the warm season (107.63μg/m3) was higher than that in the cold season (66.31μg/m3). The O3 concentration decreased to its lowest level (86.71μg/m3) in 2020 attributed to the decreased emissions resulting from the pandemic. The annual growth rates varied significantly among the cities, with Changji at 3.87μg/(m3·a) and Shihezi at 1.51μg/(m3·a). Meteorological factors have a significant impact on O3 concentration variations, with temperature and humidity as key factors. The contribution rates of meteorological factors in Urumqi and Wujiaqu were higher (50% and 60%, respectively), while those in Changji and Shihezi were lower (29% and 44%, respectively). The NO2 column concentration showed a downward trend (annual decrease rate of 0.22 × 1015 molec/(cm2·a)), while the HCHO column concentration remained relatively stable, indicating that VOCs emissions may have increased. FNR analysis indicates that the ozone formation sensitivity (OFS) threshold was as follows: when FNR < 1.75, ozone formation was controlled by VOCs; when FNR > 3.67, ozone formation was controlled by NOx; and when 1.75 < FNR < 3.67, it is in a transitional state. During the warm season (April to September), the sensitivity of O3 photochemical production was mainly controlled by NOx. This study reveals the spatiotemporal variation characteristics of O3 formation and precursor sensitivities in the northern slope area of the Tianshan Mountains, providing scientific guidance for the development of more precise O3 pollution control strategies.

ozone (O3)  /  meteorological factor  /  multiple linear regression  /  FNR  /  O3 formation sensitivity
郑坤, 耿春梅, 邓婉月, 赵雪艳, 吴丽萍, 谷超, 杨文. 2018~2023年新疆天山北坡主要城市近地面臭氧的长期变化及其影响因素. 中国环境科学, 2025 , 45 (9) : 4749 -4761 .
Kun ZHENG, Chun-mei GENG, Wan-yue DENG, Xue-yan ZHAO, Li-ping WU, Chao GU, Wen YANG. The long-term variation and influencing factors of near-surface ozone in major cities in the northern slope area of Tianshan Mountains, Xinjiang during 2018~2023[J]. China Environmental Science, 2025 , 45 (9) : 4749 -4761 .
  • 大气重污染成因与治理攻关项目(DQGG202137)
  • 新疆重污染天气应急管控能力建设项目(GK2022-137)
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  • 接收时间:2025-02-21
  • 首发时间:2026-10-08
  • 出版时间:2025-09-20
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  • 收稿日期:2025-02-21
基金
大气重污染成因与治理攻关项目(DQGG202137)
新疆重污染天气应急管控能力建设项目(GK2022-137)
作者信息
    1.中国环境科学研究院,北京 100012
    2.天津城建大学环境与市政工程学院,天津 300384
    3.新疆维吾尔自治区生态环境监测总站,新疆 乌鲁木齐 830000

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2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
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