Article(id=1314918259636396904, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918247384834796, 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=1736092800000, receivedDateStr=2025-01-06, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430543096, onlineDateStr=2026-10-08, pubDate=1760889600000, pubDateStr=2025-10-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430543096, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430543096, creator=13701087609, updateTime=1791430543096, updator=13701087609, issue=Issue{id=1314918247384834796, tenantId=1146029695717560320, journalId=1234093305789726721, year='2025', volume='45', issue='10', pageStart='5329', pageEnd='5920', issueExtLink='null', onlineDate='null', pubDate='1760889600000', pubDateStr='2025-10-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791430540175, creator='13701087609', updateTime=1791431660009, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314922944367784036, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918247384834796, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314922944367784037, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918247384834796, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=5410, endPage=5421, ext={EN=ArticleExt(id=1314918259841917801, articleId=1314918259636396904, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Emission characteristics of biogenic volatile organic compounds and their contribution to ozone concentrations, columnId=1234106386020365051, journalTitle=China Environmental Science, columnName=Air Pollution Control, runingTitle=null, highlight=null, articleAbstract=

Biogenic volatile organic compounds (BVOCs) are important precursors of ozone (O3) formation. A rational understanding of the contribution of BVOCs to O3 pollution is highly significant for regional air quality and environmental management. This study estimated the BVOCs emission intensity and their contribution to O3 concentration in Shaanxi Province in 2023 based on the MEGANv3.2 and CMAQ models, combined with WRF-simulated meteorological fields and MODIS leaf area index (LAI) data. The results showed that: The WRF model accurately simulated temperature trends and radiation, meeting the requirements for regional meteorological input; but the reliability of wind speed and humidity simulations requires further improvement. The CMAQ-simulated O3 concentrations exhibited a significant correlation with measured values, though the overall concentrations were underestimated. After applying a regression-derived correction factor of 1.15, the simulated results aligned well with observations. The average BVOCs emission intensity across the province was 3.37t/(km2·a). High-emission areas were primarily distributed in the Qinba Mountains of southern Shaanxi (5.77t/(km2·a)) and the Qiaoshan and Huanglongshan areas of Yan'an (4.74t/(km2·a)), both of which are regions with high natural forest coverage. Low-emission areas were mainly located in the grassland regions of Yulin (0.46t/(km2·a)), the forest-steppe transition zone in northern Yan'an (0.97t/(km2·a)), and the Guanzhong Basin (2.21t/(km2·a)). BVOC emissions exhibited distinct monthly and diurnal variations, peaking in July (0.99t/km2) annually and at 14:00 (local time) daily with a maximum value of 98.65kg/km2. Isoprene (ISOP), monoterpenes (TERP), and sesquiterpenes (SESQ) were the main BVOC components, accounting for 37.39%, 28.49%, and 3.56%, respectively, with variation trends similar to total BVOCs. Trees and shrubs were the dominant sources, contributing 51% and 35%, respectively. In July, BVOCs contributed an average of 9.9% to the monthly mean maximum 8-hour O3 concentration in Shaanxi Province, with ISOP and TERP accounting for 60.5% and 14.8% of this contribution, respectively. In October, the average contribution of BVOCs to the monthly mean maximum 8-hour ozone concentration decreased to 3.1%.

, authors=Huan ZHANG1, Hui SHI1, 2, *, Hui-xia WANG1, Li-jun CHEN3, authorsList=Huan ZHANG, Hui SHI, Hui-xia WANG, Li-jun CHEN, authorCompany=null, correspAuthors=Hui SHI, 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=1314918260211016554, articleId=1314918259636396904, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=植物源挥发性有机化合物的排放特征及其对臭氧浓度的贡献, columnId=1234106388364981004, journalTitle=中国环境科学, columnName=大气污染与控制, runingTitle=null, highlight=null, articleAbstract=

植物源挥发性有机化合物(BVOCs)是形成臭氧(O3)的重要前驱物质,合理认识BVOCs对臭氧污染的贡献,对区域空气质量及环境管理具有重要意义,因此,本研究基于MEGANv3.2和CMAQ模型,结合WRF模拟气象场及MODIS叶面积指数(LAI)数据,估算了2023年陕西省域的BVOCs排放强度以及其对臭氧浓度的贡献.结果表明:WRF模拟的气温趋势和辐射精度满足区域气象输入需求,风速和湿度的可靠性尚需提升;CMAQ模拟的臭氧浓度与实测值具有显著相关性,但整体浓度偏低,经回归关系得到的修正系数1.15修正后与实测结果吻合.全省总BVOCs的平均排放强度为3.37t/(km2·a),高值区主要分布于陕南秦巴山区(5.77t/(km2·a))及延安市桥山和黄龙山(4.74t/(km2·a))等森林覆盖度高的天然林分布区;低值区主要位于榆林区域的草原地带(0.46t/(km2·a))、延安北部的森林草原过渡区域(0.97t/(km2·a))及关中盆地区域(2.21t/(km2·a)).BVOCs的排放强度具有明显的月变化和日变化特征.在年内7月份达到最高为0.99t/km2;在日内午时14:00达到最高为98.65kg/km2.异戊二烯(ISOP)、单萜烯(TERP)和倍半萜烯(SESQ)是BVOCs的主要组分,分别占37.39%、28.49%和3.56%;其变化趋势与BVOCs相似.乔木和灌木是BVOCs的主要来源,分别贡献了51%和35%.7月BVOCs对陕西省域月均最大8h臭氧浓度的平均贡献率为9.9%,其中,异戊二烯和单萜烯分别占BVOCs贡献的60.5%和14.8%;10月BVOCs对月均最大8h臭氧浓度的平均贡献率降至3.1%.

, authors=张欢1, 石辉1, 2, *, 王会霞1, 陈立军3, authorsList=张欢, 石辉, 王会霞, 陈立军, authorCompany=null, correspAuthors=石辉, authorNote=

张欢(2001-),女,陕西咸阳人,西安建筑科技大学硕士研究生,主要从事环境生态方面研究..

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* 责任作者,教授,
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张欢(2001-),女,陕西咸阳人,西安建筑科技大学硕士研究生,主要从事环境生态方面研究..

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张欢(2001-),女,陕西咸阳人,西安建筑科技大学硕士研究生,主要从事环境生态方面研究..

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植物源挥发性有机化合物的排放特征及其对臭氧浓度的贡献
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张欢 1 , 石辉 1, 2, * , 王会霞 1 , 陈立军 3
中国环境科学 | 大气污染与控制 2025,45(10): 5410-5421
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中国环境科学 |大气污染与控制 2025 , 45 (10) : 5410 -5421
植物源挥发性有机化合物的排放特征及其对臭氧浓度的贡献
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张欢1 , 石辉1, 2, * , 王会霞1, 陈立军3
作者信息
  • 1.西安建筑科技大学环境与市政工程学院,陕西 西安 710055
  • 2.西安建筑科技大学交叉创新研究院,陕西 西安 710055
  • 3.渭南市桥山生态环境保护中心,陕西 渭南 714000
通讯作者:
* 责任作者,教授,
作者简介:

张欢(2001-),女,陕西咸阳人,西安建筑科技大学硕士研究生,主要从事环境生态方面研究..

Emission characteristics of biogenic volatile organic compounds and their contribution to ozone concentrations
Huan ZHANG1 , Hui SHI1, 2, * , Hui-xia WANG1, Li-jun CHEN3
Affiliations
  • 1.School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
  • 2.Institute for Interdisciplinary and Innovate Research, Xi'an University of Architecture and Technology, Xi'an 710055, China
  • 3.Qiaoshan Ecological and Environmental Protection Center, Weinan 714000, China
出版时间: 2025-10-20
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植物源挥发性有机化合物(BVOCs)是形成臭氧(O3)的重要前驱物质,合理认识BVOCs对臭氧污染的贡献,对区域空气质量及环境管理具有重要意义,因此,本研究基于MEGANv3.2和CMAQ模型,结合WRF模拟气象场及MODIS叶面积指数(LAI)数据,估算了2023年陕西省域的BVOCs排放强度以及其对臭氧浓度的贡献.结果表明:WRF模拟的气温趋势和辐射精度满足区域气象输入需求,风速和湿度的可靠性尚需提升;CMAQ模拟的臭氧浓度与实测值具有显著相关性,但整体浓度偏低,经回归关系得到的修正系数1.15修正后与实测结果吻合.全省总BVOCs的平均排放强度为3.37t/(km2·a),高值区主要分布于陕南秦巴山区(5.77t/(km2·a))及延安市桥山和黄龙山(4.74t/(km2·a))等森林覆盖度高的天然林分布区;低值区主要位于榆林区域的草原地带(0.46t/(km2·a))、延安北部的森林草原过渡区域(0.97t/(km2·a))及关中盆地区域(2.21t/(km2·a)).BVOCs的排放强度具有明显的月变化和日变化特征.在年内7月份达到最高为0.99t/km2;在日内午时14:00达到最高为98.65kg/km2.异戊二烯(ISOP)、单萜烯(TERP)和倍半萜烯(SESQ)是BVOCs的主要组分,分别占37.39%、28.49%和3.56%;其变化趋势与BVOCs相似.乔木和灌木是BVOCs的主要来源,分别贡献了51%和35%.7月BVOCs对陕西省域月均最大8h臭氧浓度的平均贡献率为9.9%,其中,异戊二烯和单萜烯分别占BVOCs贡献的60.5%和14.8%;10月BVOCs对月均最大8h臭氧浓度的平均贡献率降至3.1%.

植物源挥发性有机化合物  /  臭氧  /  MEGAN模型  /  CMAQ模型  /  陕西

Biogenic volatile organic compounds (BVOCs) are important precursors of ozone (O3) formation. A rational understanding of the contribution of BVOCs to O3 pollution is highly significant for regional air quality and environmental management. This study estimated the BVOCs emission intensity and their contribution to O3 concentration in Shaanxi Province in 2023 based on the MEGANv3.2 and CMAQ models, combined with WRF-simulated meteorological fields and MODIS leaf area index (LAI) data. The results showed that: The WRF model accurately simulated temperature trends and radiation, meeting the requirements for regional meteorological input; but the reliability of wind speed and humidity simulations requires further improvement. The CMAQ-simulated O3 concentrations exhibited a significant correlation with measured values, though the overall concentrations were underestimated. After applying a regression-derived correction factor of 1.15, the simulated results aligned well with observations. The average BVOCs emission intensity across the province was 3.37t/(km2·a). High-emission areas were primarily distributed in the Qinba Mountains of southern Shaanxi (5.77t/(km2·a)) and the Qiaoshan and Huanglongshan areas of Yan'an (4.74t/(km2·a)), both of which are regions with high natural forest coverage. Low-emission areas were mainly located in the grassland regions of Yulin (0.46t/(km2·a)), the forest-steppe transition zone in northern Yan'an (0.97t/(km2·a)), and the Guanzhong Basin (2.21t/(km2·a)). BVOC emissions exhibited distinct monthly and diurnal variations, peaking in July (0.99t/km2) annually and at 14:00 (local time) daily with a maximum value of 98.65kg/km2. Isoprene (ISOP), monoterpenes (TERP), and sesquiterpenes (SESQ) were the main BVOC components, accounting for 37.39%, 28.49%, and 3.56%, respectively, with variation trends similar to total BVOCs. Trees and shrubs were the dominant sources, contributing 51% and 35%, respectively. In July, BVOCs contributed an average of 9.9% to the monthly mean maximum 8-hour O3 concentration in Shaanxi Province, with ISOP and TERP accounting for 60.5% and 14.8% of this contribution, respectively. In October, the average contribution of BVOCs to the monthly mean maximum 8-hour ozone concentration decreased to 3.1%.

biogenic volatile organic compounds (BVOCs)  /  ozone (O3)  /  MEGAN  /  CMAQ  /  Shaanxi province
张欢, 石辉, 王会霞, 陈立军. 植物源挥发性有机化合物的排放特征及其对臭氧浓度的贡献. 中国环境科学, 2025 , 45 (10) : 5410 -5421 .
Huan ZHANG, Hui SHI, Hui-xia WANG, Li-jun CHEN. Emission characteristics of biogenic volatile organic compounds and their contribution to ozone concentrations[J]. China Environmental Science, 2025 , 45 (10) : 5410 -5421 .
  • 陕西省环境介质痕量污染物监测预警重点实验室项目(SHJKFJJ202314)
  • 陕西省自然科学基础研究计划项目(2023-JC-YB-172)
  • 西安建筑科技大学前沿交叉领域培育专项(X20220071)
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  • 接收时间:2025-01-06
  • 首发时间:2026-10-08
  • 出版时间:2025-10-20
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  • 收稿日期:2025-01-06
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陕西省环境介质痕量污染物监测预警重点实验室项目(SHJKFJJ202314)
陕西省自然科学基础研究计划项目(2023-JC-YB-172)
西安建筑科技大学前沿交叉领域培育专项(X20220071)
作者信息
    1.西安建筑科技大学环境与市政工程学院,陕西 西安 710055
    2.西安建筑科技大学交叉创新研究院,陕西 西安 710055
    3.渭南市桥山生态环境保护中心,陕西 渭南 714000

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