Article(id=1314921975156404456, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314921940238828053, 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=1758816000000, receivedDateStr=2025-09-26, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791431428945, onlineDateStr=2026-10-08, pubDate=1768838400000, pubDateStr=2026-01-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791431428945, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791431428945, creator=13701087609, updateTime=1791431428945, updator=13701087609, issue=Issue{id=1314921940238828053, tenantId=1146029695717560320, journalId=1234093305789726721, year='2026', volume='46', issue='1', pageStart='1', pageEnd='592', issueExtLink='null', onlineDate='null', pubDate='1768838400000', pubDateStr='2026-01-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791431420621, creator='13701087609', updateTime=1791431552947, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314922495317210104, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314921940238828053, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314922495317210105, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314921940238828053, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=503, endPage=514, ext={EN=ArticleExt(id=1314921975336759529, articleId=1314921975156404456, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Analysis of meteorological drivers during the explosive growth process of airborne allergenic pollen, columnId=1234106388687934088, journalTitle=China Environmental Science, columnName=Environmental Toxicology and Environmental Health, runingTitle=null, highlight=null, articleAbstract=

Meteorology is a known driver of pollen concentrations, using Yulin City in Shaanxi Province—a hotspot for pollen allergies in China—as a case study, this research integrates 2019~2021 pollen concentration data and meteorological observations. Through statistical analysis and synoptic diagnosis, we investigate the meteorological drivers of an explosive pollen surge from August 4~7, 2021. Key findings reveal:Pollen concentrations in Yulin show a clear bimodal seasonality with spring and autumn peaks. Anther dehiscence in Artemisia ordosica is triggered by rising temperature and low huidity, with winds of 1.5~3.0m/s being optimal for dispersal. Enhanced near-surface winds during the event facilitated local dispersion, but shifting wind directions impeded stable transport pathways, promoting localized accumulation. Synoptic diagnosis shows that a transition from upper-level through to a ridge, combined with mid-low-level anticyclonic activity, was critical. This pattern promoted subsidence, which suppresses atmospheric diffusion by reducing boundary-layer height and forming temperature inversions. Total cloud cover modulates surface radiation budgets and vertical motions, thereby influencing boundary-layer thermal structure. The key driver of the diurnal peaks was the synergy between periods of low cloud cover (<2oktas) and boundary-layer compression.

, authors=Zhi-yi HU1, Zhao-bin SUN2, *, Yu ZHANG1, *, Han ZHANG1, Feng MA3, Yong ZHANG4, Yuan TANG1, authorsList=Zhi-yi HU, Zhao-bin SUN, Yu ZHANG, Han ZHANG, Feng MA, Yong ZHANG, Yuan TANG, authorCompany=null, correspAuthors=Zhao-bin SUN, Yu ZHANG, 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=1314921975655526636, articleId=1314921975156404456, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=气传致敏花粉爆发性增长过程的气象成因分析, columnId=1234106394006311784, journalTitle=中国环境科学, columnName=环境毒理与健康, runingTitle=null, highlight=null, articleAbstract=

气象条件对花粉浓度具有显著影响,本研究以我国花粉发病率最高的城市之一——陕西省榆林市为例,使用2019~2021年花粉浓度数据、气象数据,采用统计分析和天气学诊断的方法,分析了2021年8月4~7日榆林市一次花粉浓度爆发性增长过程的气象成因.结果表明:榆林市花粉浓度变化具有典型的季节性特征,呈现春秋两季双峰型.温度升高与低湿度环境共同触发沙蒿花药开裂,而1.5~3.0m/s风速区间有利于花粉扩散效率.研究时段内较大的近地面风速为花粉局地扩散提供了动力条件,但多变的风向阻碍了稳定传输通道的形成,造成花粉累积.就环流形势而言,高空槽脊转换与中低层反气旋活动是花粉累积的关键动力条件,下沉运动通过降低边界层高度及形成逆温层显著抑制大气扩散能力.总云量通过调控地表辐射收支与垂直运动,进一步影响边界层热力结构,低云量时段与边界层压缩的协同是浓度日累积高峰形成的关键气象因素.

, authors=胡祉懿1, 孙兆彬2, *, 张宇1, *, 张涵1, 马锋3, 张勇4, 唐源1, authorsList=胡祉懿, 孙兆彬, 张宇, 张涵, 马锋, 张勇, 唐源, authorCompany=null, correspAuthors=孙兆彬, 张宇, authorNote=

胡祉懿(2003-),女,江西南昌人,香港城市大学硕士研究生,主要从事花粉扩散研究.发表论文1篇..

, correspAuthorsNote=
* 责任作者:孙兆彬,研究员,
张宇,副教授,
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胡祉懿(2003-),女,江西南昌人,香港城市大学硕士研究生,主要从事花粉扩散研究.发表论文1篇..

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胡祉懿(2003-),女,江西南昌人,香港城市大学硕士研究生,主要从事花粉扩散研究.发表论文1篇..

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气传致敏花粉爆发性增长过程的气象成因分析
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胡祉懿 1 , 孙兆彬 2, * , 张宇 1, * , 张涵 1 , 马锋 3 , 张勇 4 , 唐源 1
中国环境科学 | 环境毒理与健康 2026,46(1): 503-514
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中国环境科学 |环境毒理与健康 2026 , 46 (1) : 503 -514
气传致敏花粉爆发性增长过程的气象成因分析
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胡祉懿(2003-),女,江西南昌人,香港城市大学硕士研究生,主要从事花粉扩散研究.发表论文1篇..

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胡祉懿(2003-),女,江西南昌人,香港城市大学硕士研究生,主要从事花粉扩散研究.发表论文1篇..

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胡祉懿1 , 孙兆彬2, * , 张宇1, * , 张涵1, 马锋3, 张勇4, 唐源1
作者信息
  • 1.广东海洋大学海洋与气象学院,广东 湛江 524090
  • 2.中国气象科学研究院(CAMS),灾害天气科学与技术全国重点实验室(LASW),北京 100081
  • 3.榆林市气象局,陕西 榆林 719000
  • 4.富景天测(北京)科技有限公司,北京 100094
通讯作者:
* 责任作者:孙兆彬,研究员,
张宇,副教授,
作者简介:

胡祉懿(2003-),女,江西南昌人,香港城市大学硕士研究生,主要从事花粉扩散研究.发表论文1篇..

Analysis of meteorological drivers during the explosive growth process of airborne allergenic pollen
Zhi-yi HU1 , Zhao-bin SUN2, * , Yu ZHANG1, * , Han ZHANG1, Feng MA3, Yong ZHANG4, Yuan TANG1
Affiliations
  • 1.College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524090, China
  • 2.State Key Laboratory of Severe Weather (LASW), Chinese Academy of Meteorological Sciences (CAMS), China Meteorological Administration, Beijing 100081, China
  • 3.Yulin Meteorological Bureau, Yulin 719000, China
  • 4.Future Weather(Beijing) Technology Group Ltd, Beijing 100094, China
出版时间: 2026-01-20
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气象条件对花粉浓度具有显著影响,本研究以我国花粉发病率最高的城市之一——陕西省榆林市为例,使用2019~2021年花粉浓度数据、气象数据,采用统计分析和天气学诊断的方法,分析了2021年8月4~7日榆林市一次花粉浓度爆发性增长过程的气象成因.结果表明:榆林市花粉浓度变化具有典型的季节性特征,呈现春秋两季双峰型.温度升高与低湿度环境共同触发沙蒿花药开裂,而1.5~3.0m/s风速区间有利于花粉扩散效率.研究时段内较大的近地面风速为花粉局地扩散提供了动力条件,但多变的风向阻碍了稳定传输通道的形成,造成花粉累积.就环流形势而言,高空槽脊转换与中低层反气旋活动是花粉累积的关键动力条件,下沉运动通过降低边界层高度及形成逆温层显著抑制大气扩散能力.总云量通过调控地表辐射收支与垂直运动,进一步影响边界层热力结构,低云量时段与边界层压缩的协同是浓度日累积高峰形成的关键气象因素.

气传花粉  /  爆发性  /  气象因素  /  下沉运动  /  逆温

Meteorology is a known driver of pollen concentrations, using Yulin City in Shaanxi Province—a hotspot for pollen allergies in China—as a case study, this research integrates 2019~2021 pollen concentration data and meteorological observations. Through statistical analysis and synoptic diagnosis, we investigate the meteorological drivers of an explosive pollen surge from August 4~7, 2021. Key findings reveal:Pollen concentrations in Yulin show a clear bimodal seasonality with spring and autumn peaks. Anther dehiscence in Artemisia ordosica is triggered by rising temperature and low huidity, with winds of 1.5~3.0m/s being optimal for dispersal. Enhanced near-surface winds during the event facilitated local dispersion, but shifting wind directions impeded stable transport pathways, promoting localized accumulation. Synoptic diagnosis shows that a transition from upper-level through to a ridge, combined with mid-low-level anticyclonic activity, was critical. This pattern promoted subsidence, which suppresses atmospheric diffusion by reducing boundary-layer height and forming temperature inversions. Total cloud cover modulates surface radiation budgets and vertical motions, thereby influencing boundary-layer thermal structure. The key driver of the diurnal peaks was the synergy between periods of low cloud cover (<2oktas) and boundary-layer compression.

airborne pollen  /  explosive growth  /  meteorological factors  /  sinking movement  /  inversion temperature
胡祉懿, 孙兆彬, 张宇, 张涵, 马锋, 张勇, 唐源. 气传致敏花粉爆发性增长过程的气象成因分析. 中国环境科学, 2026 , 46 (1) : 503 -514 .
Zhi-yi HU, Zhao-bin SUN, Yu ZHANG, Han ZHANG, Feng MA, Yong ZHANG, Yuan TANG. Analysis of meteorological drivers during the explosive growth process of airborne allergenic pollen[J]. China Environmental Science, 2026 , 46 (1) : 503 -514 .
  • 中国气象局创新发展专项重点项目(CXFZ2025J074)
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  • 接收时间:2025-09-26
  • 首发时间:2026-10-08
  • 出版时间:2026-01-20
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  • 收稿日期:2025-09-26
基金
中国气象局创新发展专项重点项目(CXFZ2025J074)
作者信息
    1.广东海洋大学海洋与气象学院,广东 湛江 524090
    2.中国气象科学研究院(CAMS),灾害天气科学与技术全国重点实验室(LASW),北京 100081
    3.榆林市气象局,陕西 榆林 719000
    4.富景天测(北京)科技有限公司,北京 100094

通讯作者:

* 责任作者:孙兆彬,研究员,
张宇,副教授,
参考文献
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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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