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To clarify the variation characteristics and causes of urban atmospheric CO₂ concentrations during heatwave periods, this study investigates Hangzhou—a typical city in the Yangtze River Delta—using the WRF-STILT atmospheric transport model, the EDGAR anthropogenic emission inventory, high-precision laser spectrometer observations, and a Bayesian optimization inversion algorithm. Results show that heatwaves significantly affect atmospheric CO₂ concentrations: daytime concentrations are lower, while nighttime concentrations are higher compared to non-heatwave periods. The spatial representativeness of measurement sites and changes in CO₂ emissions are the main factors influencing atmospheric CO₂ levels in Hangzhou. Heatwaves also lead to notable changes in spatial representativeness: during heatwaves, local emissions account for 80.5% of the observed CO₂ compared to only 51.6% during non-heatwave periods, and representative spatial range is smaller. In addition, CO₂ emissions from various anthropogenic sectors respond differently to heatwaves: emission from the manufacturing, energy, and refining and conversion sectors increase, while emissions from transportation decreases.

, authors=Zhong-hao YANG¹, Wei XIAO^{1, *}, Meng-jing ZHU², Chen HU³, Ning HU⁴, Ying YANG¹, Wen-jing HUANG¹, Meng SHAN², Xu-hui LEE⁵, authorsList=Zhong-hao YANG, Wei XIAO, Meng-jing ZHU, Chen HU, Ning HU, Ying YANG, Wen-jing HUANG, Meng SHAN, Xu-hui LEE, authorCompany=null, correspAuthors=Wei XIAO, 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=1314917486005411883, articleId=1314917484017311785, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=杭州市高温热浪时期大气CO₂浓度变化特征及解析, columnId=1234106388364981004, journalTitle=中国环境科学, columnName=大气污染与控制, runingTitle=null, highlight=null, articleAbstract=

为明晰高温热浪时期城市大气CO₂浓度的变化特征及原因，基于WRF-STILT大气传输模型、EDGAR人为源排放清单和高精度激光光谱分析仪的观测数据结合贝叶斯优化反演算法对长三角典型城市——杭州大气CO₂进行研究．结果表明，高温热浪对大气CO₂浓度产生显著影响：高温热浪期间的日间大气CO₂浓度低于非高温热浪时期，而夜间的CO₂浓度高于非高温热浪时期；观测站点的空间代表性和CO₂排放变化是影响杭州市大气CO₂浓度的主要原因；高温热浪使得大气CO₂浓度观测站点空间代表性产生显著差异：高温热浪使得局地排放占80.5%，而非高温热浪时期仅占51.6%，高温热浪时期空间代表范围较小；高温热浪时期不同人为源部门的CO₂排放表现出显著差异：制造业部门，能源部门和炼油转化部门CO₂排放水平在高温热浪时提高，运输部门在高温热浪期间的CO₂排放水平则有所降低．

, authors=杨钟昊¹, 肖薇^{1, *}, 朱梦晶², 胡诚³, 胡凝⁴, 杨樱¹, 黄文晶¹, 单萌², 李旭辉⁵, authorsList=杨钟昊, 肖薇, 朱梦晶, 胡诚, 胡凝, 杨樱, 黄文晶, 单萌, 李旭辉, authorCompany=null, correspAuthors=肖薇, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=48PjPUd91RJxjSYHhTTU1Q==, magXml=DU39ubEEX06qsfa17PCDZw==, pdfUrl=null, pdf=aVTHPvLiI0/sz9Nl4l/VTw==, pdfFileSize=3326866, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=ZDrCZo9xQyF1cvfieFWH3w==, mapNumber=null, fund=null)}, authors=[Author(id=1314917486772969532, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917484017311785, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=2421956278@qq.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314917486852661310, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917484017311785, authorId=1314917486772969532, language=EN, stringName=Zhong-hao YANG, firstName=Zhong-hao, middleName=null, lastName=YANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.Yale-NUIST Center on Atmospheric Environment, Key Laboratory of Ecosystem Carbon Source and Sink-China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314917486928158783, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917484017311785, authorId=1314917486772969532, language=CN, stringName=杨钟昊, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.南京信息工程大学，中国气象局生态系统碳源汇重点开放实验室，大气环境中心，江苏 南京 210044, bio={"content":"

杨钟昊（2001-），男，新疆乌鲁木齐人，南京信息工程大学硕士研究生，研究方向为城市温室气体观测与反演．2421956278@qq.com.

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杨钟昊（2001-），男，新疆乌鲁木齐人，南京信息工程大学硕士研究生，研究方向为城市温室气体观测与反演．2421956278@qq.com.

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