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Jiangsu Province—one of China's major rice-producing regions—was selected as the research area. A high-precision CH₄ observation system was established at a height of 50m in Taizhou City, central Jiangsu, and the period from 20^th May to 31^st October 2023, covering the local rice-growing season, was used for analysis. Paddy CH₄ flux was retrieved at a 10d scale by coupling an atmospheric transport model with an optimized inversion framework. The main findings are as follows: (1) The "bottom-up" approach based EDGAR prior inventory exhibited neither distinct temporal variability nor emission peaks for paddy CH₄ fluxes, inconsistent with the observed peak emissions during the tillering-booting stage in July~August in Jiangsu, which should be constrained and calibrated by using atmospheric CH₄ observations. (2) Inversions revealed that both Taizhou City and Jiangsu Province experienced peak CH₄ emissions in early to mid-August, followed by a gradual decline. The peak fluxes reached (966.6 ± 104.6) mg/(m²·d) and (1182.9 ± 128.0) mg/(m²·d), respectively, which were (3.27 ± 0.35) times higher than the prior estimates. (3) Over the entire study period, the posterior mean paddy CH₄ flux for Taizhou and Jiangsu were (307.3 ± 40.5) mg CH₄/(m²·d) and (376.7 ± 49.7) mg CH₄/(m²·d), respectively, (1.37 ± 0.18) times the prior values. These results indicate that the prior inventory substantially underestimated both the magnitude and temporal variation of paddy CH₄ emissions.

, authors=Wen-wu YANG¹, Ting PENG¹, Ying WU¹, Yu-xiang WANG¹, Jun ZHU¹, Mei-ling ZHAO¹, Yi-fan ZHANG², Xue-jing SHI², Wei XIAO³, Cheng HU^{2, 3, *}, authorsList=Wen-wu YANG, Ting PENG, Ying WU, Yu-xiang WANG, Jun ZHU, Mei-ling ZHAO, Yi-fan ZHANG, Xue-jing SHI, Wei XIAO, Cheng HU, authorCompany=null, correspAuthors=Cheng HU, 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=1314923002794438872, articleId=1314923002010104022, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=基于大气浓度观测的区域尺度稻田CH₄排放量反演, columnId=1234106388364981004, journalTitle=中国环境科学, columnName=大气污染与控制, runingTitle=null, highlight=null, articleAbstract=

选取我国水稻主产区之一的江苏为研究区域，在位于江苏中部的泰州市建立50m高度的高精度大气CH₄浓度观测系统，并选取覆盖当地水稻种植期的2023年5月20日~10月31日为研究时段，通过耦合大气传输模型和优化的反演方法，在10d（旬）尺度上开展了稻田CH₄通量反演．结果表明，（1）基于自下而上方法的EDGAR先验排放清单没有明显的稻田CH₄通量时间变化特征，且不存在CH₄排放峰值，这与江苏省稻田CH₄排放在7~8月分蘖-孕穗期达到峰值不符，需要基于CH₄浓度观测进行订正和反演．（2）基于高塔浓度观测的反演结果表明，无论是泰州市还是江苏省，在8月上、中旬CH₄排放出现了峰值，之后逐渐下降，且其峰值分别达到了（966.6±104.6）和（1182.9±128.0）mg/（m²·d），是反演前排放清单的（3.27±0.35）倍．（3）从5月下旬~10月下旬整个研究时段内，泰州市和江苏省稻田CH₄的后验平均CH₄通量分别为（307.3±40.5）和（376.7±49.7）mg CH₄/（m²·d），是先验清单的（1.37±0.18）倍，以上反演结果表明先验排放清单无论从时间变化还是总量上存在明显偏差．

, authors=杨文武¹, 彭婷¹, 吴莹¹, 王玉祥¹, 朱俊¹, 赵美玲¹, 张艺凡², 史雪静², 肖薇³, 胡诚^{2, 3, *}, authorsList=杨文武, 彭婷, 吴莹, 王玉祥, 朱俊, 赵美玲, 张艺凡, 史雪静, 肖薇, 胡诚, authorCompany=null, correspAuthors=胡诚, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=t20UWqvhnExfQNvVfRlyOg==, magXml=1agIEBRqFZEHPv3ZWTL7sw==, pdfUrl=null, pdf=jWEv9RXNS0EpiAon9axttg==, pdfFileSize=3505976, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=ogM+Mov9aWmxLxC+7alodg==, mapNumber=null, fund=null)}, authors=[Author(id=1314923004669292772, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314923002010104022, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=395758716@qq.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314923004736401638, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314923002010104022, authorId=1314923004669292772, language=EN, stringName=Wen-wu YANG, firstName=Wen-wu, middleName=null, lastName=YANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.Taizhou Environment Monitoring Center of Jiangsu Province, Taizhou 225300, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314923004828676327, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314923002010104022, authorId=1314923004669292772, language=CN, stringName=杨文武, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.江苏省泰州环境监测中心，江苏 泰州 225300, bio={"content":"

杨文武（1979-），男，江苏泰兴人，正高级工程师，硕士，从事环境监测与持久性有机污染物监测与研究．发表论文13篇．395758716@qq.com.

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杨文武（1979-），男，江苏泰兴人，正高级工程师，硕士，从事环境监测与持久性有机污染物监测与研究．发表论文13篇．395758716@qq.com.

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