Article(id=1314918415312188118, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918356222829028, 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=1744128000000, receivedDateStr=2025-04-09, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430580212, onlineDateStr=2026-10-08, pubDate=1763568000000, pubDateStr=2025-11-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430580212, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430580212, creator=13701087609, updateTime=1791430580212, updator=13701087609, issue=Issue{id=1314918356222829028, tenantId=1146029695717560320, journalId=1234093305789726721, year='2025', volume='45', issue='11', pageStart='5921', pageEnd='6512', issueExtLink='null', onlineDate='null', pubDate='1763568000000', pubDateStr='2025-11-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791430566125, creator='13701087609', updateTime=1791431596967, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314922679942078535, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918356222829028, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314922679942078536, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918356222829028, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=5921, endPage=5930, ext={EN=ArticleExt(id=1314918417103155928, articleId=1314918415312188118, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Spatial-temporal characteristics and influencing mechanism of PM_2.5 dry deposition in the Xiangjiang River Basin over the past two decades, columnId=1234106386020365051, journalTitle=China Environmental Science, columnName=Air Pollution Control, runingTitle=null, highlight=null, articleAbstract=

Analyzing the spatiotemporal variation and influencing mechanisms of dry deposition is crucial for identifying pollution sources, atmospheric pollution control, soil environmental management, and agricultural pollution prevention. Focusing on the Xiangjiang River Basin, a vital grain producing region in China, this study estimated PM_2.5 dry deposition fluxes using empirical parameterization formulas and multi-source data, including remote sensing PM_2.5 concentrations, ERA5 reanalysis meteorological data, and ground-based monitoring. The long-term spatiotemporal characteristics of dry deposition across the basin and three zones delineated by three lines for land use (agricultural zones, ecological preservation zones, and urban development zones) were investigated. Furthermore, the random forest model was employed to quantify the contributions of influencing factors and elucidated the dominant mechanisms driving dry deposition. Results show thatthe dry deposition fluxes presented a spatial pattern of high in the north and central areas, low in the south and periphery. Urban development zones had the highest dry deposition flux (1.42g/m²), followed by agricultural zones (1.06g/m²) and ecological preservation zones (0.80g/m²). Since 2000, dry deposition fluxes have shown a declining trend at a rate of -0.017g/(m²·a), with significant decreases in high PM_2.5 concentration areas. Residential emissions (2.43±0.04), air temperature (0.71±0.01), industrial emissions (0.69±0.02), and relative humidity (0.59±0.01) were identified as dominant factors influencing PM_2.5 dry deposition. Considering the spatial heterogeneity of mechanisms in influencing factors, tailored atmospheric pollution control measures are recommended to achieve targeted pollution mitigation.

, authors=Ying DING¹, Bin ZOU¹, Shen-xin LI^{1, *}, Yong XU^{1, 2}, Ning LIU³, Fang ZHAO⁴, Jun CHEN⁴, Xiang-yu YOU⁵, authorsList=Ying DING, Bin ZOU, Shen-xin LI, Yong XU, Ning LIU, Fang ZHAO, Jun CHEN, Xiang-yu YOU, authorCompany=null, correspAuthors=Shen-xin LI, 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=1314918417367397081, articleId=1314918415312188118, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=湘江流域近二十年大气PM_2.5干沉降时空特征及影响机制解析, columnId=1234106388364981004, journalTitle=中国环境科学, columnName=大气污染与控制, runingTitle=null, highlight=null, articleAbstract=

解析干沉降时空演化过程及影响机制是精准把握污染来源与开展大气污染治理、土壤环境管理、农业污染防治的重要内容,因此,本研究以我国重要粮食产区湘江流域为研究区,综合2000~2021年遥感反演PM_2.5浓度、ERA5模式再分析气象场、地面大气颗粒物监测等多源数据,采用经验参数公式方法估算区域PM_2.5干沉降通量,探究流域及“三区”空间干沉降长时序时空演化特征.在此基础上,结合随机森林模型解析干沉降通量影响因素贡献特征,阐明干沉降主要影响机制.结果表明,近20年间湘江流域PM_2.5干沉降通量呈北高南低、中心高四周低格局,城镇空间PM_2.5干沉降量最高（1.42g/m²）,其次为农业空间（1.06g/m²）,生态空间最低（0.80g/m²）.2000年以来干沉降通量呈下降趋势,变化率为-0.017g /（m²·a）.PM_2.5浓度高值区域干沉降通量下降趋势较强.民用排放（2.43±0.04）、气温（0.71±0.01）、工业排放（0.69±0.02）及相对湿度（0.59±0.01）是湘江流域干沉降的主控因素,同时影响机制存在空间异质性,应针对不同区域影响要素贡献特征制定大气污染防控措施实现污染精准防控.

, authors=丁莹¹, 邹滨¹, 李沈鑫^{1, *}, 徐勇^{1, 2}, 刘宁³, 赵芳⁴, 陈军⁴, 尤翔宇⁵, authorsList=丁莹, 邹滨, 李沈鑫, 徐勇, 刘宁, 赵芳, 陈军, 尤翔宇, authorCompany=null, correspAuthors=李沈鑫, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=q5Wg0rPDCqj7nQv3CUW53w==, magXml=6F3XZ/hGcMsFhUumawiVEw==, pdfUrl=null, pdf=6IqjX6TZsdMW9BbFSSLJrQ==, pdfFileSize=2637686, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=XRjgSm23xSuoaHhljKt2mw==, mapNumber=null, fund=null)}, authors=[Author(id=1314918418063651562, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918415312188118, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=YingDing@csu.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314918418151731948, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918415312188118, authorId=1314918418063651562, language=EN, stringName=Ying DING, firstName=Ying, middleName=null, lastName=DING, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.School of Geosciences and Info-Physics, Central South University, Changsha 410083, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314918418223035117, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918415312188118, authorId=1314918418063651562, language=CN, stringName=丁莹, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.中南大学地球科学与信息物理学院，湖南 长沙 410083, bio={"content":"

丁莹（1996-），女，新疆乌鲁木齐人，博士研究生，主要从事大气污染遥感研究．发表论文10余篇．YingDing@csu.edu.cn.

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丁莹（1996-），女，新疆乌鲁木齐人，博士研究生，主要从事大气污染遥感研究．发表论文10余篇．YingDing@csu.edu.cn.

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