Article(id=1314922049466888865, 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=1749657600000, receivedDateStr=2025-06-12, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791431446663, onlineDateStr=2026-10-08, pubDate=1768838400000, pubDateStr=2026-01-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791431446663, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791431446663, creator=13701087609, updateTime=1791431446663, 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=463, endPage=473, ext={EN=ArticleExt(id=1314922050809066147, articleId=1314922049466888865, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Research on data processing and carbon intensity calculation methodology for inland ship-A case study of Chongqing ships, columnId=1234106390126588740, journalTitle=China Environmental Science, columnName=Carbon Emission Control, runingTitle=null, highlight=null, articleAbstract=

A carbon intensity accounting method was developed to account for the distinct data characteristics of inland river ship based on carrying capacity and transport distance. The correlation between ship carbon intensity indicator (CII) and factors including vessel age, ship type, port of registry and average speed was analyzed based on operational data collected from ships of 5,000GT and above registered in Chongqing after static parameter filling and dynamic trajectory repair. The results indicated that the carbon intensity values of the study sample in October 2021 were all on the order of 10^-6, ranging between 2.47×10^-6 and 10.53×10^-6t/(t·km). As vessel age increases, the CII demonstrates an upward trend, whereas carbon emissions exhibit a negative correlation with carrying capacity. The overall energy efficiency levels of different ship types were quantified and ranked based on the median and mean values of their CIIs. The resulting order from highest to lowest energy efficiency was Ro-Ro vessels, general cargo ships, container ships, dry bulk carriers, and passenger ships. Vessels registered in main urban area of Chongqing generally demonstrate superior energy efficiency compared to those from its outer districts and counties. Thus establishing a standardized carbon emission monitoring system was crucial to enhance the overall energy efficiency of the ship fleet registered in Chongqing. The CII demonstrated a strong correlation with ship average speed. Furthermore, different ship types exhibit distinct variation characteristics, each reaching its minimum carbon intensity at different specific speed points.

, authors=Dan JIANG¹, Chen ZENG^{1, *}, Dai-jun FU², authorsList=Dan JIANG, Chen ZENG, Dai-jun FU, authorCompany=null, correspAuthors=Chen ZENG, 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=1314922051341742756, articleId=1314922049466888865, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=内河船舶营运数据处理与碳强度核算方法研究——以重庆籍船舶为例, columnId=1234106391661704058, journalTitle=中国环境科学, columnName=碳排放控制, runingTitle=null, highlight=null, articleAbstract=

为了更准确地评价内河船舶碳排放强度，通过采集重庆籍5000GT及以上船舶的营运数据，在静态参数填充和动态轨迹修复的基础上，结合基于载运能力和运输距离的船舶碳强度指标计算方法，提出了适用于内河船舶数据特征的碳强度核算方法，并探究了船龄、船型、船籍港和平均航速等因素与船舶碳强度指标的相关性特征．结果表明：研究样本2021年10月的碳强度指标均处于10^-6数量级，并在（2.47~10.53）×10^-6t/（t·km）区间分布．随着船龄的增加，船舶碳强度指标呈上升趋势，而碳排放量与承载能力则呈负相关．根据碳强度指标值的中位数与平均数对各船型的整体能效水平进行量化与排序，结果为滚装船>杂货船>集装箱船>干散货船>客船．重庆主城籍营运船舶的能效普遍优于区县籍船舶，亟需通过建立标准化的碳排放监管制度以提升重庆籍船舶的整体能效水平．碳强度指标与平均航速有较强的相关性，且不同船型呈现不同变化特征，并分别在不同航速点达到碳强度最低值．

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姜丹（1988-），女，湖北武汉人，副教授，博士，主要从事绿色航运研究．发表论文20余篇．jiangdan@cqjtu.edu.cn.

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姜丹（1988-），女，湖北武汉人，副教授，博士，主要从事绿色航运研究．发表论文20余篇．jiangdan@cqjtu.edu.cn.

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