Article(id=1314917609468949458, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917567911788907, 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=1739376000000, receivedDateStr=2025-02-13, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430388084, onlineDateStr=2026-10-08, pubDate=1758297600000, pubDateStr=2025-09-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430388084, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430388084, creator=13701087609, updateTime=1791430388084, updator=13701087609, issue=Issue{id=1314917567911788907, tenantId=1146029695717560320, journalId=1234093305789726721, year='2025', volume='45', issue='9', pageStart='4737', pageEnd='5328', issueExtLink='null', onlineDate='null', pubDate='1758297600000', pubDateStr='2025-09-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791430378177, creator='13701087609', updateTime=1791431890195, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314923910001418489, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917567911788907, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314923910001418490, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917567911788907, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=4872, endPage=4887, ext={EN=ArticleExt(id=1314917609846436819, articleId=1314917609468949458, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Emission inventory of atmosphericpollutants and CO₂ in Shaanxi and synergistic emission reduction effect, columnId=1234106386020365051, journalTitle=China Environmental Science, columnName=Air Pollution Control, runingTitle=null, highlight=null, articleAbstract=

Based on the environmental statistics data and departmental survey data of Shaanxi Province in 2022, the emission inventory of atmospheric pollutants and CO₂ of Shaanxi Province in 2022 was established by a combination method of bottom-up and top-down. The results indicate that the total emissions of SO₂, NO_x, CO, VOCs, NH₃, PM₁₀, PM_2.5, BC, OC and CO₂ were 64.0×10³, 31.2×10⁴, 19.3×10⁵, 21.5×10⁴, 34.0×10⁴, 67.9×10⁴, 20.8×10⁴, 11.7×10³, 24.0×10³, 33.1×10⁷ tons, respectively. The primary source of SO₂ was electricity generation and heating supply; the primary source of NO_x and BC was diesel vehicles; the primary source of CO was the iron and steel industry; the primary source of VOCs was the coking industry; the primary source of NH₃ was livestock and poultry farming; the primary source of PM₁₀ and PM_2.5 was the road dust; and the primary source of OC was biomass stoves. Yulin, Xi'an and Weinan were the major cities with SO₂ and PM₁₀ emissions; Yulin, Xi'an and Hancheng were the major cities with PM_2.5 emissions; Xi'an, Yulin and Xianyang were the major cities with NO_x emissions; Xi'an, Yulin and Yan'an were the major cities with VOCs emissions; Hancheng, Yulin and Xi'an were the major cities with CO emissions; Yulin, Weinan and Baoji were the major cities with NH₃ emissions; Yulin, Xi'an and Xianyang were the major cities with BC emissions; Yulin, Xi'an and Weinan were the major cities with OC emissions. On this basis, the pollution and carbon reduction effects of air pollutants and CO₂ emission reduction measures were analyzed, and it was found that the cleanification of civil energy, the electricity generation of cleaner power energyin power plants and the renovation of coal-fired boilers all have pollution and carbon reduction effects,while the electricity generation of cleaner power energyin power plants have the highest synergistic effect.

, authors=Jia-lin ZHENG¹, Yu BO^{2, *}, Chen-xi XU³, Meng-jie GUO³, Lu-yao ZHANG³, Run-cao ZHANG¹, Fei GAO⁴, Meng-shuang SHI⁵, Lin PENG⁶, Ke-bin HE^{1, 7}, authorsList=Jia-lin ZHENG, Yu BO, Chen-xi XU, Meng-jie GUO, Lu-yao ZHANG, Run-cao ZHANG, Fei GAO, Meng-shuang SHI, Lin PENG, Ke-bin HE, authorCompany=null, correspAuthors=Yu BO, 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=1314917610152621012, articleId=1314917609468949458, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=陕西大气污染物与CO₂排放清单及协同减排效应, columnId=1234106388364981004, journalTitle=中国环境科学, columnName=大气污染与控制, runingTitle=null, highlight=null, articleAbstract=

基于陕西省2022年环境统计数据及部门调研数据，通过自下而上和自上而下相结合的方法建立陕西省2022年大气污染物和CO₂排放清单．结果发现，SO₂、NO_x、CO、VOCs、NH₃、PM₁₀、PM_2.5、BC、OC和CO₂排放总量分别为：64.0×10³，31.2×10⁴，19.3×10⁵，21.5×10⁴，34.0×10⁴，67.9×10⁴，20.8×10⁴，11.7×10³，24.0×10³，33.1×10⁷t．SO₂的最大排放源是电力供热；NO_x和BC的最大排放源是柴油车；CO的最大排放源是钢铁行业；VOCs的最大排放源是焦化行业；NH₃的最大排放源是畜禽养殖；PM₁₀和PM_2.5的最大排放源是道路扬尘；OC的最大排放源是生物质炉灶．榆林、西安和渭南是主要的SO₂和PM₁₀排放城市；榆林、西安和韩城是主要的PM_2.5排放城市；西安、榆林和咸阳是主要的NO_x排放城市；西安、榆林和延安是主要的VOCs排放城市；韩城、榆林和西安是主要的CO排放城市；榆林、渭南和宝鸡是主要的NH₃排放城市；榆林、西安和咸阳是主要的BC排放城市；榆林、西安和渭南是主要的OC排放城市．在此基础上分析了大气污染物和CO₂减排措施的减污降碳效应，发现民用能源清洁化、电厂清洁能源发电以及燃煤锅炉整治措施均有减污降碳效应，且电厂清洁能源发电的减污降碳协同效应最高．

, authors=郑佳琳¹, 薄宇^{2, *}, 徐晨曦³, 郭梦婕³, 张露瑶³, 张润草¹, 高飞⁴, 石梦双⁵, 彭林⁶, 贺克斌^{1, 7}, authorsList=郑佳琳, 薄宇, 徐晨曦, 郭梦婕, 张露瑶, 张润草, 高飞, 石梦双, 彭林, 贺克斌, authorCompany=null, correspAuthors=薄宇, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=EqZLQd95+60rYFxk0QMjig==, magXml=srradnFKVf507aWtAQ2w4A==, pdfUrl=null, pdf=LWHcWEGgozYc9Mo+p+yXlQ==, pdfFileSize=5390337, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=6p+na0sSh+W/cn1qiGuugQ==, mapNumber=null, fund=null)}, authors=[Author(id=1314918085111406698, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917609468949458, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=1454121916@qq.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314918085203681388, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917609468949458, authorId=1314918085111406698, language=EN, stringName=Jia-lin ZHENG, firstName=Jia-lin, middleName=null, lastName=ZHENG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.School of Environment, Tsinghua University, Beijing 100084, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314918085266595949, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917609468949458, authorId=1314918085111406698, language=CN, stringName=郑佳琳, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.清华大学环境学院，北京 100084, bio={"content":"

郑佳琳（1990-），女，河南新乡人，博士，主要从事环境管理研究．发表论文6篇．1454121916@qq.com.

"}, bioImg=null, bioContent=

郑佳琳（1990-），女，河南新乡人，博士，主要从事环境管理研究．发表论文6篇．1454121916@qq.com.

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