Article(id=1314917676288409808, 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=1740585600000, receivedDateStr=2025-02-27, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430404016, onlineDateStr=2026-10-08, pubDate=1758297600000, pubDateStr=2025-09-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430404016, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430404016, creator=13701087609, updateTime=1791430404016, 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=5305, endPage=5314, ext={EN=ArticleExt(id=1314917677215350993, articleId=1314917676288409808, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Greenhouse gas emission accounting methods and case study of whole process during collection-transport-treatment of food waste, columnId=1234106390126588740, journalTitle=China Environmental Science, columnName=Carbon Emission Control, runingTitle=null, highlight=null, articleAbstract=

This study adopts a life cycle assessment (LCA) framework to define the system boundary for greenhouse gas (GHG) emission accounting across the entire food waste collection, transportation, and treatment process. Emission sources and gas types were identified to establish a comprehensive emission inventory, upon which a modular and decomposable GHG emission accounting model was developed based on the emission factor method. The results indicate that the full-process system boundary encompasses nine accounting units and seven major categories of GHG emission sources. Compared to conventional models, the proposed model demonstrates distinct advantages in accounting accuracy, modularity, flexibility, and scenario adaptability. A case study was conducted for the Chaoyang District of Beijing to validate the model. The findings show that GHG emissions are particularly significant at the waste disposal sites and during vehicle transportation, with emission rates of 1.38 and 1.32 tCO2e/d, respectively. Fossil fuel combustion was identified as the dominant emission source, contributing 24.4% of total emissions. In the treatment and disposal phase, wastewater treatment exhibited the highest emissions, reaching 4.05tCO2e/d, or 32.3% of the total. Carbon offsetting efforts achieved a reduction of 53.2tCO2e/d. Sensitivity analysis revealed that food waste generation volume and biogas yield have the most significant impact on total GHG emissions, while the influence of total vehicle kilometers traveled and electricity emission factors was comparatively minor.

, authors=Shan HUANG1, Yu-cheng ZHANG1, 2, Tian-cheng GONG2, Yan-ping LI2, Yue KUANN2, Xiao-ming ZHANG3, Wen-xuan LI2, Xing-tong WU2, Tian-xue YANG2, *, authorsList=Shan HUANG, Yu-cheng ZHANG, Tian-cheng GONG, Yan-ping LI, Yue KUANN, Xiao-ming ZHANG, Wen-xuan LI, Xing-tong WU, Tian-xue YANG, authorCompany=null, correspAuthors=Tian-xue YANG, 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=1314917678465253586, articleId=1314917676288409808, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=餐厨垃圾收运与处理全过程温室气体排放量核算方法研究及案例分析, columnId=1234106391661704058, journalTitle=中国环境科学, columnName=碳排放控制, runingTitle=null, highlight=null, articleAbstract=

研究基于全生命周期方法,界定了餐厨垃圾收运与处理全过程核算边界,识别温室气体排放源和排放种类建立排放源清单,基于排放因子法构建了可拆分的餐厨垃圾收运与处理全过程温气体排放核算模型.研究结果发现,餐厨垃圾收运与处理全过程核算边界包含9个核算单元,温室气体排放源主要分为7类.相较于传统模型,该模型具有可拆分、可组合、模块化的特点,在核算精度、模型灵活性以及场景适应性上有显著优势;本研究以北京市朝阳区的餐厨垃圾收运与处理全过程为例进行核算.研究结果显示,垃圾投放点和车辆行驶环节的温室气体排放量较为突出,分别为1.38和1.32tCO2e/d,化石燃料燃烧是其主要的排放源占总排放量的24.4%.在处理处置阶段,废水处理环节的温室气体排放量最高,达4.05tCO2e/d,占总排放量的32.3%.碳补偿共减少了53.2tCO2e/d.敏感性分析结果显示餐厨垃圾量和沼气产量对温室气体排放的影响较为显著,而车辆行驶总公里数和电力因子的影响相对较小.

, authors=黄珊1, 张羽成1, 2, 龚天成2, 李艳萍2, 况悦2, 张晓敏3, 李文譞2, 武欣童2, 杨天学2, *, authorsList=黄珊, 张羽成, 龚天成, 李艳萍, 况悦, 张晓敏, 李文譞, 武欣童, 杨天学, authorCompany=null, correspAuthors=杨天学, authorNote=

黄珊(1993-),女,江西吉安人,副教授,博士,主要从事微生物电化学技术与温室气体减排研究.发表论文20余篇..

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黄珊(1993-),女,江西吉安人,副教授,博士,主要从事微生物电化学技术与温室气体减排研究.发表论文20余篇..

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黄珊(1993-),女,江西吉安人,副教授,博士,主要从事微生物电化学技术与温室气体减排研究.发表论文20余篇..

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餐厨垃圾收运与处理全过程温室气体排放量核算方法研究及案例分析
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黄珊 1 , 张羽成 1, 2 , 龚天成 2 , 李艳萍 2 , 况悦 2 , 张晓敏 3 , 李文譞 2 , 武欣童 2 , 杨天学 2, *
中国环境科学 | 碳排放控制 2025,45(9): 5305-5314
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中国环境科学 |碳排放控制 2025 , 45 (9) : 5305 -5314
餐厨垃圾收运与处理全过程温室气体排放量核算方法研究及案例分析
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黄珊(1993-),女,江西吉安人,副教授,博士,主要从事微生物电化学技术与温室气体减排研究.发表论文20余篇..

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黄珊(1993-),女,江西吉安人,副教授,博士,主要从事微生物电化学技术与温室气体减排研究.发表论文20余篇..

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黄珊1 , 张羽成1, 2, 龚天成2, 李艳萍2, 况悦2, 张晓敏3, 李文譞2, 武欣童2, 杨天学2, *
作者信息
  • 1.华东交通大学土木建筑学院,江西 南昌 330013
  • 2.中国环境科学研究院,环境基准与风险评估国家重点实验室,北京 100012
  • 3.北京智通博瑞科技发展有限公司,北京 100006
通讯作者:
* 责任作者,研究员,
作者简介:

黄珊(1993-),女,江西吉安人,副教授,博士,主要从事微生物电化学技术与温室气体减排研究.发表论文20余篇..

Greenhouse gas emission accounting methods and case study of whole process during collection-transport-treatment of food waste
Shan HUANG1 , Yu-cheng ZHANG1, 2, Tian-cheng GONG2, Yan-ping LI2, Yue KUANN2, Xiao-ming ZHANG3, Wen-xuan LI2, Xing-tong WU2, Tian-xue YANG2, *
Affiliations
  • 1.School of Civil Engineering and Architecture, East China Jiao Tong University, Nanchang 330013, China
  • 2.State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
  • 3.Beijing Zhitong Borui Technology Development Co, Ltd, Beijing 100006, China
出版时间: 2025-09-20
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研究基于全生命周期方法,界定了餐厨垃圾收运与处理全过程核算边界,识别温室气体排放源和排放种类建立排放源清单,基于排放因子法构建了可拆分的餐厨垃圾收运与处理全过程温气体排放核算模型.研究结果发现,餐厨垃圾收运与处理全过程核算边界包含9个核算单元,温室气体排放源主要分为7类.相较于传统模型,该模型具有可拆分、可组合、模块化的特点,在核算精度、模型灵活性以及场景适应性上有显著优势;本研究以北京市朝阳区的餐厨垃圾收运与处理全过程为例进行核算.研究结果显示,垃圾投放点和车辆行驶环节的温室气体排放量较为突出,分别为1.38和1.32tCO2e/d,化石燃料燃烧是其主要的排放源占总排放量的24.4%.在处理处置阶段,废水处理环节的温室气体排放量最高,达4.05tCO2e/d,占总排放量的32.3%.碳补偿共减少了53.2tCO2e/d.敏感性分析结果显示餐厨垃圾量和沼气产量对温室气体排放的影响较为显著,而车辆行驶总公里数和电力因子的影响相对较小.

餐厨垃圾  /  温室气体排放  /  核算方法

This study adopts a life cycle assessment (LCA) framework to define the system boundary for greenhouse gas (GHG) emission accounting across the entire food waste collection, transportation, and treatment process. Emission sources and gas types were identified to establish a comprehensive emission inventory, upon which a modular and decomposable GHG emission accounting model was developed based on the emission factor method. The results indicate that the full-process system boundary encompasses nine accounting units and seven major categories of GHG emission sources. Compared to conventional models, the proposed model demonstrates distinct advantages in accounting accuracy, modularity, flexibility, and scenario adaptability. A case study was conducted for the Chaoyang District of Beijing to validate the model. The findings show that GHG emissions are particularly significant at the waste disposal sites and during vehicle transportation, with emission rates of 1.38 and 1.32 tCO2e/d, respectively. Fossil fuel combustion was identified as the dominant emission source, contributing 24.4% of total emissions. In the treatment and disposal phase, wastewater treatment exhibited the highest emissions, reaching 4.05tCO2e/d, or 32.3% of the total. Carbon offsetting efforts achieved a reduction of 53.2tCO2e/d. Sensitivity analysis revealed that food waste generation volume and biogas yield have the most significant impact on total GHG emissions, while the influence of total vehicle kilometers traveled and electricity emission factors was comparatively minor.

food waste  /  greenhouse gas emissions  /  accounting methodology
黄珊, 张羽成, 龚天成, 李艳萍, 况悦, 张晓敏, 李文譞, 武欣童, 杨天学. 餐厨垃圾收运与处理全过程温室气体排放量核算方法研究及案例分析. 中国环境科学, 2025 , 45 (9) : 5305 -5314 .
Shan HUANG, Yu-cheng ZHANG, Tian-cheng GONG, Yan-ping LI, Yue KUANN, Xiao-ming ZHANG, Wen-xuan LI, Xing-tong WU, Tian-xue YANG. Greenhouse gas emission accounting methods and case study of whole process during collection-transport-treatment of food waste[J]. China Environmental Science, 2025 , 45 (9) : 5305 -5314 .
  • 国家自然科学基金(42207159)
  • 江西省自然科学基金(20232BAB214085)
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  • 接收时间:2025-02-27
  • 首发时间:2026-10-08
  • 出版时间:2025-09-20
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  • 收稿日期:2025-02-27
基金
国家自然科学基金(42207159)
江西省自然科学基金(20232BAB214085)
作者信息
    1.华东交通大学土木建筑学院,江西 南昌 330013
    2.中国环境科学研究院,环境基准与风险评估国家重点实验室,北京 100012
    3.北京智通博瑞科技发展有限公司,北京 100006

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2种不同金属材料的力学参数
科
Family
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Number of
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种数
Number of
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属
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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