Article(id=1297139245748089157, tenantId=1146029695717560320, journalId=1296801528146919473, issueId=1297139204312555864, articleNumber=null, orderNo=null, doi=10.12377/1671-4393.26.04.04, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1787191695868, onlineDateStr=2026-08-20, pubDate=1777046400000, pubDateStr=2026-04-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1787191695868, onlineIssueDateStr=2026-08-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1787191695868, creator=13701087609, updateTime=1787191695868, updator=13701087609, issue=Issue{id=1297139204312555864, tenantId=1146029695717560320, journalId=1296801528146919473, year='2026', volume='', issue='4', pageStart='2', pageEnd='121', issueExtLink='null', onlineDate='null', pubDate='1777046400000', pubDateStr='2026-04-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1787191685989, creator='13701087609', updateTime=1787192250596, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1297141572534038814, tenantId=1146029695717560320, journalId=1296801528146919473, issueId=1297139204312555864, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1297141572534038815, tenantId=1146029695717560320, journalId=1296801528146919473, issueId=1297139204312555864, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=20, endPage=27, ext={EN=ArticleExt(id=1297139247652303175, articleId=1297139245748089157, tenantId=1146029695717560320, journalId=1296801528146919473, language=EN, title=Research on Large-scale Farming Models and Manure Treatment Models Based on Carbon Emission Algorithms, columnId=1297139247341924678, journalTitle=China Dairy, columnName=BASE CONSTRUCTION, runingTitle=null, highlight=null, articleAbstract=
[Objective]

Based on the current development of intensive dairy farming in Daxing District, Beijing, and in response to the requirements of low-carbon agricultural development, this study aimed to accurately characterize greenhouse gas (GHG) emissions from intensive dairy farms, explore low-carbon development pathways for dairy farming, and optimize manure management methods, thereby providing practical support for emission reduction and carbon sequestration in the dairy industry.

[Method]

Following the Monitoring Technical Specification for Greenhouse Gas Emissions from Livestock Enterprises (Organizations) (T/LCAA 004—2020) issued by the Beijing Low-Carbon Agriculture Association, this study collected baseline data from two demonstration dairy farms in Daxing District using a combination of questionnaire surveys, telephone interviews, and on-site discussions. Taking Beijing Sunlon Agriculture Chuanghui Dairy Farm as a typical case, a standardized accounting method was applied to accurately calculate and analyze GHG emissions across various stages of dairy production.

[Result]

In 2021, the total GHG emissions from Chuanghui Dairy Farm were 11 750.13 t CO2e, with emission intensity per ton of raw milk at 1.464 t CO2e/t. Methane emissions from manure management (5 775.54 t CO2e, accounting for 49.15%) and enteric fermentation (4 333.70 t CO2e, accounting for 36.88%) were the primary emission sources. Together, these two methane emission sources accounted for 86.03% of total emissions, while emissions related to energy consumption were relatively low.

[Conclusion]

GHG emissions from intensive dairy farms are mainly concentrated in manure management and enteric fermentation. Optimizing manure treatment methods, improving feed composition, and promoting clean energy alternatives are key strategies for achieving low-carbon development in the dairy industry and meeting emission reduction and carbon sequestration goals.

, authors=Xinyu WANG, Yan WANG*, authorsList=Xinyu WANG, Yan WANG, authorCompany=null, correspAuthors=Yan WANG, 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=1297139248205951305, articleId=1297139245748089157, tenantId=1146029695717560320, journalId=1296801528146919473, language=CN, title=基于碳排放算法的规模养殖模式及粪污处理模式的研究, columnId=1297139247744577864, journalTitle=中国乳业, columnName=牧场建设, runingTitle=null, highlight=null, articleAbstract=
[目的]

立足北京市大兴区规模奶牛养殖发展实际,落实低碳农业发展要求,精准掌握规模奶牛场温室气体排放特征,研究奶牛养殖低碳化发展路径与粪污处理优化方法,为奶牛养殖行业减排固碳提供实践支撑。

[方法]

依据北京市低碳农业协会《T/LCAA 004—2020养殖企业(组织)温室气体排放监测技术规范》,采用问卷调研、电话问询与现场座谈相结合的方式,收集大兴区2家示范奶牛场基础数据;以北京首农畜牧创辉牛场为典型案例,运用规范核算方法,对其养殖各环节温室气体排放量进行精准测算与分析。

[结果]

2021年创辉牛场温室气体总排放量为11 750.13 t CO2e,单位原料奶温室气体排放量为1.464 t CO2e/t;粪污管理甲烷排放(5 775.54 t CO2e,占比49.15%)和肠道发酵甲烷排放(4 333.70 t CO2e,占比36.88%)是主要排放源,两类甲烷排放合计占总排放量的86.03%,能源消耗相关排放占比相对较低。

[结论]

规模奶牛场温室气体排放核心集中于粪污管理和肠道发酵环节,优化粪污处理方式、改良饲粮结构、推进清洁能源替代,是实现奶牛养殖行业低碳化发展、落实减排固碳目标的关键举措。

, authors=王欣雨, 王艳*, authorsList=王欣雨, 王艳, authorCompany=null, correspAuthors=王艳, authorNote=

王欣雨(1991-),女,北京人,本科,兽医师,研究方向为动物疫病防控与检测。

, correspAuthorsNote=

*

王艳(1984-),女,北京人,副高级兽医师,研究方向为动物疫病防控净化。
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王欣雨(1991-),女,北京人,本科,兽医师,研究方向为动物疫病防控与检测。

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王欣雨(1991-),女,北京人,本科,兽医师,研究方向为动物疫病防控与检测。

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基于碳排放算法的规模养殖模式及粪污处理模式的研究
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王欣雨 , 王艳 *
中国乳业 | 牧场建设 2026,(4): 20-27
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中国乳业 |牧场建设 2026 , (4) : 20 -27
基于碳排放算法的规模养殖模式及粪污处理模式的研究
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王欣雨(1991-),女,北京人,本科,兽医师,研究方向为动物疫病防控与检测。

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王欣雨, 王艳*
作者信息
  • 北京市大兴区农业农村局检测检疫和疫病防控中心,北京 102600
通讯作者:

*

王艳(1984-),女,北京人,副高级兽医师,研究方向为动物疫病防控净化。
作者简介:

王欣雨(1991-),女,北京人,本科,兽医师,研究方向为动物疫病防控与检测。

Research on Large-scale Farming Models and Manure Treatment Models Based on Carbon Emission Algorithms
Xinyu WANG, Yan WANG*
Affiliations
  • Center for Inspection, Quarantine, and Disease Prevention and Control, Daxing District Bureau of Agriculture and Rural Affairs, Beijing 102600
出版时间: 2026-04-25 doi: 10.12377/1671-4393.26.04.04
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[目的]

立足北京市大兴区规模奶牛养殖发展实际,落实低碳农业发展要求,精准掌握规模奶牛场温室气体排放特征,研究奶牛养殖低碳化发展路径与粪污处理优化方法,为奶牛养殖行业减排固碳提供实践支撑。

[方法]

依据北京市低碳农业协会《T/LCAA 004—2020养殖企业(组织)温室气体排放监测技术规范》,采用问卷调研、电话问询与现场座谈相结合的方式,收集大兴区2家示范奶牛场基础数据;以北京首农畜牧创辉牛场为典型案例,运用规范核算方法,对其养殖各环节温室气体排放量进行精准测算与分析。

[结果]

2021年创辉牛场温室气体总排放量为11 750.13 t CO2e,单位原料奶温室气体排放量为1.464 t CO2e/t;粪污管理甲烷排放(5 775.54 t CO2e,占比49.15%)和肠道发酵甲烷排放(4 333.70 t CO2e,占比36.88%)是主要排放源,两类甲烷排放合计占总排放量的86.03%,能源消耗相关排放占比相对较低。

[结论]

规模奶牛场温室气体排放核心集中于粪污管理和肠道发酵环节,优化粪污处理方式、改良饲粮结构、推进清洁能源替代,是实现奶牛养殖行业低碳化发展、落实减排固碳目标的关键举措。

规模牛场  /  碳排放算法  /  粪污处理  /  温室气体减排
[Objective]

Based on the current development of intensive dairy farming in Daxing District, Beijing, and in response to the requirements of low-carbon agricultural development, this study aimed to accurately characterize greenhouse gas (GHG) emissions from intensive dairy farms, explore low-carbon development pathways for dairy farming, and optimize manure management methods, thereby providing practical support for emission reduction and carbon sequestration in the dairy industry.

[Method]

Following the Monitoring Technical Specification for Greenhouse Gas Emissions from Livestock Enterprises (Organizations) (T/LCAA 004—2020) issued by the Beijing Low-Carbon Agriculture Association, this study collected baseline data from two demonstration dairy farms in Daxing District using a combination of questionnaire surveys, telephone interviews, and on-site discussions. Taking Beijing Sunlon Agriculture Chuanghui Dairy Farm as a typical case, a standardized accounting method was applied to accurately calculate and analyze GHG emissions across various stages of dairy production.

[Result]

In 2021, the total GHG emissions from Chuanghui Dairy Farm were 11 750.13 t CO2e, with emission intensity per ton of raw milk at 1.464 t CO2e/t. Methane emissions from manure management (5 775.54 t CO2e, accounting for 49.15%) and enteric fermentation (4 333.70 t CO2e, accounting for 36.88%) were the primary emission sources. Together, these two methane emission sources accounted for 86.03% of total emissions, while emissions related to energy consumption were relatively low.

[Conclusion]

GHG emissions from intensive dairy farms are mainly concentrated in manure management and enteric fermentation. Optimizing manure treatment methods, improving feed composition, and promoting clean energy alternatives are key strategies for achieving low-carbon development in the dairy industry and meeting emission reduction and carbon sequestration goals.

intensive dairy farm  /  carbon emission algorithm  /  manure management  /  greenhouse gas emission reduction
王欣雨, 王艳. 基于碳排放算法的规模养殖模式及粪污处理模式的研究. 中国乳业, 2026 , (4) : 20 -27 . DOI: 10.12377/1671-4393.26.04.04
Xinyu WANG, Yan WANG. Research on Large-scale Farming Models and Manure Treatment Models Based on Carbon Emission Algorithms[J]. China Dairy, 2026 , (4) : 20 -27 . DOI: 10.12377/1671-4393.26.04.04

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doi: 10.12377/1671-4393.26.04.04
  • 首发时间:2026-08-20
  • 出版时间:2026-04-25
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    北京市大兴区农业农村局检测检疫和疫病防控中心,北京 102600

通讯作者:

*

王艳(1984-),女,北京人,副高级兽医师,研究方向为动物疫病防控净化。
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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