基于碳排放算法的规模养殖模式及粪污处理模式的研究OA

[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.