牛舍各种温室气体减排控制研究
Study on emission reduction control of various greenhouse gases in cowshed
王莹莹 1阳娇 1张圆圆1
作者信息
- 1. 东北林业大学野生动物与自然保护地学院,黑龙江哈尔滨 150040
- 折叠
摘要
温室气体指能够吸收地球大气层中长波辐射并导致大气温度升高的气体,其中二氧化碳、甲烷、氧化亚氮和氟气等是对气候变化影响最为突出的气体.畜牧业产生的温室气体排放量占全球排放总量的比例较大,因此,为减少畜牧业对气候变化的影响,控制牛舍的温室气体排放尤为重要.目前,控制牛舍温室气体排放的主要途径有两种方法:通过改善畜牧业生产方式和管理模式以减少温室气体产生;通过技术手段控制温室气体的排放.文章阐释了牛排出的温室气体在舍内的毒性作用,着重分析了影响温室气体排放的相关因素及其控制方法,从饲料成分及添加剂调控、舍内环境安置吸附剂、舍外环境优化等角度出发探讨了多种牛舍温室气体减排控制措施,剖析现有技术的优势与存在的问题,为推动环境友好型、可持续发展的科学畜禽养殖实践提供参考.
Abstract
Greenhouse gases refer to gases that can absorb long-wave radiation in the earth's atmosphere and cause atmospheric temperature to rise,among which carbon dioxide,methane,nitrous oxide and fluorine are the gases that have the most prominent impact on climate change.Greenhouse gas emissions from animal husbandry account for a large proportion of the total global emissions.Therefore,in order to reduce the impact of animal husbandry on climate change,it is particularly important to control greenhouse gas emissions from cowshed.At present,there are two main ways to control greenhouse gas emissions from cowshed:Improving the production mode and management mode of animal husbandry to reduce greenhouse gas generation,control greenhouse gas emissions through technical means.This paper explains the toxic effect of greenhouse gases emitted by cattle in cowshed,emphatically analyzes the related factors affecting greenhouse gas emissions and its control methods,discusses various greenhouse gas emission reduction control measures from the perspectives of feed composition and additive regulation,adsorbent placement in the cowshed environment,and environmental optimization outside of the cowshed,and analyzes the advantages and existing problems of the existing technologies,to provide references for promoting environmentally friendly,sustainable scientific livestock and poultry farming practices.
关键词
牛舍/温室气体/减排Key words
cowshed/greenhouse gases/emission reduction引用本文复制引用
基金项目
中央高校基本科研业务费专项资金项目(2572022BE03)
大学生创新创业计划项目(202310225117)
大学生创新创业计划项目(S202310225031)
出版年
2024
国家科技期刊平台
NSTL
万方数据