Automatic Monitoring Methods for Greenhouse and Hazardous Gases Emitted from Ruminant Production Systems: A Review
文献类型: 外文期刊
作者: Ma, Weihong 1 ; Ji, Xintong 1 ; Ding, Luyu 2 ; Yang, Simon X. 4 ; Guo, Kaijun 1 ; Li, Qifeng 2 ;
作者机构: 1.Beijing Univ Agr, Coll Anim Sci & Technol, Beijing 100096, Peoples R China
2.Beijing Acad Agr & Forestry Sci, Informat Technol Res Ctr, Beijing 100097, Peoples R China
3.Natl Innovat Ctr Digital Technol Anim Husb, Beijing 100097, Peoples R China
4.Univ Guelph, Sch Engn, Adv Robot & Intelligent Syst Lab, Guelph, ON N1G 2W1, Canada
关键词: greenhouse and hazardous gas; ruminant production system; automatic gas monitoring
期刊名称:SENSORS ( 影响因子:3.4; 五年影响因子:3.7 )
ISSN:
年卷期: 2024 年 24 卷 13 期
页码:
收录情况: SCI
摘要: The research on automatic monitoring methods for greenhouse gases and hazardous gas emissions is currently a focal point in the fields of environmental science and climatology. Until 2023, the amount of greenhouse gases emitted by the livestock sector accounts for about 11-17% of total global emissions, with enteric fermentation in ruminants being the main source of the gases. With the escalating problem of global climate change, accurate and effective monitoring of gas emissions has become a top priority. Presently, the determination of gas emission indices relies on specialized instrumentation such as breathing chambers, greenfeed systems, methane laser detectors, etc., each characterized by distinct principles, applicability, and accuracy levels. This paper first explains the mechanisms and effects of gas production by ruminant production systems, focusing on the monitoring methods, principles, advantages, and disadvantages of monitoring gas concentrations, and a summary of existing methods reveals their shortcomings, such as limited applicability, low accuracy, and high cost. In response to the current challenges in the field of equipment for monitoring greenhouse and hazardous gas emissions from ruminant production systems, this paper outlines future perspectives with the aim of developing more efficient, user-friendly, and cost-effective monitoring instruments.
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