Managing Air Emissions for a Sustainable Livestock Industry
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Air Quality".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 151
Special Issue Editor
Interests: air quality monitoring and modeling, fate and transport of air emissions from agricultural sources, cost effective mitigation strategies; best management practices or plans for agricultural production systems, including waste management, nutrient management, and environmental management, etc.; impact of climate change and our strategies, and other environmental issues impacting sustainability of agricultural production; data science and data processing techniques; meta-analysis and systematic review; satellite data for air quality applications; life cycle assessment
Special Issue Information
Dear Colleagues,
Air emissions from animal operations are receiving increasing attention due to concerns related to human and animal health, nuisances, and impacts on climate change, as well as high uncertainties in emissions and challenges in implementing environmental regulations in the livestock industry. Successful management of air emissions is essential to improving the viability and competitive advantage of the livestock industry.
Many efforts have been made for accurate quantification, cost-effective mitigation, and management of livestock emissions. Increased feed efficiency and improved genetics and management practices may all contribute to reduced air emissions. This Special Issue invites contributions that enhance our scientific understanding on the quantification and mitigation of air emissions in a changing livestock industry and policy environment. Original research on measurement, mitigation, and modeling, systematic reviews, and meta-analyses are all welcome.
Dr. Zifei Liu
Guest Editor
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Keywords
- animal feeding operations
- air emissions
- emission models
- greenhouse gases
- Odor, NH3, H2S, and PM
- cattle, swine, and poultry
- feed efficiency
- meta-analyses
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