Apply machine learning to predict greenhouse gas emissions in aerobic composting and achieve emission reduction by nanomembrane covering mode
with actual measurements under nanomembrane-covered conditions to quantify emission reduction. This study offers technical methods for manure fertilization and emission reduction in cold environments and provides a valuable reference for the application of aerobic composting mode with nanomembrane in the cold high-altitude regions of Northeast China.
Authors
- Hong Wang (ORCID: https://orcid.org/0000-0001-5700-6786)
- Xiping Sun
- Samuel Jin
- Yu Xu
- Xuan Wang
- Wei Zhao
Institutions
- Northeast Agricultural University (CN)
- Cornell University (US)
- New York State College of Agriculture & Life Sciences (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- Waste Management
- Published
- 2026-04-06
- DOI
- https://doi.org/10.1016/j.wasman.2026.115512
- Primary Topic
- Composting and Vermicomposting Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00