Non-Contact, Open, Three-Dimensional, Real-Time Measurement of Plant CO2 Emission Reduction with a More Accurate Theory and Method
Current estimations of plant carbon reduction use two models, GPP and NPP. Here we evaluate these models, and the relevant formulas of the GPP model and the inaccuracy of the corresponding estimated data are reviewed. The reasons for the large error in the estimation results of the GPP data model are considered. A theory to estimate plant carbon reduction through real-time volumetric carbon dioxide concentration detection using LiDAR is proposed, and relevant experimental and data support materials are provided.
Authors
- Song Jinde
- Yuxin Tong (ORCID: https://orcid.org/0000-0002-5007-1152)
- Jun Zou (ORCID: https://orcid.org/0000-0003-4720-2040)
- Kuang Yuhan
- Wei Wei (ORCID: https://orcid.org/0000-0002-9850-6661)
- Qian Li (ORCID: https://orcid.org/0000-0002-4847-4892)
- Yangyang Liu (ORCID: https://orcid.org/0000-0003-3834-4565)
- Mingming Shi (ORCID: https://orcid.org/0000-0002-2786-412X)
- Qian Fang (ORCID: https://orcid.org/0000-0002-2573-1358)
- Kuo‐Hsing Cheng (ORCID: https://orcid.org/0000-0002-0997-5264)
- Zhang Guo‐Yi
- You Wu (ORCID: https://orcid.org/0009-0005-8964-8747)
- Dong Zhenfen
Institutions
- Peking University (CN)
- Dongguan University of Technology (CN)
- Chinese Academy of Agricultural Sciences (CN)
- Yancheng Teachers University (CN)
- Institute of Environment and Sustainable Development in Agriculture (CN)
- Yancheng Institute of Technology (CN)
- Shanghai Institute of Technology (CN)
Publication Details
- Published
- 2024-11-18
- DOI
- https://doi.org/10.1109/sslchinaifws64644.2024.10835339
- Primary Topic
- Atmospheric chemistry and aerosols
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Shanghai Science and Technology Development Foundation
- Government of Jiangsu Province