Research of Methane Emissions Based on Biogeochemical Model and Active Microwave Measurement
| Autor: | Yang Zhang, Yuxia Li, Fanghong Xiao, Longfei Tan, Ling Tong, Ting Yang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Biogeochemical cycle
010504 meteorology & atmospheric sciences Astrophysics::Cosmology and Extragalactic Astrophysics 04 agricultural and veterinary sciences Vegetation Scatterometer Atmospheric sciences 01 natural sciences Methane law.invention chemistry.chemical_compound Microwave imaging chemistry law 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Paddy field Environmental science Radar Microwave 0105 earth and related environmental sciences |
| Zdroj: | IGARSS |
| DOI: | 10.1109/igarss39084.2020.9323476 |
| Popis: | This paper proposes a semi-empirical microwave model of methane emissions (CH4) based on the biogeochemical processes from rice paddy. By exploiting the mechanism processes of methane production, oxidation and emission, a combined microwave model is developed to predict methane emissions from rice paddy. Simultaneously, the main influencing emissions factors, which concluded soil, underlying water body, vegetation, climate and management, are analyzed in the present model. During the whole growth season, the multi-polarization backscattering coefficients of rice are measured by the ground-based radar scatterometer (GBRS), and relevant parameters are observed in the rice fields. Moreover, experiments of the emissions samples are conducted on conventional static box, and the results are compared to the semi-empirical microwave model and Denitrification-Decomposition (DNDC) simulation model, respectively, which shows the good extend performance is developed from experience model into mechanism model based on active microwave remote sensing data. |
| Databáze: | OpenAIRE |
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