Articles | Volume 19, issue 12
https://doi.org/10.5194/bg-19-3001-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-19-3001-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Jun 2022
Research article |
| 22 Jun 2022
| 22 Jun 2022
Update of a biogeochemical model with process-based algorithms to predict ammonia volatilization from fertilized cultivated uplands and rice paddy fields
Siqi Li
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Wei Zhang
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Xunhua Zheng
CORRESPONDING AUTHOR
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
College of Earth and Planetary Science, University of Chinese Academy of Sciences, Beijing 100049, China
Yong Li
CORRESPONDING AUTHOR
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Shenghui Han
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Rui Wang
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Kai Wang
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Zhisheng Yao
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Chunyan Liu
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Chong Zhang
College of Tropical Crops, Hainan University, Haikou 570228, China
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Cited
11 citations as recorded by crossref.
- Eco-optimizing rice-wheat system of Eastern Indo-Gangetic plains of India through resource conservation technologies: insights from field experiments and modeling K. Reddy et al. https://doi.org/10.3389/fsufs.2025.1499425
- Simulation of Soil Erosion and Particulate Nutrient Transport in a Catchment Using an Upgraded Hydrological Biogeochemical Model S. Li et al. https://doi.org/10.2139/ssrn.4200025
- Greenhouse Gas Footprints of Maize Cultivation Systems in Different Climate Zones: Field Data Validation and Application of CNMM–DNDC as a Hydro-Biogeochemical Model S. Li et al. https://doi.org/10.1007/s00376-025-4420-y
- Quantifying nitrogen loss responses to seasonal deluges and droughts: A modeling study in a subtropical agro-forest catchment, upper Yangtze River W. Zhang et al. https://doi.org/10.1016/j.ecohyd.2025.100706
- Modelling forest-atmosphere exchanges of carbon and water using an improved hydro-biogeochemical model in subtropical and temperate monsoon climates W. Zhang et al. https://doi.org/10.1016/j.ecolmodel.2025.111174
- Side-deep placement of controlled-release urea combined with alternate wetting and drying irrigation achieves sustainable intensification of rice production in the rice–wheat system Y. Wang et al. https://doi.org/10.1016/j.fcr.2025.110241
- Enabling a process-oriented hydro-biogeochemical model to simulate soil erosion and nutrient losses S. Li et al. https://doi.org/10.5194/bg-20-3555-2023
- Towards seamless environmental prediction – development of Pan-Eurasian EXperiment (PEEX) modelling platform A. Mahura et al. https://doi.org/10.1080/20964471.2024.2325019
- Shifting soil N regimes over a 70-year chronosequence of wetland reclamation and restoration K. Li et al. https://doi.org/10.1016/j.catena.2025.108727
- Spatial Heterogeneity in Temperature Elasticity of Agricultural Economic Production in Xinjiang Province, China S. Liu et al. https://doi.org/10.3390/su17177724
- A hybrid model based on machine learning and improved Jayaweera-Mikkelsen model to simulate NH3 volatilization in paddy field water X. Lang et al. https://doi.org/10.1016/j.agrformet.2025.110877
11 citations as recorded by crossref.
- Eco-optimizing rice-wheat system of Eastern Indo-Gangetic plains of India through resource conservation technologies: insights from field experiments and modeling K. Reddy et al. https://doi.org/10.3389/fsufs.2025.1499425
- Simulation of Soil Erosion and Particulate Nutrient Transport in a Catchment Using an Upgraded Hydrological Biogeochemical Model S. Li et al. https://doi.org/10.2139/ssrn.4200025
- Greenhouse Gas Footprints of Maize Cultivation Systems in Different Climate Zones: Field Data Validation and Application of CNMM–DNDC as a Hydro-Biogeochemical Model S. Li et al. https://doi.org/10.1007/s00376-025-4420-y
- Quantifying nitrogen loss responses to seasonal deluges and droughts: A modeling study in a subtropical agro-forest catchment, upper Yangtze River W. Zhang et al. https://doi.org/10.1016/j.ecohyd.2025.100706
- Modelling forest-atmosphere exchanges of carbon and water using an improved hydro-biogeochemical model in subtropical and temperate monsoon climates W. Zhang et al. https://doi.org/10.1016/j.ecolmodel.2025.111174
- Side-deep placement of controlled-release urea combined with alternate wetting and drying irrigation achieves sustainable intensification of rice production in the rice–wheat system Y. Wang et al. https://doi.org/10.1016/j.fcr.2025.110241
- Enabling a process-oriented hydro-biogeochemical model to simulate soil erosion and nutrient losses S. Li et al. https://doi.org/10.5194/bg-20-3555-2023
- Towards seamless environmental prediction – development of Pan-Eurasian EXperiment (PEEX) modelling platform A. Mahura et al. https://doi.org/10.1080/20964471.2024.2325019
- Shifting soil N regimes over a 70-year chronosequence of wetland reclamation and restoration K. Li et al. https://doi.org/10.1016/j.catena.2025.108727
- Spatial Heterogeneity in Temperature Elasticity of Agricultural Economic Production in Xinjiang Province, China S. Liu et al. https://doi.org/10.3390/su17177724
- A hybrid model based on machine learning and improved Jayaweera-Mikkelsen model to simulate NH3 volatilization in paddy field water X. Lang et al. https://doi.org/10.1016/j.agrformet.2025.110877
Saved (final revised paper)
Latest update: 05 Jun 2026
Short summary
The CNMM–DNDC model was modified to simulate ammonia volatilization (AV) from croplands. AV from cultivated uplands followed the first-order kinetics, which was jointly regulated by the factors of soil properties and meteorological conditions. AV simulation from rice paddy fields was improved by incorporating Jayaweera–Mikkelsen mechanisms. The modified model performed well in simulating the observed cumulative AV measured from 63 fertilization events in China.
The CNMM–DNDC model was modified to simulate ammonia volatilization (AV) from croplands. AV from...
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