Update of a biogeochemical model with process-based algorithms to predict ammonia volatilization from fertilized cultivated uplands and rice paddy fields

Li, Siqi; Zhang, Wei; Zheng, Xunhua; Li, Yong; Han, Shenghui; Wang, Rui; Wang, Kai; Yao, Zhisheng; Liu, Chunyan; Zhang, Chong

doi:https://doi.org/10.5194/bg-19-3001-2022

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.

https://doi.org/10.5194/bg-19-3001-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 12

Research article

|

22 Jun 2022

Research article |

| 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, Wei Zhang, Xunhua Zheng, Yong Li, Shenghui Han, Rui Wang, Kai Wang, Zhisheng Yao, Chunyan Liu, and Chong Zhang

Supplement

https://doi.org/10.5194/bg-19-3001-2022-supplement

Model code and software

Code and executive program_data for bg_2022 Siqi Li https://doi.org/10.6084/m9.figshare.19388756.v3

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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.