Articles | Volume 19, issue 12
Biogeosciences, 19, 3001–3019, 2022
https://doi.org/10.5194/bg-19-3001-2022
Biogeosciences, 19, 3001–3019, 2022
https://doi.org/10.5194/bg-19-3001-2022
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 et al.

Viewed

Total article views: 864 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
688 153 23 864 42 9 15
  • HTML: 688
  • PDF: 153
  • XML: 23
  • Total: 864
  • Supplement: 42
  • BibTeX: 9
  • EndNote: 15
Views and downloads (calculated since 17 Jan 2022)
Cumulative views and downloads (calculated since 17 Jan 2022)

Viewed (geographical distribution)

Total article views: 835 (including HTML, PDF, and XML) Thereof 835 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Aug 2022
Download
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.
Altmetrics
Final-revised paper
Preprint