Preprints
https://doi.org/10.5194/bg-2021-341
https://doi.org/10.5194/bg-2021-341
 
17 Jan 2022
17 Jan 2022
Status: a revised version of this preprint is currently under review for the journal BG.

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

Siqi Li1, Wei Zhang1, Xunhua Zheng1,2, Yong Li1, Shenghui Han1, Rui Wang1, Kai Wang1, Zhisheng Yao1, Chunyan Liu1, and Chong Zhang3 Siqi Li et al.
  • 1State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, P. R. China
  • 2College of Earth and Planetary Science, University of Chinese Academy of Sciences, Beijing 100049, P.R. China
  • 3College of Tropical Crops, Hainan University, Haikou 570228, China

Abstract. Accurate simulation of ammonia (NH3) volatilization from fertilized croplands is crucial to enhancing fertilizer-use efficiency and alleviating environmental pollution. In this study, a process-oriented model, CNMM-DNDC (Catchment Nutrient Management Model – DeNitrification-DeComposition), was evaluated and modified using NH3 volatilization observations from 44 and 19 fertilizer application events in cultivated upland areas and paddy rice fields in China, respectively. The original CNMM-DNDC model not only performed poorly in simulating NH3 volatilization from upland areas but also failed to simulate NH3 volatilization from paddy rice fields. In the modified CNMM-DNDC model, the major modifications for simulating NH3 volatilization from uplands were primarily derived from a peer-reviewed and published study. NH3 volatilization from uplands was jointly regulated by the factors of wind speed, soil depth, clay fraction, soil temperature, soil moisture, vegetation canopy, and rainfall-induced canopy wetting. Moreover, three principle modifications were made to simulate NH3 volatilization from paddy rice fields. First, the simulation of the floodwater layer and its pH were added. Second, the effect of algal growth on the diurnal fluctuation of floodwater pH was introduced. Finally, the Jayaweera-Mikkelsen model was introduced to simulate NH3 volatilization. The modified model showed remarkable performances in simulating the cumulative NH3 volatilization of the calibrated and validated cases, with drastically significant zero-intercept linear regression of slopes of 0.94 (R2 = 0.76, n = 40) and 0.98 (R2 = 0.71, n = 23), respectively. However, the volatilized NH3 simulated by the modified model still exhibited some deviation from the observations when deep/mixed-placement, irrigation/precipitation, and prosperous/depressed algal biomass accompanied the fertilizer application events. Future studies still need to solve these problems to further improve the performance of the modified model. Nevertheless, the modified model could provide an available method for developing NH3 emission inventories and reducing environmental pollutions.

Siqi Li et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on bg-2021-341', Anonymous Referee #1, 17 Feb 2022
  • RC2: 'Comment on bg-2021-341', Anonymous Referee #2, 04 Mar 2022

Siqi Li et al.

Viewed

Total article views: 560 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
448 95 17 560 24 6 9
  • HTML: 448
  • PDF: 95
  • XML: 17
  • Total: 560
  • Supplement: 24
  • BibTeX: 6
  • EndNote: 9
Views and downloads (calculated since 17 Jan 2022)
Cumulative views and downloads (calculated since 17 Jan 2022)

Viewed (geographical distribution)

Total article views: 565 (including HTML, PDF, and XML) Thereof 565 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 26 May 2022
Download
Short summary
The CNMM-DNDC model was modified to improve the simulation of ammonia volatilization from croplands. Ammonia volatilization from uplands was jointly regulated by the factors of soil properties and meteorological conditions. Ammonia volatilization from rice paddy fields were improved by incorporating Jayaweera-Mikkelsen mechanisms. The modified model showed remarkable performances in simulating the cumulative ammonia volatilization, testting by 63 ammonia volatilization observations in China.
Altmetrics