The chemical dynamics of ammonia volatilization from aqueous solution

Moeller, Michael B.; Vlek, Paul L. G.

doi:10.1016/0004-6981(82)90388-2

Cited by 13 publications

(3 citation statements)

References 15 publications

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“…Our measurements have shown that substantial temperature gradients may be present at the surface (Figure 3 (b)), and presumably there are strong gradients of AN concentration and pH as well. We have recently obtained evidence for the existence of such gradients during field studies of NH3 loss from artificial tank systems and laboratory studies by Moeller and Vlek (1982) have also suggested that significant gradients in these parameters exist in the viscous aqueous sublayer. It seems likely therefore, that a predictive scheme like Equation (1) which employs the surface rather than the bulk PNw should be more successful, but the necessary measurements of surface temperature, AN concentration and pH will be more difficult to obtain than the corresponding bulk properties.…”

Section: Discussionmentioning

confidence: 99%

Water-air transfer resistance for ammonia from flooded rice

et al. 1988

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Vertical flux densities of ammonia, water vapour and sensible heat were measured over a flooded rice field in China following the application of ammonium bicarbonate fertilizer. Aqueous and gaseous phase transfer resistances for ammonia were deduced from these measurements. The aqueous phase resistance was maximal in the morning and least in the afternoon. Stable stratification of the floodwater immediately adjacent to the air-water interface was observed during the morning when evaporation rates were low, and may be responsible for inhibiting the transfer of ammonia to the atmosphere.

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Section: Discussionmentioning

confidence: 99%

Water-air transfer resistance for ammonia from flooded rice

et al. 1988

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“…Because the ammonia volatilization process is site-and soil-managementspecific, many factors, such as weather conditions (temperature, wind velocity), soil properties, and cultivation practices influence the ammonia volatilization process. [17][18][19] Furthermore, with variations in the climatic conditions and fragmentation of the rice planting area due to the dense population, the ammonia volatilization flux varied significantly in space and time. Thus, it is imperative to develop an efficient method to quantify the ammonia volatilization loss in TLR.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Ammonia Volatilization Loss from a Paddy Soil with Empirical and Mechanistic Models

Xie

Yuan

et al. 2021

CLEAN Soil Air Water

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Ammonia volatilization from agricultural land has a negative impact on the atmospheric, aqueous, and land environments. However, this process is still not fully understood. In this study, a 2-year field experiment is conducted in the Taihu Lake region of China to monitor ammonia volatilization from a paddy soil. The ammonia volatilization losses are in the range of 43.4 to 53.6 kg N ha −1 in the year 2013 and 25.9 to 35.4 kg N ha −1 in the year 2014, which account for 19.7% to 19.9% and 11.8% to 13.1% of the applied nitrogen with two different N treatments (N1: 220 kg N ha −1 , N2: 270 kg N ha −1 ). The ammonia volatilization loss is highest during the basal fertilizer application, followed by the tillering and the ear-differentiation stages. Then, two empirical models and one mechanistic model are used to simulate the ammonia volatilization process. These models are calibrated and validated with field experimental data. The results show that none of the three models accurately predict the ammonia volatilized from the rice field (R 2 < 0.40), however, among the three models evaluated, the mechanistic model is more effective in simulating the ammonia volatilization process (R 2 = 0.38).

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“…Jayaweera and Mikkelsen reviewed the concepts and performance of physically based models developed for the estimation of NH 3 volatilisation in flooded soil systems without a rice crop and in the absence of other N processes; for example, models of Bouwmeester and Vlek, Moeller and Vlek, and Jayaweera and Mikkelsen . Benbi and Richter reviewed the objectives and capabilities of about 20 soil N dynamics models, but the reviewed models were not applied to simulate N dynamics in flooded rice systems.…”

Section: Introductionmentioning

confidence: 99%

Nitrogen dynamics in flooded soil systems: an overview on concepts and performance of models

et al. 2017

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Extensive modelling studies on nitrogen (N) dynamics in flooded soil systems have been published. Consequently, many N dynamics models are available for users to select from. With the current research trend, inclined towards multidisciplinary research, and with substantial progress in understanding of N dynamics in flooded soil systems, the objective of this paper is to provide an overview of the modelling concepts and performance of 14 models developed to simulate N dynamics in flooded soil systems. This overview provides breadth of knowledge on the models, and, therefore, is valuable as a first step in the selection of an appropriate model for a specific application. © 2017 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

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The chemical dynamics of ammonia volatilization from aqueous solution

Cited by 13 publications

References 15 publications

Water-air transfer resistance for ammonia from flooded rice

Water-air transfer resistance for ammonia from flooded rice

Analysis of Ammonia Volatilization Loss from a Paddy Soil with Empirical and Mechanistic Models

Nitrogen dynamics in flooded soil systems: an overview on concepts and performance of models

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