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Modeling gas in aggregated 7 May 2020

region model developed in the study could adequately parameterize and characterize the - gas diffusivity in selected bimodal soils outperforming the conventional models.

The developed two-region model provides a tool to accurately estimate gas diffusion in aggregated soils, thus providing models to quantify the gas exchange between soil and with respect to different and management practices.

More information: J.R.R.N. Jayarathne et al, Gas?Diffusivity based characterization of aggregated agricultural soils, Society of America Journal (2020). DOI: Navodi Jayarathne prepares samples for gas diffusivity 10.1002/saj2.20033 measurement. Credit: Timothy Clough

Provided by American Society of Agronomy Agricultural soils contribute to 16% of total Greenhouse gas emissions, particularly nitrous oxide (N2O). Migration of gases in agricultural subsurface and emission across the soil- atmosphere interface is primarily diffusion- controlled and is explained by soil-gas diffusivity. Since experimental determination of soil-gas diffusivity demands expensive apparatus and time- consuming controlled laboratory measures, predictive models are commonly used to estimate diffusivity from easy-to-measure soil properties like soil total porosity and soil-air content.

In a recently published article in the Soil Science Society of America Journal, researchers introduced a descriptive soil-gas diffusivity model. Presented as a two-region soil gas diffusivity model, it was developed based on measured gas diffusivity data taken from two agricultural soils from Peradeniya- Sri Lanka under different soil density conditions.

Researchers identified that pore network in agricultural soils exhibits two distinct pore regions: inter-aggregate and intra-aggregate. As such, they constitute a bimodal pore structure. The Two-

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APA citation: Modeling gas diffusion in aggregated soils (2020, May 7) retrieved 26 September 2021 from https://phys.org/news/2020-05-gas-diffusion-aggregated-soils.html

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