Effect of Soil Volumetric Water Content on the CO 2 Diffusion Coefficient

Qisong Sun, Junguo Hu (), Junjie Jiang, Kechen Gu, Chao Zhu, Chenxin Pan and Wenjie Yin
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Qisong Sun: School of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou 311300, China
Junguo Hu: School of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou 311300, China
Junjie Jiang: School of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou 311300, China
Kechen Gu: School of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou 311300, China
Chao Zhu: School of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou 311300, China
Chenxin Pan: School of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou 311300, China
Wenjie Yin: School of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou 311300, China

Sustainability, 2023, vol. 15, issue 16, 1-15

Abstract: Purpose: The soil air diffusion coefficient ( D s ) is particularly important for the study of soil gas diffusion movement, and there are still many uncertainties in the widely used methods; as such, a method was designed to in situ measure the soil gas diffusion coefficient. Methods: Four different soil media were selected and studied by means of a designed in situ measurement of soil gas diffusion coefficients, and these were compared and analyzed with the predictions of several commonly used prediction models. In addition, they were combined with gas transport models to validate the results of the empirical models that were obtained by the in situ measurements. Results: The results of the data indicate that increasing the volumetric soil moisture content decreases the soil gas diffusion coefficient, with changes in the soil gas diffusion coefficient for the small-grained quartz sand medium being similar to those predicted by the Buckingham model. The soil gas diffusion coefficients for the large-grained quartz sand were similar to the Millington and Quirk model predictions at low humidity; for increased humidity, it was instead similar to the Buckingham model predictions. The soil gas diffusion coefficients of the two active media were closer to those of the SWLR model with high C m . In addition, the R 2 of the measured data was verified, by empirical modeling, to be greater than 0.54, and inversion experiments were conducted to verify that the results were consistent with those of the SWLR model. Conclusion: When measuring relative diffusion coefficients in the field, we recommend the in situ measurement method, which is more reflective of the actual situation in natural environments and provides more accurate data support for soil carbon flux studies.

Keywords: soil gas diffusion coefficient; soil moisture; porosity; soil respiration; soil CO 2 concentration (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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