A new exponential model for predicting soil gas diffusivity with varying degree of saturation

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Standard

A new exponential model for predicting soil gas diffusivity with varying degree of saturation. / Lakshani, M. M. T.; Chamindu Deepagoda, T. K. K. ; Hamamoto, Shoichiro; Elberling, Bo; Fu, Wei; Yang, Ting; Fan, Jun; Ma, Xiaoyi; Clough, Timothy; Smits, Kathleen M.; Parameswaran, T. G.; Sivakumar Babu, G. L.; Chanakya, H.

I: Vadose Zone Journal, Bind 22, Nr. 1, e20236, 2023.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Lakshani, MMT, Chamindu Deepagoda, TKK, Hamamoto, S, Elberling, B, Fu, W, Yang, T, Fan, J, Ma, X, Clough, T, Smits, KM, Parameswaran, TG, Sivakumar Babu, GL & Chanakya, H 2023, 'A new exponential model for predicting soil gas diffusivity with varying degree of saturation', Vadose Zone Journal, bind 22, nr. 1, e20236. https://doi.org/10.1002/vzj2.20236

APA

Lakshani, M. M. T., Chamindu Deepagoda, T. K. K., Hamamoto, S., Elberling, B., Fu, W., Yang, T., Fan, J., Ma, X., Clough, T., Smits, K. M., Parameswaran, T. G., Sivakumar Babu, G. L., & Chanakya, H. (2023). A new exponential model for predicting soil gas diffusivity with varying degree of saturation. Vadose Zone Journal, 22(1), [e20236]. https://doi.org/10.1002/vzj2.20236

Vancouver

Lakshani MMT, Chamindu Deepagoda TKK, Hamamoto S, Elberling B, Fu W, Yang T o.a. A new exponential model for predicting soil gas diffusivity with varying degree of saturation. Vadose Zone Journal. 2023;22(1). e20236. https://doi.org/10.1002/vzj2.20236

Author

Lakshani, M. M. T. ; Chamindu Deepagoda, T. K. K. ; Hamamoto, Shoichiro ; Elberling, Bo ; Fu, Wei ; Yang, Ting ; Fan, Jun ; Ma, Xiaoyi ; Clough, Timothy ; Smits, Kathleen M. ; Parameswaran, T. G. ; Sivakumar Babu, G. L. ; Chanakya, H. / A new exponential model for predicting soil gas diffusivity with varying degree of saturation. I: Vadose Zone Journal. 2023 ; Bind 22, Nr. 1.

Bibtex

@article{7bfff067f8ac4a9e9a6e5643dfdbc0ef,
title = "A new exponential model for predicting soil gas diffusivity with varying degree of saturation",
abstract = "Soil gas diffusivity (Dp/Do, gas diffusion coefficients in soil and in free air, respectively) and its relation to soil moisture is of great importance for describing and quantifying essential provisional and regulatory functions associated with terrestrial ecosystems such as soil aeration and greenhouse gas (GHG) emissions. Because gas migration in terrestrial soil systems is predominantly diffusion controlled, soil gas diffusivity becomes a fundamental prerequisite to quantify diffusive gas fluxes. Descriptive–predictive models are often used to estimate Dp/Do from easily measurable soil physical properties. Most of the available models take the form of power-law functions and often tend to mischaracterize soil moisture effects at high moisture regimes. Based on a wide range Dp/Do data available in literature representing both intact and repacked soils, this study developed a novel air-saturation-dependent exponential (ASEX) gas diffusivity model to model Dp/Do in relation to soil air saturation. The model variable α, which represents the diffusivity at half air saturation normalized by the same in complete soil air saturation, could potentially differentiate moisture effects on different soil structural states. For specific applications in intact soils, we propose corresponding α values for upper-limit (α =.6) and lower-limit (α =.05) estimates of diffusivity, while an average value (α =.3) for general applications in both intact and repacked soils. As expected, our model based on a few a priori measured supportive data showed a better performance over the classical predictive models that do not use such measurements. The new model was further used to derive useful implications to showcase soil density effects on Dp/Do.",
author = "Lakshani, {M. M. T.} and {Chamindu Deepagoda}, {T. K. K.} and Shoichiro Hamamoto and Bo Elberling and Wei Fu and Ting Yang and Jun Fan and Xiaoyi Ma and Timothy Clough and Smits, {Kathleen M.} and Parameswaran, {T. G.} and {Sivakumar Babu}, {G. L.} and H. Chanakya",
note = "CENPERMOA[2023] Publisher Copyright: {\textcopyright} 2022 The Authors. Vadose Zone Journal published by Wiley Periodicals LLC on behalf of Soil Science Society of America.",
year = "2023",
doi = "10.1002/vzj2.20236",
language = "English",
volume = "22",
journal = "Vadose Zone Journal",
issn = "1539-1663",
publisher = "GeoScienceWorld",
number = "1",

}

RIS

TY - JOUR

T1 - A new exponential model for predicting soil gas diffusivity with varying degree of saturation

AU - Lakshani, M. M. T.

AU - Chamindu Deepagoda, T. K. K.

AU - Hamamoto, Shoichiro

AU - Elberling, Bo

AU - Fu, Wei

AU - Yang, Ting

AU - Fan, Jun

AU - Ma, Xiaoyi

AU - Clough, Timothy

AU - Smits, Kathleen M.

AU - Parameswaran, T. G.

AU - Sivakumar Babu, G. L.

AU - Chanakya, H.

N1 - CENPERMOA[2023] Publisher Copyright: © 2022 The Authors. Vadose Zone Journal published by Wiley Periodicals LLC on behalf of Soil Science Society of America.

PY - 2023

Y1 - 2023

N2 - Soil gas diffusivity (Dp/Do, gas diffusion coefficients in soil and in free air, respectively) and its relation to soil moisture is of great importance for describing and quantifying essential provisional and regulatory functions associated with terrestrial ecosystems such as soil aeration and greenhouse gas (GHG) emissions. Because gas migration in terrestrial soil systems is predominantly diffusion controlled, soil gas diffusivity becomes a fundamental prerequisite to quantify diffusive gas fluxes. Descriptive–predictive models are often used to estimate Dp/Do from easily measurable soil physical properties. Most of the available models take the form of power-law functions and often tend to mischaracterize soil moisture effects at high moisture regimes. Based on a wide range Dp/Do data available in literature representing both intact and repacked soils, this study developed a novel air-saturation-dependent exponential (ASEX) gas diffusivity model to model Dp/Do in relation to soil air saturation. The model variable α, which represents the diffusivity at half air saturation normalized by the same in complete soil air saturation, could potentially differentiate moisture effects on different soil structural states. For specific applications in intact soils, we propose corresponding α values for upper-limit (α =.6) and lower-limit (α =.05) estimates of diffusivity, while an average value (α =.3) for general applications in both intact and repacked soils. As expected, our model based on a few a priori measured supportive data showed a better performance over the classical predictive models that do not use such measurements. The new model was further used to derive useful implications to showcase soil density effects on Dp/Do.

AB - Soil gas diffusivity (Dp/Do, gas diffusion coefficients in soil and in free air, respectively) and its relation to soil moisture is of great importance for describing and quantifying essential provisional and regulatory functions associated with terrestrial ecosystems such as soil aeration and greenhouse gas (GHG) emissions. Because gas migration in terrestrial soil systems is predominantly diffusion controlled, soil gas diffusivity becomes a fundamental prerequisite to quantify diffusive gas fluxes. Descriptive–predictive models are often used to estimate Dp/Do from easily measurable soil physical properties. Most of the available models take the form of power-law functions and often tend to mischaracterize soil moisture effects at high moisture regimes. Based on a wide range Dp/Do data available in literature representing both intact and repacked soils, this study developed a novel air-saturation-dependent exponential (ASEX) gas diffusivity model to model Dp/Do in relation to soil air saturation. The model variable α, which represents the diffusivity at half air saturation normalized by the same in complete soil air saturation, could potentially differentiate moisture effects on different soil structural states. For specific applications in intact soils, we propose corresponding α values for upper-limit (α =.6) and lower-limit (α =.05) estimates of diffusivity, while an average value (α =.3) for general applications in both intact and repacked soils. As expected, our model based on a few a priori measured supportive data showed a better performance over the classical predictive models that do not use such measurements. The new model was further used to derive useful implications to showcase soil density effects on Dp/Do.

U2 - 10.1002/vzj2.20236

DO - 10.1002/vzj2.20236

M3 - Journal article

AN - SCOPUS:85142802461

VL - 22

JO - Vadose Zone Journal

JF - Vadose Zone Journal

SN - 1539-1663

IS - 1

M1 - e20236

ER -

ID: 328731150