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A Gas Diffusion Analysis Method for Simulating Surface Nitrous Oxide Emissions in Soil Gas Concentrations Measurement

Author

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  • K. M. T. S. Bandara

    (United Graduate School of Agricultural Sciences, Kagoshima University, 1-21-24 Korimoto, Kagoshima 890-0065, Japan
    Department of Agricultural Engineering, Faculty of Agriculture, University of Ruhuna, Kamburupitiya 81100, Sri Lanka)

  • Kazuhito Sakai

    (United Graduate School of Agricultural Sciences, Kagoshima University, 1-21-24 Korimoto, Kagoshima 890-0065, Japan
    Faculty of Agriculture, University of the Ryukyus, 1 Senbaru, Okinawa 903-0213, Japan)

  • Tamotsu Nakandakari

    (United Graduate School of Agricultural Sciences, Kagoshima University, 1-21-24 Korimoto, Kagoshima 890-0065, Japan
    Faculty of Agriculture, University of the Ryukyus, 1 Senbaru, Okinawa 903-0213, Japan)

  • Kozue Yuge

    (United Graduate School of Agricultural Sciences, Kagoshima University, 1-21-24 Korimoto, Kagoshima 890-0065, Japan
    Faculty of Agriculture, Saga University, 1 Honjo-machi, Saga 840-8502, Japan)

Abstract

The detection of low gas concentrations from the soil surface demands expensive high-precision devices to estimate nitrous oxide (N 2 O) flux. As the prevalence of N 2 O concentration in the soil atmosphere is higher than its surface, the present study aimed to simulate N 2 O surface flux (CF) from soil gas measured in a soil-interred silicone diffusion cell using a low-cost device. The methodological steps included the determination of the diffusion coefficient of silicone membrane ( D slcn ), the measurement of the temporal variations in the N 2 O gas in the soil ( C si ) and on the surface (MF), and the development of a simulation process for predicting CF. Two experiments varying the procedure and periods of soil moisture saturation in each fertilized soil sample were conducted to detect C si and MF. Using D slcn and C si , the variations in the soil gas ( C soil ) were predicted by solving the diffusion equation using the implicit finite difference analysis method. Similarly, using six soil gas diffusivity models, the CF values were simulated from C soil . For both experiments, statistical tests confirmed the good agreement of CF with MF for soil gas diffusivity models 4 and 5. We suggest that the tested simulation method is appropriate for predicting N 2 O surface emissions.

Suggested Citation

  • K. M. T. S. Bandara & Kazuhito Sakai & Tamotsu Nakandakari & Kozue Yuge, 2022. "A Gas Diffusion Analysis Method for Simulating Surface Nitrous Oxide Emissions in Soil Gas Concentrations Measurement," Agriculture, MDPI, vol. 12(8), pages 1-16, July.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:8:p:1098-:d:872221
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    References listed on IDEAS

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    1. Kees Jan van Groenigen & Craig W. Osenberg & Bruce A. Hungate, 2011. "Increased soil emissions of potent greenhouse gases under increased atmospheric CO2," Nature, Nature, vol. 475(7355), pages 214-216, July.
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    Cited by:

    1. Dengpan Xiao & Wenjiao Shi, 2023. "Modeling the Adaptation of Agricultural Production to Climate Change," Agriculture, MDPI, vol. 13(2), pages 1-4, February.

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