Pore network modeling as a new tool for determining gas diffusivity in peat
نویسندگان
چکیده
Abstract. Peatlands are globally significant carbon stocks and may become major sources of the greenhouse gases (GHGs) dioxide methane in a changing climate under anthropogenic management pressure. Diffusion is dominant gas transport mechanism peat; therefore, proper knowledge soil diffusion coefficient important for estimation GHG emissions from peatlands. Pore network modeling (PNM) potential tool determination diffusivity peat, as it explicitly connects peat microstructure characteristics pore to macroscopic properties. In present work, we extracted macropore networks three-dimensional X-ray micro-computed tomography (µCT) images samples simulated these using PNM. These results were compared coefficients determined same laboratory chamber method. The measurements simulations conducted three depths. varying water contents adjusted pressure plate apparatus. We also assessed applicability commonly used models peat. showed decrease with depth due air-filled porosity space connectivity. However, was not extremely low close saturation, which indicate that structure such enables presence connected pathways through matrix, even wet conditions. traditional very successful predicting coefficient. This differs considerably mineral soils other kinds porous materials have been constructed calibrated. By contrast, reproduced laboratory-determined rather well. Thus, combination µCT PNM methods offer promising alternative measurements.
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ژورنال
عنوان ژورنال: Biogeosciences
سال: 2022
ISSN: ['1726-4189', '1726-4170']
DOI: https://doi.org/10.5194/bg-19-5041-2022