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    Methane Dynamics in Landfill Vegetated Covers: Steady-State Model for Oxidation and Diffusion

    Source: Journal of Environmental Engineering:;2025:;Volume ( 151 ):;issue: 001::page 04024070-1
    Author:
    Haijian Xie
    ,
    Xiaobin Chen
    ,
    Yanghui Shi
    ,
    Hamid Rajabi
    ,
    Huaxiang Yan
    DOI: 10.1061/JOEEDU.EEENG-7835
    Publisher: American Society of Civil Engineers
    Abstract: Recent advancements in landfill designs integrate vegetated covers as a sustainable layer to mitigate methane emissions. In this study, we developed a comprehensive analytical model incorporating diffusion, advection, oxidation, and root effects on methane and oxygen transport through landfill green covers. Root characteristics, including architecture, gas conductivity, depth, and density, were found to be influential parameters on methane oxidation and emission in vegetated covers. For example, at 0.4-m root depth, exponential versus uniform root distribution yields a 0.1221 difference in methane concentration for a root density of 105  m/m3. Roots with 3×10−5  m  air/m root gas conductivity achieved 13.3% methane oxidation efficiency. Increasing root depth and density extended the aerobic zone, but CH4 oxidation efficiency declined beyond the root density of 104  m/m3. We showed that vegetation cover elevates methane emission control, potentially meeting emission standards [e.g., carbon farming initiative (CFI)] with root densities exceeding 104  m/m3. The balance between atmospheric oxygen and soil methane affects oxidation, with higher air transport (λ=3×10−4  m  air/m root) resulting in 1.8% less methane oxidized. Overall, root–methane dynamics analysis should be optimized for efficient methane mitigation and control through landfill green cover systems.
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      Methane Dynamics in Landfill Vegetated Covers: Steady-State Model for Oxidation and Diffusion

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    contributor authorHaijian Xie
    contributor authorXiaobin Chen
    contributor authorYanghui Shi
    contributor authorHamid Rajabi
    contributor authorHuaxiang Yan
    date accessioned2025-04-20T10:32:41Z
    date available2025-04-20T10:32:41Z
    date copyright11/14/2024 12:00:00 AM
    date issued2025
    identifier otherJOEEDU.EEENG-7835.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4304926
    description abstractRecent advancements in landfill designs integrate vegetated covers as a sustainable layer to mitigate methane emissions. In this study, we developed a comprehensive analytical model incorporating diffusion, advection, oxidation, and root effects on methane and oxygen transport through landfill green covers. Root characteristics, including architecture, gas conductivity, depth, and density, were found to be influential parameters on methane oxidation and emission in vegetated covers. For example, at 0.4-m root depth, exponential versus uniform root distribution yields a 0.1221 difference in methane concentration for a root density of 105  m/m3. Roots with 3×10−5  m  air/m root gas conductivity achieved 13.3% methane oxidation efficiency. Increasing root depth and density extended the aerobic zone, but CH4 oxidation efficiency declined beyond the root density of 104  m/m3. We showed that vegetation cover elevates methane emission control, potentially meeting emission standards [e.g., carbon farming initiative (CFI)] with root densities exceeding 104  m/m3. The balance between atmospheric oxygen and soil methane affects oxidation, with higher air transport (λ=3×10−4  m  air/m root) resulting in 1.8% less methane oxidized. Overall, root–methane dynamics analysis should be optimized for efficient methane mitigation and control through landfill green cover systems.
    publisherAmerican Society of Civil Engineers
    titleMethane Dynamics in Landfill Vegetated Covers: Steady-State Model for Oxidation and Diffusion
    typeJournal Article
    journal volume151
    journal issue1
    journal titleJournal of Environmental Engineering
    identifier doi10.1061/JOEEDU.EEENG-7835
    journal fristpage04024070-1
    journal lastpage04024070-10
    page10
    treeJournal of Environmental Engineering:;2025:;Volume ( 151 ):;issue: 001
    contenttypeFulltext
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