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Numerical model for static chamber measurement of multi-component landfill gas emissions and its application

The quantitative assessment of landfill gas emissions is essential to assess the performance of the landfill cover and gas collection system. The relative error of the measured surface emission of landfill gas may be induced by the static flux chamber technique. This study aims to quantify effects o...

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Autores principales: Xie, Haijian, Zuo, Xinru, Chen, Yunmin, Yan, Huaxiang, Ni, Junjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550682/
https://www.ncbi.nlm.nih.gov/pubmed/35635673
http://dx.doi.org/10.1007/s11356-022-20951-2
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author Xie, Haijian
Zuo, Xinru
Chen, Yunmin
Yan, Huaxiang
Ni, Junjun
author_facet Xie, Haijian
Zuo, Xinru
Chen, Yunmin
Yan, Huaxiang
Ni, Junjun
author_sort Xie, Haijian
collection PubMed
description The quantitative assessment of landfill gas emissions is essential to assess the performance of the landfill cover and gas collection system. The relative error of the measured surface emission of landfill gas may be induced by the static flux chamber technique. This study aims to quantify effects of the size of the chamber, the insertion depth, pressure differential on the relative errors by using an integrated approach of in situ tests, and numerical modeling. A field experiment study of landfill gas emission is conducted by using a static chamber at one landfill site in Xi’an, Northwest China. Additionally, a two-dimensional axisymmetric numerical model for multi-component gas transport in the soil and the static chamber is developed based on the dusty-gas model (DGM). The proposed model is validated by the field data obtained in this study and a set of experimental data in the literature. The results show that DGM model has a better capacity to predict gas transport under a wider range of permeability compared to Blanc’s method. This is due to the fact that DGM model can explain the interaction among gases (e.g., CH(4), CO(2), O(2), and N(2)) and the Knudsen diffusion process while these mechanisms are not included in Blanc’s model. Increasing the size and the insertion depth of static chambers can reduce the relative error for the flux of CH(4) and CO(2). For example, increasing the height of chambers from 0.55 to 1.1 m can decrease relative errors of CH(4) and CO(2) flux by 17% and 18%, respectively. Moreover, we find that gas emission fluxes for the case with positive pressure differential (∆P(in-out)) are greater than that of the case without considering pressure fluctuations. The Monte Carlo method was adopted to carry out the statistical analysis for quantifying the range of relative errors. The agreement of the measured field data and predicted results demonstrated that the proposed model has the capacity to quantify the emission of landfill gas from the landfill cover systems.
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spelling pubmed-95506822022-10-12 Numerical model for static chamber measurement of multi-component landfill gas emissions and its application Xie, Haijian Zuo, Xinru Chen, Yunmin Yan, Huaxiang Ni, Junjun Environ Sci Pollut Res Int Research Article The quantitative assessment of landfill gas emissions is essential to assess the performance of the landfill cover and gas collection system. The relative error of the measured surface emission of landfill gas may be induced by the static flux chamber technique. This study aims to quantify effects of the size of the chamber, the insertion depth, pressure differential on the relative errors by using an integrated approach of in situ tests, and numerical modeling. A field experiment study of landfill gas emission is conducted by using a static chamber at one landfill site in Xi’an, Northwest China. Additionally, a two-dimensional axisymmetric numerical model for multi-component gas transport in the soil and the static chamber is developed based on the dusty-gas model (DGM). The proposed model is validated by the field data obtained in this study and a set of experimental data in the literature. The results show that DGM model has a better capacity to predict gas transport under a wider range of permeability compared to Blanc’s method. This is due to the fact that DGM model can explain the interaction among gases (e.g., CH(4), CO(2), O(2), and N(2)) and the Knudsen diffusion process while these mechanisms are not included in Blanc’s model. Increasing the size and the insertion depth of static chambers can reduce the relative error for the flux of CH(4) and CO(2). For example, increasing the height of chambers from 0.55 to 1.1 m can decrease relative errors of CH(4) and CO(2) flux by 17% and 18%, respectively. Moreover, we find that gas emission fluxes for the case with positive pressure differential (∆P(in-out)) are greater than that of the case without considering pressure fluctuations. The Monte Carlo method was adopted to carry out the statistical analysis for quantifying the range of relative errors. The agreement of the measured field data and predicted results demonstrated that the proposed model has the capacity to quantify the emission of landfill gas from the landfill cover systems. Springer Berlin Heidelberg 2022-05-30 2022 /pmc/articles/PMC9550682/ /pubmed/35635673 http://dx.doi.org/10.1007/s11356-022-20951-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Xie, Haijian
Zuo, Xinru
Chen, Yunmin
Yan, Huaxiang
Ni, Junjun
Numerical model for static chamber measurement of multi-component landfill gas emissions and its application
title Numerical model for static chamber measurement of multi-component landfill gas emissions and its application
title_full Numerical model for static chamber measurement of multi-component landfill gas emissions and its application
title_fullStr Numerical model for static chamber measurement of multi-component landfill gas emissions and its application
title_full_unstemmed Numerical model for static chamber measurement of multi-component landfill gas emissions and its application
title_short Numerical model for static chamber measurement of multi-component landfill gas emissions and its application
title_sort numerical model for static chamber measurement of multi-component landfill gas emissions and its application
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550682/
https://www.ncbi.nlm.nih.gov/pubmed/35635673
http://dx.doi.org/10.1007/s11356-022-20951-2
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