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Simulation of gas transport in a landfill with layered new and old municipal solid waste
Average biodegradation rate of newly filled municipal solid waste (MSW) in landfills is relatively fast, and the landfill gas produced by the new MSW biodegradation can cause great variations in gas pressure. To predict the gas pressure distribution in the MSW layer, a one-dimensional gas transport...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093249/ https://www.ncbi.nlm.nih.gov/pubmed/33941823 http://dx.doi.org/10.1038/s41598-021-88858-5 |
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author | Zhang, Tao Shi, Jianyong Wu, Xun Lin, Hai Li, Xiulei |
author_facet | Zhang, Tao Shi, Jianyong Wu, Xun Lin, Hai Li, Xiulei |
author_sort | Zhang, Tao |
collection | PubMed |
description | Average biodegradation rate of newly filled municipal solid waste (MSW) in landfills is relatively fast, and the landfill gas produced by the new MSW biodegradation can cause great variations in gas pressure. To predict the gas pressure distribution in the MSW layer, a one-dimensional gas transport model is established in this study. The following factors are considered in this model: (1) the variation of gas permeability with depth; (2) the anisotropy ratio of gas permeability; (3) the settlement caused by waste biodegradation. Furthermore, a single peak model for gas production is applied as the source term of gas production. The equation for settlement caused by waste biodegradation is presented, and the time of peak gas production rate is obtained by fitting the settlement of the newly filled layer. The stratification of the unsaturated and saturated regions is taken into account by distinguishing the difference in gas saturation. The layering of the new and old waste layers is considered by distinguishing the difference in the length of time that waste has been degraded to produce gas. Based on the method of numerical calculation, the gas pressure distribution in the landfill with layered new and old MSW is well simulated. The position where the maximum gas pressure occurs is found. The sensitivity analysis shows that the influence of the anisotropy ratio on gas pressure distribution is more significant. |
format | Online Article Text |
id | pubmed-8093249 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80932492021-05-05 Simulation of gas transport in a landfill with layered new and old municipal solid waste Zhang, Tao Shi, Jianyong Wu, Xun Lin, Hai Li, Xiulei Sci Rep Article Average biodegradation rate of newly filled municipal solid waste (MSW) in landfills is relatively fast, and the landfill gas produced by the new MSW biodegradation can cause great variations in gas pressure. To predict the gas pressure distribution in the MSW layer, a one-dimensional gas transport model is established in this study. The following factors are considered in this model: (1) the variation of gas permeability with depth; (2) the anisotropy ratio of gas permeability; (3) the settlement caused by waste biodegradation. Furthermore, a single peak model for gas production is applied as the source term of gas production. The equation for settlement caused by waste biodegradation is presented, and the time of peak gas production rate is obtained by fitting the settlement of the newly filled layer. The stratification of the unsaturated and saturated regions is taken into account by distinguishing the difference in gas saturation. The layering of the new and old waste layers is considered by distinguishing the difference in the length of time that waste has been degraded to produce gas. Based on the method of numerical calculation, the gas pressure distribution in the landfill with layered new and old MSW is well simulated. The position where the maximum gas pressure occurs is found. The sensitivity analysis shows that the influence of the anisotropy ratio on gas pressure distribution is more significant. Nature Publishing Group UK 2021-05-03 /pmc/articles/PMC8093249/ /pubmed/33941823 http://dx.doi.org/10.1038/s41598-021-88858-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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 | Article Zhang, Tao Shi, Jianyong Wu, Xun Lin, Hai Li, Xiulei Simulation of gas transport in a landfill with layered new and old municipal solid waste |
title | Simulation of gas transport in a landfill with layered new and old municipal solid waste |
title_full | Simulation of gas transport in a landfill with layered new and old municipal solid waste |
title_fullStr | Simulation of gas transport in a landfill with layered new and old municipal solid waste |
title_full_unstemmed | Simulation of gas transport in a landfill with layered new and old municipal solid waste |
title_short | Simulation of gas transport in a landfill with layered new and old municipal solid waste |
title_sort | simulation of gas transport in a landfill with layered new and old municipal solid waste |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093249/ https://www.ncbi.nlm.nih.gov/pubmed/33941823 http://dx.doi.org/10.1038/s41598-021-88858-5 |
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