Your browser doesn't support javascript.
loading
Compressibility characteristics of municipal solid waste considering multiple factors.
Lou, Yangfan; Zhang, Zhenying; Li, Tuo; Zhang, Youwen; Chen, Wenjie.
Afiliação
  • Lou Y; School of Civil Engineering and Architecture, Zhejiang Sci-Tech University, Hangzhou, 310018, China.
  • Zhang Z; School of Engineering Science, Shandong Xiehe University, Jinan, 250109, China. zhangzhenyinga@163.com.
  • Li T; School of Civil Engineering and Architecture, Zhejiang Sci-Tech University, Hangzhou, 310018, China. zhangzhenyinga@163.com.
  • Zhang Y; School of Civil Engineering and Architecture, Zhejiang Sci-Tech University, Hangzhou, 310018, China.
  • Chen W; School of Civil Engineering and Architecture, Zhejiang Sci-Tech University, Hangzhou, 310018, China.
Environ Sci Pollut Res Int ; 31(31): 44401-44414, 2024 Jul.
Article em En | MEDLINE | ID: mdl-38954329
ABSTRACT
Borehole samples were collected from a municipal solid waste (MSW) landfill in Xi'an, China, and subjected to a series of basic geotechnical and compression tests. This study aims to investigate the influence of composition, dry unit weight, moisture content, organic content, and landfill age on the compressibility of MSW. The results show that with increasing landfill age, the compressible components and organic content exhibit a decreasing trend while the dry unit weight increases. The moisture content does not vary significantly. There is also a linear trend between the logarithm of the primary compression strain and vertical stress. In addition, with an increase in compressible components content, moisture content, and organic content, the modified primary compression index (Cc') shows an increasing trend, whereas with an increase in dry unit weight and landfill age, Cc' shows a decreasing trend. Furthermore, regarding the 34 sets of data, authors only selected five data points for a detailed comparative analysis, this decision was made on the basis that these data points are representative. A modified primary compression index prediction model that considers the dry unit weight, moisture content, and landfill age of the MSW as influencing factors results in a fitting coefficient of 0.797. The Cc' values in this study are within the range of 0.12 to 0.36. These findings provide a reference for the vertical expansion design of existing landfills.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Resíduos Sólidos / Eliminação de Resíduos / Instalações de Eliminação de Resíduos País/Região como assunto: Asia Idioma: En Revista: Environ Sci Pollut Res Int Assunto da revista: SAUDE AMBIENTAL / TOXICOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Resíduos Sólidos / Eliminação de Resíduos / Instalações de Eliminação de Resíduos País/Região como assunto: Asia Idioma: En Revista: Environ Sci Pollut Res Int Assunto da revista: SAUDE AMBIENTAL / TOXICOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Alemanha