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Landfill Storage Capacity Analysis Method by Considering Foundation Settlement and Its Application

  • Hai-Long LiuEmail author
  • Zhuo-Fei Wu
  • Yu-Chao Li
Conference paper
Part of the Environmental Science and Engineering book series (ESE)

Abstract

The increase of municipal solid waste (MSW) and the reduction of available urban land lead to the development of large-scale landfill. The landfill foundation is assumed to be rigid in existing models for calculating landfill compression. The self-weight of MSW increases with landfill expansion, and the landfill foundation settlement should not be ignored anymore. The estimation of landfill foundation settlement is of great importance in predicting landfill storage capacity and for the design of effective long-term landfill facilities. The implemented model for calculating landfill compression displacement and storage capacity is able to consider increase in foundation settlement induced by landfilling process. A calculation program is developed base on this proposed model, which can estimate landfill storage capacity. The quantitative effects of initial compaction on MSW landfill settlement and storage capacity are investigated by using the program via consideration of a hypothetical case. According to the investigation, a significant increase in storage capacity can be achieved by rational use of landfill foundation compression and intensive initial compaction. The quantitative investigation presented aims to encourage landfill operators to improve management to enhance storage capacity. Furthermore, prediction of landfill foundation settlement is helpful to protect leachate and gas management infrastructure at bottom of modern landfills.

Keywords

Landfill Compression Foundation settlement Storage capacity 

Notes

Acknowledgements

The comments and suggestions of the reviewers are appreciated. The financial support received from the Fundamental Research Funds for the Central Universities of China (Grant No. 3132016342) are gratefully acknowledged.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Dalian Maritime UniversityDalianChina
  2. 2.Zhejiang UniversityHangzhouChina

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