Reliability assessment of field performance of in-service landfill cover systems under humid climates

Landfill cover systems face various uncertainties throughout their service life. Previous studies have typically analysed their performance deterministically, focusing on limited time frames. This study investigated the effectiveness of landfill covers over a 100 year service life using reliability-based approaches. Uncertainties related to in-service three-layer landfill covers in Shenzhen, including material properties, plant characteristics and rainfall features, were quantified. A numerical model was validated through field-monitored atmospheric and percolation data. Numerical parametric studies were then conducted to predict the probability of failure (pf) over a 100 year service life. The measured maximum annual percolation for a cover using recycled concrete aggregates (RCAs) was 22·3 mm (40 months of monitoring), approximately 16% and 11% lower than for non-vegetated (26·6 mm) and vegetated (25·0 mm) covers using natural soils (90 months of monitoring). Although planting vegetation decreases pf of a cover using natural soils by at least 43% compared to a non-vegetated cover, reducing the saturated permeability (ks) of the bottom layer is more effective. This is because the bottom layer of a cover using RCAs had only 17% of the value of ks for a cover using natural soils, resulting in a pf value three orders of magnitude lower. Despite this, the three-layer landfill covers using different materials possess a service life that exceeds 100 years.

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Publication Details

Journal
Géotechnique
Published
2025-09-22
DOI
https://doi.org/10.1680/jgeot.25.00038
Citations
1
Primary Topic
Soil and Unsaturated Flow
Type
article
Field-Weighted Citation Impact
0.95
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article

Reliability assessment of field performance of in-service landfill cover systems under humid climates

Chuanxiang Qu, Haowen Guo, Chen Hong-qi, Charles Wang Wai Ng et al.
1 citations
Géotechnique
Soil and Unsaturated Flow
0.95
article

Reliability assessment of field performance of in-service landfill cover systems under humid climates

Chuanxiang Qu, Haowen Guo, Chen Hong-qi, Charles Wang Wai Ng, Yanmin Zhang, Wei Wei
article en
1 citations

Abstract

Landfill cover systems face various uncertainties throughout their service life. Previous studies have typically analysed their performance deterministically, focusing on limited time frames. This study investigated the effectiveness of landfill covers over a 100 year service life using reliability-based approaches. Uncertainties related to in-service three-layer landfill covers in Shenzhen, including material properties, plant characteristics and rainfall features, were quantified. A numerical model was validated through field-monitored atmospheric and percolation data. Numerical parametric studies were then conducted to predict the probability of failure (pf) over a 100 year service life. The measured maximum annual percolation for a cover using recycled concrete aggregates (RCAs) was 22·3 mm (40 months of monitoring), approximately 16% and 11% lower than for non-vegetated (26·6 mm) and vegetated (25·0 mm) covers using natural soils (90 months of monitoring). Although planting vegetation decreases pf of a cover using natural soils by at least 43% compared to a non-vegetated cover, reducing the saturated permeability (ks) of the bottom layer is more effective. This is because the bottom layer of a cover using RCAs had only 17% of the value of ks for a cover using natural soils, resulting in a pf value three orders of magnitude lower. Despite this, the three-layer landfill covers using different materials possess a service life that exceeds 100 years.

GéotechniqueVol. 76(1)
Hong Kong University of Science and Technology (HK), Harbin Institute of Technology (CN), University Town of Shenzhen (CN), University of Hong Kong (HK)
Openalex Percentile: Top 21%
Soil and Unsaturated Flow
0.95
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Reliability assessment of field performance of in-service landfill cover systems under humid climates — Chuanxiang Qu, Haowen Guo, et al. · Géotechnique (2025) | TGRS Research Map | TGRS