Reliability analysis and risk assessment of a landfill slope failure in spatially variable municipal solid waste

Quantitative assessment of landfill slope failure risk provides valuable information about slope design and risk reduction. This study presents a reliability-based analysis in which an accurate method is applied to assess slope failure risk using the stochastic finite difference method. This method...

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Bibliographic Details
Published in:International journal of environmental science and technology (Tehran) 2024-03, Vol.21 (6), p.5543-5556
Main Authors: Ghasemian, A., Karimpour-Fard, M., Nadi, B.
Format: Article
Language:English
Subjects:
Aquatic Pollution
Earth and Environmental Science
Ecotoxicology
Environment
Environmental Chemistry
Environmental Science and Engineering
Original Paper
Soil Science & Conservation
Waste Water Technology
Water Management
Water Pollution Control
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Summary:Quantitative assessment of landfill slope failure risk provides valuable information about slope design and risk reduction. This study presents a reliability-based analysis in which an accurate method is applied to assess slope failure risk using the stochastic finite difference method. This method incorporates the spatial variability of municipal solid waste properties due to anisotropic autocorrelation structures and evaluates the consequence associated with each failure separately. This method was evaluated using the data of the Saravan landfill (Rasht, Iran) and presenting a parametric analysis. Several Monte Carlo simulations were conducted to indicate the heterogeneity of the municipal solid waste, taking into account the shear strength and the unit weight of the municipal solid waste randomly. Finally, the safety factor, probability of failure, and risk were assessed using different analysis cases. Deterministic analysis was also performed for all modes using mean values for various municipal solid waste properties. The results show that spatial variability of municipal solid waste parameters and autocorrelation structures significantly affect the safety factor, probability of failure, and risk. Also, comparing the obtained results revealed that for the given slope, the safety factor values in deterministic analyses are overestimated compared to those of the probabilistic analyses. However, risk shows the opposite behavior.
ISSN:1735-1472
1735-2630
DOI:10.1007/s13762-023-05451-1