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Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Two-tier framework for landslide risk assessment of construction solid waste landfills
Haoquan Wang1, Shuai Zhang2, Shuairong Wang3
1School of Civil Engineering and Architecture, Guangxi University, Nanning 530004, China.
Abstract:
Frequent landslides in construction solid waste (CSW) landfills pose significant safety risks. To address this, an integrated and practical two-tier framework is proposed for landslide risk assessment of CSW landfills, consisting of qualitative and quantitative assessments. In Tier 1, a multi-scale hazard and vulnerability assessment index system incorporating mitigation measures is established. This enables the rapid screening of multiple landfills to identify sites requiring prioritized attention, while also allowing for a comparative evaluation of risk levels both before and after the implementation of such measures. In Tier 2, a refined quantitative risk assessment is performed for the higher risk landfills identified in Tier 1, focusing on the spatial variability of CSW strength parameters. The application of F-N curves to quantify risk acceptability provides a quantitative basis for proposing targeted risk mitigation measures. Guangxi, China, with significant CSW disposal pressure, was chosen as the case study. Empirical findings include: (1) Among 131 CSW landfills, 12 sites were identified at a higher risk level through the initial screening, primarily located in Lingshan County; (2) Quantitative risk assessment of the high-risk Landfill No. 34 revealed that its societal risk fell within the unacceptable region under saturated conditions; (3) To address the unacceptable risk, comprehensive risk mitigation measures were proposed, with their effectiveness validated through comparative analysis. Overall, this two-tier framework optimizes the balance between regional screening efficiency and site-specific assessment accuracy, providing a reference for landslide risk management in CSW landfills.
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