Integrating geoinformatics and numerical modelling for landslide back-analysis and forecasting: a proactive mitigation study of the Shiv Bawri landslide

Sajwan, Avinash; Ramana, G. V.

doi:10.1007/s10346-024-02321-w

Landslides

2024

DOI: 10.1007/s10346-024-02321-w

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Integrating geoinformatics and numerical modelling for landslide back-analysis and forecasting: a proactive mitigation study of the Shiv Bawri landslide

Avinash Sajwan,

G. V. Ramana

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Back Analysis of Rainfall-Induced Landslide in Cimanggung District of Sumedang Regency in West Java Using Deterministic and Probabilistic Analyses

Sarah,

Zulfahmi,

Putra

et al. 2024

Geosciences

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Rainfall-induced landslides are widespread in Indonesia, particularly in West Java, where volcanic residual soils are typically stable but may become unstable during heavy rainfall. This study aims to back analyze the geotechnical factors contributing to the Cimanggung landslide in 2021. The methods applied in this study include site investigations, laboratory testing, and numerical modeling. We performed deterministic, coupled seepage-slope stability analysis and Monte Carlo probabilistic analysis to assess the slope performance prior to and after rainfall infiltration. The results reveal that the initial water level significantly affects slope stability, and heavy rainfall infiltration triggered the landslide’s initiation. The deep water table (over 20 m below ground level) maintains the slope stability, and increasing the water table to 16 m compromises its stability. Heavy rainfall infiltration reduces suction in the unsaturated zone, decreasing the shear strength and triggering landslides. The heavy rainfall infiltration did not penetrate deep enough to raise the water table; rather, poor urban drainage on the upper slope caused it. Rainfall infiltration caused wetting in the upper zone, weakening the slope and causing loss of support. It is recommended that effective drainage management and integrated slope monitoring be applied to mitigate landslide risks in this region.

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Back Analysis of Rainfall-Induced Landslide in Cimanggung District of Sumedang Regency in West Java Using Deterministic and Probabilistic Analyses

Sarah,

Zulfahmi,

Putra

et al. 2024

Geosciences

View full text Add to dashboard Cite

show abstract

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Integrating geoinformatics and numerical modelling for landslide back-analysis and forecasting: a proactive mitigation study of the Shiv Bawri landslide

Cited by 1 publication

References 62 publications

Back Analysis of Rainfall-Induced Landslide in Cimanggung District of Sumedang Regency in West Java Using Deterministic and Probabilistic Analyses

Back Analysis of Rainfall-Induced Landslide in Cimanggung District of Sumedang Regency in West Java Using Deterministic and Probabilistic Analyses

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