2022
DOI: 10.1144/qjegh2021-157
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Geological characterization and failure analysis of a catastrophic landslide in volcaniclastic soils: the Banjarnegara–Jemblung Landslide (Indonesia)

Abstract: The Banjarnegara–Jemblung Landslide was triggered on December 12th 2014 near the village of Jemblung in Central Java (Indonesia). The disaster occurred on the northern slope of Mount Gunung Telagalele and caused more than 100 fatalities, leading to the most disastrous landslide in Indonesia during the last decades. The event is characterized by multiple slope failures forming two landslide events A and B, with two connected scarps but two separated runout paths. According to eyewitnesses, landslide A was mobil… Show more

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Cited by 4 publications
(2 citation statements)
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“…Recovery of mental well-being tends to occur relatively swiftly once the situation is addressed, in contrast to the prolonged recovery periods associated with physical health issues or loss of life. Consequently, the presence of a digital platform capable of offering supplementary information equips government agencies to enhance their problem-solving efficiency [13][14][15]. Currently, the monitoring and surveillance of landslides in Thailand rely on data provided by the Department of Mineral Resources.…”
Section: Introductionmentioning
confidence: 99%
“…Recovery of mental well-being tends to occur relatively swiftly once the situation is addressed, in contrast to the prolonged recovery periods associated with physical health issues or loss of life. Consequently, the presence of a digital platform capable of offering supplementary information equips government agencies to enhance their problem-solving efficiency [13][14][15]. Currently, the monitoring and surveillance of landslides in Thailand rely on data provided by the Department of Mineral Resources.…”
Section: Introductionmentioning
confidence: 99%
“…Landslide analysis commonly aims both to detect the failures, and to present the areas affected to generate inventories. These inventories contain information, including the spatial patterns of the landslides/sinkholes, the volume of the failed slope, and the type/data of failure (Mezaal et al, 2018;Wijaya et al, 2023).…”
Section: Introductionmentioning
confidence: 99%