Investigation and numerical simulation of the 22 February 2018 landslide-triggered long-traveling debris flow at Pasir Panjang Village, Brebes Regency of Central Java, Indonesia

Setiawan, Hendy; Wilopo, Wahyu; Wiyoso, Tuban; Fathani, Teuku Faisal; Karnawati, Dwikorita

doi:10.1007/s10346-019-01245-0

Cited by 22 publications

(5 citation statements)

References 22 publications

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“…Rainfall is the primary factor among the various triggering forces creating landslides [10]. Most landslides are caused by rainfall, particularly within the wettest months of the rainy season [11][12][13][14]. Rainfall-induced landslides are responsible for approximately 90% of deaths related to slope failure [15].…”

Section: Introductionmentioning

confidence: 99%

Revised Rainfall Threshold in the Indonesian Landslide Early Warning System

et al. 2022

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Landslides are one of the most disastrous natural hazards that frequently occur in Indonesia. In 2017, Balai Sabo developed an Indonesia Landslide Early Warning System (ILEWS) by utilizing a single rainfall threshold for an entire nation, leading to inaccuracy in landslide predictions. The study aimed to improve the accuracy of the system by updating the rainfall threshold. We analyzed 420 landslide events in Java with the 1-day and 3-day effective antecedent rainfall for each landslide event. Rainfall data were obtained from the Global Precipitation Measurement (GPM), which is also used in the ILEWS. We propose four methods to derive the thresholds: the first is the existing threshold applied in the Balai Sabo ILEWS, the second and third use the average and minimum values of rainfall that trigger landslides, respectively, and the fourth uses the minimum value of rainfall that induces major landslides. We used receiver operating characteristic (ROC) analysis to evaluate the predictability of the rainfall thresholds. The fourth method showed the best results compared with the others, and this method provided a good prediction of landslide events with a low error value. The chosen threshold was then applied in the Balai Sabo-ILEWS.

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Section: Introductionmentioning

confidence: 99%

Revised Rainfall Threshold in the Indonesian Landslide Early Warning System

et al. 2022

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“…According to the Indonesian Disaster Information Data, landslides are ranked 3rd (9047 incidents) after tornadoes (11,016 incidents) and floods (13,723 incidents) recorded since 1822 until now [5]. Landslide disasters in Java Island, Indonesia tend to be caused by high rainfall, which often occurs in remote hilly areas that are prone to these events [6,7]. In the vicinity of Mount Bromo, landslides occur due to precipitated volcanic material, steep slopes, and high rainfall which often damage road accessibility [8].…”

Section: Introductionmentioning

confidence: 99%

A Spatial Model of Landslides with A Micro-Topography and Vegetation Approach for Sustainable Land Management in the Volcanic Area

et al. 2023

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This study aims to produce a spatial model for sustainable land management in landslide-prone areas, based on exploring non-stationary relationships between landslide events, geomorphological and anthropogenic variables on tropical hillsides, especially in Taji Village, Jabung District, East Java Province, Indonesia. A series of approaches combine in this research, and methods are used to construct independent and dependent variables so that GWR can analyze them to obtain the best model. Transformation of categorical data on microtopography, landform, and land cover variables was carried out. When modelled, landscape metrics can explain landslide events in the study area better than distance metrics with adj. R2 = 0.75 and AICc = 2526.38. Generally, local coefficient maps for each variable are mapped individually to reveal their relationship with landslide events, but in this study they are integrated to make it more intuitive and less confusing. From this map, it was found that most of the variables that showed the most positive relationship to the occurrence of landslides in the study area were the divergent footslopes. At the same time, the negative one was plantation land. It was concluded that the methodological approach offered and implemented in this study provides significant output results for the spatial analysis of the interaction of landslide events with geomorphological and anthropogenic variables locally, which cannot be explained in a global regression. This study produces a detailed scale landslide-prone conservation model in tropical hill areas and can be reproduced under the same geo-environmental conditions.

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“…To explore the impact of rainfall on the specific landslide failure process, it is particularly important to identify its specific hydrogeological conditions. The rise of aquifer water level will lead to pore water pressure changes, accelerating the movement of landslides, and applying drainage measures to decrease the water level of aquifers will effectively improve the long-term stability of landslides [8][9][10][11][12][13][14][15]. Most cases that have discussed the triggering factors of the landslide occurring in volcanic areas proposed that the high permeability of the layer formed by the accumulation of weathered volcanic debris was the main reason for the landslide [2,6,7,11].…”

Section: Introductionmentioning

confidence: 99%

Failure Process Analysis of Landslide Triggered by Rainfall at Volcanic Area: Fangshan Landslide Case Study

Gu¹,

Lin

et al. 2022

Water

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The Fangshan landslide was a rainfall-induced landslide that occurred in a volcanic area in the Fangshan scenic spot, Nanjing, Jiangsu, China. On 25 October 2016, after approximately 10 days of continuous rainfall, a shallow landslide rapidly developed, which triggered slow movement of deep mudstone rock. According to the characteristics of the landslide body, measures such as anti-slide piles, anchor cables and drainage were used to reinforce the landslide. Active drainage measures included arranging plant growth zones at the trailing edge of the landslide, and passive drainage measures included arranging pumping wells at the trailing edge of the landslide. It is worth emphasizing that the Fangshan landslide was the first example of a landslide in Jiangsu Province, China that was treated by actively lowering the water pressure. After landslide treatment from 16 May 2017 to 21 January 2018, the Fangshan landslide tended to be stable. However, the stable landslide was reactivated by the rise in groundwater level caused by rainfall and pumping well damage and underwent accelerated downward sliding in July 2020. The Fangshan landslide has caused great damage to the roads and buildings of Fangshan scenic spot, with a direct loss of RMB 6 million and an indirect loss of RMB 95 million. This article discusses the development process of the shallow soil landslide and the underlying deep mudstone rock landslide. The influence of groundwater level variation on the deformation of the shallow soil landslide and deep mudstone rock landslide of the Fangshan landslide are also discussed.

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Investigation and numerical simulation of the 22 February 2018 landslide-triggered long-traveling debris flow at Pasir Panjang Village, Brebes Regency of Central Java, Indonesia

Cited by 22 publications

References 22 publications

Revised Rainfall Threshold in the Indonesian Landslide Early Warning System

Revised Rainfall Threshold in the Indonesian Landslide Early Warning System

A Spatial Model of Landslides with A Micro-Topography and Vegetation Approach for Sustainable Land Management in the Volcanic Area

Failure Process Analysis of Landslide Triggered by Rainfall at Volcanic Area: Fangshan Landslide Case Study

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