Modelling of a Large Landslide Problem under Water Level Fluctuation—Model Calibration and Verification

Li, Xiang; Zhao, Chenyang; Hölter, Raoul; Datcheva, Maria; Lavasan, Arash Alimardani

doi:10.3390/geosciences9020089

Cited by 8 publications

(5 citation statements)

References 28 publications

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“…Landslides and other mass movements can be triggered by high pore water pressures produced during periods of heavy rainfall or snowmelt (Polemio et al 2000;Duperret et al 2005;Massey et al 2013;Gordo et al 2019;Li et al 2019). There is limited evidence of this effect in northwestern Galicia, despite reports in the local press of landslides occurring during winter and spring (Abelairas 2017), including one in sector F in March 2017, following a period when 87.4 mm of rain fell over 10 days (Meteogalicia 2020).…”

Section: Discussionmentioning

confidence: 99%

Tracking the behavior of rocky coastal cliffs in northwestern Spain

2021

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Rocky coastal regions are often inaccessible due to steep slopes and high relief. Remotely sensed data can, therefore, be useful, but they often have low spatial and temporal resolution and, in the case of airborne LiDAR, if not publically available, are costly to obtain. This paper reports on the use of high-resolution images from unmanned aerial vehicles (UAVs) and Structure-from-Motion (SfM) photogrammetric techniques, supplemented by a series of orthophotos and aerial LiDAR, to examine changes in rocky coastal cliffs from 2002 to 2018. The study was conducted over an 800 m-long, orthogneiss-dominated coastal section in northwestern Galicia, Spain. Cliff changes are due, primarily, to rockfalls, resulting from weathering and wave undercutting, which cause talus deposits to accumulate at the cliff foot. These deposits provide temporary protection to the cliff from wave action, until destabilized and removed by wave erosion and shallow landslides. Cliff recession rates are affected by changing conditions within a cycle and are dependent, in part, on when a survey is conducted. The data suggest that rates of cliff recession are increasing in this region and that the plan shape of the coast, which consists of headlands and bays, is continuing to evolve. Most coastal landslides in this region help to transport and dispose of talus fallen from the cliff. In contrast to landslides that remove intact materials from the cliff face, and are, therefore, primary erosional mechanisms, talus landslides are triggered by wave erosion and probably simultaneously, by storm wave spray and splash, rather than by heavy rainfall.

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Section: Discussionmentioning

confidence: 99%

Tracking the behavior of rocky coastal cliffs in northwestern Spain

2021

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“…Oleh karena itu telah dilakukan pengujian menggunakan simulator aliran air tanah, dengan kondisi geologi lokasi penelitian yang disederhanakan. Analisis aliran air tanah dan simulator kemiringan dapat digunakan untuk melakukan tes fisik kualitatif (Li et al, 2019). Beberapa faktor yang memengaruhi proses longsor, yaitu mekanisme kejadian, tinggi muka air tanah, dan permeabilitas tanah .…”

Section: Pendahuluanunclassified

Mekanisme Longsor Akibat Infiltrasi Dari Genangan Air (Studi Kasus Longsor Di Lahat, Sumatera Selatan)

Hidayat,

Wijaya,

Munir

2023

JTH

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The landslide occurred in the Lahat-Pagaralam road section on February 2, 2019. The landslide caused the road to be cut off for several days. The disconnection of roads triggered disruption of economic activity. The landslide might be caused by a puddle of rainwater seeping into the road. Several cases of landslide triggered by ponding water also occurred on the Kuningan-Tasikmalaya road in Cikijing Tasikmalaya, and on the Gempol-Pandaan toll road in East Java. The purpose of this study, therefore, was to determine the safety criteria based on the results of safety factors, the amount of seepage, and the pattern of collapse of the road, thus the incidents can be anticipated and are expected not to occur in other locations. The research method begins with field survey, depicting the geometry of the road, and collecting geotechnical data for landslide locations. Slope stability modeling due to water infiltration was processed using the SLOPE-W program. The results of road slope stability modeling at the landslide location show that when there is a 1m inundation, the slope stability value of factor of safety (FS) is 0.916 (a condition prone to landslides). The direction of flow comes from right to left, the right is a small slope and the left slope is a river bank. The difference in water level on the right and left of the road causes water to seep into the soil layer and cause the groundwater level to rise. The occurrence of water flow along the soil pile, causing water to fill the gaps between soil. The value of the slope stability number decreases due to water infiltration into the soil, resulting in landslides. SF value decreases from 0.916 to 0.887 when the inundation height increases from 1 m to 5 m. We concluded that the presence of water ponding around the road strongly suspected to be the cause of landslides. It is necessary to prevent ponding with a drainage system, so that it will not affect to the stability of the road.Keywords: landslide, slope stability, water infiltration, water ponding, drainage. ABSTRAKTelah terjadi longsor pada ruas jalan Lahat-Pagaralam pada 2 Februari 2019. Longsoran menyebabkan jalan terputus selama beberapa hari. Terputusnya ruas jalan menyebabkan gangguan aktivitas ekonomi. Longsor diduga disebabkan adanya genangan air hujan yang meresap ke badan jalan. Beberapa kasus longsor yang dipicu oleh genangan air juga terjadi pada ruas jalan Kuningan-Tasikmalaya di Cikijing Tasikmalaya, dan pada ruas tol Gempol-Pandaan Jawa Timur. Tujuan dari penelitian ini adalah untuk mengetahui kriteria keamanan lereng berdasarkan hasil analisis yang berupa angka faktor keamanan dan jumlah debit rembesan serta pola runtuh/longsor pada badan jalan, sehingga kejadian seperti ini bisa diantisipasi dan diharapkan tidak terjadi di lokasi lain. Metode penelitian diawali dengan survei lapangan, penggambaran geometri badan jalan, dan pengumpulan data geotek tanah lokasi longsor. Pemodelan stabilitas lereng akibat infiltasi air dilakukan dengan progran SLOPE-W. Hasil pemodelan stabilitas lereng jalan di lokasi longsor menunjukkan bahwa saat terjadi genangan 1m maka nilai stabilitas lereng (factor of safety FS) adalah 0,916 (kondisi rawan terjadi longsor). Arah aliran datang dari kanan ke kiri badan jalan, lereng kanan berupa alur kecil dan lereng kiri merupakan tebing sungai. Perbedaan tinggi muka air di kanan dan kiri menyebabkan air merembes masuk ke dalam lapisan tanah dan menjadikan muka air tanah naik. Terjadinya aliran air sepanjang timbunan tanah, mengakibatkan air mengisi celah antar butir. Nilai angka stablitas lereng turun akibat infiltrasi air ke dalam tanah, sehingga terjadi longsor. Nilai SF turun dari 0,916 menjadi 0,877 ketika tinggi genangan naik dari 1 m menjadi 5 m. Kajian ini menyimpulkan bahwa keberadaan genangan air di sekitar jalan diduga kuat menjadi penyebab terjadinya longsoran. Oleh karena itu, perlu dicegah terjadinya genangan dengan sistem drainase sehingga tidak mempengaruhi stabilitas lereng jalan.Kata kunci: longsor, stabilitas lereng, infiltasi air, genangan air, drainase

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“…Li et al [10] investigate the behavior of a large landslide under river level fluctuations. A 2D numerical model is created and a series of fully coupled hydro-mechanical simulations have been conducted.…”

Section: Landslides Modelingmentioning

confidence: 99%

Mountain Landslides: Monitoring, Modeling, and Mitigation

Corsini

Borgatti

2019

Geosciences

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This editorial paper summarizes the contents of the papers included in the Special Issue “Mountain Landslides: Monitoring, Modeling, and Mitigation”. The Special Issue provides an overview of methodological papers, as well as some innovative research carried out in the field and in the lab. Even if most papers adopted an integrated approach, sections representing the three research issues outlined in the title can be drawn: the first deals with monitoring, the second focuses on modeling, and the third is related to mitigation. Regardless of the section, the papers included in this special issue put forward methodological and practical implications that, more than likely, can stimulate further research efforts and support the stakeholders to gain better knowledge of landslide hazards in mountain environments, with an aim to tackle the urgent issue of sustainable development in times of global change that can affect landslide occurrences in mountain chains of the world.

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Modelling of a Large Landslide Problem under Water Level Fluctuation—Model Calibration and Verification

Cited by 8 publications

References 28 publications

Tracking the behavior of rocky coastal cliffs in northwestern Spain

Tracking the behavior of rocky coastal cliffs in northwestern Spain

Mekanisme Longsor Akibat Infiltrasi Dari Genangan Air (Studi Kasus Longsor Di Lahat, Sumatera Selatan)

Mountain Landslides: Monitoring, Modeling, and Mitigation

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