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1

Piegari, E., R. Di Maio, and L. Milano. "Characteristic scales in landslide modelling." Nonlinear Processes in Geophysics 16, no. 4 (2009): 515–23. http://dx.doi.org/10.5194/npg-16-515-2009.

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Abstract. Landslides are natural hazards occurring in response to triggers of different origins, which can act with different intensities and durations. Despite the variety of conditions that cause a landslide, the analysis of landslide inventories has shown that landslide events associated with different triggers can be characterized by the same probability distribution. We studied a cellular automaton, able to reproduce the landslide frequency-size distributions from catalogues. From the comparison between our synthetic probability distribution and the landslide area probability distribution
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2

Roering, Joshua J., Kevin M. Schmidt, Jonathan D. Stock, William E. Dietrich, and David R. Montgomery. "Shallow landsliding, root reinforcement, and the spatial distribution of trees in the Oregon Coast Range." Canadian Geotechnical Journal 40, no. 2 (2003): 237–53. http://dx.doi.org/10.1139/t02-113.

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The influence of root reinforcement on shallow landsliding has been well established through mechanistic and empirical studies, yet few studies have examined how local vegetative patterns influence slope stability. Because root networks spread outward from trees, the species, size, and spacing of trees should influence the spatial distribution of root strength. We documented the distribution and characteristics of trees adjacent to 32 shallow landslides that occurred during 1996 in the Oregon Coast Range. Although broadly classified as a conifer-dominated forest, we observed sparse coniferous
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Litoseliti, Aspasia, Ioannis K. Koukouvelas, Konstantinos G. Nikolakopoulos, and Vasiliki Zygouri. "An Event-Based Inventory Approach in Landslide Hazard Assessment: The Case of the Skolis Mountain, Northwest Peloponnese, Greece." ISPRS International Journal of Geo-Information 9, no. 7 (2020): 457. http://dx.doi.org/10.3390/ijgi9070457.

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Assessment of landslide hazard across mountains is imperative for public safety. Pre- and post-earthquake landslide mapping envisage that landslides show significant size changes during earthquake activity. One of the purposes of earthquake-induced landslide investigation is to determine the landslide state and geometry and draw conclusions on their mobility. This study was based on remote sensing data that covered 72 years, and focused on the west slopes of the Skolis Mountains, in the northwest Peloponnese. On 8 June 2008, during the strong Movri Mountain earthquake (Mw = 6.4), we mapped the
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4

Oli, Tej Raj. "Landslide Hazard Assessment and Distribution Mapping: A Case from Triveni Rural Municipality, Nepal." American Journal of Geospatial Technology 1, no. 1 (2022): 34–43. https://doi.org/10.5281/zenodo.7309610.

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An application of GIS for landslide hazard assessment using multivariate statistical analysis, mapping, and the evaluation of the hazard maps is crucial for disaster risk reduction. Landslides are the rapid downward movement of a mass of rock, earth or artificial fill to the slope. The study was conducted the Khara of Triveni Rural municipality of Rukum West district and it covers three wards (3, 4 & 5) of rural municipality covering the total area of about 33.52 square kilometres located in the Karnali province of Nepal which is under the pressure of high road construction activities. Dat
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5

Zhang, Jianqiang, Cees J. van Westen, Hakan Tanyas, et al. "How size and trigger matter: analyzing rainfall- and earthquake-triggered landslide inventories and their causal relation in the Koshi River basin, central Himalaya." Natural Hazards and Earth System Sciences 19, no. 8 (2019): 1789–805. http://dx.doi.org/10.5194/nhess-19-1789-2019.

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Abstract. Inventories of landslides caused by different triggering mechanisms, such as earthquakes, extreme rainfall events or anthropogenic activities, may show different characteristics in terms of distribution, contributing factors and frequency–area relationships. The aim of this research is to study such differences in landslide inventories and the effect they have on landslide susceptibility assessment. The study area is the watershed of the transboundary Koshi River in the central Himalaya, shared by China, Nepal and India. Detailed landslide inventories were generated based on visual i
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Xu, C., J. B. H. Shyu, and X. W. Xu. "Landslides triggered by the 12 January 2010 Mw 7.0 Port-au-Prince, Haiti, earthquake: visual interpretation, inventory compiling and spatial distribution statistical analysis." Natural Hazards and Earth System Sciences Discussions 2, no. 2 (2014): 1259–331. http://dx.doi.org/10.5194/nhessd-2-1259-2014.

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Abstract. The 12 January 2010 Port-au-Prince, Haiti, earthquake (Mw 7.0) triggered tens of thousands of landslides. The purpose of this study is to investigate the correlations of the occurrence of landslides and their erosion thicknesses with topographic factors, seismic parameters, and their distance from roads. A total of 30 828 landslides triggered by the earthquake covered a total area of 15.736 km2, distributed in an area more than 3000 km2, and the volume of landslide accumulation materials is estimated to be about 29 700 000 m3. These landslides are of various types, mostly belonging t
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7

Kubwimana, Désiré, Lahsen Ait Brahim, Pascal Nkurunziza, et al. "Characteristics and Distribution of Landslides in the Populated Hillslopes of Bujumbura, Burundi." Geosciences 11, no. 6 (2021): 259. http://dx.doi.org/10.3390/geosciences11060259.

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Accurate and detailed multitemporal inventories of landslides and their process characterization are crucial for the evaluation of landslide hazards and the implementation of disaster risk reduction strategies in densely-populated mountainous regions. Such investigations are, however, rare in many regions of the tropical African highlands, where landslide research is often in its infancy and not adapted to the local needs. Here, we have produced a comprehensive multitemporal investigation of the landslide processes in the hillslopes of Bujumbura, situated in the landslide-prone East African Ri
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8

Xu, C., J. B. H. Shyu, and X. Xu. "Landslides triggered by the 12 January 2010 Port-au-Prince, Haiti, <i>M</i><sub>w</sub> = 7.0 earthquake: visual interpretation, inventory compiling, and spatial distribution statistical analysis." Natural Hazards and Earth System Sciences 14, no. 7 (2014): 1789–818. http://dx.doi.org/10.5194/nhess-14-1789-2014.

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Abstract. The 12 January 2010 Port-au-Prince, Haiti, earthquake (Mw= 7.0) triggered tens of thousands of landslides. The purpose of this study is to investigate the correlations of the occurrence of landslides and the thicknesses of their erosion with topographic, geologic, and seismic parameters. A total of 30 828 landslides triggered by the earthquake covered a total area of 15.736 km2, distributed in an area more than 3000 km2, and the volume of landslide accumulation materials is estimated to be about 29 700 000 m3. These landslides are of various types, mostly belonging to shallow disrupt
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9

Bostjančić, Iris, Radovan Avanić, Tihomir Frangen, and Mirja Pavić. "Spatial distribution and geometric characteristics of landslides with special reference to geological units in the area of Slavonski Brod, Croatia." Geologia Croatica 75, no. 1 (2022): 3–16. http://dx.doi.org/10.4154/gc.2022.03.

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A preliminary analysis of landslide spatial distribution and their geometric characteristics is presented for the area of Slavonski Brod, located in the northeastern part of Croatia and belonging to the Pannonian Basin System. A landslide inventory for the study area of 55.1 km2 is accomplished for the first time, based on the visual interpretation of a high resolution LiDAR digital terrain model. In total, 854 landslide polygons are delineated, corresponding to an average density of 15.5 landslides per square kilometre. The average landslide area is 839 m2, and most of the landslides can be c
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10

Marc, Odin, Robert Behling, Christoff Andermann, et al. "Long-term erosion of the Nepal Himalayas by bedrock landsliding: the role of monsoons, earthquakes and giant landslides." Earth Surface Dynamics 7, no. 1 (2019): 107–28. http://dx.doi.org/10.5194/esurf-7-107-2019.

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Abstract. In active mountain belts with steep terrain, bedrock landsliding is a major erosional agent. In the Himalayas, landsliding is driven by annual hydro-meteorological forcing due to the summer monsoon and by rarer, exceptional events, such as earthquakes. Independent methods yield erosion rate estimates that appear to increase with sampling time, suggesting that rare, high-magnitude erosion events dominate the erosional budget. Nevertheless, until now, neither the contribution of monsoon and earthquakes to landslide erosion nor the proportion of erosion due to rare, giant landslides hav
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11

Rabby, Yasin Wahid, and Yingkui Li. "Landslide Inventory (2001–2017) of Chittagong Hilly Areas, Bangladesh." Data 5, no. 1 (2019): 4. http://dx.doi.org/10.3390/data5010004.

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Landslides are a frequent natural hazard in Chittagong Hilly Areas (CHA), Bangladesh, which causes the loss of lives and damage to the economy. Despite this, an official landslide inventory is still lacking in this area. In this paper, we present a landslide inventory of this area prepared using the visual interpretation of Google Earth images (Google Earth Mapping), field mapping, and a literature search. We mapped 730 landslides that occurred from January 2001 to March 2017. Different landslide attributes including type, size, distribution, state, water content, and triggers are presented in
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12

Marc, Odin, Jens M. Turowski, and Patrick Meunier. "Controls on the grain size distribution of landslides in Taiwan: the influence of drop height, scar depth and bedrock strength." Earth Surface Dynamics 9, no. 4 (2021): 995–1011. http://dx.doi.org/10.5194/esurf-9-995-2021.

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Abstract. The size of grains delivered to rivers by hillslope processes is thought to be a key factor controlling sediment transport, long-term erosion and the information recorded in sedimentary archives. Recently, models have been developed to estimate the grain size distribution produced in soil, but these models may not apply to active orogens where high erosion rates on hillslopes are driven by landsliding. To date, relatively few studies have focused on landslide grain size distributions. Here, we present grain size distributions (GSDs) obtained by grid-by-number sampling on 17 recent la
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13

Argentin, Anne-Laure, Jörg Robl, Günther Prasicek, et al. "Controls on the formation and size of potential landslide dams and dammed lakes in the Austrian Alps." Natural Hazards and Earth System Sciences 21, no. 5 (2021): 1615–37. http://dx.doi.org/10.5194/nhess-21-1615-2021.

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Abstract. Controls on landsliding have long been studied, but the potential for landslide-induced dam and lake formation has received less attention. Here, we model possible landslides and the formation of landslide dams and lakes in the Austrian Alps. We combine a slope criterion with a probabilistic approach to determine landslide release areas and volumes. We then simulate the progression and deposition of the landslides with a fluid dynamic model. We characterize the resulting landslide deposits with commonly used metrics, investigate their relation to glacial land-forming and tectonic uni
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14

Zhang, Ming, Fei Wang, Gu Jie Mouse, Wei Tao Luo, Hong Wu Zhang, and Yao Ru Liu. "Experimental Investigation on the Segregation of Landslide Dam Materials." Applied Mechanics and Materials 580-583 (July 2014): 2103–7. http://dx.doi.org/10.4028/www.scientific.net/amm.580-583.2103.

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Large landslides usually dam lakes that may easily fail and then result in catastrophic flood threatening the population downstream. The grain size composition within landslide dams is considered as a vital factor that impacts the timing of failure and the resulting magnitude of flood. Therefore, experiments were conducted to investigate the features of size distribution in accumulation bodies. The results indicate that the grain size distribution varies in different parts of the deposits. The inverse grading phenomenon can be observed. Grains in the front of the deposit are coarser, while gra
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15

Zhang, Xuewei, Chong Xu, Lei Li, Liye Feng, and Wentao Yang. "Inventory of Landslides in the Northern Half of the Taihang Mountain Range, China." Geosciences 14, no. 3 (2024): 74. http://dx.doi.org/10.3390/geosciences14030074.

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The Taihang Mountains are a critical mountain range and geographical boundary in eastern China. Landslide disasters are particularly common in this region and usually cause serious casualties and property damage. However, previous landslide inventories in the region are limited and lack comprehensive landslide cataloguing. To address this gap, the northern half of the Taihang Mountain Range was selected for this study. A landslide database for the area was constructed using multi-temporal high-resolution optical imagery from the Google Earth and human–computer interactive visual interpretation
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16

Hashiba, H., and M. Sonobe. "EXTRACTION OF SCATTERED SMALL-SCALE LANDSLIDES DISTRIBUTION BY OBJECT-BASED CLASSIFICATION USING OPTICAL HIGH-RESOLUTION SATELLITE IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (August 21, 2020): 1213–18. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-1213-2020.

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Abstract. Continuous heavy rain for a long duration over mountainous terrain, where the elevation is relatively low and the topography is complex leads to multiple small-scale landslides over a wide area. Detailed investigations of small-scale landslides have been effectively carried out using optical high-resolution satellite images with spatial resolution of about 2 m or less. In this study, the sediment-related disaster caused by heavy rain in northern Kyushu, Japan that occurred in July 2017 was selected as a typical example of small-scale landslide. For this landslide event, the applicabi
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17

Mirhadi, Nima, and Renato Macciotta. "Regional-Scale Evaluation of Landslide Distribution and Its Relation to Climate in Southern Alberta, Canada." Geosciences 14, no. 7 (2024): 194. http://dx.doi.org/10.3390/geosciences14070194.

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This work illustrates a semi-quantitative approach to evaluate changes in regional landslide distribution as a consequence of forecasted climate change, which can be adopted at other regions. We evaluated the relationship between climate conditions and landslide distribution at a regional scale. In this study, landslides on parts of the Battle, Red Deer, and Bow Rivers that are located within the Bearpaw Formation in Southern Alberta, Canada, were mapped, and their characteristics were compared. In order to find a relationship between the climate conditions and the mapped landslides, 30-year a
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18

Peng, Da, Jingshan Bo, Chaoyu Chang, Xiaobo Li, Yushi Duan, and Wenhao Qi. "Study on the Geotechnical Property Changes of Loess after Seismic Landslides—A Case Study of the Subao Loess Landslide in Ningxia, China." Applied Sciences 13, no. 19 (2023): 11023. http://dx.doi.org/10.3390/app131911023.

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This study aims to explore the differences between the loess and landslide deposits, focusing on aspects such as particle distribution, consolidation characteristics, and the dynamic shear modulus. Through a series of experiments, the research reveals the similarities and differences between these two entities, yielding several key findings. Firstly, the process of landsliding disrupts the original structure of the loess, resulting in a reduction in porosity and a densification of the soil. Additionally, the movement and sorting of particles during the landslides cause variations in particle s
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19

Oli, Tej Raj. "Landslide Hazard Assessment and Distribution Mapping: A Case from Triveni Rural Municipality, Nepal." American Journal of Geospatial Technology 1, no. 1 (2022): 34–43. http://dx.doi.org/10.54536/ajgt.v1i1.468.

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An application of GIS for landslide hazard assessment using multivariate statistical analysis, mapping, and the evaluation of the hazard maps is crucial for disaster risk reduction. Landslides are the rapid downward movement of a mass of rock, earth or artificial fill to the slope. The study was conducted the Khara of Triveni Rural municipality of Rukum West district and it covers three wards (3, 4 &amp; 5) of rural municipality covering the total area of about 33.52 square kilometres located in the Karnali province of Nepal which is under the pressure of high road construction activities. Dat
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20

Zhang, Jingyi, and Jianmin Zhang. "Particle size spatial distribution in landslide dams." Journal of Mountain Science 21, no. 6 (2024): 1886–903. http://dx.doi.org/10.1007/s11629-023-8414-x.

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21

Piegari, E., R. Di Maio, and A. Avella. "Recurrence time distribution and temporal clustering properties of a cellular automaton modelling landslide events." Nonlinear Processes in Geophysics 20, no. 6 (2013): 1071–78. http://dx.doi.org/10.5194/npg-20-1071-2013.

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Abstract. Reasonable prediction of landslide occurrences in a given area requires the choice of an appropriate probability distribution of recurrence time intervals. Although landslides are widespread and frequent in many parts of the world, complete databases of landslide occurrences over large periods are missing and often such natural disasters are treated as processes uncorrelated in time and, therefore, Poisson distributed. In this paper, we examine the recurrence time statistics of landslide events simulated by a cellular automaton model that reproduces well the actual frequency-size sta
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Fu, Sheng, Lixia Chen, Tsehaie Woldai, et al. "Landslide hazard probability and risk assessment at the community level: a case of western Hubei, China." Natural Hazards and Earth System Sciences 20, no. 2 (2020): 581–601. http://dx.doi.org/10.5194/nhess-20-581-2020.

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Abstract. Small communities living in mountainous terrain in Hubei province are often affected by landslides. Previous studies by the China Geological Survey focused on the 1:100 000 scale. Therefore, a more detailed assessment, especially at the community level, is urgently required by local governments for risk management. In this study, we conducted a more detailed semiquantitative landslide and risk assessment at the community level using a scale of 1:10 000. We applied the probabilistic method to assess landslide spatial, temporal, and size probabilities, while the hazard and risk assessm
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23

Mergili, M., and H. J. Chu. "Integrated statistical modelling of spatial landslide probability." Natural Hazards and Earth System Sciences Discussions 3, no. 9 (2015): 5677–715. http://dx.doi.org/10.5194/nhessd-3-5677-2015.

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Abstract. Statistical methods are commonly employed to estimate spatial probabilities of landslide release at the catchment or regional scale. Travel distances and impact areas are often computed by means of conceptual mass point models. The present work introduces a fully automated procedure extending and combining both concepts to compute an integrated spatial landslide probability: (i) the landslide inventory is subset into release and deposition zones. (ii) We employ a simple statistical approach to estimate the pixel-based landslide release probability. (iii) We use the cumulative probabi
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24

Korte, David M., and Abdul Shakoor. "Landslide Susceptibility and Soil Loss Estimates for Drift Creek Watershed, Lincoln County, Oregon." Environmental and Engineering Geoscience 26, no. 2 (2020): 167–84. http://dx.doi.org/10.2113/eeg-2251.

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ABSTRACT Drift Creek watershed, Lincoln County, Oregon, is a source of drinking water as well as a reproductive habitat for endangered salmon and trout species. Landslides, exacerbated by logging, are suspected as a cause of water quality deterioration in the watershed. To investigate the impact of landslides on water quality, we mapped landslide distribution and susceptibility, determined engineering properties of landslide-prone soil and rock, and estimated soil loss resulting from landslide-derived sediment within 30 m of Strahler third-order-or-higher streams in the watershed. We mapped 57
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25

Palloan, Pariabti, Nur Aminuddin Ansar, Sulistiawaty, and Agus Susanto. "Analysis of Soil Physical Parameters in Landslide Prone Areas in West Battang Village, Palopo City as Early Mitigation of Landslide Disasters." Jurnal Penelitian Pendidikan IPA 9, no. 11 (2023): 10230–35. http://dx.doi.org/10.29303/jppipa.v9i11.3031.

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This study investigates physical properties parameters of the soil in landslide prone areas in West Battang Village, Palopo City. This study aimed was to determine the grain size of the soil, the value of soil permeability, and the distribution characteristics of the soil in landslide-prone areas. The 30 samples were taken randomly at a depth of 30 cm, then tested the soil grain size, permeability, and the samples distribution. The results showed that the grain size of the soil consisted of gravel, coarse sand, medium sand, and fine sand, with a size of approximately 0.075 – 4.75 mm. The soils
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26

Gariano, S. L., O. Petrucci, and F. Guzzetti. "Changes in the occurrence of rainfall-induced landslides in Calabria, southern Italy, in the 20th century." Natural Hazards and Earth System Sciences 15, no. 10 (2015): 2313–30. http://dx.doi.org/10.5194/nhess-15-2313-2015.

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Abstract. Only a few studies have investigated the geographical and temporal variations in the frequency and distribution of rainfall-induced landslides, and the consequences of the variations on landslide risk. Lack of information limits the possibility to evaluate the impact of environmental and climate changes on landslide frequency and risk. Here, we exploit detailed historical information on landslides and rainfall in Calabria, southern Italy, between 1921 and 2010 to study the temporal and the geographical variation in the occurrence of rainfall-induced landslides and in their impact on
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27

Hurst, M. D., M. A. Ellis, K. R. Royse, K. A. Lee, and K. Freeborough. "Controls on the magnitude-frequency scaling of an inventory of secular landslides." Earth Surface Dynamics 1, no. 1 (2013): 67–78. http://dx.doi.org/10.5194/esurf-1-67-2013.

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Abstract. Linking landslide size and frequency is important at both human and geological timescales for quantifying both landslide hazards and the effectiveness of landslides in the removal of sediment from evolving landscapes. The statistical behaviour of the magnitude-frequency of landslide inventories is usually compiled following a particular triggering event such as an earthquake or storm, and their statistical behaviour is often characterised by a power-law relationship with a small landslide rollover. The occurrence of landslides is expected to be influenced by the material properties o
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Bernard, Thomas G., Dimitri Lague, and Philippe Steer. "Beyond 2D landslide inventories and their rollover: synoptic 3D inventories and volume from repeat lidar data." Earth Surface Dynamics 9, no. 4 (2021): 1013–44. http://dx.doi.org/10.5194/esurf-9-1013-2021.

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Abstract. Efficient and robust landslide mapping and volume estimation is essential to rapidly infer landslide spatial distribution, to quantify the role of triggering events on landscape changes, and to assess direct and secondary landslide-related geomorphic hazards. Many efforts have been made to develop landslide mapping methods, based on 2D satellite or aerial images, and to constrain the empirical volume–area (V–A) relationship which, in turn, would allow for the provision of indirect estimates of landslide volume. Despite these efforts, major issues remain, including the uncertainty in
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Hurst, M. D., M. A. Ellis, K. R. Royse, K. A. Lee, and K. Freeborough. "Controls on the magnitude-frequency scaling of an inventory of secular landslides." Earth Surface Dynamics Discussions 1, no. 1 (2013): 113–39. http://dx.doi.org/10.5194/esurfd-1-113-2013.

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Abstract. Linking landslide size and frequency is important at both human and geological time-scales for quantifying both landslide hazards and the effectiveness of landslides in the removal of sediment from evolving landscapes. Landslide inventories are usually compiled following a particular triggering event such as an earthquake or storm, and their statistical behavior is typically characterized by an inflected power-law relationship. The occurrence of landslides is expected to be influenced by the material properties of rock and/or regolith in which failure occurs. Here we explore the stat
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30

Dewitte, O., and A. Demoulin. "Morphometry and kinematics of landslides inferred from precise DTMs in West Belgium." Natural Hazards and Earth System Sciences 5, no. 2 (2005): 259–65. http://dx.doi.org/10.5194/nhess-5-259-2005.

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Abstract. The Flemish Ardennes (W Belgium) are known to be affected by deep-seated landslides. The assessment of the landslide reactivation hazard requires understanding the driving processes and delimiting precisely not only the landslide boundaries but especially that of their most active parts. Precise 3D models of 13 landslides were produced by digital stereophotogrammetry using aerial photographs of different dates. Dealing with photographs at the scale 1:25000 or larger, we obtained for each model an accuracy better than 0.5m. As a first result, the main size parameters of the landslides
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Zhang, Sen, Chong Xu, Zhenjiang Meng, et al. "Establishing a Landslide Traces Inventory for the Baota District, Yan’an City, China, Using High-Resolution Satellite Images." Land 13, no. 10 (2024): 1580. http://dx.doi.org/10.3390/land13101580.

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The Baota District of Yan’an City, located in the Loess Plateau, is an important patriotic education base in China. The region’s fragile geological environment and frequent geological disasters pose significant threats to the production and livelihood of residents. Establishing a landslide traces inventory can provide crucial assistance for studying regional land disaster distribution patterns and implementing disaster prevention and mitigation measures. However, the Baota District has not yet established a comprehensive and detailed landslide traces inventory, resulting in a lack of clear und
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Wu, Chun-Yi, and Po-Kai Chou. "Prediction of total landslide volume in watershed scale under rainfall events using a probability model." Open Geosciences 13, no. 1 (2021): 944–62. http://dx.doi.org/10.1515/geo-2020-0284.

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Abstract This study established a probability model based on the landslide spatial and size probabilities to predict the possible volume and locations of landslides in watershed scale under rainfall events. First, we assessed the landslide spatial probability using a random forest landslide susceptibility model including intrinsic causative factors and extrinsic rainfall factors. Second, we calculated the landslide volume probability using the Pearson type V distribution. Lastly, these probabilities were joined to predict possible landslide volume and locations in the study area, the Taipei Wa
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Huang, Yidan, and Lingkan Yao. "Size distribution law of earthquake-triggered landslides in different seismic intensity zones." Nonlinear Processes in Geophysics 28, no. 2 (2021): 167–79. http://dx.doi.org/10.5194/npg-28-167-2021.

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Abstract. The Ms 8.0 Wenchuan earthquake in 2008 and Ms 7.0 Lushan earthquake in 2013 produced thousands of landslides in the southern region of the Longmen Mountains in China. We conducted field investigations and analyzed remote sensing data to determine the distribution law of earthquake-triggered landslides. The results show a strong negative power law relationship between the size and frequency of landslides in VII, VIII, and IX seismic intensity zones, a weak power law in the X seismic intensity zone, and a lognormal distribution in the XI seismic intensity zone. Landslide density increa
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Hölbling, Daniel, Raphael Spiekermann, Andrea Binn, and Harley Betts. "Analysing and visualizing spatio-temporal landslide patterns." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-116-2019.

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&lt;p&gt;&lt;strong&gt;Abstract.&lt;/strong&gt; Landslide erosion is a serious land management problem in many parts of the world. In New Zealand, a combination of steep erodible hill country, frequent and intense rainstorms, and recent forest clearance for pastoral farming has led to extensive landslide erosion in many parts of the country. Effective mitigation measures against landslide erosion and its consequences require a detailed understanding of the history, location, extent, and severity of landsliding. Consequently, the preparation and availability of comprehensive and meaningful land
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Jeandet, L., P. Steer, D. Lague, and P. Davy. "Coulomb Mechanics and Relief Constraints Explain Landslide Size Distribution." Geophysical Research Letters 46, no. 8 (2019): 4258–66. http://dx.doi.org/10.1029/2019gl082351.

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36

Chen, Lien-Kuang, Chih-Hsin Chang, Che-Hsin Liu, and Jui-Yi Ho. "Application of a Three-Dimensional Deterministic Model to Assess Potential Landslides, a Case Study: Antong Hot Spring Area in Hualien, Taiwan." Water 12, no. 2 (2020): 480. http://dx.doi.org/10.3390/w12020480.

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This study proposes a landslide disaster assessment model combining a fully three-dimensional, physically-based landslide model with high precision of in situ survey data such as surface slip signs, geologic drilling results, underground water observation, and displacement monitoring results over time to perform distribution of potential landslide zones and the size of landslides (area and volume) in the Antong hot spring area in Hualien, Taiwan. The distribution of potential landslide zones in the study area was represented by slope stability safety factors. The results of the analysis showed
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37

Chen, X. L., Q. Zhou, H. Ran, and R. Dong. "Earthquake-triggered landslides in southwest China." Natural Hazards and Earth System Sciences 12, no. 2 (2012): 351–63. http://dx.doi.org/10.5194/nhess-12-351-2012.

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Abstract. Southwest China is located in the southeastern margin of the Tibetan Plateau and it is a region of high seismic activity. Historically, strong earthquakes that occurred here usually generated lots of landslides and brought destructive damages. This paper introduces several earthquake-triggered landslide events in this region and describes their characteristics. Also, the historical data of earthquakes with a magnitude of 7.0 or greater, having occurred in this region, is collected and the relationship between the affected area of landslides and earthquake magnitude is analysed. Based
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Wallace, Cory S., and Paul M. Santi. "Runout Number: A New Metric for Landslide Runout Characterization." Environmental and Engineering Geoscience 27, no. 4 (2021): 455–70. http://dx.doi.org/10.2113/eeg-d-20-00144.

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ABSTRACT Landslide runout has traditionally been quantified by the height-to-length ratio, H/L, which, in many cases, is strongly influenced by the slope of the runout path. In this study, we propose an alternative mobility measure, the unitless Runout Number, measured as the landslide length divided by the square root of the landslide area, which characterizes landslide shape in terms of elongation. We used a database of 158 landslides of varying runout distances from locations in northern California, Oregon, and Washington state to compare the two runout measurement methods and explore their
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Bellugi, Dino G., David G. Milledge, Kurt M. Cuffey, William E. Dietrich, and Laurel G. Larsen. "Controls on the size distributions of shallow landslides." Proceedings of the National Academy of Sciences 118, no. 9 (2021): e2021855118. http://dx.doi.org/10.1073/pnas.2021855118.

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Rainfall-triggered shallow landslides are destructive hazards and play an important role in landscape processes. A theory explaining the size distributions of such features remains elusive. Prior work connects size distributions to topography, but field-mapped inventories reveal pronounced similarities in the form, mode, and spread of distributions from diverse landscapes. We analyze nearly identical distributions occurring in the Oregon Coast Range and the English Lake District, two regions of strikingly different topography, lithology, and vegetation. Similarity in minimum sizes at these sit
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Kimura, Takashi. "Effects of Land Cover Changes and Rainfall Variation on the Landslide Size–Frequency Distribution in a Mountainous Region of Western Japan." Geosciences 14, no. 3 (2024): 59. http://dx.doi.org/10.3390/geosciences14030059.

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This study investigated the size–frequency distribution of 512 landslides triggered by heavy rain in July 2018 on Omishima Island, western Japan. Since the island has undergone rapid land use and land cover changes in recent decades, this study statistically examined the impact of past land cover changes on the shape of, and local variability in, the size–frequency distribution using the inverse gamma model. The possible influence of rainfall conditions was also examined. The landslides were classified based on the severity of anthropogenic disturbance and rainfall using a 56-year (1962–2018)
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Qiu, Haijun, Peng Cui, Amar Deep Regmi, Sheng Hu, Yuzhu Zhang, and Yi He. "Landslide distribution and size versus relative relief (Shaanxi Province, China)." Bulletin of Engineering Geology and the Environment 77, no. 4 (2017): 1331–42. http://dx.doi.org/10.1007/s10064-017-1121-5.

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Yu, T. T., Y. S. Cheng, W. F. Peng, and P. L. Lee. "ANALYSIS OF THE TEMPORAL AND SPATIAL CONTROLLING FACTORS IN AFFECTING THE ACCURACY OF LANDSLIDE PREDICTING MODEL AT TAIWAN." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W4 (March 6, 2018): 579–82. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w4-579-2018.

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&lt;p&gt;&lt;strong&gt;Abstract.&lt;/strong&gt; Most of the landslides are triggered by rainfall, earthquake or the joint effect from both. Landslide inventory map by GIS via remote sensing offer the spatial distribution of it across certain external event. The landslide model thus been trained to link the occurrence and non-occurrence of individual mass wasting on top of proposing factors/layers. Chosen factors with various calculated weighting values becomes as the base of predicting the region and condition for future landslide called as Landslide Susceptibility Mapping (LSM). It is found t
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Glassmeyer, Michael P., and Abdul Shakoor. "Factors Contributing to Landslide Susceptibility of the Kope Formation, Cincinnati, Ohio." Environmental and Engineering Geoscience 27, no. 3 (2021): 307–18. http://dx.doi.org/10.2113/eeg-d-20-00077.

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ABSTRACT The objective of this study was to evaluate the factors that contribute to the high frequency of landslides in the Kope Formation and the overlying colluvial soil present in the Cincinnati area, southwestern Ohio. The Kope Formation consists of approximately 80 percent shale inter-bedded with 20 percent limestone. The colluvium that forms from the weathering of the shale bedrock consists of a low-plasticity clay. Based on field observations, LiDAR data, and information gathered from city and county agencies, we created a landslide inventory map for the Cincinnati area, identifying 842
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Shen, Yong Jiang, Hai Hao Cui, Biao Deng, and Wen Kang. "Optimization Design of Coupling Beam of the Frame Double-Row Piles." Applied Mechanics and Materials 353-356 (August 2013): 918–23. http://dx.doi.org/10.4028/www.scientific.net/amm.353-356.918.

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Double-row piles are often used for the large-scale landslide control. The frame double-row piles are the common types. Coupling beam is an important component of frame double-row piles. It plays an important role in transferring landslide thrust. A finite element model of landslide was established to evaluate the effect of section size and length of coupling beam on the internal force of double-row piles. It was found that the internal force of double-row piles increased with the length of coupling beam, and found that it was unfavorable for the moment distribution of double-row piles if the
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Maki Mateso, Jean-Claude, Charles L. Bielders, Elise Monsieurs, et al. "Characteristics and causes of natural and human-induced landslides in a tropical mountainous region: the rift flank west of Lake Kivu (Democratic Republic of the Congo)." Natural Hazards and Earth System Sciences 23, no. 2 (2023): 643–66. http://dx.doi.org/10.5194/nhess-23-643-2023.

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Abstract. Tropical mountainous regions are often identified as landslide hotspots with growing population pressure. Anthropogenic factors are assumed to play a role in the occurrence of landslides in these densely populated regions, yet the relative importance of these human-induced factors remains poorly documented. In this work, we aim to explore the impact of forest cover dynamics, roads and mining activities on the characteristics and causes of landslides in the rift flank west of Lake Kivu in the Democratic Republic of the Congo (DR Congo). To do so, we compile a comprehensive multi-tempo
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Wu, C. Y., and S. C. Chen. "Integrating spatial and temporal probabilities for the annual landslide hazard maps in Shihmen watershed, Taiwan." Natural Hazards and Earth System Sciences Discussions 1, no. 2 (2013): 471–508. http://dx.doi.org/10.5194/nhessd-1-471-2013.

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Abstract. Landslide spatial probability, temporal probability, and landslide size probability were employed to perform landslide hazard assessment in this study. Following a screening process, landslide susceptibility-related factors included eleven intrinsic geomorphological factors and two extrinsic rainfall factors, which were evaluated as effective factors because of the higher correlation with the landslide distribution. Landslide area analysis was first employed to establish the power law relationship between landslide area and noncumulative number, and a probability density function was
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Dellow, Sally, Chris Massey, Simon Cox, et al. "Landslides caused by the Mw7.8 Kaikōura earthquake and the immediate response." Bulletin of the New Zealand Society for Earthquake Engineering 50, no. 2 (2017): 106–16. http://dx.doi.org/10.5459/bnzsee.50.2.106-116.

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Tens of thousands of landslides were generated over 10,000 km2 of North Canterbury and Marlborough as a consequence of the 14 November 2016, Mw7.8 Kaikōura Earthquake. The most intense landslide damage was concentrated in 3500 km2 around the areas of fault rupture. Given the sparsely populated area affected by landslides, only a few homes were impacted and there were no recorded deaths due to landslides. Landslides caused major disruption with all road and rail links with Kaikōura being severed. The landslides affecting State Highway 1 (the main road link in the South Island of New Zealand) an
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48

Havenith, Hans-Balder, Kelly Guerrier, Romy Schlögel, et al. "Earthquake-induced landslides in Haiti: analysis of seismotectonic and possible climatic influences." Natural Hazards and Earth System Sciences 22, no. 10 (2022): 3361–84. http://dx.doi.org/10.5194/nhess-22-3361-2022.

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Abstract. First analyses of landslide distribution and triggering factors are presented for the region affected by the 14 August 2021 earthquake (Mw=7.2) in the Nippes Department, Haiti. Landslide mapping was mainly carried out by comparing pre- and post-event remote imagery (∼0.5–1 m resolution) available on Google Earth Pro® and Sentinel-2 (10 m resolution) satellite images. The first covered about 50 % of the affected region (for post-event imagery and before completion of the map in January 2022), and the latter were selected to cover the entire potentially affected zone. On the basis of t
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Krzeminska, D. M., T. A. Bogaard, Th W. J. van Asch, and L. P. H. van Beek. "A conceptual model of the hydrological influence of fissures on landslide activity." Hydrology and Earth System Sciences 16, no. 6 (2012): 1561–76. http://dx.doi.org/10.5194/hess-16-1561-2012.

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Abstract. Hydrological processes control the behaviour of many unstable slopes, and their importance for landslide activity is generally accepted. The presence of fissures influences the storage capacity of a soil and affects the infiltration processes of rainfall. The effectiveness of the fissure network depends upon fissure size, their spatial distribution, and connectivity. Moreover, fissure connectivity is a dynamic characteristic, depending on the degree of saturation of the medium. This research aims to investigate the influence of the fissure network on hydrological responses of a lands
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He, Caihong, Qian Sun, Jun Hu, and Rong Gui. "Location and Activity Changes of Slow-Moving Landslides Due to an Earthquake: Perspective from InSAR Observations." Remote Sensing 15, no. 8 (2023): 1977. http://dx.doi.org/10.3390/rs15081977.

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Strong earthquakes can not only trigger many landslides in a short period of time but can also change the stability of slopes in the earthquake area, causing them to be active for a long time after the earthquake. Research on the variation of slow-motion slopes before and after earthquakes can help us to better understand the mechanism of earthquake-affected landslides, which is also crucial for assessing the long-term landslide risk in seismically active areas. Here, L-band ALOS-2 PALSAR-2 images are utilized with the SBAS-InSAR algorithm to monitor and assess the location and activity change
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