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Добірка наукової літератури з теми "Landslides inventary"

Автор: Grafiati

Опубліковано: 10 березня 2023

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Статті в журналах з теми "Landslides inventary"

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 (July 20, 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 extremely abundant landslide occurrence. Historical seismicity and remote sensing data indicate that the Skolis Mountain west slope is repeatedly affected by landslides. The impact of the earthquakes was based on the estimation of Arias intensity in the study area. We recognized that 89 landslides developed over the last 72 years. These landslides increased their width (W), called herein as inflation or their length (L), termed as enlargement. Length and width changes were used to describe their aspect ratio (L/W). Based on the aspect ratio, the 89 landslides were classified into three types: I, J, and Δ. Taluses, developed at the base of the slope and belonging to the J- and Δ-landslide types, are supplied by narrow or irregular channels. During the earthquakes, the landslide channels migrated upward and downward, outlining the mobility of the earthquake-induced landslides. Landslide mobility was defined by the reach angle. The reach angle is the arctangent of the landslide’s height to length ratio. Furthermore, we analyzed the present slope stability across the Skolis Mountain by using the landslide density (LD), landslide area percentage (LAP), and landslide frequency (LF). All these parameters were used to evaluate the spatial and temporal landslide distribution and evolution with the earthquake activity. These results can be considered as a powerful tool for earthquake-induced landslide disaster mitigation

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Su, Xiaojun, Yi Zhang, Xingmin Meng, Mohib Ur Rehman, Zainab Khalid, and Dongxia Yue. "Updating Inventory, Deformation, and Development Characteristics of Landslides in Hunza Valley, NW Karakoram, Pakistan by SBAS-InSAR." Remote Sensing 14, no. 19 (September 30, 2022): 4907. http://dx.doi.org/10.3390/rs14194907.

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The Hunza Valley, in the northwestern Karakoram Mountains, North Pakistan, is a typical region with many towns and villages, and a dense population and is prone to landslides. The present study completed landslide identification, updating a comprehensive landslide inventory and analysis. First, the ground surface deformation was detected in the Hunza Valley by SBAS-InSAR from ascending and descending datasets, respectively. Then, the locations and boundaries were interpreted and delineated, and a comprehensive inventory of 118 landslides, including the 53 most recent InSAR identified active landslides and 65 landslides cited from the literature, was completed. This study firstly named all 118 landslides, considering the demand for globally intensive research and hazard mitigation. Finally, the deformation, spatial–topographic development, and distribution characteristics in the Hunza Valley scale and three large significant landslides were analyzed. Information on 72 reported landslides was used to construct an empirical power law relationship linking landslide area (AL) to volume (VL) (VL = 0.067 × AL1.351), and this formula predicted the volume of 118 landslides in this study. We discovered that the landslides from the literature, which were interpreted from optical images, had lower levels of velocity, area, elevation, and height. The SBAS-InSAR-detected active landslide was characterized by higher velocity, larger area, higher elevation, larger slope gradient, larger NDVI (normalized difference vegetation index), and greater height. The melting glacier water and rainfall infiltration from cracks on the landslide’s upper part may promote the action of a push from gravity on the upper part. Simultaneously, the coupling of actions from river erosion and active tectonics could have an impact on the stability of the slope toe. The up-to-date comprehensive identification and understanding of the characteristics and mechanism of landslide development in this study provide a reference for the next step in landslide disaster prevention and risk assessment.

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Luetzenburg, Gregor, Kristian Svennevig, Anders A. Bjørk, Marie Keiding, and Aart Kroon. "A national landslide inventory for Denmark." Earth System Science Data 14, no. 7 (July 11, 2022): 3157–65. http://dx.doi.org/10.5194/essd-14-3157-2022.

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Abstract. Landslides are a frequent natural hazard occurring globally in regions with steep topography. Additionally, landslides play an important role in landscape evolution by transporting sediment downslope. Landslide inventory mapping is a common technique to assess the spatial distribution and extent of landslides in an area of interest. High-resolution digital elevation models (DEMs) have proven to be useful databases to map landslides in large areas across different land covers and topography. So far, Denmark had no national landslide inventory. Here, we create the first comprehensive national landslide inventory for Denmark derived from a 40 cm resolution DEM from 2015 supported by several 12.5 cm resolution orthophotos. The landslide inventory is created based on a manual expert-based mapping approach, and we implemented a quality control mechanism to assess the completeness of the inventory. Overall, we mapped 3202 landslide polygons in Denmark with a level of completeness of 87 %. The complete landslide inventory is freely available for download at https://doi.org/10.6084/m9.figshare.16965439.v2 (Svennevig and Luetzenburg, 2021) or as a web map (https://data.geus.dk/landskred/, last access: 6 June 2022) for further investigations.

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Osako, L. S. "UPDATING LANDSLIDE INVENTORY MAPS USING HIGH RESOLUTION DIGITAL ORTHOPHOTOS AND DIGITAL SURFACE AND ELEVATION MODELING: THE CASE STUDY OF BRUSQUE CITY, SANTA CATARINA STATE, BRAZIL." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2021 (June 17, 2021): 251–55. http://dx.doi.org/10.5194/isprs-annals-v-3-2021-251-2021.

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Abstract. This study reports the updating of the landslide inventory map of Brusque city, State of Santa Catarina, Southern Brazil. Twenty-six digital orthophotos acquired in 2010 with a ground resolution of 0.4 meters were analyzed together with shaded relief images obtained by Digital Surface and Digital Elevation modelling with spatial resolution of 1 meter. These remote sensing products were treated, analyzed and visualized in a Geographic Information System – GIS environment. The landslide inventory included a total of 500 landslides, corresponding to a mean density of 1.76 landslides per km2. The total area of landslide occurrences is 0.81 km2, which corresponds to 0.29% of the study area. 0.22 km2 of the total area landslides occur inside the urban perimeter and 0.59 km2 outside Brusque. The geological context and the occurrence of landslides were analyzed together: 277 landslides affect altered metamorphic rocks, 179 landslides granite, and 44 landslides unconsolidated sediments. The updated landslide inventory map showed that 80% of mapped landslides occur in areas of high and moderate susceptibility.

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Nicușor, NECULA, and NICULIȚĂ Mihai. "Landslide reactivation susceptibility modeling in Iași Municipality." Revista de Geomorfologie 19, no. 1 (December 30, 2017): 101–17. http://dx.doi.org/10.21094/rg.2017.021.

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Iași Municipality as other urban areas around the world has a long history of landslide activity which needs to be studied considering the urban sprawl. We performed a first landslide susceptibility modeling for Iași Municipality based on the AHP method using weights given by expert judgements regarding the influence of preparatory and conditional landslides factors (slope, ruggedness, lithology, historic landslide density and hydrogeology) and weights given by the historic landslide density over the factors. The landslide inventory was performed based on LiDAR data and aerial imagery using the geomorphological mapping of landslide elements. Using the landslide probability density function we have shown that the landslide inventory is valid and we have selected 411 landslides considered recent to be used for the validation. The resulted susceptibility show that the most susceptible to landslide reactivations are the hillslopes of cuesta hills with relict and old landslides, especially at the main scarp. Recent landslides are mainly scarp slumps or landslide body translational reactivations. The validation showed that almost 70% of recent landslides are located on high susceptibility areas. Future work to improve the susceptibility and extend it to hazard modeling is needed considering the long history of landslide reactivations from Iași Municipality and the slow evolution of old landslides like in Țicău neighborhoods.

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Rabby, Yasin Wahid, and Yingkui Li. "Landslide Inventory (2001–2017) of Chittagong Hilly Areas, Bangladesh." Data 5, no. 1 (December 25, 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 the dataset. In this area, slide and flow were the two dominant types of landslides. Out of the five districts (Bandarban, Chittagong, Cox’s Bazar, Khagrachari, and Rangamati), most (55%) of the landslides occurred in the Chittagong and Rangamati districts. About 45% of the landslides were small (<100 m2) in size, while the maximum size of the detected landslides was 85202 m2. This dataset will help to understand the characteristics of landslides in CHA and provide useful guidance for policy implementation.

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Huang, Yuandong, Chong Xu, Lei Li, Xiangli He, Jia Cheng, Xiwei Xu, Junlei Li, and Xujiao Zhang. "Inventory and Spatial Distribution of Ancient Landslides in Hualong County, China." Land 12, no. 1 (December 31, 2022): 136. http://dx.doi.org/10.3390/land12010136.

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The establishment of a regional historical landslide inventory plays an indispensable role in landslide assessment and prevention. In this study, based on the Google Earth platform, an inventory of ancient landslides in Hualong County, Qinghai Province was established. The inventory includes 3517 ancient landslides with individual areas ranging from 2354.6 m2 to 12.44 km2. The dominant characteristics include an elevation of 2600–2800 m, slope of 10–20°, aspects SW, W, and NW, mudstone and sandstone of Paleoproterozoic, Neoproterozoic and Quaternary loess, 8–10 km from faults, 0–1 km from rivers, cultivated and grassland types, NDVI of 0.25–0.3, and an average precipitation in the range of 480–500 mm. In addition, the geometric analysis of landslides shows that the average height and length of ancient landslides in the study area are 151.92 m and 429.52 m, respectively. The power law relationship between the two is L= 0.41 × H1.37. The ancient landslide inventory of this study exhibits an integrated pattern of the development characteristics and spatial distribution of landslides in the Tibetan Plateau and the upper Yellow River basin, as well as providing a significant reference for subsequent landslide susceptibility mapping in the area.

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Hao, Lina, Cees van Westen, Tapas Ranjan Martha, Pankaj Jaiswal, and Brian G. McAdoo. "Constructing a complete landslide inventory dataset for the 2018 monsoon disaster in Kerala, India, for land use change analysis." Earth System Science Data 12, no. 4 (November 16, 2020): 2899–918. http://dx.doi.org/10.5194/essd-12-2899-2020.

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Abstract. Event-based landslide inventories are important for analyzing the relationship between the intensity of the trigger (e.g., rainfall, earthquake) and the density of the landslides in a particular area as a basis for the estimation of the landslide probability and the conversion of susceptibility maps into hazard maps required for risk assessment. They are also crucial for the establishment of local rainfall thresholds that are the basis of early warning systems and for evaluating which land use and land cover changes are related to landslide occurrence. The completeness and accuracy of event-based landslide inventories are crucial aspects to derive reliable results or the above types of analyses. In this study, we generated a relatively complete landslide inventory for the 2018 monsoon landslide event in the state of Kerala, India, based on two inventories that were generated using different methods: one based on an object-based image analysis (OBIA) and the other on field surveys of damaging landslides. We used a collaborative mapping approach based on the visual interpretation of pre- and post-event high-resolution satellite images (HRSIs) available from Google Earth, adjusted the two inventories, and digitized landslides that were missed in the two inventories. The reconstructed landslide inventory database contains 4728 landslides consisting of 2477 landslides mapped by the OBIA method, 973 landslides mapped by field survey, 422 landslides mapped both by OBIA and field methods, and an additional 856 landslides mapped using the visual image (Google Earth) interpretation. The dataset is available at https://doi.org/10.17026/dans-x6c-y7x2 (van Westen, 2020). Also, the location of the landslides was adjusted, based on the image interpretation, and the initiation points were used to evaluate the land use and land cover changes as a causal factor for the 2018 monsoon landslides. A total of 45 % of the landslides that damaged buildings occurred due to cut-slope failures, while 34 % of those having an impact on roads were due to road cut-slope failures. The resulting landslide inventory is made available for further studies.

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Kien, Nguyen Trung, The Viet Tran, Vy Thi Hong Lien, Pham Le Hoang Linh, and Nguyen Quoc Thanh. "Landslide Susceptibility Mapping Based on the Combination of Bivariate Statistics and Modified Analytic Hierarchy Process Methods: A Case Study of Tinh Tuc Town, Nguyen Binh District, Cao Bang Province, Vietnam." Journal of Disaster Research 16, no. 4 (June 1, 2021): 521–28. http://dx.doi.org/10.20965/jdr.2021.p0521.

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Tinh Tuc town, Cao Bang province, Vietnam is prone to landslides due to the complexity of its climatic, geological, and geomorphological conditions. In this study, in order to produce a landslide susceptibility map, the modified analytical hierarchy process and landslide susceptibility analysis methods were used together with the layers, including: landslide inventory, slope, weathering crust, water storage, geology, land use, and distance from the road. In the study area, 98% of landslides occurred in highly or completely weathered units. Geology, land use, and water storage data layers were found to be important factors that are closely related with the occurrence of landslides. Although the weight of the “distance from the road” factor has a low value, the weight of layer “<100 m” has a high value. Therefore, the landslide susceptibility index very high is concentrated along the roads. For the validation of the predicted result, the landslide susceptibility map was compared with the landslide inventory map containing 47 landslides. The outcome shows that about 90% of these landslides fall into very high susceptibility zones.

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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 (February 10, 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 to shallow disrupted landslides and rock falls, but also include coherent deep-seated landslides and rock slides. These landslides were delineated using pre- and post-earthquake high-resolutions satellite images. Spatial distribution maps and contour maps of landslide number density, landslide area percentage, and landslide erosion thickness were constructed in order to analyze the spatial distribution patterns of co-seismic landslides. Statistics of size distribution and morphometric parameters of co-seismic landslides were carried out and were compared with other earthquake events in the world. Four proxies of co-seismic landslide abundance, including landslides centroid number density (LCND), landslide top number density (LTND), landslide area percentage (LAP), and landslide erosion thickness (LET) were used to correlate co-seismic landslides with various landslide controlling parameters. These controlling parameters include elevation, slope angle, slope aspect, slope curvature, topographic position, distance from drainages, lithology, distance from the epicenter, distance from the Enriquillo–Plantain Garden fault, distance along the fault, and peak ground acceleration (PGA). A comparison of these impact parameters on co-seismic landslides shows that slope angle is the strongest impact parameter on co-seismic landslide occurrence. Our co-seismic landslide inventory is much more detailed than other inventories in several previous publications. Therefore, we carried out comparisons of inventories of landslides triggered by the Haiti earthquake with other published results and proposed possible reasons of any differences. We suggest that the empirical functions between earthquake magnitude and co-seismic landslides need to update on the basis of the abundant and more complete co-seismic landslide inventories recently available.

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Більше джерел

Дисертації з теми "Landslides inventary"

Franklin, Kristel. "A Landslide Risk Management Approach for the Stillwater to Ngakawau Rail Corridor (SNL96 to 126km) in the Lower Buller Gorge, New Zealand." Thesis, University of Canterbury. Geologocial Sciences, 2012. http://hdl.handle.net/10092/6573.

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This thesis has examined the 30km long rail corridor through the Lower Buller Gorge, on the Stillwater Ngakawau Line, between SNL96 and 126km, using a landslide risk management approach. The project area is characterised by high annual rainfall (>2,000mm per year), and steep topography (slopes typically ≥20°) adjacent to the rail corridor. The track formation generally follows the natural contour near the base of the hillslope through the Lower Buller Gorge, and consequently involves many curves but relatively limited cut slopes into adjacent rock outcrops. The distance between the base of adjacent hillslopes and rail is frequently <2m horizontally. A variety of basement and Tertiary lithologies are present, including granite, breccias, indurated sandstone/mudstone, and limestone. The primary focus of this thesis has been on upslope-sourced landsliding onto the rail corridor, and on two short lengths (20m and 450m) that currently have a 25km/hour speed restriction imposed at Whitecliffs and Te Kuha respectively. Rainfall-induced and earthquake-generated landslide triggering mechanisms were examined in detail. A landslide inventory has been compiled to determine the characteristics and distribution of identified slope failures over time, and to establish any correlation with topography and geology. Sixty individual landslide events were identified since the line became fully operational in the 1940s, based on desktop reviews, and field inspections for more recent events. To reflect the presence of small magnitude landslide events, a project-specific logarithmic classification of landslides was adopted from <10m³ (very small volume) to ≥10,000m³ (very large volume). An absence of a higher proportion of ‘very small’ to ‘small’ landslide volumes (<100m³) in the inventory reflects incomplete reporting of these comparatively lower magnitude, but higher frequency, events. The establishment of a robust landslide inventory to document future events, in a consistent and readily accessible format, is required for continued monitoring and review of landslide risk management practices in the Lower Buller Gorge. Combining landslide inventory data and physical characteristics of the project area enabled the development of a qualitative landslide zonation map that assigned ‘high’, ‘high-moderate’, ‘moderate’ and ‘low’ landslide susceptibility classes. The principal area of slope instability above the rail corridor is 22.5km in length between SNL103.5 and 126.0km, associated predominantly with basement lithologies (Tuhua Granite; Hawks Crag Breccia; Greenland Group). The most frequently occurring landslides are shallow, typically less than 3m deep, translational failures triggered in regolith or colluvium materials. Rainfall-induced debris slides and flows are dominant, given the high annual rainfall and associated high frequency of high intensity or long duration rainfall events. Very small to medium landslides (<1,000m³) have the potential to impact the rail corridor with an average frequency of around one every two years, causing damage to infrastructure or affecting rail operations. Very large landslides (≥10,000m³) can be expected every 10 to 20 years based on a limited historical record. The narrow rail corridor and absence of sufficient catch areas above or adjacent to the rail causes continual operational challenges due to upslope-sourced landslide debris, and high susceptibility to slope failures, particularly west of SNL103.50km. Development of a rainfall-threshold for proactive inspection of the rail corridor is recommended, including the establishment of a rain gauge network through the Lower Buller Gorge. Earthquake-generated landslides significantly impacted the rail during the magnitude 7.1 Inangahua earthquake in 1968 and to a much lesser extent during the magnitude 6.1 Westport earthquake in 1991. The rail was not fully constructed through the Lower Buller Gorge at the time of the magnitude 7.8 Buller (Murchison) Earthquake in 1929, which generated widespread landsliding in the Buller and Nelson regions. Earthquake-generated landsliding can be expected through the Lower Buller Gorge from earthquakes of magnitude ≥6, and track inspection is recommended in the event of magnitude 5 or greater earthquakes. Detailed geological characterisation and mapping at Whitecliffs and Te Kuha was conducted, including a LiDAR survey at Whitecliffs that enabled visualisation of the ground surface without the interference of vegetation. The limestone outcrop at Whitecliffs comprises 60-70m high near-vertical cliffs with a well-established talus apron at the base, extending to the rail corridor. Three widely spaced open fractures sets are present at the top of Whitecliffs that propagate into the cliff-face. There has been no detectable movement on selected key fracture sets since monitoring commenced in 1993 and there is no confirmed evidence of large-scale cliff collapse during the 1968 Inangahua earthquake. Whitecliffs is not as susceptible to failure as other slopes inspected in the project area due to structural controls, primarily being the dipping of strata back into the cliff-face and widely space joint sets. Establishment of inspection protocols for earthquake events impacting the area, including real-time monitoring of selected fractures at Whitecliffs is recommended. A 2km-length corridor site model produced for Te Kuha demonstrated ‘high’ landslide susceptibility is not confined to slopes above the existing 450m speed restriction zone. Removal of the speed restrictions at Whitecliffs and Te Kuha can be considered, as the increased exposure time is not considered sufficient justification given the extent of other susceptible areas to landsliding affecting the Lower Buller Gorge rail corridor. The principal conclusion from this thesis project is that there is on-going risk to rail operations predominantly from shallow translational landsliding in regolith-colluvium materials. The majority of these will be generated by long-duration or intense rainfall events. Development of threshold-based methods for effective track management is recommended, including the establishment of a rain gauge network through the Lower Buller Gorge, and landslide inventory database. Site-specific engineering measures could be adopted, such as catch benches or avalanche-type shelters, where justified on a cost-benefit basis.

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Mickelson, Katherine A. "LiDAR-Based Landslide Inventory and Susceptibility Mapping, and Differential LiDAR Analysis for the Panther Creek Watershed, Coast Range, Oregon." PDXScholar, 2011. https://pdxscholar.library.pdx.edu/open_access_etds/253.

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LiDAR (Light Detection and Ranging) elevation data were collected in the Panther Creek Watershed, Yamhill County, Oregon in September and December, 2007, March, 2009 and March, 2010. LiDAR derived images from the March, 2009 dataset were used to map pre-historic, historic, and active landslides. Each mapped landslide was characterized as to type of movement, head scarp height, slope, failure depth, relative age, and direction. A total of 153 landslides were mapped and 81% were field checked in the study area. The majority of the landslide deposits (127 landslides) appear to have had movement in the past 150 years. Failures occur on slopes with a mean estimated pre-failure slope of 27° ± 8°. Depth to failure surfaces for shallow-seated landslides ranged from 0.75 m to 4.3 m, with an average of 2.9 m ± 0.8 m, and depth to failure surfaces for deep-seated landslides ranged from 5 m to 75m, with an average of 18 m ± 14 m. Earth flows are the most common slope process with 110 failures, comprising nearly three quarters (71%) of all mapped deposits. Elevation changes from two of the successive LiDAR data sets (December, 2007 and March, 2009) were examined to locate active landslides that occurred between the collections of the LiDAR imagery. The LiDAR-derived DEMs were subtracted from each other resulting in a differential dataset to examine changes in ground elevation. Areas with significant elevation changes were identified as potentially active landslides. Twenty-six landslides are considered active based upon differential LiDAR and field observations. Different models are used to estimate landslide susceptibility based upon landslide failure depth. Shallow-seated landslides are defined in this study as having a failure depth equal to less than 4.6 m (15 ft). Results of the shallow-seated susceptibility map show that the high susceptibility zone covers 35% and the moderate susceptibility zone covers 49% of the study area. Due to the high number of deep-seated landslides (58 landslides), a deep-seated susceptibility map was also created. Results of the deep-seated susceptibility map show that the high susceptibility zone covers 38% of the study area and the moderate susceptibility zone covers 43%. The results of this study include a detailed landslide inventory including pre-historic, historic, and active landslides and a set of susceptibility maps identifying areas of potential future landslides.

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Garriss, Rebecca Naomi. "Modeling Surface Roughness as an Indicator of Age and Landslide Susceptibility, and the Spatial Inventory of Prehistoric Landslides: Green River Valley, Washington." PDXScholar, 2019. https://pdxscholar.library.pdx.edu/open_access_etds/5175.

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Developing detailed landslide inventory maps of prehistoric landslides is essential to interpret the frequency and conditions under which slopes have failed. When coupled with age estimates, landslide inventories can yield better predictions for future slope failures, thereby improving hazard assessments and increasing chances for mitigation. Developing proxies for landslide age is an important area of research, but age dating prehistoric landslides can be challenging due to sparse datable organic material within landslide deposits, and to time or access constraints. In this thesis, surface roughness of the landslide deposit is used to construct a best-fit age-roughness model that quantitatively assigns age based on smoothing of the deposit with time for landslides in the Green River Valley (GRV), located in King County, Washington. Hillslopes in the valley are composed of glacial sediments and are prone to failure caused by three main triggers: over steepening caused by lateral migration of the Green River, Holocene climatic change (precipitation and temperature), and seismicity (Cascadia Subduction Zone and the Seattle Fault). We examine the distribution of landslides in the GRV using high-resolution lidar data and find a threshold relief of approximately 60 m corresponds to landslide locations. Four dated samples with ages ranging from 492 to 0 cal. BP defined age-roughness models that showed 44 to 51 of the 61 mapped landslides occurred from 5000 to 100 cal. BP, after the climate changed to cooler and wetter conditions. These 61 landslides, on average, decrease in age as you move upstream, consistent with upstream migration of a knickzone. From these age-roughness models the GRV has a recurrence interval of one landslide every 38 years since 1000 cal. BP (26 landslides/1000 years), which has implications for managing landslide hazards.

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England, Kevin. "A GIS approach to landslide hazard management for the West Coast region, New Zealand." Thesis, University of Canterbury. Geological Sciences, 2011. http://hdl.handle.net/10092/5337.

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Landslides, in their various forms, are a common hazard in mountainous terrain, especially in seismically active areas and regions of high rainfall. The West Coast region of New Zealand is dissected by many active faults, experiences frequent earthquakes and in many locations annual rainfall exceeds ten meters. Consequently, landslides are widespread in the region and since European settlement began, have been responsible for 27 deaths, along with frequent damages to road and rail infrastructure, settlements and agricultural land. This study identifies areas that are susceptible to rainfall triggered landslides in the West Coast region. To achieve this, a landslide susceptibility map was produced using bivariate statistics and the analytical hierarchy process. It has an accuracy that predicts 80% of all the landslides in the top 40% of the susceptibility scores on the map. As part of this process, 3221 rainfall triggered landslides and 522 earthquake (or other trigger) triggered landslides have been mapped and digitised into a Geographic Information System. In parallel with this, a descriptive historical catalogue of 1987 landslides has been compiled from the available sources. These new tools provide decision-makers with an enhanced means of managing landslide hazards in the West Coast region. In order to avoid misinterpretation the study has been carried out in compliance with the “Guidelines for landslide susceptibility, hazard and risk zoning for land use planning”, which was published in 2008 by the Joint Technical Committee on Landslides and Engineered Slopes. The tools developed in this thesis represent a fundamental step in land-use planning and set-up of landslide hazard management in the West Coast region.

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Duplantis, Serin. "Landslide Inventory Mapping and Dating using LiDAR-Based Imagery and Statistical Comparison Techniques in Milo McIver State Park, Clackamas County, Oregon." PDXScholar, 2011. https://pdxscholar.library.pdx.edu/open_access_etds/271.

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A landslide inventory was conducted for the Redland and Estacada Quadrangles of western Oregon using LiDAR DEMs. Many of these landslides were field verified. In total, 957 landslides were mapped using LiDAR whereas previously, only 228 landslides were believed to exist in the study area based on SLIDO information. In Milo McIver State Park, 41 landslides were mapped using LiDAR. SLIDO indicated only three landslides present within the park. A sequence of seven terraces of the Clackamas River is mapped in Milo McIver State Park. Landslides in the park predominantly occur between these terraces. Soils studied from representative areas within landslide complexes and terrace surfaces help to formulate a soil chronosequence for the study area. The youngest soils, Entisols, develop in less than 1,600 years, Inceptisols between 1,600-10,000 years, and the oldest soils, Alfisols, develop in at least 10,000 years. Classifications of soil profiles netted ten Alfisols (mainly on upper terraces), 49 Inceptisols, and 20 Entisols (reactivated slides in the complexes). The soils are predominantly ML soils and have Loam and Silt Loam textures. Results of spectral analysis, carried out on the LiDAR DEMs, indicate that the spectral character of landslides changes with age. However, applying statistical tools such as the Kolmogorov-Smirnov test (K-S test) and cluster analysis suggest that it is not possible to use spectral analysis to determine the relative age of failed surfaces. The K-S test showed that the spectral character among landslides varies widely. Cluster analysis resulted groupings not based on age or terrain type. The result of the cluster analysis illustrates that it may not be realistic to use a single cutoff, which separates failed terrain from unfailed, in the spectral distributions to analyze an entire region. In all, the results of the spectral analysis were not conclusive. Individual landslides, not complexes, should be used in future studies, since complexes have slides that are continually reactivating. The landslides were also too young to display very much differentiation in age based on soils and spectral analysis. Essentially, a similar study should be conducted using individual landslides with a large age range for more conclusive results.

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Dirringer, Sebastian. "LANDSLIDE INVENTORY MAPPING OF THE DRIFT CREEK WATERSHED, LINCOLN COUNTY, OREGON, USING LIDAR DATA." Kent State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=kent1445452392.

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Schlögel, Romy. "Quantitative landslide hazard assessment with remote sensing observations and statistical modelling." Thesis, Strasbourg, 2015. http://www.theses.fr/2015STRAH009/document.

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La création d’inventaires de glissements de terrain sert de base à l’évaluation quantitative de l’aléa et à la gestion du risque. Les cartes d’inventaires de mouvements gravitaires sont produites en utilisant des méthodes conventionnelles (campagnes de mesures de terrain, interprétation visuelle de photographies aériennes) et par des techniques de télédétection plus innovantes. Une des techniques les plus prometteuses pour la détection et la cartographie des glissements de terrain fait appel à la mesure de la déformation du sol par interférométrie radar satellitaire (InSAR). Cette thèse est consacrée à la constitution d’un inventaire multi-dates à partir de données multi-sources (incluant les données InSAR) en vue d’évaluer de façon quantitative l’aléa glissement de terrain. Les méthodes associent l’analyse de produits d’Observation de la Terre et des modélisations statistiques pour la caractérisation de l’aléa dans la vallée de l’Ubaye, une région rurale et montagneuse des Alpes du Sud. Elles ont été développées à l’échelle du versant (1:5.000-1:2.000) et à l’échelle régionale (1:25.000- 1:10.000). Pour la création des inventaires, cette étude propose une interprétation combinée de séries temporelles d’images SAR, de photographies aériennes, de cartes géomorphologiques, de rapports historiques et de campagnes de terrain. A l’échelle locale, une méthodologie d'interprétation guidée par la géomorphologie et utilisant l’InSAR a été proposée pour identifier les champs de déplacement des glissements de terrain et mesurer leur évolution. A l’échelle régionale, la distribution spatio-temporelle des glissements de terrain a été caractérisée et l’aléa a été calculé à partir des probabilités d’occurrence spatiale et temporelle pour une intensité donnée des phénomènes. L’occurrence spatiale est estimée grâce à un modèle multivarié (régression logistique). L’occurrence temporelle des mouvements gravitaires est évaluée grâce à un modèle de probabilité de Poisson permettant de calculer la probabilité de dépassement (incluant ou non un seuil de surface) pour plusieurs périodes de retour. Plusieurs unités d'analyse spatiale ont été utilisées pour la modélisation ; les résultats démontrent clairement leur influence sur les résultats. L’analyse de l’aléa a été réalisée sur quelques cas spécifiques. Des relations entre les (ré)activations de glissements de terrain et les facteurs déclenchants sont proposées
The analysis of landslide inventories is the basis for quantitative hazard assessment. Landslide inventory maps are prepared using conventional methods (field surveys, visual interpretation of aerial photographs) and new remote sensing techniques. One of the most promising techniques for landslide detection and mapping is related to the measurement of the ground deformation by satellite radar interferometry (InSAR).This doctoral thesis is dedicated to the preparation of a multi-date inventory, from multi-source data, including InSAR, for a quantitative assessment of landslide hazard. The methods associate the analysis of Earth Observation products and statistical modelling for the characterization of landslide hazard in a rural and mountainous region of the South French Alps. They have been developed at the slope (1:5000-1:2000) and the regional (1:25.000-1:10.000) scales. For the creation of a multi-date inventory, this study developed a combined interpretation of time series of SAR images, aerial photographs, geomorphological maps, historical reports and field surveys. At the slope-scale, a geomorphologically-guided methodology using InSAR was proposed to identify landslide displacement patterns and measure their kinematic evolution. At regional scale, spatio-temporal distribution of landslides is characterised and hazard is assessed by computing spatial and temporal probabilities of occurrence for a given intensity of the phenomena. The spatial occurrence is evaluated using a multivariate model (logistic regression). The temporal occurrence of landslide is estimated with a Poisson probability model to compute exceedance probabilities for several return periods. Different mapping units were used in the modelling, and their influence on the results is discussed. Analysis of landslide hazard is then proposed for some particular hotspots. Relationships between landslide (re)activations and triggering factors are envisaged

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Growney, Lawrence P. "Landslide Inventory and Susceptibility Mapping of the Upper Canyon Creek Basin, Cascade Range, Skamania County, Washington." PDXScholar, 1994. https://pdxscholar.library.pdx.edu/open_access_etds/5016.

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Contact relations, and bedrock and overburden characteristics for approximately 8100 ha of the upper Canyon Creek basin, Skamania County, Washington, have been assessed in order to determine the causes and extent of failures and to assign slope failure susceptibilities to the area. The study area is located in the western Cascade Range on land administered by the Gifford Pinchot National Forest. Clear-cutting over the past 30 years has impacted between 50% to 80% of the study area. The total surface area occupied by failure deposits (198.6 ha) is less than 2.5% of the study area. Failures occur by one of seven processes, in decreasing order of abundance: rockfall (53.6%), rock avalanche (25.3%), slumps (15.6%), streambank failures (3.4%), soil and debris slips (1%), snow avalanches (debris falls) (1%), and translational slides (0.1%). Integrity of the bedrock is primarily influenced by jointing characteristics, in particular: dilation, orientation and continuity. Groundwater is an important constituent in the failure of fragmental igneous bedrock, but has very little impact in inducing failure in compact igneous bedrock. Areas underlain by fragmental igneous bedrock have a proportionally greater number of translational and rotational failures. With increasing compact igneous bedrock content, small volume rockfall failures become more predominant. Sixteen to twenty percent of the roadbed surfaces in the study area are experiencing some type of failure. Up to 99 percent of roadbed failures are confined to the roadfill prism. Failure due to degradation of the subgrade is rarely obseived. Arcuate and sliver-like cracks, offsets, sinkholes, concentrations of potholes, broad slumps and chute formation in the roadfill are indicators of failure. Ditches without culverts, or with poorly placed, damaged or leaking culverts, result in oversaturation and piping within the fill which may lead to failure of the road. The potential for slope failure is assigned a rating of low, moderate or high. These ratings are based on a qualitative assessment of the impact of various factors on the factor of safety, through their ability to reduce the cohesion and friction of affected rock and soil masses. Low susceptibility areas cover approximately 10 percent of the area (810 ha). Slopes are less than 3.5 degrees. Nearly 70 percent of the study area can be classified as moderately susceptable (5670 ha). Slopes in these areas range up to the natural angle of repose. The high susceptibility category covers areas with near vertical slopes, continuous rockfall, previous failures or strong indications of potential failure. These areas cover about 20 percent of the basin ( 1620 ha) and include areas of actual failure and adjacent areas which have not failed but possess similar bedrock, cultural and groundwater characteristics.

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Festa, Davide. "Debris flow susceptibility mapping for initiation areas at medium scale: a case study in Western Norway." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/18141/.

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In recent years, rapid mass movements such as debris flow and debris avalanches resulted in a significant impact on Norwegian society and economy. The need for dispelling the uncertainty inherent in landslide risk assessment has encouraged the development of hazard and susceptibility maps. Different statistically-based modelling methods, in combination with geographic information systems (GIS), have been extensively used to ascertain landslide susceptibility in quantitative terms. This thesis proposes a bivariate statistical method (Weights of Evidence) for assessing the spatial proneness of debris flows within Førde and Jølster municipalities (Western Norway), where emphasis is put on the critical conditions of initiation. Since no feasible landslide database could be exploited for susceptibility mapping at medium scale, this thesis addressed the realisation of a new inventory. By coupling pre-existing data from remote sensing and field observations, circa 1100 debris flow initiation areas were outlined and differentiated in four categories with geomorphological repeatable features. Simple topography-based parameters such as slope, upslope contributing area, curvature and roughness were used to find significant statistical differences between the initiation areatypes. Moreover, they were employed together with other thematic maps as informative layers for landslide modelling. In order to test the model fitting performance, the ROC curves method is used in this thesis. The evaluation of different discretization schemes and combinations of the above-mentioned variables led to individuate models with different performances in terms of success rates. The best model is obtained by using only a combination of slope, flow accumulation and elevation (82% true positive rate), while the manual adjustment of the classification scheme did not lead to significant improvements.

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Baroni, Cristina <1973&gt. "Quality assessment of a landslide inventory map and its application to land‐use planning. A case study in the Northern Apennines (Emilia‐Romagna region, Italy)." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/6843/1/Baroni_Cristina_tesi.pdf.

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Landslide hazard and risk are growing as a consequence of climate change and demographic pressure. Land‐use planning represents a powerful tool to manage this socio‐economic problem and build sustainable and landslide resilient communities. Landslide inventory maps are a cornerstone of land‐use planning and, consequently, their quality assessment represents a burning issue. This work aimed to define the quality parameters of a landslide inventory and assess its spatial and temporal accuracy with regard to its possible applications to land‐use planning. In this sense, I proceeded according to a two‐steps approach. An overall assessment of the accuracy of data geographic positioning was performed on four case study sites located in the Italian Northern Apennines. The quantification of the overall spatial and temporal accuracy, instead, focused on the Dorgola Valley (Province of Reggio Emilia). The assessment of spatial accuracy involved a comparison between remotely sensed and field survey data, as well as an innovative fuzzylike analysis of a multi‐temporal landslide inventory map. Conversely, long‐ and short‐term landslide temporal persistence was appraised over a period of 60 years with the aid of 18 remotely sensed image sets. These results were eventually compared with the current Territorial Plan for Provincial Coordination (PTCP) of the Province of Reggio Emilia. The outcome of this work suggested that geomorphologically detected and mapped landslides are a significant approximation of a more complex reality. In order to convey to the end‐users this intrinsic uncertainty, a new form of cartographic representation is needed. In this sense, a fuzzy raster landslide map may be an option. With regard to land‐use planning, landslide inventory maps, if appropriately updated, confirmed to be essential decision‐support tools. This research, however, proved that their spatial and temporal uncertainty discourages any direct use as zoning maps, especially when zoning itself is associated to statutory or advisory regulations.

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Книги з теми "Landslides inventary"

Il dissesto idrogeologico: Inventario e prospettive. Roma: Accademia nazionale dei Lincei, 2002.

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Rijal, Kedar. Pre earthquake nationwide landslide inventory of Nepal. Kathmandu: Central Department of Environmental Science, Strengthening Disaster Risk Management in Academia, Tribhuvan University, 2015.

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M, Cruden D., Denison Judith S, and Geological Survey (U.S.), eds. The directory of the World Landslide Inventory. [Reston, Va.?]: U.S. Dept. of the Interior, U.S. Geological Survey, 1992.

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M, Brown William. The directory of the World Landslide Inventory. [Denver, CO]: U.S. Geological Survey ; National Landslide Information Center [distributor, 1992.

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M, Brown William. The directory of the World Landslide Inventory. [Reston, Va.?]: U.S. Dept. of the Interior, U.S. Geological Survey, 1992.

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Harp, Edwin L. Inventory of landslides triggered by the 1994 Northridge, California earthquake. [Denver, CO]: U.S. Geological Survey, 1995.

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An inventory of major landslides in Sikkim-Darjeeling Himalaya. Kolkata: Geological Survey of India, 2009.

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1929-, Brabb Earl E., and Geological Survey (U.S.), eds. Map showing the status of landslide inventory and susceptibility mapping in California. [Reston, Va.?]: U.S. Dept. of the Interior, Geological Survey, 1986.

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Dragovich, Joe D. Landslide map and inventory, Tilton River-Mineral Creek area, Lewis County, Washington. [Olympia, Wash.]: Washington Division of Geology and Earth Resources, 1995.

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Hofmeister, R. Jon. Slope failures in Oregon: GIS inventory for three 1996/97 storm events. [Portland, Or.]: Dept. of Geology and Mineral Industries, 2000.

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Mihalić Arbanas, Snježana, Sanja Bernat Gazibara, Martin Krkač, Marko Sinčić, Hrvoje Lukačić, Petra Jagodnik, and Željko Arbanas. "Landslide Detection and Spatial Prediction: Application of Data and Information from Landslide Maps." In Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022, 195–212. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18471-0_16.

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AbstractThe need for landslide maps of wider areas has increased with the understanding that proper planning will considerably decrease the construction and maintenance cost of structures. The main objective of the paper is to present types of data and information on landslides that can be derived from landslide inventory and landslide susceptibility maps and their use for spatial and urban planning. Recent examples of landslide zonation maps from Croatia are given to show the possibility of the derivation of data about landslides by using LIDAR (Light Detection and Ranging) DTM (Digital Terrain Model) for the compilation of historical landslide inventory. The application of data about landslide phenomena is compared with the application of information from landslide susceptibility zonation maps. It is concluded that a multi-level and hierarchical approach is necessary to reach the cost-effectiveness of nationwide production of landside maps for land-use planning.

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Huntley, David, Drew Rotheram-Clarke, Roger MacLeod, Robert Cocking, Philip LeSueur, Bill Lakeland, and Alec Wilson. "Scalable Platform for UAV Flight Operations, Data Capture, Cloud Processing and Image Rendering of Landslide Hazards and Surface Change Detection for Disaster-Risk Reduction." In Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022, 49–61. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18471-0_4.

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AbstractThis International Programme on Landslide (IPL) Project 202 paper presents a scalable remote piloted aircraft system (RPAS) platform that streamlines unoccupied aerial vehicle (UAV) flight operations for data capture, cloud processing and image rendering to inventory and monitor slow-moving landslides along the national railway transportation corridor in southwestern British Columbia, Canada. Merging UAV photogrammetry, ground-based real-time kinematic global navigation satellite system (RTK-GNSS) measurements, and satellite synthetic aperture radar interferometry (InSAR) datasets best characterizes the distribution, morphology and activity of landslides over time. Our study shows that epochal UAV photogrammetry, benchmarked with periodic ground-based RTK-GNSS measurements and satellite InSAR platforms with repeat visit times of weeks (e.g., RADARSAT-2 and SENTINEL-1) to days (e.g. RADARSAT Constellation Mission) provides rapid landslide monitoring capability with cm-scale precision and accuracy.

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Moncayo, Steven, and Guillermo Ávila. "Landslide Travel Distances in Colombia from National Landslide Database Analysis." In Progress in Landslide Research and Technology, Volume 1 Issue 1, 2022, 315–25. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16898-7_24.

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AbstractThe analysis of landslide processes and consequent damages constitutes an important aspect in risk assessment. The potential reach zones of a landslide can be estimated by analyzing the behavior of past events under particular geological, geomorphological, and climatic conditions. Although landslide risk models have been developed for temperate zones, little information is available for tropical countries, so empirical equations are used without validation. In this study, a dataset comprising characteristic parameters for 123 landslides from the Andean region of Colombia was compiled from the digital inventory of the Colombian Geological Survey Mass Movement Information System (SIMMA). Empirical landslide travel-distance models were developed using simple and multiple regression techniques. The results revealed that the volume of the displaced mass, the slope angle, the maximum landslide height, and geomorphological environment were the predominant factors controlling the landslides travel distances in the study area. Similarly, a strong correlation was found between the planimetric area and landslide volume, validating the model of Iverson et al. (1998) (Iverson et al., in Geol Soc Am Bull 110:972–984, 1998). The proposed models show a reasonable fit between the observed and predicted values, and exhibited higher prediction capacity than other models in the literature. An example of application of the prediction equations developed here illustrates the procedure to delineate landslide hazard zones for different exceedance probabilities.

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Bornaetxea, Txomin, Andrée Blais-Stevens, and Brendan Miller. "Landslide Inventory Map of the Valemount Area, British Columbia, Canada. A Detailed Methodological Description." In Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022, 373–81. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18471-0_27.

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AbstractLandslides are a recurring geomorphological process in high mountainous areas like Valemount in the Canadian Rocky Mountains, British Columbia. The compilation of detailed information about the spatial distribution and characteristics of past landslides is essential for assessing future potential hazards. To provide baseline geoscience information to stakeholders and decision-makers, we carried out a landslide inventory that covers roughly 1200 km2. Using visual interpretation of aerial orthophotos, a digital elevation model of 5 × 5 m resolution and satellite imagery, we compiled up to 1286 landslides and classified them into 11 categories and three levels of certainty. The current paper describes the mapping methodology and summarizes our results.

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Hervás, Javier. "Landslide Inventory." In Encyclopedia of Natural Hazards, 610–11. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-1-4020-4399-4_214.

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Mikoš, Matjaž. "Landslide Research and Technology in Patent Documents." In Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022, 29–48. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18471-0_3.

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AbstractScience, Technology, and Innovation play a crucial role in the Sendai Framework for Disaster Risk Reduction 2015–2030 (SF DRR). The International Consortium on Landslides (ICL) initiated the Sendai Landslide Partnerships 2015–2025 as a voluntary commitment to SF DRR. In 2020, the ICL launched the Kyoto 2020 Commitment for Global Promotion of Understanding and Reducing Landslide Disaster Risk (KLC 2020) as a follow-up of the Sendai Landslide Partnerships 2015–2025. Closely related to the above-mentioned Innovation are patents as a form of intellectual property rights and are often used as an innovation assessment parameter. This article reports on a study conducted to look at the patent documents that are available in open-access databases in order to evaluate how well they relate to the field of landslide research and technology. Landslide-related patent documents were extracted using different search terms in the patent document titles, abstracts, claims and/or their general text from the Google Patents, using the Espacenet tools from the European Patent Office, and the Derwent Patent Index inside the Web of Science offered by Clarivate Analytics, respectively. The extracted patent documents were analyzed with regard to the applicant respectively inventor affiliation (academic, non-academic, country of affiliation) and to the technical field of a patent using well-known patent classifications. The most active countries claiming landslide-related patents were recognized. Furthermore, review and research articles in SpringerLink and SCOPUS databases were searched to study how often scientific articles are citing landslide-related patents. The results of the study can be summarized as follow: (i) in the Google Patents database there are 15,000 + landslide-related patent documents, and in the Espacenet and the Derwent Innovation index database 5000+, respectively. In the patents titles, abstracts, and claims, processes are more often used to describe the patent than the technology; (ii) the number of technological (non-science) based patents is higher than that of academic (science-based) patents, with some specific field of applications, where the situation is the opposite; (iii) with regard to the different areas of technology to which landslide-related patent documents pertain, the categories “G-Physics” and “E-Fixed constructions” are clearly prevailing: “G” for debris flows and landslides, and “E” for fallings rocks and mudflows; (iv) the majority of landslide-related patents are filled and/or granted in China, followed by Japan and South Korea, USA and EU member countries—five major emerging economies (called BRICS) are outperforming developed countries, with a very prevailing Chinese contribution; (v) only a fraction of the order of a few one-in-thousands of landslide-related patents documents are cited in journal review and research articles.

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Mrozek, Teresa, Marcin Kułak, Dariusz Grabowski, and Antoni Wójcik. "Landslide Counteracting System (SOPO): Inventory Database of Landslides in Poland." In Landslide Science for a Safer Geoenvironment, 815–20. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05050-8_126.

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Ngadisih, Guruh Samodra, Netra Prakash Bhandary, and Ryuichi Yatabe. "Landslide Inventory: Challenge for Landslide Hazard Assessment in Indonesia." In GIS Landslide, 135–59. Tokyo: Springer Japan, 2017. http://dx.doi.org/10.1007/978-4-431-54391-6_8.

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Jaupaj, Olgert, Mentor Lamaj, Hasan Kulici, Mimoza Jusufati, Edlira Plaku, and Ilmi Gjeta. "Landslide Inventory Map of Albania." In Advancing Culture of Living with Landslides, 39–44. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53498-5_5.

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Strom, Alexander. "Central Asia Rockslides Inventory: Compilation, Analysis and Training—Progress of the IPL WCoE." In Progress in Landslide Research and Technology, Volume 1 Issue 1, 2022, 285–94. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16898-7_21.

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AbstractJSC “Hydroproject Institute” together with Institute of Seismology of National Academy of Sciences of Kyrgyz Republic were awarded a World Centre of Excellence on Landslide Risk Reduction (WCoE) since the 1st World Landslide Forum in 2008. This award was confirmed during the 2nd, 3rd, 4th and 5th World Landslide Forums. The core activity of this WCoE is the Kokomeren Summer School on Rockslides and Related Phenomena—a two-week long annual field training course aimed to acquaint students and young landslide researchers with unique and very didactic examples of large-scale rockslides, rock avalanches and manifestations of active tectonics abundant in the Kokomeren River basin in Central Tien Shan. Further development of these activities evolved in compilation of the complete rockslide database of the entire Central Asia Region embracing Pamir, Tien Shan and Dzungaria that belong to six states—Afghanistan, China, Kazakhstan, Kyrgyzstan, Tajikistan, and Uzbekistan.

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Тези доповідей конференцій з теми "Landslides inventary"

Van Hove, Joel, Pete Barlow, Max Duguay, and Hamid Karimian. "Vulnerability of Pipelines Installed by Horizontal Directional Drilling to Landslides and a Proposed Framework for Developing Preliminary No Drill Zones for Landslide Avoidance." In 2022 14th International Pipeline Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/ipc2022-87032.

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Abstract Horizontal directional drilling (HDD) is a method of trenchless pipeline installation which has been widely used in the Western Canadian Sedimentary Basin (WCSB) during the past 40 years to cross challenging terrain, including watercourses and slopes. In the case study presented, 7,952 pipeline slope crossings are considered, of which an estimated 14% are partially or fully crossed by HDD. Often the primary objective of the HDD installation at the time of construction was to cross a watercourse and adequate consideration was not always given to the possible presence of landslide terrain adjacent to the watercourse. Minimizing HDD cost often requires shallower and shorter installations, which combined with the practice of not always identifying existing landslide features resulted in an estimated 16% of HDD landslide crossings spatially intersecting landslides. Due to the increased stiffness and overburden stress of soil or bedrock with depth as well as other factors, pipeline vulnerability and hence probability of failure is significantly increased relative to shallower conventionally trenched pipelines. Within the case study inventory, the combination of historical HDD installations that did not effectively avoid landslides and the increased vulnerability of pipelines impacted by landslides at depth accounted for approximately 35% of landslide related pipeline failures within a recent 10-year period, a failure rate approximately 15 times that of conventionally trenched pipelines when adjusted for frequency of landslide intersection. Many pipeline operators have recognized the disproportionate risk landslides pose to ineffective HDD installations and are prioritizing assessment and management accordingly. This paper proposes a screening framework to provide guidelines for evaluating the effectiveness of HDD installations avoiding landslides for both existing and planned installations.

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Wills, Chris, Nate Roth, Timothy P. McCrink, and William R. Short. "THE CALIFORNIA LANDSLIDE INVENTORY DATABASE." In 112th Annual GSA Cordilleran Section Meeting. Geological Society of America, 2016. http://dx.doi.org/10.1130/abs/2016cd-274476.

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Jennings, Carrie E., Karen B. Gran, Karen B. Gran, Stephen B. DeLong, Stephen B. DeLong, Julie K. Bartley, Julie K. Bartley, et al. "A LANDSLIDE INVENTORY FOR MINNESOTA." In 54th Annual GSA North-Central Section Meeting - 2020. Geological Society of America, 2020. http://dx.doi.org/10.1130/abs/2020nc-348173.

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Mickelson, Katherine A., and Stephen L. Slaughter. "WASHINGTON STATE’S NEW LANDSLIDE INVENTORY MAPPING PROTOCOL." In GSA Annual Meeting in Seattle, Washington, USA - 2017. Geological Society of America, 2017. http://dx.doi.org/10.1130/abs/2017am-300975.

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Obryk, Maciej, and Benjamin Mirus. "ASSESSING LANDSLIDE INVENTORY COMPLETENESS UTILIZING BENFORD’S LAW." In GSA Connects 2021 in Portland, Oregon. Geological Society of America, 2021. http://dx.doi.org/10.1130/abs/2021am-365039.

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Ju, Lu-Yu, Te Xiao, and Limin Zhang. "Automatic Landslide Inventory Generation Using Deep Learning." In International Symposium for Geotechnical Safety & Risk. Singapore: Research Publishing Services, 2022. http://dx.doi.org/10.3850/978-981-18-5182-7_00-11-015.xml.

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Richard, Emilie M., Derek T. Dahly, Rayann W. Rehwinkel, Karen B. Gran, Andy J. Breckenridge, Stephen B. DeLong, Whitney M. DeLong, Zachary T. Engle, Carrie E. Jennings, and Andrew D. Wickert. "LANDSLIDES IN NORTHEAST MINNESOTA: INVENTORY MAPPING AND SUSCEPTIBILITY ASSESSMENT." In 54th Annual GSA North-Central Section Meeting - 2020. Geological Society of America, 2020. http://dx.doi.org/10.1130/abs/2020nc-348219.

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Richard, Emilie M., Derek T. Dahly, Karen B. Gran, Andy J. Breckenridge, Stephen B. DeLong, Whitney M. DeLong, Zachary Engle, Carrie Jennings, and Andrew D. Wickert. "LANDSLIDES IN NORTHEAST MINNESOTA: INVENTORY MAPPING AND SUSCEPTIBILITY ASSESSMENT." In GSA Annual Meeting in Phoenix, Arizona, USA - 2019. Geological Society of America, 2019. http://dx.doi.org/10.1130/abs/2019am-339758.

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DeLong, Stephen, Morena Hammer, Carrie Jennings, and Karen Gran. "LANDSLIDE SUSCEPTIBILITY IN MINNESOTA: INSIGHT FROM LANDSLIDE INVENTORY MAPPING AND LIDAR CHANGE DETECTION." In GSA Connects 2022 meeting in Denver, Colorado. Geological Society of America, 2022. http://dx.doi.org/10.1130/abs/2022am-383881.

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Yanchuck, Michael, Joshua Foust, and Bobak Karimi. "DEVELOPING A LANDSLIDE INVENTORY FOR PENNSYLVANIA: NORTHEASTERN PA." In 54th Annual GSA Northeastern Section Meeting - 2019. Geological Society of America, 2019. http://dx.doi.org/10.1130/abs/2019ne-328197.

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Звіти організацій з теми "Landslides inventary"

Bornaetxea, T., A. Blais-Stevens, and B. Miller. Landslide inventory map of the Valemount area, British Columbia. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330911.

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Landslides are a recurring geomorphological process in high mountainous areas like Valemount (Canadian Rocky Mountains, British Columbia). The compilation of detailed information about the spatial distribution and characteristics of past landslides is essential for assessing future potential hazards. To provide baseline geoscience information to stakeholders and decision-makers, we carried out a landslide inventory that covers roughly 1200 km2. Using visual interpretation of aerial orthophotos, a digital elevation model of 5x5 meter resolution and satellite imagery, we compiled up to 1286 landslides and classified each into 12 categories and three confidence levels. The current paper describes the mapping methodology and summarizes our results.

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Garriss, Rebecca. Modeling Surface Roughness as an Indicator of Age and Landslide Susceptibility, and the Spatial Inventory of Prehistoric Landslides: Green River Valley, Washington. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.7051.

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Aylsworth, J. M., and J. A. Traynor. Landslide inventory Mackenzie Corridor (southern part), Northwest Territories. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2001. http://dx.doi.org/10.4095/212712.

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Duk-Rodkin, A., and T. Robertson. Landslide inventory, Mackenzie corridor (central part), Northwest Territories. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2001. http://dx.doi.org/10.4095/212736.

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Blais-Stevens, A., R. Couture, and A. Page. Landslide inventory along the Alaska Highway Corridor, Yukon. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2010. http://dx.doi.org/10.4095/287313.

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Brooks, G. R. Sensitive clay landslide inventory map and database for Ottawa, Ontario. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2019. http://dx.doi.org/10.4095/315024.

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Duk-Rodkin, A., and J. L. Hood. Landslide inventory for the Fort Norman map area (96C), Northwest Territories. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2004. http://dx.doi.org/10.4095/215655.

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Huntley, D., A. Duk-Rodkin, and C. Sidwell. Landslide inventory of the south-central Mackenzie River valley region, Northwest Territories. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2006. http://dx.doi.org/10.4095/222393.

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Aylsworth, J. M., J. A. Traynor, and G. Krusynski. Landslide inventory, Mackenzie Delta and adjacent Beaufort Sea coast, Northwest Territories-Yukon. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2001. http://dx.doi.org/10.4095/212713.

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Schwarber, J. A., M. M. Darrow, R. P. Daanen, D. S. P. Stevens, and P. J. Presler. Preliminary landslide inventory of parts of the Fairbanks North Star Borough, Alaska. Alaska Division of Geological & Geophysical Surveys, 2022. http://dx.doi.org/10.14509/30841.

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