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Добірка наукової літератури з теми "Landslides monitoring"

Автор: Grafiati
Опубліковано: 10 березня 2023

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Статті в журналах з теми "Landslides monitoring"

1

Acar, M., M. T. Ozludemir, S. Erol, R. N. Celik, and T. Ayan. "Kinematic landslide monitoring with Kalman filtering." Natural Hazards and Earth System Sciences 8, no. 2 (March 13, 2008): 213–21. http://dx.doi.org/10.5194/nhess-8-213-2008.

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Анотація:
Abstract. Landslides are serious geologic disasters that threat human life and property in every country. In addition, landslides are one of the most important natural phenomena, which directly or indirectly affect countries' economy. Turkey is also the country that is under the threat of landslides. Landslides frequently occur in all of the Black Sea region as well as in many parts of Marmara, East Anatolia, and Mediterranean regions. Since these landslides resulted in destruction, they are ranked as the second important natural phenomenon that comes after earthquake in Turkey. In recent years several landslides happened after heavy rains and the resulting floods. This makes the landslide monitoring and mitigation techniques an important study subject for the related professional disciplines in Turkey. The investigations on surface deformations are conducted to define the boundaries of the landslide, size, level of activity and direction(s) of the movement, and to determine individual moving blocks of the main slide. This study focuses on the use of a kinematic deformation analysis based on Kalman Filtering at a landslide area near Istanbul. Kinematic deformation analysis has been applied in a landslide area, which is located to the north of Istanbul city. Positional data were collected using GPS technique. As part of the study, conventional static deformation analysis methodology has also been applied on the same data. The results and comparisons are discussed in this paper.
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2

Reyes-Carmona, Cristina, Anna Barra, Jorge Galve, Oriol Monserrat, José Pérez-Peña, Rosa Mateos, Davide Notti, et al. "Sentinel-1 DInSAR for Monitoring Active Landslides in Critical Infrastructures: The Case of the Rules Reservoir (Southern Spain)." Remote Sensing 12, no. 5 (March 3, 2020): 809. http://dx.doi.org/10.3390/rs12050809.

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Анотація:
Landslides in reservoir contexts are a well-recognised hazard that may lead to dangerous situations regarding infrastructures and people’s safety. Satellite-based radar interferometry is proving to be a reliable method to monitor the activity of landslides in such contexts. Here, we present a DInSAR (Differential Interferometric Synthetic Aperture Radar) analysis of Sentinel-1 images that exemplifies the usefulness of the technique to recognize and monitor landslides in the Rules Reservoir (Southern Spain). The integration of DInSAR results with a comprehensive geomorphological study allowed us to understand the typology, evolution and triggering factors of three active landslides: Lorenzo-1, Rules Viaduct and El Arrecife. We could distinguish between rotational and translational landslides and, thus, we evaluated the potential hazards related to these typologies, i.e., retrogression (Lorenzo-1 and Rules Viaduct landslides) or catastrophic slope failure (El Arrecife Landslide), respectively. We also observed how changes in the water level of the reservoir influence the landslide’s behaviour. Additionally, we were able to monitor the stability of the Rules Dam as well as detect the deformation of a highway viaduct that crosses a branch of the reservoir. Overall, we consider that other techniques must be applied to continue monitoring the movements, especially in the El Arrecife Landslide, in order to avoid future structural damages and fatalities.
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3

Zhu, Yaru, Haijun Qiu, Zijing Liu, Jiading Wang, Dongdong Yang, Yanqian Pei, Shuyue Ma, Chi Du, Hesheng Sun, and Luyao Wang. "Detecting Long-Term Deformation of a Loess Landslide from the Phase and Amplitude of Satellite SAR Images: A Retrospective Analysis for the Closure of a Tunnel Event." Remote Sensing 13, no. 23 (November 29, 2021): 4841. http://dx.doi.org/10.3390/rs13234841.

Повний текст джерела
Анотація:
Information about the long-term spatiotemporal evolution of landslides can improve the understanding of landslides. However, since landslide deformation characteristics differ it is difficult to monitor the entire movement of a landslide using a single method. The Interferometric Synthetic Aperture Radar (InSAR) and pixel offset tracking (POT) method can complement each other when monitoring deformation at different landslide stages. Therefore, the InSAR and improved POT method were adapted to study the pre- and post-failure surface deformation characteristics of the Gaojiawan landslide to deepen understanding of the long-term spatiotemporal evolution characteristics of landslides. The results show that the deformation displacement gradient of the Gaojiawan landslide exhibited rapid movement that exceeded the measurable limit of InSAR during the first disaster. Moreover, the Gaojiawan landslide has experienced long-term creep, and while studying the post-second landslide’s failure stability, the acceleration trend was identified via time series analysis, which can be used as a precursor signal for landslide disaster warning. Our study aims to provide scientific reference for local governments to help prevent and mitigate geological disasters in this region.
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4

Weiguo, Li, Liu Yali, Chen Yanhong, and Yang Libing. "Shock and Vibration of Rainfall on Rotational Landslide and Analysis of Its Deformation Characteristics." Geofluids 2021 (October 11, 2021): 1–12. http://dx.doi.org/10.1155/2021/4119414.

Повний текст джерела
Анотація:
Earthquake, flood, human activity, and rainfall are some of the trigger factors leading to landslides. Landslide monitoring data analysis indicates the deformation characteristics of landslides and helps to reduce the threat of landslide disasters. There are monitoring methods that enable efficient acquisition of real-time data to facilitate comprehensive research on landslides. However, it is challenging to analyze large amounts of monitoring data with problems like missing data and outlier data during data collection and transfer. These problems also hinder practical analysis and determination concerning the uncertain monitoring data. This work analyzes and processes the deformation characteristics of a rainfall-induced rotational landslide based on exploratory data analysis techniques. First, we found that the moving average denoising method is better than the polynomial fitting method for the repair and fitting of monitoring data. Besides, the exploratory data analysis of the Global Navigation Satellite System (GNSS) monitoring data reveals that the distribution of GNSS monitoring points has a positive correlation with the deformational characteristics of a rotational landslide. Our findings in the subsequent case study indicate that rainfalls are the primary trigger of the Zhutoushan landslide, Jiangsu Province, China. Therefore, this method provides support for the analysis of rotational landslides and more useful landslide monitoring information.
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5

Zou, Yong, and Chao Zheng. "A Scientometric Analysis of Predicting Methods for Identifying the Environmental Risks Caused by Landslides." Applied Sciences 12, no. 9 (April 25, 2022): 4333. http://dx.doi.org/10.3390/app12094333.

Повний текст джерела
Анотація:
The effects of a landslide can represent a very big problem, including the death of people, damage to the land, environmental pollution and the loss of natural resources. Landslides are the most important medium for transferring sediments and polluting waterways by earth and organic materials. An excess of sediments reduces the quality of fish habitat and the potability of water. In order to understand landslides in depth, a thorough study was conducted using a scientometric analysis, as well as a thorough practical examination of landslide analysis and monitoring techniques. This review focused on methods used for landslide analysis, including physical models requiring easily prepared event-based landslide inventory, probabilistic methods which are useful for both shallow and earthquake-based landslides, and landslide monitoring performed by remote sensing techniques, which provide data helpful for prediction, monitoring and mapping. The fundamental principles of each method are described in terms of the method used, and its advantages, and limits. People and infrastructure are at danger from landslides caused by heavy rain, so this report highlights landslide-prone regions and considers the analysis methods for landslides used in these countries, with a view to identifying mitigation measures for coping with landslide risks in hilly areas. Furthermore, future landslide research possibilities, as well as possible modeling methods, are addressed. The report summarizes some landslide prediction and monitoring techniques used in landslide-prone countries which can help inform researchers seeking to protect the public from danger in landslide areas.
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6

Zou, Yong, and Chao Zheng. "A Scientometric Analysis of Predicting Methods for Identifying the Environmental Risks Caused by Landslides." Applied Sciences 12, no. 9 (April 25, 2022): 4333. http://dx.doi.org/10.3390/app12094333.

Повний текст джерела
Анотація:
The effects of a landslide can represent a very big problem, including the death of people, damage to the land, environmental pollution and the loss of natural resources. Landslides are the most important medium for transferring sediments and polluting waterways by earth and organic materials. An excess of sediments reduces the quality of fish habitat and the potability of water. In order to understand landslides in depth, a thorough study was conducted using a scientometric analysis, as well as a thorough practical examination of landslide analysis and monitoring techniques. This review focused on methods used for landslide analysis, including physical models requiring easily prepared event-based landslide inventory, probabilistic methods which are useful for both shallow and earthquake-based landslides, and landslide monitoring performed by remote sensing techniques, which provide data helpful for prediction, monitoring and mapping. The fundamental principles of each method are described in terms of the method used, and its advantages, and limits. People and infrastructure are at danger from landslides caused by heavy rain, so this report highlights landslide-prone regions and considers the analysis methods for landslides used in these countries, with a view to identifying mitigation measures for coping with landslide risks in hilly areas. Furthermore, future landslide research possibilities, as well as possible modeling methods, are addressed. The report summarizes some landslide prediction and monitoring techniques used in landslide-prone countries which can help inform researchers seeking to protect the public from danger in landslide areas.
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7

Zou, Yong, and Chao Zheng. "A Scientometric Analysis of Predicting Methods for Identifying the Environmental Risks Caused by Landslides." Applied Sciences 12, no. 9 (April 25, 2022): 4333. http://dx.doi.org/10.3390/app12094333.

Повний текст джерела
Анотація:
The effects of a landslide can represent a very big problem, including the death of people, damage to the land, environmental pollution and the loss of natural resources. Landslides are the most important medium for transferring sediments and polluting waterways by earth and organic materials. An excess of sediments reduces the quality of fish habitat and the potability of water. In order to understand landslides in depth, a thorough study was conducted using a scientometric analysis, as well as a thorough practical examination of landslide analysis and monitoring techniques. This review focused on methods used for landslide analysis, including physical models requiring easily prepared event-based landslide inventory, probabilistic methods which are useful for both shallow and earthquake-based landslides, and landslide monitoring performed by remote sensing techniques, which provide data helpful for prediction, monitoring and mapping. The fundamental principles of each method are described in terms of the method used, and its advantages, and limits. People and infrastructure are at danger from landslides caused by heavy rain, so this report highlights landslide-prone regions and considers the analysis methods for landslides used in these countries, with a view to identifying mitigation measures for coping with landslide risks in hilly areas. Furthermore, future landslide research possibilities, as well as possible modeling methods, are addressed. The report summarizes some landslide prediction and monitoring techniques used in landslide-prone countries which can help inform researchers seeking to protect the public from danger in landslide areas.
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8

Yan, Shanshan, Liang Xue, Tianyang Liang, Yankai Hou, Hanlu Liu, and Hongxian Shan. "Research on Submarine landslide monitoring and early warning system." E3S Web of Conferences 257 (2021): 03016. http://dx.doi.org/10.1051/e3sconf/202125703016.

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Анотація:
Monitoring and early warning of submarine landslides could provide instant predictions for landslides, which is to avoid the destructive damage of submarine facilities such as pipelines and optical cable, etc effectively. However, researches on submarine landslide focus on numerical simulation and laboratory test, lacking support of in-situ observation data. This paper established the submarine landslide monitoring and early warning system by combining real-time monitoring data with web network platform and database technique. Based on the computational analysis of key monitoring parameters in the process of seabed deformation and sliding, the system has realized the accurate prediction and early warning of submarine landslides. The system has been applied to the submarine landslide monitoring in Zhoushan sea area, Zhejiang province, China, which has ensured the safety of offshore platforms and submarine projects in this area. The establishment of this system provides a new idea and method for submarine landslide warning.
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9

Setiawan, Tedy, Fatkhan, and Ramadhani Yasyfi Cysela. "Landslide Monitoring using Inclinometer with Micro Electromechanical System (MEMS)." IOP Conference Series: Earth and Environmental Science 873, no. 1 (October 1, 2021): 012024. http://dx.doi.org/10.1088/1755-1315/873/1/012024.

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Анотація:
Abstract Being located on the Pacific Ring of Fire and a tectonically active country, Indonesia has to cope with the constant risk of volcanic eruptions, earthquakes, floods and landslides. Landslides and other mass movements are serious geo-environmental hazards in Indonesia. Following report from the Indonesia National Disaster Management Authority (BNPB), landslides are among high disaster death toll throughout the archipelago. It claimed 248 lives last year alone. The number of landslides in Indonesia increase steadily to 376 in 2014 from 291 in 2012. Hence, landslide monitoring system is required to determine style of landslide movement, for risk and even emergency risk management assessments and to assist with the design of mitigation works. A landslide instrumentation program including an inclinometer is designed for landslide monitoring. The inclinometer, or tilt sensor, is an instrument used for measuring slope, tilt, or inclination. In this paper we use Micro Electromechanical System (MEMS) as a sensor to measure changes in an angle. Then information is transferred to a central server soon after real-time accelerations are monitored. A data logger also used as a data recording. With low-cost MEMS accelerometers, the results show this instrument is able to provide reliable ground-motion data in network-scale deployments.
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10

Sladic, Dubravka, Milan Vrtunski, Ivan Alargic, Aleksandra Ristic, and Dusan Petrovacki. "Development of geoportal for landslide monitoring." Glasnik Srpskog geografskog drustva 92, no. 4 (2012): 63–78. http://dx.doi.org/10.2298/gsgd1204063s.

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Анотація:
The paper presents the implementation of geoportal for landslide monitoring which which includes two subsystems: a system for acquisition, storage and distribution of data on landslides and real time alert system. System for acquisition, storage and distribution of data on landslides include raster and vector spatial data on landslides affected areas, as well as metadata. Alert system in real time is associated with a sensor for detecting displacement, which performs constant measurements and signals in case of exceeding the reference value. The system was developed in accordance with the standards in the field of GIS: ISO 19100 series of standards and OpenGIS Consortium and is based on service-oriented architecture and principles of spatial data infrastructures.
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Більше джерел

Дисертації з теми "Landslides monitoring"

1

Bejo, Siti. "Elastic image registration for landslides monitoring." Thesis, University of Surrey, 2006. http://epubs.surrey.ac.uk/804429/.

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2

Muratoglu, Bukay. "Monitoring Bulbulderesi And Bakacak Landslides With Photogrammetric Techniques." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/3/12610586/index.pdf.

Повний текст джерела
Анотація:
Every year, thousands of people all over the world are loosing their lives in natural disasters. As a second most widespread hazard, landslides are still a disaster problem for Turkey. The long-term monitoring studies of instability phenomena have a paramount importance for Turkey to reduce its both direct and indirect effects. The objective of this thesis is to monitor the activity of the Bü
lbü
lderesi and Bakacak landslides in Asarsuyu Catchment for 42 years period by the digital aerial photogrammetric techniques while evaluating the possible use of archive aerial photography in such analysis. To achieve the purpose of the study an orthophoto map was generated by aerial photographs belonging to 1994 year. The orthophoto map was utilized as a base map for aerial photo interpretation of different sets of aerial photographs corresponding to 1952, 1972, 1984 and 1994 years. As a result of this, 4 landslide activity maps are obtained. In addition, the characteristics of these landslides are analyzed by utilizing digital elevation model (DEM) created from stereo photographs of 1994. As a result of the study, no considerable variation is detected in the position of main boundaries of Bü
lbü
lderesi and Bakacak landslides except some minor differences. However, within the landslides many topographical changes were observed between 1952 and 1994 period. Based on the profiles from toe to crest of the Bü
lbü
lderesi landslide, the approximate length was measured as 4773m whereas the approximate width was about 2614m. The areal extent was calculated as ~12km2 having an approximate slope gradient ranging between 10-15°
with local variations. On the other hand, the approximate length of Bakacak landslide was 4420m and the approximate width was 832m from toe to crest with an area of ~4km2 and with an approximate slope angle 9-14°
.
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3

Green, Sam. "High resolution monitoring of the Mam Tor Landslip, North Derbyshire UK." Thesis, University of Manchester, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.491868.

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4

Pecoraro, Gaetano. "Monitoring strategies and warning models for weather-induced landslides." Doctoral thesis, Universita degli studi di Salerno, 2019. http://elea.unisa.it:8080/xmlui/handle/10556/4284.

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Анотація:
2017 - 2018
Weather induced landslides cause a large number of casualties as well as severe economic losses worldwide every year. Such a diffuse risk cannot be mitigated only by means of structural works, typically characterized by significant economic and environment al impacts. Therefore, landslide early warning systems (LEWS) are being increasingly applied as non structural mitigation measures aiming at reducing the loss of life probability and other adverse consequences from landslide events by prompting people to a ct appropriately and in sufficient time to reduce the possibility of harm or loss. The systems can be distinguished, as a function of the scale of design and operation, in two different categories. Territorial systems (Te LEWS), deal with multiple landslid es over wide areas at regional scale, i.e. typically a basin, a municipality or a region; local systems (Lo LEWS) address single landslides at slope scale. In a preliminary phase of this study, a detailed review of Lo LEWS operational worldwide is provide d. The information has been retrieved from peer reviewed articles published in scientific journals and proceedings of technical conferences, books, reports, and institutional web pages. The main characteristics of these systems have been summarized and des cribed according to a scheme based on a clear distinction between three modules: landslide model, warning model and warning system. The monitoring strategies implemented therein have been presented and discussed, focusing on the monitored parameters and th e monitoring instruments for each type of landslide. Subsequently, warning models developed within Te LEWS for weather induced landslides have been analyzed , pointing out that: their outputs are strongly dependent from the accurateness and reliability of t he information on landslide occurrences; and only meteorological variables are considered in most of occurrences; and only meteorological variables are considered in most of the cases, thus leading to an unavoidable uncertainty in the empirically the cases, thus leading to an unavoidable uncertainty in the empirically defined thresholds. defined thresholds. To overcome these issues, original procedures for To overcome these issues, original procedures for defining wardefining warning models are herein proposed and tested on case studies ning models are herein proposed and tested on case studies in Campania and Emiliain Campania and Emilia--Romagna regions (Italy) and in Norway. In Italy, Romagna regions (Italy) and in Norway. In Italy, a probabilistic approach has been developed to determine landslide a probabilistic approach has been developed to determine landslide conditional probabilities related to rainfall of specific conditional probabilities related to rainfall of specific intensity and intensity and duration. The adopted Bayesian methodology allows to consider the duration. The adopted Bayesian methodology allows to consider the uncertainty of the data and to provide a quantitative assessment of the uncertainty of the data and to provide a quantitative assessment of the reliability of the results. Data on landslide occurrences have been derived reliability of the results. Data on landslide occurrences have been derived from a new landslide inventofrom a new landslide inventory, named “FraneItalia”, wherein data are ry, named “FraneItalia”, wherein data are retrieved from online journalistic news; the correlations between retrieved from online journalistic news; the correlations between landslides and rainfall have been assessed by analylandslides and rainfall have been assessed by analyzzing satelliteing satellite--rainfall rainfall records within weather alert zones. On the other hand, the methodology records within weather alert zones. On the other hand, the methodology prproposed for Norway aims at integrating the hydrooposed for Norway aims at integrating the hydro--meteorological meteorological variables employed within the regional model used by the national early variables employed within the regional model used by the national early warning system (i.e. combinations of relative water supply and relative soil warning system (i.e. combinations of relative water supply and relative soil water saturation degree) with monitoring datwater saturation degree) with monitoring data collected at local scale, a collected at local scale, specifically pore water pressure observations acquired by the Norwegian specifically pore water pressure observations acquired by the Norwegian Geotechnical Institute for a variety of projects. The analyses are carried Geotechnical Institute for a variety of projects. The analyses are carried out on a number of hydrological basins (test areas) defined at national out on a number of hydrological basins (test areas) defined at national scale andscale and selected considering the occurrence of landslides in loose soils selected considering the occurrence of landslides in loose soils from 2013 to 2017 and the availability of a significant number of pore from 2013 to 2017 and the availability of a significant number of pore water pressure measurements. For each basin, the alerts issued by the water pressure measurements. For each basin, the alerts issued by the regional model are assessed by means of a 2regional model are assessed by means of a 2--step step analysis employing analysis employing indicators derived from simple moving averages of the pore water indicators derived from simple moving averages of the pore water pressure measurements. pressure measurements. The warning models developed herein were successfully applied to The warning models developed herein were successfully applied to selected case studies. Therefore, the proposed methodologies can be selected case studies. Therefore, the proposed methodologies can be considered valuconsidered valuable frameworks considering aspects that are crucial for able frameworks considering aspects that are crucial for improving the efficiency of the models, such as: the potential of nonimproving the efficiency of the models, such as: the potential of non--conventional landslide inventories and remote sensing monitoring conventional landslide inventories and remote sensing monitoring instruments to complement the traditional sources of data, the uinstruments to complement the traditional sources of data, the use of se of probabilistic techniques for defining more objective rainfall thresholds, probabilistic techniques for defining more objective rainfall thresholds, and the additional contribution of the information derived from the local and the additional contribution of the information derived from the local observations of pore water pressures.observations of pore water pressures. [edited by Author]
XXXI ciclo
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5

Huang, Junyi. "Investigation on landslide susceptibility using remote sensing and GIS methods." HKBU Institutional Repository, 2014. https://repository.hkbu.edu.hk/etd_oa/33.

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Анотація:
Landslides are one of the most destructive disasters that cause damage to both property and life every year. Various methodologies have been reported for landslide susceptibility mapping. Statistical methods are widely used to fit the mathematical relationship between observed landslides and the factors considered to influence the slope failure, and have shown remarkable accuracy. Among these models, frequency ratio and logistic regression models are the most popular for its simplicity and high accuracy. However, virtually all previous studies randomly extracted and reserved a portion of historical landslide records to perform the model evaluation. The purpose of this study are: 1) To produce a landslide susceptibility map for Lantau Island by GIS and remote sensing methods as well as statistical modeling techniques 2) To add extra value to the literature of evaluating their “prediction rate” (rather than “success rate”) for landslide susceptibility mapping in a temporal context. The mountainous terrain, heavy and prolonged rainfall, as well as dense development near steep hillsides make Hong Kong as one of the most vulnerable metropolitans to the risk of landslides. As there is an increasingly high demand for land resource to support the growth of economic and population, regional specific landslide susceptibility assessment in Hong Kong is necessary for hazard management and effective land use planning. Firstly, the spatial relationship among landslide occurrence and nine causative factors (elevation, slope aspect, slope gradient, plan curvature, profile curvature, NDVI, distance to river, SPI and lithology) were explored. The distribution of landslides on Lantau Island is largely governed by a combination of geo-environmental conditions, such as elevation of 200m-300m, slope gradient of 25°-35°, slope aspect of west or northwest, high degree of positive or negative plan curvature and profile curvature, sparse vegetation in terms of NDVI in 0.3-0.5 (shrub/grassland), proximity (0.6-1.2km) to fault line, presence of volcanic bedrocks (especially rhyolite lava and tuff) and high stream power index. Second, landslide susceptibility maps were generated by frequency ratio and logistic regression model, respectively. Validations of the mapping results were performed by calculating relative operating characteristics (ROC). The models, trained by 1,864 (70%) landslides records in the Enhanced Natural Terrain Landslide Inventory (ENTLI) from 2000 to 2008, were validated by subsequent 799 (30%) landslide occurred from 2008 to 2009. The validation result shows that logistic regression model (88.70%) possesses a better prediction power than frequency ratio model (78.00%) for the study area. The findings suggested that logistic regression analysis is more reliable for landslide susceptibility mapping. The resultant maps are expected to provide a scientific assessment of the risk areas with respect to landslides on Lantau Island, and to serve as a basis for decisions or justification of the Lantau development planning. Keywords: landslide susceptibility; frequency ratio; logistic regression; temporal verification; GIS; Hong Kong
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6

Li, Aiguo, and 李愛國. "Field monitoring of a saprolite cut slope." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B29901765.

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7

Yfantis, Georgios. "Kinematics of soft soil landslides based on the analysis of microseismic monitoring data." Thesis, University of Strathclyde, 2015. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=25953.

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Анотація:
Landslide failures are a worldwide problem claiming human lives and causing catastrophic damages to infrastructure, with their impact able to reach that of war conflicts. For these reasons this thesis is going to investigate on the use of microseismic monitoring to study the kinematic behaviour of landslides and help towards the design of an optimised early or real time warning system. All findings are based in field experiments, using 1D and 3D short period seismometers, designed to understand the capabilities and limitations of microseismic monitoring in order to enhance the first and minimize the last. The first goal of this thesis is to understand accuracy of microseismic monitoring in locating weak seismic events. The effect of the seismic velocity model is studied against common seismological assumptions, while different aperture sizes of microseismic arrays are put into test for achieving optimum location results. Next, in order to allow the study of the expected landslide seismicity during a future landslide failure, a novel methodology, an up-scaled shear box, is designed to induce landslide like seismic signals. The proposed methodology can recreate soil slip events allowing control over different geotechnical conditions, such as stress levels, thus reproducing different landslide failure scenarios. The up-scaled shear box methodology is then used to test a novel engineered seismic source: glass shard piles placed inside the landslide's mass, triggered from the landslide's displacements. The material characteristics of glass shards don't change in time, e.g. due to saturation, and have a stable seismic signature during displacement. For these reasons glass shard piles can act as the common seismic source, overcoming the time consuming process of identifying landslide complex failure mechanisms. Finally, failure is induced to two landslide vertical faces under controlled conditions. Both landslides have identical characteristics, e.g. size and geology, with the only difference that in one of them a glass shard pile was incorporated. Visual observations, displacement and loading observations of the landslide faces, timed with a GPS clock, allowing for their detection on the seismic recordings and the characterisation of failure events. The collected data are found to correlate well with the experiments conducted with the up-scaled shear box methodology, allowing for their validation.
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8

Smith, Alister. "Quantification of slope deformation behaviour using acoustic emission monitoring." Thesis, Loughborough University, 2015. https://dspace.lboro.ac.uk/2134/18593.

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Early warning of slope instability will enable evacuation of vulnerable people and timely repair and maintenance of critical infrastructure. However, currently available warning systems are too expensive for wide-scale use or have technical limitations. The acoustic emission (AE) monitoring approach using active waveguides (i.e. a steel tube with granular backfill surround installed in a borehole through a slope), in conjunction with the Slope ALARMS AE measurement system, has the potential to be an affordable early warning system for slope instability. However, the challenge has been to develop strategies to interpret and quantify deformation behaviour from measured AE. The development of an approach to quantify slope deformation behaviour from measured AE will enable the AE monitoring system to provide early warning of slope instability through detecting, quantifying and communicating accelerations in slope movement. Field monitoring and full-scale physical modelling have been conducted to characterise the AE response from the system to both reactivated slope movements and first-time slope failure. Definitive field evidence has been obtained showing AE monitoring can measure slope movements and generated AE rates are proportional to slope displacement rates, which was confirmed through comparisons with both conventional inclinometer and continuous ShapeAccelArray deformation measurements. A field monitoring case study demonstrated that the AE approach can detect very slow slope movements of 0.075 mm/day. In addition, the concept of retrofitting inclinometer casings with active waveguides to convert the manually read instrument to a real-time monitoring system has been demonstrated using a field trial. Dynamic strain-controlled shear tests on active waveguide physical models demonstrated that AE monitoring can be used to quantify slope displacement rates, continuously and in real-time, with accuracy to within an order of magnitude. Large-scale first-time slope failure experiments allowed the AE response to slope failure to be characterised. AE was detected after shear deformations of less than a millimetre in previously un-sheared material, and AE rates increased proportionally with displacement rates as failure occurred. The AE rate-displacement rate relationship can be approximated as linear up to 100 mm/hour and shear surface deformations less than 10-20 mm. At greater velocities and larger deformations the gradient of the relationship progressively increases and is best represented using a polynomial. This is because complex pressure distributions develop along the active waveguide analogous to a laterally loaded pile, and the confining pressures increase. Variables that influence the AE rate-displacement rate relationship have been quantified using physical model experiments and empirical relationships. A framework has been developed to allow AE rate-displacement rate calibration relationships to be determined for any AE system installation. This provides a universal method that can be used by practitioners when installing AE systems, to calibrate them to deliver alarm statuses/warning levels that are related to slope displacement rates. Use of this framework has been demonstrated using a case study example, and decision making protocols have been suggested that use trends in alarms with time to trigger decisions, which could be to send an engineer to inspect the slope, manage traffic, or evacuate people.
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Hayati, Noorlaila [Verfasser], Wolfgang [Akademischer Betreuer] Niemeier, and Uwe [Akademischer Betreuer] Sörgel. "Slope Movement Monitoring of The Ciloto Landslides Area Using InSAR Techniques / Noorlaila Hayati ; Wolfgang Niemeier, Uwe Sörgel." Braunschweig : Technische Universität Braunschweig, 2020. http://d-nb.info/1205461973/34.

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Hayati, Noorlaila Verfasser], Wolfgang [Akademischer Betreuer] [Niemeier, and Uwe [Akademischer Betreuer] Sörgel. "Slope Movement Monitoring of The Ciloto Landslides Area Using InSAR Techniques / Noorlaila Hayati ; Wolfgang Niemeier, Uwe Sörgel." Braunschweig : Technische Universität Braunschweig, 2020. http://d-nb.info/1205461973/34.

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Книги з теми "Landslides monitoring"

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Thambidurai, P., and T. N. Singh, eds. Landslides: Detection, Prediction and Monitoring. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-23859-8.

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K, Keefer David, Ho Carlton L, American Society of Civil Engineers. Geotechnical Engineering Division., and ASCE National Convention (1995 : San Diego, Calif.), eds. Landslides under static and dynamic conditions: Analysis, monitoring, and mitigation : proceeding of sessions. New York: American Society of Civil Engineers, 1995.

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Zabuski, Lesław. Projektowanie i wykonanie automatycznych systemów kontroli zboczy, na przykładzie zbocza osuwiskowego w Tresnej. Gdańsk: Instytut Budownictwa Wodnego PAN, 1992.

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Cruden, D. M. Monitoring the south peak of Turtle Mountain, 1980 to 1985. Edmonton: The Division, 1986.

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5

Scaioni, Marco, ed. Modern Technologies for Landslide Monitoring and Prediction. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45931-7.

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6

Arkwright, Jane Christine. Monitoring the landslide at Mam Tor near Castleton, Derbyshire. Manchester: University of Manchester, 1996.

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7

Gazari͡an, G. O. Geofizicheskie metody pri organizat͡sii i vedenii monitoringa ėkzogennykh geologicheskikh prot͡sessov. Erevan: Izd-vo AN Armi͡anskoĭ SSR, 1990.

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8

Ray, Ram, and Maurizio Lazzari, eds. Landslides - Investigation and Monitoring. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.78130.

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Ray, Ram. Landslides: Investigation and Monitoring. Intechopen, 2020.

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10

Krogh, Dennis S. Landslides: Monitoring, Susceptibility and Management. Nova Science Publishers, Incorporated, 2020.

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Частини книг з теми "Landslides monitoring"

1

Ramesh, Maneesha Vinodini, Hemalatha Thirugnanam, Balmukund Singh, M. Nitin Kumar, and Divya Pullarkatt. "Landslide Early Warning Systems: Requirements and Solutions for Disaster Risk Reduction—India." In Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022, 259–86. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18471-0_21.

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AbstractGlobally the prevalence of landslides has increased, impacting more than 4.8 million people between 1998 and 2017 and reported more than 18,000 casualties [UNDP]. The scenario has worsened dramatically, and it has become imperative to develop early warning systems to save human life. This demands the need for systems that could identify the potential of imminent landslides and disseminate the information related to landslide initiation in real-time. This would provide the opportunity to save lives. However, globally the research on reliable end-to-end systems for early warning of landslides is still in its nascent stage. Therefore, this paper explores in detail the requirements for developing systems for real-time monitoring, detection, and early warning of landslides. An integrated solution for building the real-time landslide monitoring and early warning system to provide community-scale disaster resilience is also proposed. This solution integrates multiple modules such as a heterogeneous sensor system, data storage and management, event detection framework, alert dissemination, and emergency communication system to address issues such as capturing dynamic variability, managing multi-scale voluminous datasets, extracting key triggering information regarding the onset of possible landslide, multilevel alert dissemination, and robust emergency communication among the stakeholders respectively. The paper also presents two case studies of real-time landslide early warning systems deployed in North-eastern Himalayas and Western Ghats of India. These case studies demonstrate the approaches utilized for risk assessment, risk analysis, risk evaluation, risk visualization, risk control, risk communication, and risk governance. The results from the deployed system in the case study areas demonstrate the capability of the IoT system to gather Spatio-temporal triggers for multiple types of landslides, detection and decision of specific scenarios, and the impact of real-time data on mitigating the imminent disaster.
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Huntley, David, Peter Bobrowsky, Roger MacLeod, Drew Rotheram-Clarke, Robert Cocking, Jamel Joseph, Jessica Holmes, et al. "IPL Project 202: Landslide Monitoring Best Practices for Climate-Resilient Railway Transportation Corridors in Southwestern British Columbia, Canada." In Progress in Landslide Research and Technology, Volume 1 Issue 1, 2022, 249–65. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16898-7_18.

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AbstractThe paper outlines landslide mapping and change-detection monitoring protocols based on the successes of ICL-IPL Project 202 in southwestern British Columbia, Canada. In this region, ice sheets, glaciers, permafrost, rivers and oceans, high relief, and biogeoclimatic characteristics contribute to produce distinctive landslide assemblages. Bedrock and drift-covered slopes along the transportation corridors are prone to mass-wasting when favourable conditions exist. In high-relief mountainous areas, rapidly moving landslides include rock and debris avalanches, rock and debris falls, debris flows and torrents, and lahars. In areas with moderate to low relief, rapid to slow mass movements include rockslides and slumps, debris or earth slides and slumps, and earth flows. Slow-moving landslides include rock glaciers, rock and soil creep, solifluction, and lateral spreads in bedrock and surficial deposits. Research in the Thompson River Valley aims to gain a better understanding of how geological conditions, extreme weather events and climate change influence landslide activity along the national railway corridor. Remote sensing datasets, consolidated in a geographic information system, capture the spatial relationships between landslide distribution and specific terrain features, at-risk infrastructure, and the environmental conditions expected to correlate with landslide incidence and magnitude. Reliable real-time monitoring solutions for critical railway infrastructure (e.g., ballast, tracks, retaining walls, tunnels and bridges) able to withstand the harsh environmental conditions of Canada are highlighted. The provision of fundamental geoscience and baseline geospatial monitoring allows stakeholders to develop robust risk tolerance, remediation, and mitigation strategies to maintain the resilience and accessibility of critical transportation infrastructure, while also protecting the natural environment, community stakeholders, and the Canadian economy. We conclude by proposing a best-practice solution involving three levels of investigation to describe the form and function of the wide range of rapid and slow-moving landslides occurring across Canada, which is also applicable elsewhere.
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Irasawa, Michiya, Akira Suemine, and Yuichi Ueno. "Warning/Evacuation and Monitoring Methods for Earthquake-Induced Landslides." In Earthquake-Induced Landslides, 101–7. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32238-9_11.

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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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Sharma, Swati, HarAmrit Singh, Rohan Kumar, and Manoj K. Arora. "Mapping of Annual Ground Displacement Using Remote Sensing Methods for Critical Slopes Along the Bhagirathi River in Uttarakhand, India." In Landslides: Detection, Prediction and Monitoring, 307–20. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-23859-8_15.

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Blahůt, Jan, and Ondřej Racek. "Modern Methods of Rock Mass Characterisation and Rockfall Monitoring: A Review." In Landslides: Detection, Prediction and Monitoring, 1–38. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-23859-8_1.

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Dash, Rajesh Kumar, Manojit Samanta, and Debi Prasanna Kanungo. "Debris Flow Hazard in India: Current Status, Research Trends, and Emerging Challenges." In Landslides: Detection, Prediction and Monitoring, 211–31. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-23859-8_10.

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Prasanna Venkatesh, S., N. Rajeshwara Rao, and S. E. Saranaathan. "Geomechanical and Kinematic Stability Analysis of Unstable Slopes (Near 9th km Stone) on Palani—Kodaikkanal Ghat Section in Tamil Nadu." In Landslides: Detection, Prediction and Monitoring, 127–44. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-23859-8_6.

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Maheshwari, Shreya, Riya Bhowmik, and Manojit Samanta. "Rockfall Hazard: A Comprehensive Review of Current Mitigation Practices." In Landslides: Detection, Prediction and Monitoring, 175–209. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-23859-8_9.

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Yadav, Manish, Sanjit Kumar Pal, Prasoon Kumar Singh, and Neha Gupta. "Landslide Susceptibility Zonation Mapping Using Frequency Ratio, Information Value Model, and Logistic Regression Model: A Case Study of Kohima District in Nagaland, India." In Landslides: Detection, Prediction and Monitoring, 333–63. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-23859-8_17.

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Тези доповідей конференцій з теми "Landslides monitoring"

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Chen, Pengchao, Jianping Liu, Jianbin Hao, Hongyuan Jing, and Jianchun Zhao. "A Fiber Bragg Grating Sensing System and Its Application to Monitoring Landslides and Associated Pipelines." In 2008 7th International Pipeline Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/ipc2008-64231.

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The integrity of oil and gas pipelines is seriously threatened by landslides and other geohazards in tough terrain in western China. Monitoring the landslides with slow, continual movements and the strain build up in pipelines due to landslides is an effective way to maintain the serviceability of pipelines. In this paper, a monitoring system based on Fiber Bragg Grating (FBG) sensors is developed and applied. The system is made up of four related parts: the pipeline strain measurement of the with FBG strain sensors, the soil-pipeline contact pressure detecting with FBG soil pressure cells, the landslide inner deformation monitoring with pipe strain gages and the landslide surface monitoring with a special buried concrete beam with FBG sensors. The system is used to monitor a huge, slow moving landslide and the pipeline affected by it. The monitoring results are analyzed and the pipeline integrity is assessed basing the monitoring results. The FBG system has been proved to be suitable to monitor landslides and pipelines automatically and real-timely.
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Ge, Yongqiang, Jiawang Chen, Chen Cao, Qiaoling Gao, Peihao Zhang, and Jiamin He. "A New Type of Device Used on Submarine Landslides Monitoring." In ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/omae2020-18302.

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Abstract Submarine landslides in gas hydrate areas are a significant geo-hazard that can cause considerable damage to offshore infrastructures, dramatically change the marine environment and seriously threaten human lives and property. Gas and gas hydrate disassociation was considered to be a main factor inducing submarine landslide. However, the processes and mechanism of submarine landslides caused by gas and gas hydrate dissociation are not clearly understood. Therefore, we design a Micro-Electro-Mechanical Systems (MEMS) accelerometer array to study and monitor the deep displacement of submarine landslides. The MEMS accelerometer array consists of several gravity acceleration-sensing units that are connected to an I2C-communication bus. By sensing the three-axis tilt angles, the direction and magnitude of the displacement for a measurement unit can be calculated. In the end, the laboratory model test was designed to verify the operation of the device in landslide monitoring, which demonstrated the capacities of the monitoring system for collecting real-time and in-situ information during the slope failure.
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Theriault, Bailey, Christopher Markley, and Tara Metzger. "A Deep Dive Into the Use of LiDAR Change Detection Analysis for Regional Landslide Monitoring in the Appalachian Basin Region of the US." In 2022 14th International Pipeline Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/ipc2022-86790.

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Abstract This paper will provide an overview of a monitoring approach that has proven critical for the long-term monitoring and assessment of high-density landslide areas along pipelines at a regional or system-wide scale: the use of repeat Light Detection and Ranging (LiDAR) surveys (i.e., LiDAR Change Detection Analysis). The strength of using LiDAR is the ability to “see” through trees and vegetation and produce a bare earth digital elevation model of a given slope. As such, LiDAR is one of the most powerful tools for identifying landslides where tree cover is present, such as in the Appalachian Basin region. Repeated acquisition of LiDAR data over time while encompassing the same area can be used for the identification of new or developing landslides, as well as for monitoring movement within known landslides. LiDAR Change Detection Analysis compares successive LiDAR datasets and shows the apparent changes in elevation between the two datasets. By comparing the ground elevations between two datasets, areas where ground movement has occurred since the previous dataset can be identified. This information can aid in identifying, revising, and prioritizing potential landslide threats over large areas. A case study will be presented from the Appalachian Basin region of the United States, where there exists a high incidence of landslides. The case study will discuss how LiDAR Change Detection Analysis was used each year over a 4-year period along approximately 1,400 miles of pipeline to monitor for landslide movement and formation. The case study will summarize the total number per year and average number per mile of right-of-way per year, of landslides with indications of movement as well as newly identified landslides. In addition, the case study will explore possible correlations between annual regional precipitation and annual landslide movement.
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Simić, Dragana, Bojan Gajić, Rajko Tomić, and Nenad Zelenović. "LANDSLIDES AT,,BOGUTOVO SELO AND UGLJEVIK EAST 1“ OPEN PIT COAL MINES, REGISTERING, DATABASES AND MONITORING." In GEO-EXPO 2022. DRUŠTVO ZA GEOTEHNIKU U BOSNI I HERCEGOVINI, 2022. http://dx.doi.org/10.35123/geo-expo_2022_12.

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This paper focuses on the causes of gravity movements (landslides) at „Bogutovo Selo and Ugljevik East 1” open pit coal mines. The landslides complicate open pit mine operations, but also pose a danger to individual objects, structures and related infrastructure. Those were the reasons which resulted in the need to perform detailed monitoring of landslides, to register changes in active processes, to establish databases and update, improve and recondition the processes themselves. Three landslides have been located within „Bogutovo Selo and Ugljevik East 1” open pit coal mines. The results obtained from hydrogeological and geomechanical surveys, as well as the data obtained from landslide monitoring, enable us to adequately restore objects, structures, related infrastructure and to stabilize the terrain itself at the open pit coal mine.
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Theriault, Bailey, John Hennessy, and Chris Markley. "An Integrated Approach to System-Wide Landslide Monitoring in the Appalachian Basin Region of the U.S." In 2020 13th International Pipeline Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/ipc2020-9270.

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Abstract Landslides have the potential to adversely affect the integrity of pipelines. Identifying, characterizing, evaluating, and if necessary, mitigating and monitoring landslide hazards have become critical steps to successfully and safely building and operating pipelines in the Appalachian Basin region of the United States. Natural geologic, geographic, and climatic conditions in this region combine to create a high incidence of landslides, with landslide formation and movement often exacerbated by anthropogenic activity. Rapid expansion of pipeline construction and operation in the region, along with the ever-decreasing availability of preferred routing options, have resulted in increased landslide-related pipeline incidences, both during and post-construction. As such, there is an increasing need to identify, characterize, and closely monitor landslide hazards throughout the construction and operational lifespan of each pipeline system. This can prove challenging in an area where a pipeline may be subject to an average of two to five landslides per mile of pipeline, and where new landslide hazards may develop on an annual basis. Typical site-specific monitoring approaches (e.g., strain gauge, inclinometers, monitoring points, etc.) may not be economically feasible to use for all hazards when traversing long distances of such terrain, and such approaches likely do not address the need to identify new hazards that may develop over time (e.g., new or reactivated landslides). Strong monitoring programs should seek to identify and use complimentary technologies to balance out the relative strengths and weaknesses of each. Overdependence on a single or select number of tools could lead to overconfidence and an unnecessary number of false positives and negatives. This paper will provide an overview of monitoring approaches that have proven useful for the long-term monitoring and assessment of high density landslide areas at a system-wide scale, including the use of repeat LiDAR surveys (i.e., LiDAR Change Detection Analysis), in-line inspection (ILI) inertial measurement unit (IMU) data, aerial patrol/reconnaissance, and ground patrol. Case studies will be presented from the Appalachian Basin region, including how monitoring techniques were selected based on specific pipeline system configurations and individual Operator objectives, and how they are being used to track existing hazards and to identify hazards as they develop.
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Atanasova, Mila, Hristo Nikolov, Ivan Georgiev, and Anton Ivanov. "Deformation analysis in landslides NE Bulgaria using GNSS data complemented by InSAR for better interpretation results." In 5th Joint International Symposium on Deformation Monitoring. Valencia: Editorial de la Universitat Politècnica de València, 2022. http://dx.doi.org/10.4995/jisdm2022.2022.13837.

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The Bulgarian northern Black Sea coast is affected by many landslides. Landslide research is important as these phenomena cause loss of human lives and infrastructural damages. For this study a landslide area called "Dalgiya yar" was selected. The objective of this study is to provide solid grounds for monitoring the landslide processes using GNSS and SAR data. To achieve the set goals a geodynamic network was established. Those networks consist generally of two types of points – reference (located on geologically stable terrain) and survey points located within the landslide. The overall deformation analysis of the geodynamic networks is done after the third measurement cycle. The main approach to obtain the final results is based on determination of deformation components of spatially oriented triangles. For the studied period and for the mentioned area three main types of deformations have been determined by Finite Elements Method – station displacements, relative side deformations and relative principal deformations. It needs to be mentioned that due to peculiarities of the researched zone the condition that the final elements must to be configured approximately as equilateral triangles with approximately equal areas and not overlapping was not possible to be met. This is the reason to complement the GNNS results with such produced by DInSAR processing of Sentinel-1 data for the mentioned periods.
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Coren, Franco. "Multitemporal Lidar Monitoring of Landslides." In 73rd EAGE Conference and Exhibition - Workshops 2011. Netherlands: EAGE Publications BV, 2011. http://dx.doi.org/10.3997/2214-4609.20144694.

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Depountis, Nikolaos, Katerina Kavoura, Konstantinos Nikolakopoulos, George Drakatos, Panagiotis Argyrakis, Panagiotis Elias, and Nikolaos Sabatakakis. "Landslide monitoring using geotechnical, UAV, GNSS and MTInSAR instrumentation." In 5th Joint International Symposium on Deformation Monitoring. Valencia: Editorial de la Universitat Politècnica de València, 2022. http://dx.doi.org/10.4995/jisdm2022.2022.13818.

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Many mountainous villages have been struck by landslides in Western Greece due to growing urbanization and uncontrolled land use in landslide prone areas, without considering the engineering geological environment. The presence of the tectonically highly sheared and weathered geological formations of the alpine basement (such as flysch) and the intense geomorphological relief, strongly contribute to the periodically induced instability phenomena mainly triggered by heavy rainfalls and extreme meteorological events. The current research combines long-term monitoring of the parameters connected to the landslide activity with the real-time kinematics observation in a dense-populated mountainous village located in the Region of Epirus in Greece. The landslide movements evolve very low velocity values at different depths; thus, the landslide cases can be characterized as complex and "extremely slow". The long-term monitoring is carried out by several in-place and portable inclinometer probes that permit the detailed observation of subsurface displacements for an extended period. In addition, GNSS measurements, very high-resolution multitemporal interferometry (accompanied with the installation of corner reflectors) and Unmanned Aerial Vehicle (UAV) photogrammetric surveys are used for the monitoring of surface deformation. All instrumentation is installed in the wider area of the landslide zone and one of the main goals of this approach is to combine long-term monitoring of the parameters connected to the landslide activity with the observation of the landslide kinematics in real-time.
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Corominas, Jordi, José Moya, and Josep A. Gili. "GAINING UNDERSTANDING OF LANDSLIDES BY MONITORING." In GSA Annual Meeting in Seattle, Washington, USA - 2017. Geological Society of America, 2017. http://dx.doi.org/10.1130/abs/2017am-295040.

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Manetti, Luca, Andrea Terribilini, and Alfredo Knecht. "Autonomous remote monitoring system for landslides." In SPIE's 9th Annual International Symposium on Smart Structures and Materials, edited by Daniele Inaudi and Eric Udd. SPIE, 2002. http://dx.doi.org/10.1117/12.472622.

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Звіти організацій з теми "Landslides monitoring"

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Huntley, D., D. Rotheram-Clarke, R. Cocking, J. Joseph, and P. Bobrowsky. Current research on slow-moving landslides in the Thompson River valley, British Columbia (IMOU 5170 annual report). Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331175.

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Interdepartmental Memorandum of Understanding (IMOU) 5170 between Natural Resources Canada (NRCAN), the Geological Survey of Canada (GSC) and Transport Canada Innovation Centre (TC-IC) aims to gain new insight into slow-moving landslides, and the influence of climate change, through testing conventional and emerging monitoring technologies. IMOU 5107 focuses on strategically important sections of the national railway network in the Thompson River valley, British Columbia (BC), and the Assiniboine River valley along the borders of Manitoba (MN) and Saskatchewan (SK). Results of this research are applicable elsewhere in Canada (e.g., the urban-rural-industrial landscapes of the Okanagan Valley, BC), and around the world where slow-moving landslides and climate change are adversely affecting critical socio-economic infrastructure. Open File 8931 outlines landslide mapping and changedetection monitoring protocols based on the successes of IMOU 5170 and ICL-IPL Project 202 in BC. In this region, ice sheets, glaciers, permafrost, rivers and oceans, high relief, and biogeoclimatic characteristics contribute to produce distinctive rapid and slow-moving landslide assemblages that have the potential to impact railway infrastructure and operations. Bedrock and drift-covered slopes along the transportation corridors are prone to mass wasting when favourable conditions exist. In high-relief mountainous areas, rapidly moving landslides include rock and debris avalanches, rock and debris falls, debris flows and torrents, and lahars. In areas with moderate to low relief, rapid to slow mass movements include rockslides and slumps, debris or earth slides and slumps, and earth flows. Slow-moving landslides include rock glaciers, rock and soil creep, solifluction, and lateral spreads in bedrock and surficial deposits. Research efforts lead to a better understanding of how geological conditions, extreme weather events and climate change influence landslide activity along the national railway corridor. Combining field-based landslide investigation with multi-year geospatial and in-situ time-series monitoring leads to a more resilient railway national transportation network able to meet Canada's future socioeconomic needs, while ensuring protection of the environment and resource-based communities from landslides related to extreme weather events and climate change. InSAR only measures displacement in the east-west orientation, whereas UAV and RTK-GNSS change-detection surveys capture full displacement vectors. RTK-GNSS do not provide spatial coverage, whereas InSAR and UAV surveys do. In addition, InSAR and UAV photogrammetry cannot map underwater, whereas boat-mounted bathymetric surveys reveal information on channel morphology and riverbed composition. Remote sensing datasets, consolidated in a geographic information system, capture the spatial relationships between landslide distribution and specific terrain features, at-risk infrastructure, and the environmental conditions expected to correlate with landslide incidence and magnitude. Reliable real-time monitoring solutions for critical railway infrastructure (e.g., ballast, tracks, retaining walls, tunnels, and bridges) able to withstand the harsh environmental conditions of Canada are highlighted. The provision of fundamental geoscience and baseline geospatial monitoring allows stakeholders to develop robust risk tolerance, remediation, and mitigation strategies to maintain the resilience and accessibility of critical transportation infrastructure, while also protecting the natural environment, community stakeholders, and Canadian economy. We propose a best-practice solution involving three levels of investigation to describe the form and function of the wide range of rapid and slow-moving landslides occurring across Canada that is also applicable elsewhere. Research activities for 2022 to 2025 are presented by way of conclusion.
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Huntley, D., D. Rotheram-Clarke, R. Cocking, J. Joseph, and P. Bobrowsky. Understanding plateau and prairie landslides: annual report on landslide research in the Thompson River valley, British Columbia, and the Assiniboine River valley, Manitoba-Saskatchewan (2020-2021 to 2021-2022). Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329205.

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Анотація:
Open File 8838 is a publication of Interdepartmental Memorandum of Understanding (IMOU) 5170 between Natural Resources Canada (NRCAN), the Geological Survey of Canada (GSC), and Transport Canada Innovation Centre (TC-IC). IMOU 5107 aims to gain new insight into slow-moving landslides and the influence of climate changes through testing conventional and emerging monitoring technologies along strategically important sections of the national railway network in the Thompson River valley, British Columbia, and the Assiniboine River valley along the borders of Manitoba and Saskatchewan. The results of this research will be applicable to other sites in Canada, and elsewhere around the world where slowmoving landslides and climate change are adversely affecting critical socio-economic infrastructure.
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Lato, M., P. Bobrowsky, N. Roberts, S. Bean, S. Powell, S. McDougall, M. A. Brideau, D. Stead, and D. VanDine. Site investigation, analysis, monitoring and treatment, canadian technical guidelines and best practices related to landslides: a national initiative for loss reduction. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2016. http://dx.doi.org/10.4095/299117.

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Lanik, Amanda, Jason Rogers, and Ronald Karpilo. Lake Clark National Park and Preserve: Geologic resources inventory report. National Park Service, December 2021. http://dx.doi.org/10.36967/nrr-2288490.

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Geologic Resources Inventory reports provide information and resources to help park managers make decisions for visitor safety, planning and protection of infrastructure, and preservation of natural and cultural resources. Information in GRI reports may also be useful for interpretation. This report synthesizes discussions from a scoping meeting held in 2005 and a follow-up conference call in 2018. Chapters of this report discuss the geologic setting and significance, geologic features and processes, and geologic resource management issues within Lake Clark National Park and Preserve. Information about the previously completed GRI map data is also provided. GRI map posters (separate product) illustrate these data. Geologic features, processes, and resource management issues identified include volcanoes and volcanic hazards, bedrock, faults and folds, landslides and rockfall, earthquakes, tsunamis, mineral development and abandoned mineral lands, paleontological resources, glaciers and glacier monitoring, lakes, permafrost, and coastal features.
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Huntley, D. H., P. T. Bobrowsky, R. F. MacLeod, R. B. Cocking, J M R. Joseph, K. Sattler, D. Elwood, et al. Proactive Infrastructure Monitoring And Evaluation (PRIME) installation in Canada: protecting national railways by monitoring moisture in an active landslide near Ashcroft, British Columbia. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2019. http://dx.doi.org/10.4095/314548.

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Huntley, D., P. Bobrowsky, Q. Zhang, X. Zhang, and Z. Lv. Fibre Bragg grating and Brillouin optical time domain reflectometry monitoring manual for the Ripley Landslide, near Ashcroft, British Columbia. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/304235.

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Choe, B.-H., A. Blais-Stevens, S. Samsonov, and J. Dudley. RADARSAT Constellation Mission (RCM) InSAR preliminary observations of slope movements in British Columbia, Alberta, and Nunavut. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331099.

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The Geological Survey of Canada (GSC)mp;gt;'s Public Safety Geoscience Program (PSGP) has collaborated with the Canada Centre for Remote Sensing (CCRS) to assess the performance of new RCM data for monitoring slope movements. The PSGP has the mandate to study natural hazards and provide baseline geoscience information to help stakeholders and decision-makers mitigate against potential risk. This report provides preliminary results observed from new RCM InSAR data acquired over 21 sites in British Columbia (BC), Alberta (AB), and Nunavut (NU) from April 2020 to September 2021. , In some cases, comparisons with RCM imagery were made with RADARSAT-2 and Sentinel-1 observations. A total of 13 sites in BC, two sites in AB, and six sites in NU that are located close to communities and/or infrastructure were investigated. From these, we acquired a total of 1235 RCM single look complex (SLC) images of HH polarization (ascending: 514, descending: 721) from April 2020 to September 2021. Most were acquired with 3 m very-high-resolution and/or 5 m high-resolution modes. Based on the preliminary observations, the advantages and limitations of RCM InSAR for landslide monitoring are highlighted.
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Huntley, D., P. Bobrowsky, R. Cocking, J. Joseph, P. Neelands, R. MacLeod, D. Rotheram-Clarke, R. Usquin, and F. Verluise. Installation, operation and evaluation of an innovative global navigation satellite system monitoring technology at Ripley Landslide and South Slide near Ashcroft, British Columbia. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2020. http://dx.doi.org/10.4095/327125.

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Wilson, A. M., and M. C. Kelman. Assessing the relative threats from Canadian volcanoes. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328950.

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This report presents an analysis of the threat posed by active volcanoes in Canada and outlines directives to bring Canadian volcano monitoring and research into alignment with global best practices. We analyse 28 Canadian volcanoes in terms of their relative threat to people, aviation and infrastructure. The methodology we apply to assess volcanic threat was developed by the United States Geological Survey (USGS) as part of the 2005 National Volcano Early Warning System (NVEWS). Each volcano is scored on a number of hazard and exposure factors, producing an overall threat score. The overall threat scores are then assigned to five threat categories ranging from Very Low to Very High. We adjusted the methodology slightly to better suit Canadian volcano conditions by adding an additional knowledge uncertainty score; this does not affect the threat scoring or ranking. Our threat assessment places two volcanoes into the Very High threat category (Mt. Meager and Mt. Garibaldi). Three Canadian volcanoes score in the High threat category (Mt. Cayley, Mt. Price and Mt. Edziza) and two volcanoes score in the Moderate threat category (the Nass River group and Mt. Silverthrone). We compare the ranked Canadian volcanoes to similarly scored volcanoes in the USA and assess the current levels of volcano monitoring against internationally recognised monitoring strategies. We find that even the most thoroughly-studied volcano in Canada (Mt. Meager) falls significantly short of the recommended monitoring level (Mt. Meager is currently monitored at a level commensurate with a Very Low threat edifice, according to NVEWS recommendations). All other Canadian volcanoes are unmonitored (other than falling within a regional seismic network emplaced to monitor tectonic earthquakes). Based on the relative threat and scientific uncertainty surrounding some Canadian volcanoes, we outline five strategies to improve volcano monitoring in Canada and lower the uncertainty about eruption style and frequency: installation of real-time seismic stations at all Very High and High threat volcanoes, comprehensive lithofacies studies at Mt. Garibaldi in order to reduce uncertainty surrounding the frequency and style of volcanism, hazard mapping at Mt. Garibaldi and Mt. Cayley and publication of existing hazard analyses and mapping for Mt. Meager as a comprehensive hazard map, regular satellite-based ground deformation monitoring at all Very High to Moderate threat edifices, and, finally, installation of a landslide detection and alerting system at Mt. Meager.
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Wilson, A. M., and M. C. Kelman. Assessing the relative threats from Canadian volcanoes. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328950.

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Анотація:
This report presents an analysis of the threat posed by active volcanoes in Canada and outlines directives to bring Canadian volcano monitoring and research into alignment with global best practices. We analyse 28 Canadian volcanoes in terms of their relative threat to people, aviation and infrastructure. The methodology we apply to assess volcanic threat was developed by the United States Geological Survey (USGS) as part of the 2005 National Volcano Early Warning System (NVEWS). Each volcano is scored on a number of hazard and exposure factors, producing an overall threat score. The overall threat scores are then assigned to five threat categories ranging from Very Low to Very High. We adjusted the methodology slightly to better suit Canadian volcano conditions by adding an additional knowledge uncertainty score; this does not affect the threat scoring or ranking. Our threat assessment places two volcanoes into the Very High threat category (Mt. Meager and Mt. Garibaldi). Three Canadian volcanoes score in the High threat category (Mt. Cayley, Mt. Price and Mt. Edziza) and two volcanoes score in the Moderate threat category (the Nass River group and Mt. Silverthrone). We compare the ranked Canadian volcanoes to similarly scored volcanoes in the USA and assess the current levels of volcano monitoring against internationally recognised monitoring strategies. We find that even the most thoroughly-studied volcano in Canada (Mt. Meager) falls significantly short of the recommended monitoring level (Mt. Meager is currently monitored at a level commensurate with a Very Low threat edifice, according to NVEWS recommendations). All other Canadian volcanoes are unmonitored (other than falling within a regional seismic network emplaced to monitor tectonic earthquakes). Based on the relative threat and scientific uncertainty surrounding some Canadian volcanoes, we outline five strategies to improve volcano monitoring in Canada and lower the uncertainty about eruption style and frequency: installation of real-time seismic stations at all Very High and High threat volcanoes, comprehensive lithofacies studies at Mt. Garibaldi in order to reduce uncertainty surrounding the frequency and style of volcanism, hazard mapping at Mt. Garibaldi and Mt. Cayley and publication of existing hazard analyses and mapping for Mt. Meager as a comprehensive hazard map, regular satellite-based ground deformation monitoring at all Very High to Moderate threat edifices, and, finally, installation of a landslide detection and alerting system at Mt. Meager.
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