Academic literature on the topic 'Landslide assessment'
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Journal articles on the topic "Landslide assessment"
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Litoseliti, Aspasia, Ioannis K. Koukouvelas, Konstantinos G. Nikolakopoulos, and Vasiliki Zygouri. "An Event-Based Inventory Approach in Landslide Hazard Assessment: The Case of the Skolis Mountain, Northwest Peloponnese, Greece." ISPRS International Journal of Geo-Information 9, no. 7 (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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Kasahara, Natsuki, Yutaka Gonda, and Nejan Huvaj. "Quantitative Land-Use and Landslide Assessment: A Case Study in Rize, Türkiye." Water 14, no. 11 (June 4, 2022): 1811. http://dx.doi.org/10.3390/w14111811.
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Currently, many studies have reported that many landslides occur in tea or rubber plantation areas. In these areas, it is important to make a landslide susceptibility map and to take necessary measures to mitigate landslide damage. However, since historical landslide distribution data and land use data are not available, quantitative landslide assessment measurements have not been made in many countries. Therefore, in this study, landslide distribution maps and land use maps are created with worldwide available satellite imagery and Google Earth imagery, and the relationship between landslides and land use is analyzed in Rize, Türkiye. The results show that landslides are 1.75 to 5 times more likely to occur in tea gardens than in forests. It was also found that land use has the highest contribution to landslides among the landslide conditioning factors. The landslide assessment, using a simple landslide detection method and land use classification method with worldwide available data, enabled us to quantitatively reveal the characteristics of landslides. The results of this study reveal that quantitative landslide assessments can be applied in any location, where relatively high resolution satellite imagery and Google Earth imagery, or its alternatives, are available.
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Finlay, P. J., G. R. Mostyn, and R. Fell. "Landslide risk assessment: prediction of travel distance." Canadian Geotechnical Journal 36, no. 3 (October 25, 1999): 556–62. http://dx.doi.org/10.1139/t99-012.
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The Geotechnical Engineering Office of Hong Kong database of landslides for the period 1984-1993, containing over 3000 landslide records, and data for major landslides before this period were made available for a landslide risk assessment study. Data from over 1100 of these landslides in man-modified slopes were collated, processed, and analyzed statistically. Multiple regression models, based on slope geometry, were developed for the prediction of landslide travel on a horizontal surface below the slope. Although developed for slopes in Hong Kong, the models can be applied in similar geological situations (weathered granite and other weathered volcanics) and are suited for landslide risk zoning in areas below man-modified slopes and for the assessment of risks from individual cuts and fills.Key words: landslide, travel distance, risk, risk assessment.
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Guzzetti, F., M. Galli, P. Reichenbach, F. Ardizzone, and M. Cardinali. "Landslide hazard assessment in the Collazzone area, Umbria, Central Italy." Natural Hazards and Earth System Sciences 6, no. 1 (January 31, 2006): 115–31. http://dx.doi.org/10.5194/nhess-6-115-2006.
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Abstract. We present the results of the application of a recently proposed model to determine landslide hazard. The model predicts where landslides will occur, how frequently they will occur, and how large they will be in a given area. For the Collazzone area, in the central Italian Apennines, we prepared a multi-temporal inventory map through the interpretation of multiple sets of aerial photographs taken between 1941 and 1997 and field surveys conducted in the period between 1998 and 2004. We then partitioned the 79 square kilometres study area into 894 slope units, and obtained the probability of spatial occurrence of landslides by discriminant analysis of thematic variables, including morphology, lithology, structure and land use. For each slope unit, we computed the expected landslide recurrence by dividing the total number of landslide events inventoried in the terrain unit by the time span of the investigated period. Assuming landslide recurrence was constant, and adopting a Poisson probability model, we determined the exceedance probability of having one or more landslides in each slope unit, for different periods. We obtained the probability of landslide size, a proxy for landslide magnitude, by analysing the frequency-area statistics of landslides, obtained from the multi-temporal inventory map. Lastly, assuming independence, we determined landslide hazard for each slope unit as the joint probability of landslide size, of landslide temporal occurrence, and of landslide spatial occurrence.
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Dai, Cong, Weile Li, Huiyan Lu, and Shuai Zhang. "Landslide Hazard Assessment Method Considering the Deformation Factor: A Case Study of Zhouqu, Gansu Province, Northwest China." Remote Sensing 15, no. 3 (January 19, 2023): 596. http://dx.doi.org/10.3390/rs15030596.
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Landslides are geological disasters that can cause great damage to natural and social environments. Landslide hazard assessments are crucial for disaster prevention and mitigation. Conventional regional landslide hazard assessment results are static and do not take into account the dynamic changes in landslides; thus, areas with landslides that have been treated and stabilized are often still identified as high-risk areas. Therefore, a new hazard assessment method is proposed in this paper that combines the deformation rate results obtained by interferometric synthetic aperture radar (InSAR) with the results of conventional hazard assessments to obtain the hazard assessment level while considering the deformation factor of the study area, with Zhouqu, Gansu Province, selected as the case study. First, to obtain the latest landslide inventory map of Zhouqu, the hazard assessment results of the study area were obtained based on a neural network and statistical analysis, and an innovative combination of the deformation rate results of the steepest slope direction from the ascending and descending data were obtained by InSAR technology. Finally, the hazard assessment level considering the deformation factor of Zhouqu was obtained. The method proposed in this paper allows for a near-term hazard assessment of the study area, which in turn enables dynamic regional landslide hazard assessments and improves the efficiency of authorities when conducting high-risk-area identification and management.
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Poudel, Khagendra Raj, Ramesh Hamal, and Naresh Paudel. "Landslide Susceptibility Assessment: Identification and Hazard Mapping of Gandaki Province, Nepal." Prithvi Academic Journal 3 (June 21, 2020): 11–21. http://dx.doi.org/10.3126/paj.v3i0.29555.
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Landslides considered as a common hazard, affecting constantly the administrative territory of Gandaki province, located in the central part of Nepal. Impact of landslides is significant due to its specific geological, anthropic, vegetation and other circumstances. The main aim of this study was to identify the factors determining landslides and forming a landslide susceptibility mapping of study area. The fieldwork was conducted, where 128 GPS locations was recorded throughout the study area. This study also used the maximum entropy model using MaxEnt software, taking into account of various landslide-causing factors, resulting major variables of landslides risk and formed susceptibility mapping of landslide. It is identified that slope and land use land cover are most important variables to increase the landslide risk. Findings highlight that lands around the riversides and steep slopes are more risky area in terms of landslides. Moreover, it is found that the area of 3371.32 km2 measured as landslide risk zone in this province, where Gorkha district categorized as most vulnerable place for landslide, comprising of largest area of landslide risk zone while Parbat district has low amount of risk land. Since the human casualties and property loss are the major consequences of the disaster, it is essential to identify and analyse the factors determining for landslide and developing the landslide susceptibility mapping of Gandaki province, which could be taken into account while developing mitigation and coping strategies.
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Li, Langping, and Hengxing Lan. "Integration of Spatial Probability and Size in Slope-Unit-Based Landslide Susceptibility Assessment: A Case Study." International Journal of Environmental Research and Public Health 17, no. 21 (November 1, 2020): 8055. http://dx.doi.org/10.3390/ijerph17218055.
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Landslide spatial probability and size are two essential components of landslide susceptibility. However, in existing slope-unit-based landslide susceptibility assessment methods, landslide size has not been explicitly considered. This paper developed a novel slope-unit based approach for landslide susceptibility assessment that explicitly incorporates landslide size. This novel approach integrates the predicted occurrence probability (spatial probability) of landslides and predicted size (area) of potential landslides for a slope-unit to obtain a landslide susceptibility value for that slope-unit. The results of a case study showed that, from a quantitative point of view, integrating spatial probability and size in slope-unit-based landslide susceptibility assessment can bring remarkable increases of AUC (Area under the ROC curve) values. For slope-unit-based scenarios using the logistic regression method and the neural network method, the average increase of AUC brought by incorporating landslide size is up to 0.0627 and 0.0606, respectively. Slope-unit-based landslide susceptibility models incorporating landslide size had utilized the spatial extent information of historical landslides, which was dropped in models not incorporating landslide size, and therefore can make potential improvements. Nevertheless, additional case studies are still needed to further evaluate the applicability of the proposed approach.
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Kohno, Masanori, and Yuki Higuchi. "Landslide Susceptibility Assessment in the Japanese Archipelago Based on a Landslide Distribution Map." ISPRS International Journal of Geo-Information 12, no. 2 (January 22, 2023): 37. http://dx.doi.org/10.3390/ijgi12020037.
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Though danger prediction and countermeasures for landslides are important, it is fundamentally difficult to take preventive measures in all areas susceptible to dangerous landslides. Therefore, it is necessary to perform landslide susceptibility mapping, extract slopes with high landslide hazard/risk, and prioritize locations for conducting investigations and countermeasures. In this study, landslide susceptibility mapping along the whole slope of the Japanese archipelago was performed using the analytical hierarchy process (AHP) method, and geographic information system analysis was conducted to extract the slope that had the same level of hazard/risk as areas where landslides occurred in the past, based on the ancient landslide topography in the Japanese archipelago. The evaluation factors used were elevation, slope angle, slope type, flow accumulation, geology, and vegetation. The landslide susceptibility of the slope was evaluated using the score accumulation from the AHP method for these evaluation factors. Based on the landslide susceptibility level (I to V), a landslide susceptibility map was prepared, and landslide susceptibility assessment in the Japanese archipelago was identified. The obtained landslide susceptibility map showed good correspondence with the landslide distribution, and correlated well with past landslide occurrences. This suggests that our method can be applied to the extraction of unstable slopes, and is effective for prioritizing and implementing preventative measures.
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Shahi, Tapendra Kumar. "Earthquake-Induced Shallow Landslide Susceptibility Assessment of Gorkha District." Journal of Advanced College of Engineering and Management 5 (December 18, 2019): 181–93. http://dx.doi.org/10.3126/jacem.v5i0.26766.
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Nepal is very seriously affected by landslides every year causing loss of life and property. Large scale earthquakes that occurred in different time periods such as on 15th January, 1934 or that on 25th April 2015 have proved Nepal as seismically vulnerable -place. Nepal has witnessed several landslides during and after the earthquake events making some areas of land quite vulnerable for settlement and other usages. Therefore in order to minimize the impacts of landslides caused due to earthquakes, highly susceptible locations should be identified and spatial planning is made accordingly. Considering topographic effects in amplification of earthquake ground motion, Uchida et al. (2004) have developed a topographical parameter based empirical description of landslide susceptibility during an earthquake. In this research, the method proposed by Uchida et al. (2004) is utilized in raster GIS and landslide susceptibility analysis is performed in the study area of SulikotGaupalika of Gorkha district, Nepal which was severely hit by several landslides due to “Gorkha Earthquake 2015". The landslide inventory map of SulikotGaupalika due to “Gorkha Earthquake 2015" is obtained and is correlated with landslide susceptibility values as obtained by using Uchida et al. (2004). The analysis shows that the method proposed by Uchida et al. (2004) is more than 68.9% accurate in delineating the probable locations of earthquake induced landslides. By calibrating landslide data and landslide susceptibility values in a small site (i.e. SulikotGaupalika) within the study area, a final landslide susceptibility map is prepared for the whole study area of Gorkha district. The resultant susceptibility map is very useful for planning settlements, development activities and reconstruction planning.
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Chen, Qin, Lixia Chen, Lei Gui, Kunlong Yin, Dhruba Pikha Shrestha, Juan Du, and Xuelian Cao. "Assessment of the physical vulnerability of buildings affected by slow-moving landslides." Natural Hazards and Earth System Sciences 20, no. 9 (September 29, 2020): 2547–65. http://dx.doi.org/10.5194/nhess-20-2547-2020.
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Abstract. Physical vulnerability is a challenging and fundamental issue in landslide risk assessment. Previous studies mostly focus on generalized vulnerability assessment from landslides or other types of slope failures, such as debris flow and rockfall, while the long-term damage induced by slow-moving landslides is usually ignored. In this study, a method was proposed to construct physical vulnerability curves for masonry buildings by taking the Manjiapo landslide as an example. The landslide's force acting on the buildings' foundation is calculated by applying the landslide residual-thrust calculation method. Considering four rainfall scenarios, the buildings' physical responses to the thrust are simulated in terms of potential inclination by using Timoshenko's deep-beam theory. By assuming the landslide safety factor to be landslide intensity and inclination ratio to be vulnerability, a physical vulnerability curve is fitted and the relative function is constructed by applying a Weibull distribution function. To investigate the effects of buildings' parameters that influence vulnerabilities, the length, width, height, and foundation depth and Young's modulus of the foundation are analysed. The validation results on the case building show that the physical vulnerability function can give a good result in accordance with the investigation in the field. The results demonstrate that the building length, width, and foundation depth are the three most critical factors that affect the physical vulnerability value. Also, the result shows that the higher the ratio of length to width of the building, the more serious the damage to the building. Similarly, the shallower the foundation depth is, the more serious the damage will be. We hope that the established physical vulnerability curves can serve as tools for the quantitative risk assessment of slow-moving landslides.
Dissertations / Theses on the topic "Landslide assessment"
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Abdel-Latif, M. A. "Landslide hazard assessment." The Ohio State University, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=osu1371042717.
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Guzzetti, Fausto. "Landslide hazard and risk assessment." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=980716993.
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Karam, Karim S. (Karim Semaan) 1977. "Landslide hazards assessment and uncertainties." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33690.
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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2005.Includes bibliographical references (v. 2, p. 736-750).
Landslides are natural phenomena which are difficult to predict because their initiation depends on many factors and on the interaction between these factors. The annual number of causalities caused by landslides is in the thousands, and infrastructural damage is in the billions of dollars. To satisfy the increasingly urgent societal demand for protection against landslides, it is necessary to systematically assess and manage landslide hazard and risk. This can be done using principles of decision making under uncertainty. We develop an advanced combined hydrologic - stability model that is better capable of assessing landslide hazards than current models used in landslide analyses. This model allows one to evaluate landslide hazards deterministically. We use the model to study landslide failure mechanisms, and classify these according to the manner in which a slope gets saturated during rain. We showed that slopes with great depths to bedrock and shallow depths to the water table, tend to fail by saturation from below, resulting in deep seated landslides, and slopes with deep lying water tables tend to fail by saturation from above, resulting in shallow landslides.
(cont) Landslide hazards include, by definition, uncertainties which can be expressed probabilistically. Uncertainties arise from parameters and from models. We develop efficient techniques to formally incorporate parameter uncertainties into the combined hydrologic - stability model, and hence into the hazard assessment procedure. We then show that landslide hazards are significantly influenced by the joint probability distribution of the soil strength parameters and the strength submodel(s) used in the stability models, and by the soil characteristic curve submodel(s) used in the hydrologic models. This study leads to a better understanding of landslide mechanisms and to advanced models that assess landslide hazards more accurately than current models. The results of parameter uncertainty investigations show which parameters are most important in landslide analyses, and hence where it is worthwhile to obtain more information. The results of model uncertainty investigations show which models are most important in landslide analyses, and hence where further research needs to be undertaken.
by Karim S. Karam.
Ph.D.
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FERRETTI, ANTONIO. "Landslide hazard assessment in structurally complex soils." Doctoral thesis, Università Politecnica delle Marche, 2020. http://hdl.handle.net/11566/274557.
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Nel contesto europeo, l’Italia è il paese più incline al dissesto da frana, dove i fenomeni franosi sono i più frequenti e diffusi tra i pericoli naturali. Una stima quantitativa del pericolo da frana è perciò un importante e attuale problema e riveste un ruolo centrale nella valutazione e gestione del rischio, permettendo di individuare i migliori interventi e strategie per fronteggiare tali fenomeni.
In tale contesto, questo lavoro si è concentrato sull’analisi e la comprensione dei più rilevanti fattori e processi che, alla scale del versante, regolano la stabilità dei pendii naturali. Una corretta diagnosi del meccanismo di instabilità, infatti, è di primaria importanza al fine di quantificarne il pericolo associato.
Nello specifico, è stato sviluppato un processo diagnostico di una frana esistente, la quale interagisce con un tratto di un’importante arteria stradale situata in Italia centrale. Tale frana è stata opportunamente selezionata dal momento che è ben rappresentativa di una tipologia di frane ampiamente diffusa nel territorio nazionale, generalmente identificate come “frane attive a cinematica lenta”. Tali movimenti di vaste proporzioni si sviluppano in pendii dolci costituiti da depositi argillosi consistenti, molto spesso tettonizzati, che manifestano riattivazioni periodiche in relazione al regime piovoso dell’area. Dato che tali frane sono caratterizzate da velocità contenute, esse non costituiscono un pericolo diretto per le persone ma hanno un importante impatto economico sulla società, danneggiando insediamenti urbani e infrastrutture.
All’interno del processo di diagnosi, il monitoraggio si è rivelato essere un prezioso strumento che ha permesso di evidenziare in maniera chiara la risposta del sistema alle azioni esterne che ne compromettono la stabilità, ossia le piogge e gli scuotimenti sismici.
Per quanto riguarda lo studio degli effetti pluvioindotti, sono state condotte delle analisi idrauliche in regime transitorio attraverso una modellazione numerica agli elementi finiti che ha cercato di tener conto degli elementi più significativi che governano il processo di infiltrazione. È stato riscontrato un soddisfacente accordo tra le oscillazioni della falda simulate e quelle monitorate, evidenziando che il modello numerico è capace di riprodurre in maniera realistica la risposta idraulica del pendio in funzione del regime piovoso. Successivamente, sono state effettuate delle analisi di stabilità all’equilibrio limite considerando le oscillazioni di falda simulate in modo da quantificare il loro effetto sulla stabilità del pendio. I valori del fattore di sicurezza, ottenuti considerando che la resistenza a taglio residua sia pienamente sviluppata lungo la superficie di scorrimento, sono risultati essere generalmente bassi, confermando la condizione di precaria stabilità della frana messa in luce dal monitoraggio inclinometrico. Perciò tale modellazione ha effettivamente permesso di approfondire il meccanismo di instabilità considerato.
La stabilità del pendio, inoltre, è stata valutata anche nei confronti delle azioni sismiche. Grazie alla rara disponibilità sia degli spostamenti sismici monitorati che delle registrazioni accelerometriche, è stato possibile stimare l’accelerazione critica del sistema sulla base di dati reali. A tal fine, è stata eseguita una procedura di back-analysis impiegando il ben noto metodo di Newmark. I valori così ottenuti trovano un buono accordo con altre stime riportate in letteratura e con i valori calcolati attraverso il metodo pseudostatico. Di conseguenza, è stato possibile fornire una stima attendibile dell’accelerazione critica del pendio, che è un parametro fondamentale per la valutazione della risposta del pendio alle azioni sismiche.
In conclusione, sebbene questo lavoro si sia focalizzato sullo studio di uno specifico caso, la maggior parte dei risultati è di rilevante importanza per approfondire la conoscenza di così complessi fenomeni naturali e il processo interpretativo adottato può essere applicato ad altre situazioni simili.In the European context, Italy is the most landslide prone country where landslides are the most frequent and disperse natural hazards. Therefore, the landslide hazard assessment, especially in terms of quantity, is a relevant and current problem and plays a central role within the risk assessment and management framework, allowing to find the best remedial measures and strategies to cope with such phenomena. In this context, this work has focused on the analysis and understanding of the most relevant slope factors and processes that contribute to the stability of natural slopes. In fact, a proper diagnosis of the landslide mechanism is of primary importance to the quantitative definition of the hazard posed by a given landslide. In particular, a stepwise diagnosis of a real landslide, which interacts with a segment of an important highway in central Italy, has been developed. Such landslide has been properly chosen since well representative of a class of slope failures so widespread in the national territory, generally referred to as “active slow moving landslides”. These large-scale slope movements take place in gentle slopes made of stiff clayey deposits, very often tectonically disturbed, that exhibit periodically reactivations related to the rainfall regime of the area. Since low entity velocities characterize these landslides, they are not hazardous for human lives but they have an important economic impact on society, being responsible for extensive damage to urban settlements and infrastructures. In the developed diagnostic process, monitoring turned out to be a precious instrument that allowed depicting clearly the actual response of the system to the external actions affecting its stability, i.e. rainfalls and seismic shakings. This aspect highlights the central role played by a good quality monitoring as a part of the investigation of slope stability. With regard to the rainfall-induced effects, transient hydraulic analyses have been carried out by means of finite element method modelling that tried to account for the most relevant aspects that govern the infiltration process. A good agreement between the simulated groundwater fluctuations and the monitored ones has been obtained, demonstrating that the numerical model is able to reproduce realistically the hydraulic response of the slope as a function of the rainfall regime. Subsequently, limit equilibrium stability analyses have been conducted by considering the simulated groundwater fluctuations in order to quantify their effect on the slope stability. The general low values of the factor of safety, obtained considering that the residual shear strength is fully attained along the entire slip surface, confirmed the precarious stability of the landslide, as highlighted by inclinometer monitoring. Therefore, such modelling provided a further interpretation of the analysed landslide mechanism. Moreover, the stability of the slope has been also evaluated under earthquake loadings. Thanks to the very rare availability of both monitored seismic displacements and accelerometric records, it has been possible to estimate the critical acceleration of the system based on real data. To do so, a back-analysis procedure has been carried out by the well-known Newmark’s method. The obtained values are in good agreement with other estimates reported in literature and with the ones calculated by the pseudostatic method. As a result, it has been possible to give a reliable estimate of the critical acceleration of the slope, which is an essential parameter in evaluating its performance under earthquake loadings. In conclusion, even though this work has been focused on a specific case study, most of the findings are relevant to deepen the knowledge of such complex natural phenomena and the interpretative process adopted can be applied to other similar situations.
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Postance, Benjamin F. "Indirect impact of landslide hazards on transportation infrastructure." Thesis, Loughborough University, 2017. https://dspace.lboro.ac.uk/2134/32771.
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This thesis examines the indirect impact of natural hazards on infrastructure networks. It addresses several key themes and issues for hazard assessment, network modelling and risk assessment using the case study of landslides impacting the national road network in Scotland, United Kingdom. The research follows four distinct stages. First, a landslide susceptibility model is developed using a database of landslide occurrences, spatial data sets and logistic regression. The model outputs indicate the terrain characteristics that are associated with increased landslide potential, including critical slope angles and south westerly aspects associated with increased rates of solar irradiance and precipitation. The results identify the hillslopes and road segments that are most prone to disruption by landslides and these indicate that 40 % (1,700 / 4,300 km) of Scotland s motorways and arterial roads (i.e. strategic road network) are susceptible to landslides and this is above previous assessments. Second, a novel user-equilibrium traffic model is developed using UK Census origin-destination tables. The traffic model calculates the additional travel time and cost (i.e. indirect impacts) caused by network disruptions due to landslide events. The model is applied to calculate the impact of historic scenarios and for sets of plausible landslide events generated using the landslide susceptibility model. Impact assessments for historic scenarios are 29 to 83 % greater than previous, including £1.2 million of indirect impacts over 15 days of disruption at the A83 Rest and Be Thankful landslide October 2007. The model results indicate that the average impact of landslides is £64 k per day of disruption, and up to £130 k per day on the most critical road segments in Scotland. In addition to identifying critical road segments with both high impact and high susceptibility to landslides, the study indicates that the impact of landslides is concentrated away from urban centres to the central and north-west regions of Scotland that are heavily reliant on road and haulage-based industries such as seasonal tourism, agriculture and craft distilling. The third research element is the development of landslide initiation thresholds using weather radar data. The thresholds classify the rainfall conditions that are most commonly associated with landslide occurrence in Scotland, improving knowledge of the physical initiation processes and their likelihood. The thresholds are developed using a novel optimal-point threshold selection technique, high resolution radar and new rain variables that provide spatio-temporally normalised thresholds. The thresholds highlight the role of the 12-day antecedent hydrological condition of soils as a precursory factor in controlling the rain conditions that trigger landslides. The new results also support the observation that landslides occur more frequently in the UK during the early autumn and winter seasons when sequences or clustering of multiple cyclonic-storm systems is common in periods lasting 5 to 15 days. Fourth, the three previous elements are combined to evaluate the landslide hazard of the strategic road segments and a prototype risk assessment model is produced - a catastrophe model. The catastrophe model calculates the annual average loss and aggregated exceedance probability of losses due to the indirect impact of landslides in Scotland. Beyond application to cost-benefit analyses for landslide mitigation efforts, the catastrophe model framework is applicable to the study of other natural hazards (e.g. flooding), combinations of hazards, and other infrastructure networks.
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Lam, Huu Quang. "DEVELOPMENT OF HAZARD ASSESSMENT TECHNOLOGY OF THE PRECURSOR STAGE OF LANDSLIDES." Kyoto University, 2018. http://hdl.handle.net/2433/232065.
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Protong, Shotiros. "Climate change and landslide risk assessment in Thailand." Thesis, University of Southampton, 2016. https://eprints.soton.ac.uk/401821/.
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The incidents of sudden landslides in Thailand during the past decade have occurred frequently and more severely. It is necessary to focus on the principle parameters used for analysis such as land cover/land use, rainfall values, characteristics of the soil and digital elevation model(DEM). Rainfall has increased in intensity. For example, the rainfall amount in March in 2011 was the highest in the previous 36 years (1974-2011). However,there was only one tropical cyclone that year. This situation was considered unusual compared to other years (TMD, 2011c). Landslide occurrences occur during intense rainfall especially in the rainy season in Thailand which usually starts around mid-May and ends in the middle of October. The landslide risk analysis is the focus of this research. The combination of geotechnical and hydrological data is used to determine permeability, conductivity, bedding orientation, overburden and presence of loose blocks. The regional landslide hazard mapping is developed using the Slope Stability Index SINMAP model supported by Digital Elevation Model (DEM) in 30 metres. So, the 30 metre pixel size of DEM is used to calcu late on the ground. Geological and land use data are used to define the probability of landslide occurrences in terms of geotechnical data. The geological data can indicate the shear strength and the angle of friction values for soils above given rock types, which leads to the general applicability of the approach for landslide hazard analysis. To address the research, the following methods are described in this study: the calibration and the sensitivity of the SINMAP modelfor setup, geotechnical laboratory,landslide assessment at present calibration and landslide assessment under future climate simulation scenario A2 and B2. A2 simulation scenario delineates a very heterogeneous world and continuous population and economic growth, while B2 storyline is oriented on local solution to economical, social and environmental sustainability (START, 2010). In terms of hydrological data, the millimetres/twenty-four hours of average rainfall data are used to assess the induced rainfall landslide hazard analysis in slope stability mapping. The period 1954-2012is used for the baseline of rainfall data for calibration of present-dayconditions. Future climate simulation scenarios are downscaled in the local areas. The precipitation trends are needed to predict the future climate. The Statistical Down scaling Model (SDSM), is used to assess the simulation scenario of future change for latitudes16o26’and 18o37’and between longitude 98o52’ and 103o05’,is about 117,500 km2, covering Uttaradit province in the northern part of Thailand. The research allows the mapping of landslide risk, and indicates the spatial and time periodof landslide occurrences. Thus, regional landslide hazard mapping under present-day climatic conditions from 1954 to 2012 and simulations of climate change from 2013 to 2099 related to the threshold rainfall values for the selected the study areaare presented. Finally, the zonation of landslide risk will be compared and shown by areas (km2) in both the present and the future under climate simulation scenarios A2 and B2 in Uttaradit province. The rainfall trend will increase in the future simulation. The zonation of landslide risk is nearly the same between the present and the future simulation, while the failure region will obviously increase in the future, especially in steep slope areas.
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Alvarado, Bueno Mauricio. "Landslide motion assessment including thermal interaction : an MPM approach." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/525825.
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Risk associated with landslides of natural or man-made origin depends on the prediction of the post-failure behaviour of the mobilized mass. Numerical models capable of integrating the landslide geometry and its evolution, the coupled hydro mechanical interaction and the soil properties in the context of dynamic forces and large displacements are currently under development. This thesis is a contribution to this effort.
In this sense, the material point method (MPM) is especially suited for analyzing landslides with large displacements. This numerical procedure must be accompanied by tests under controlled conditions in order to accurately check and calibrate the numerical response.
In this thesis the capabilities of the MPM code developed are evaluated through the modelling of scaled laboratory slope tests with large displacements. In order to achieve an adequate comparison of the experimental and numerical results, the experiments are analysed by means of the interpretation of sequential digital images of the movement of the granular medium during the test (PIV technique). A novel procedure is developed to obtain the field of deformations over time and the tracking of particle path in a manner suitable for comparison with numerical results calculated in MPM.
The main objective of the thesis was the development of a comprehensive calculation
tool capable of simulating the behaviour of the slides from the initial triggering to the post-failure phase including thermal effects that determine the evolution of the movement.
A formulation for non-isothermal problems coupled with hydraulic and mechanical
behaviour in MPM was developed and implemented. The formulation includes the dissipation of frictional work as heat, which takes place, mainly, in shear bands. The described phenomena are strongly dependent on the thickness of the shear band and this result in a strong dependence of the numerical results in MPM with the discretization mesh. A novel procedure to solve this problem is presented in this thesis.
Finally, very rapid Vajont landslide (Italy 1963) is modelled. A plain strain 2D model is presented without an “a priori” definition of the sliding surface. In fact, in a generalization of previous and recent work, the mobilized materials are not restricted to rigid solids interconnected along a predefined contact surface and the heat generation is not it is limited to a single predefined surface. Thus, thermal interaction processes are developed throughout the model as a function of the location and intensity of deformations.El riesgo asociado con deslizamientos de origen natural o artificial depende de la predicción del comportamiento posterior a la rotura de la masa movilizada. Actualmente se están desarrollando modelos numéricos capaces de integrar la geometría del deslizamiento y su evolución, la interacción hidromecánica acoplada y las propiedades del suelo en el contexto de fuerzas dinámicas y grandes desplazamientos. Esta tesis es una contribución a este esfuerzo. En este sentido, el método del punto material (MPM) es especialmente adecuado para analizar deslizamientos con grandes desplazamientos. Este procedimiento numérico debe ir acompañado de ensayos bajo condiciones controladas para poder comprobar y calibrar la respuesta numérica. En esta tesis se evalúan las capacidades del código MPM desarrollado, mediante la modelación de ensayos de laboratorio a escala con grandes desplazamientos. Para lograr una adecuada comparación de los resultados experimentales y numéricos, se analizan los experimentos mediante la interpretación de imágenes digitales secuenciales del movimiento del medio granular durante el ensayo (técnica PIV). Con este fin, se desarrolla un procedimiento novedoso para la obtención del campo de deformaciones en el tiempo y el seguimiento de la trayectoria de las partículas de forma idónea para la comparación con resultados numéricos calculados en MPM. El principal objetivo de la tesis fue el desarrollo de una herramienta potente de cálculo capaz de simular el comportamiento de los deslizamientos desde la rotura inicial hasta la fase de post-rotura incluyendo efectos térmicos que determinan la evolución del movimiento. Para esto, se desarrolla e implementa una formulación para problemas no isotérmicos acoplados con el comportamiento hidráulico y mecánico en MPM. Esta formulación incluye la disipación del trabajo friccional en forma de calor, lo cual ocurre principalmente en las bandas donde se localiza la deformación de corte. Este fenómeno descrito es fuertemente dependiente con el espesor de la banda de corte y esto se traduce en una fuerte dependencia de los resultados numéricos en MPM con la malla de discretización empleada. En esta tesis se presenta un novedoso procedimiento para solventar este problema. Por último se presenta la modelación del movimiento ocurrido en el deslizamiento rápido de Vajont (Italia 1963). Se introduce un modelo 2D en deformación plana sin una definición "a priori" de la superficie de deslizamiento. De hecho, generalizando los trabajos hechos anteriormente, los materiales movilizados no se restringen a solidos rígidos interconectados a lo largo de una superficie de contacto predefinida y la generación de calor no se limita a una única superficie predefinida. Así, los procesos de interacción térmica se desarrollan en todo el modelo en función de la localización e intensidad de las deformaciones.
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Mason, Philippa Jane. "Landslide hazard assessment using remote sensing and GIS techniques." Thesis, Imperial College London, 1999. http://hdl.handle.net/10044/1/8899.
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Hendy, Setiawan. "Landslide Hazard Assessment on the Upstream of Dam Reservoir." 京都大学 (Kyoto University), 2017. http://hdl.handle.net/2433/225565.
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付記する学位プログラム名: グローバル生存学大学院連携プログラムKyoto University (京都大学)
0048
新制・課程博士
博士(工学)
甲第20340号
工博第4277号
新制||工||1662(附属図書館)
京都大学大学院工学研究科社会基盤工学専攻
(主査)教授 寶 馨, 教授 角 哲也, 准教授 佐山 敬洋
学位規則第4条第1項該当
Books on the topic "Landslide assessment"
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C, Jones David K., ed. Landslide risk assessment. London: ICE Publishing, 2014.
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M, Cruden D., Fell Robin, and International Workshop on Landslide Risk Assessment (1997 : Honolulu, Hawaii), eds. Landslide risk assessment. Rotterdam: A. A. Balkema, 1997.
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Mulder, Frans. Assessment of landslide hazard. Amsterdam: Koninklijk Nederlands Aardrijkskundig Genootschap, 1991.
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K, Huat Bujang B., and Penerbit Universiti Putra Malaysia, eds. Landslides in Malaysia: Occurrences, assessment, analyses, and remediation. Serdang: Penerbit Universiti Putra Malaysia, 2008.
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Partnerships for reducing landslide risk: Assessment of the National Landslide Hazards Mitigation Strategy. Washington, D.C: National Academies Press, 2004.
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Klose, Martin. Landslide Databases as Tools for Integrated Assessment of Landslide Risk. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20403-1.
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Pradhan, Biswajeet, ed. Laser Scanning Applications in Landslide Assessment. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55342-9.
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L, Baum Rex, and Geological Survey (U.S.), eds. Assessment of landslide hazards in Kaluanui and Maakua Gulches, Oahu, Hawaii, following the 9 May 1999 Sacred Falls landslide. [Denver, Colo.?]: U.S. Dept. of the Interior, U.S. Geological Survey, 1999.
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Abella, Enrique Armando Castellanos. Multi-scale landslide risk assessment in Cuba. Enschede: International Institute for Geo-information Science and Earth Observation, 2008.
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Abella, Enrique Armando Castellanos. Multi-scale landslide risk assessment in Cuba. Enschede: International Institute for Geo-information Science and Earth Observation, 2008.
Find full textBook chapters on the topic "Landslide assessment"
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Mandal, Sujit, and Subrata Mondal. "Concept on Landslides and Landslide Susceptibility." In Statistical Approaches for Landslide Susceptibility Assessment and Prediction, 1–39. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93897-4_1.
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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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Mandal, Sujit, and Ramkrishna Maiti. "Landslide Mitigation." In Semi-quantitative Approaches for Landslide Assessment and Prediction, 227–59. Singapore: Springer Singapore, 2014. http://dx.doi.org/10.1007/978-981-287-146-6_8.
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Markuzon, Natasha, Catherine Slesnick, Erin Leidy, John Regan, Xiang Gao, and Adam Schlosser. "Prospects in Landslide Prediction." In Natural Hazard Uncertainty Assessment, 329–36. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119028116.ch22.
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Bathrellos, George D., Dionissios P. Kalivas, and Hariklia D. Skilodimou. "Landslide Susceptibility Assessment Mapping." In Remote Sensing of Hydrometeorological Hazards, 493–512. Boca Raton, FL : Taylor & Francis, 2018.: CRC Press, 2017. http://dx.doi.org/10.1201/9781315154947-24.
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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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Nguyen, Chi Cong, Phuoc Vo, Viet Long Doan, Quang Binh Nguyen, Tien Cuong Nguyen, and Quoc Dinh Nguyen. "Assessment of the Effects of Rainfall Frequency on Landslide Susceptibility Mapping Using AHP Method: A Case Study for a Mountainous Region in Central Vietnam." In Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022, 87–98. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18471-0_7.
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AbstractVietnam’s mountainous regions often encounter landslides, frequently resulting in fatalities, infrastructure damage, and landscape destruction. A landslide susceptibility map is an effective tool for mitigating disaster impacts on hazard-prone areas. This study investigates the applicability of the Analytic Hierarchy Process to produce a landslide susceptibility index. Eight major impact factors are analyzed using SAGA, a GIS-based toolkit, including slopes, aspect, land use, soil type, elevation, distance to road, distance to stream, and antecedent rainfall. Four landslide susceptibility maps are produced corresponding to frequency scenarios of 3-day antecedent rainfall data which is taken from Regional Frequency Analysis (RFA). We assess the modeling performances using Area Under the Curve (AUC) index and the results show that the AHP model has good performance. The findings demonstrate a significant influence of rainfall antecedent conditions on the susceptibility map of landslides in this study area.
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Fantucci, R. "Dendrogeomorphology in Landslide Analysis." In Floods and Landslides: Integrated Risk Assessment, 69–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-58609-5_5.
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Sorriso-Valvo, Marino. "Landslide Risk Assessment in Italy." In Landslide Hazard and Risk, 699–732. Chichester, West Sussex, England: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9780470012659.ch24.
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Wijaya, I. Putu Krishna, Peeranan Towashiraporn, Anish Joshi, Susantha Jayasinghe, Anggraini Dewi, and Md Nurul Alam. "Climate Change-Induced Regional Landslide Hazard and Exposure Assessment for Aiding Climate Resilient Road Infrastructure Planning: A Case Study in Bagmati and Madhesh Provinces, Nepal." In Progress in Landslide Research and Technology, Volume 1 Issue 1, 2022, 175–84. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16898-7_12.
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AbstractNepal’s hilly and mountainous regions are highly susceptible to landslides triggered by extreme precipitations. The prevalence of such landslides has increased due to climate change-induced extreme hydro-meteorological conditions. These recurring landslides have significantly impacted the road transport infrastructure, which is the economic lifeline for cities and socio-economic mobility of rural communities in the hilly and mountainous regions of the country. This study modelled extreme rainfall scenarios for the current 1976–2005 baseline and future horizons of 2030, 2050, and 2080 to develop high-resolution 1 km × 1 km mean precipitation datasets under RCP4.5 and RCP8.5. Based on these extreme precipitation scenarios, we developed high-resolution landslide hazard models adopting integrated weighted index by combining the Frequency Ratio (FR) and Analytical Hierarchical Process (AHP) methods using multi-variate factors. The multi-variate factors included three terrain parameters—slope, aspect, and elevation; two soil parameters—lithology and soil type; two Euclidean distance parameters from the likely sources—distance from the lineaments and distance from the stream/river; an anthropogenic parameter—land use; and the climate parameter—the mean annual rainfall for four-time horizons and two RCPs. These parameters were spatially modelled and combined using the weighted overlay method to generate a landslide hazard model. As demonstration case studies, the landslide hazard models were developed for Bagmati and Madhesh provinces. The models were validated using the Receiver Operating Characteristic curve (ROC) approach, which showed a satisfactory 81–86% accuracy in the study area. Spatial exposure analysis of the road network assets under the Strategic Road Network (SRN) was completed for seven landslide hazard scenarios. In both Bagmati and Madhesh provinces, the exposure analysis showed that the proportion of road sections exposed to landslide hazard significantly increases for the future climate change scenarios compared to the current baseline scenario.
Conference papers on the topic "Landslide assessment"
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Hitchcock, Christopher S., Richard W. Gailing, and Scott C. Lindvall. "Geotechincal Assessment for Mitigation of a High-Pressure Pipeline Across Active Landslides: Design of a Directional Bore in Southern California." In 2008 7th International Pipeline Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/ipc2008-64326.
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Landslides are often a hazard to high-pressure gas transmission pipelines operating in hilly and mountainous terrain. Typical mitigation options include pipeline rerouting or removing the landslide from the pipeline, if possible. When rerouting or hazard removal is not a viable option due to terrain conditions or the size of the landslide loading the pipeline, directional bores can be used to place the pipeline beneath the active portion of the slope failure. As part of our study of the geotechnical viability of mitigation options for a pipeline impacted by coastal landslides, rerouting and landslide mitigation alternatives were fully investigated. Geologic interpretation of high-resolution, publicly available IfSAR and privately-flown LiDAR data were used to evaluate alternative routes around active and potentially active landslides. Geotechnical borings through the landslides ultimately provided sufficient information supporting directional drilling beneath the active landslides as the most efficient alternative, returning the pipeline to full service.
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Prasolov, A. A., N. A. Orlova, and I. F. Volfson. "ASSESSMENT AND CALCULATION METHODOLOGY OF GEOECOLOGICAL (LITHOEDAPHOLOGICAL) RISK OF LANDSLIDES DURING THE INFLUENCE TO FERTILE LAYERS OF SOIL." In Всероссийская научная конференция, посвященная памяти доктора технических наук, профессора Александра Дмитриевича Потапова. Федеральное государственное бюджетное образовательное учреждение высшего образования "Национальный исследовательский Московский государственный строительный университет" (НИУ МГСУ), 2021. http://dx.doi.org/10.22227/978-5-7264-2875-8.2021.116-122.
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The paper presents the main characteristics of assessment and calculation of the risk caused by hazardous geological and engineering-geological processes on the example of landslides. The main aspects of assessing geological risk are shown – physical, economic, social and ecological. The main features of ecological risk are indicated, the most common methods for determination it are identified.When considering the impact of landslide processes on fertile soil layers, two main drawbacks were found - underestimation of the depth of the landslides’ impact on the soil cover and the absence of pronounced differences between risk assessments for living communities (soil ecosystems) within the framework of geoecological risk (in this case, lithoedaphological risk) and risk for abiotic components (soil cover) within the environmental risk (in this case, lithopedological risk). Various methods are presented and aspects taken into account for the assessment of geoecological risk, medical and social problems, potentially caused by landslide processes, are noted.
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Theriault, Bailey, Dennis O’Leary, Donald West, and Mark Nixon. "Terrain Analysis and Geologic Hazards Assessment: A Comparison of the Objectives and Methods of Each, and the Benefits of Completing Both in Parallel." In 2018 12th International Pipeline Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/ipc2018-78129.
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Terrain analyses and geologic hazards assessments are recognized as important components for pipeline planning, permitting, and asset management. Although the two types of assessments have inherently different objectives and outputs, there is some overlap in the results between the two and they tend to complement each other; thus, there are benefits to conducting the two assessments in parallel, and integrating the results. Likewise, situations may arise where information from both assessments may simultaneously prove useful in driving decision-making. Terrain analyses seek to identify homogenous terrain units based on material types, surface expression, depth to bedrock, slope, drainage, and geomorphological processes. Information compiled during a terrain analysis helps to develop a detailed understanding of the local terrain, which can be used to estimate geotechnical soil properties, provide cost savings, and formulate sound decision-making throughout the life of a pipeline. Geologic hazards assessments generally seek to individually identify, map, characterize, and ultimately allow for mitigation/monitoring of potential geologic hazards, through increasingly detailed geomorphic/geologic assessments. Some typical geologic hazards that are evaluated include landslide, seismic, subsidence, and hydrotechnical hazards. Once identified, a qualitative hazard classification (e.g., low, moderate, high) is generally assigned to each possible hazard, based on several criteria such as the activity level of the geologic process, rate and magnitude of movement of the hazard, the areal extent and proximity of the hazard, the estimated likelihood that the hazard would affect or engage a pipeline during its service life. The hazard classifications are often then tied to recommendations for additional assessment and/or response and mitigation. The identification of a landslide will be used as an example to highlight how the two assessments can overlap and complement one another, but still provide unique information, and how the two assessments can be used in conjunction to inform better decision-making. Both assessments may identify the location of the same landslide or potentially unstable slope. The geologic hazards assessment would further characterize the landslide’s spatial relationship to the pipe both laterally and vertically, its activity level, etc., in order to evaluate the potential hazard the landslide poses to the pipeline. If mitigation was deemed necessary, information from both the terrain mapping and geologic hazards assessment could be used to evaluate the specific characteristics of the landslide, as well as the surrounding terrain, in order to select the most suitable form of mitigation.
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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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Chan, Y. T. A., L. Liu, W. Hou, and R. Tsui. "Photogrammetry- and LiDAR-based Multi-temporal Point Cloud Models and Digital Elevation Models for Landslide Investigation in Hong Kong - Feasibility and Challenges." In The HKIE Geotechnical Division 42nd Annual Seminar. AIJR Publisher, 2022. http://dx.doi.org/10.21467/proceedings.133.13.
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In adapting to rapid urban development and changing climate, the geotechnical industry is shifting towards harnessing digital technologies in Natural Terrain Hazard Study (NTHS) for landslide investigation. In this paper, we adopted a new digital method using multi-temporal point cloud models and digital elevation models derived from various available resources for the assessment of landslide source volume and dimensions. These resources include (1) historical aerial photographs from territory-wide aerial photographic survey carried out by the Lands Department, (2) project-specific UAV photographic and video surveys, and (3) the territory-wide airborne LiDAR surveys data. Two case studies from the Fei Ngo Shan area, Hong Kong, were carried out. Case 1 involves two recent landslides that occurred in 2005, and Case 2 involves a cluster of eight recent landslides that occurred in 2020. All these ten landslides were carefully investigated using conventional methods (e.g., field measurement or API) by GEO and GeoRisk Solutions, respectively. These investigation results were taken as legacy records for a comparison with the results derived from our adopted digital method. The comparison shows that the landslide source volume derived from the digital method is similar to the legacy record. This paper assessed the feasibility and accuracies of aligning and comparing digital models derived from multi-sources for landslide studies.
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Laing, Matthew, and Andy Young. "Recognising the Influence of Landslide Transition Zones in the Assessment of Pipeline Integrity." In ASME 2017 International Pipeline Geotechnical Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/ipg2017-2512.
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Pipelines crossing mountainous areas are susceptible to ground movement loading from landslides. Structural analysis of pipeline performance from landslide loads is critical for making decisions on the requirement and timing of intervention activities. Current analytical assessment methodologies for pipelines affected by ground movement tend to assume the landslide as an abrupt boundary from the stable region to moving ground, causing an over conservative estimation of the condition of the pipeline. In-line inspection using inertial mapping tools provides invaluable information to assist in the determination of the current pipeline integrity but does not provide a complete picture because axial loads are not defined. Interpretation of in-line inspection data allows the estimation of a transition zone width between stable and unstable ground, where there is a progressive increase in ground movement. Due allowance for the transition zone can remove conservatisms in the assessment methodology and allow a pipeline integrity plan to be created. This paper investigates the influence of landslide transition zone dimensions on the pipeline response and a methodology is developed for the prediction of the transition zone width. The interaction between the ground and the pipe movement is modelled using finite element analysis techniques. The definition of the transition zone properties provides a more reliable prediction of the pipeline performance and enables the current and future pipe integrity to be established with greater confidence.
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Borovskiy, O. O., M. M. Bondarenko, and A. E. Mazko. "Social perception of the landslide hazards by residents of Kyiv landslide-prone areas." In Second EAGE Workshop on Assessment of Landslide Hazards and impact on communities. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202055016.
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Varela, Patricia, Sam Cheng, Rodolfo Sancio, Doug Cook, Alex McKenzie-Johnson, and Smitha Koduru. "A New GIS-Based Method to Estimate Annual Probability of Pipeline Failure Resulting From Landslides Based on Actual Failure Locations." In 2022 14th International Pipeline Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/ipc2022-86749.
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Abstract Risk assessment and reliability models try to predict the probability of landslide-induced pipeline failures based on detailed, site-specific studies. Because these models are mainly designed to be used on a site-by-site basis, applying them over long pipelines is a challenge due to the challenges of collecting vast amounts of data for those long distances. A new GIS-based method has been developed to produce an order of magnitude approach to estimating the annual probability of landslide-caused failures (POFs) of pipelines over entire transmission systems using historical data that can range from loss of containment, loss of serviceability, and significant deformations caused by landslides. This new method uses high-resolution light detection and ranging (LiDAR) mapping to detect and delineate terrain anomalies interpreted to be the geomorphic response to ground deformations caused by landslides. The possible landslides are inventoried to record their activity, relative relationship with the pipeline, proximity to the centerline, length of intersection with a pipeline, and the angle of incidence between the perceived direction of movement of the potential landslide and the pipeline. This method also integrates regional landslide susceptibility maps depicting the relative likelihood of soil units to landslide occurrence along the pipeline corridor and its surrounding areas. In the presented study case, the developed method is applied to an approximately 19,312-kilometer (12,000-mile) pipeline system located in the United States and Canada. The application of the model yielded results that significantly help the operator to prioritize and optimize the allocation of resources for landslide management. The model can be replicated over multiple pipeline systems and customized to the particular needs of the end-users.
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Simonyan, V. V. "LANDSLIDE RISK ASSESSMENT AND FACILITIES SAFETY." In International seminar dedicated to the 70th anniversary of doctor of geological and mineralogical Sciences, Professor Viktor Khomenko. Moscow State University of Civil Engineering, 2019. http://dx.doi.org/10.22227/978-5-7264-1933-6.2019.49-54.
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Li, Ting, Yuan Tian, Chenchao Xiao, and Wengyi Zhao. "Slope location-based landslide vulnerability assessment." In 2013 21st International Conference on Geoinformatics. IEEE, 2013. http://dx.doi.org/10.1109/geoinformatics.2013.6626073.
Full textReports on the topic "Landslide assessment"
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Chung, C. F., and J. M. Shaw. Quantitative prediction models for landslide hazard assessment. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1999. http://dx.doi.org/10.4095/210202.
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Singhroy, V., H. Ohkura, and N. Glenn. Earth Observation for Landslide Assessment: CEOS Report Summary. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2002. http://dx.doi.org/10.4095/219939.
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Singhroy, V., J. E. Loehr, and A. C. Correa. Landslide Risk Assessment with High Spatial Resolution Remote Sensing Satellite Data. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2000. http://dx.doi.org/10.4095/219716.
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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.
Full textAbstract:
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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Journeay, M., P. LeSueur, W. Chow, and C L Wagner. Physical exposure to natural hazards in Canada. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330012.
Full textAbstract:
Natural hazard threats occur in areas of the built environment where buildings, people, and related financial assets are exposed to the physical effects of earth system processes that have a potential to cause damage, injuries, losses, and related socioeconomic disruption. As cities, towns, and villages continue to expand and densify in response to the pressures of urban growth and development, so too do the levels of exposure and susceptibility to natural hazard threat. While our understanding of natural hazard processes has increased significantly over the last few decades, the ability to assess both overall levels of physical exposure and the expected impacts and consequences of future disaster events (i.e., risk) is often limited by access to an equally comprehensive understanding of the built environment and detailed descriptions of who and what are situated in harm's way. This study addresses the current gaps in our understanding of physical exposure to natural hazards by presenting results of a national model that documents characteristics of the built environment for all settled areas in Canada. The model (CanEM) includes a characterization of broad land use patterns that describe the form and function of cities, towns, and villages of varying size and complexity, and the corresponding portfolios of people, buildings and related financial assets that make up the internal structure and composition of these communities at the census dissemination area level. Outputs of the CanEM model are used to carry out a preliminary assessment of exposure and susceptibility to significant natural hazard threats in Canada including earthquake ground shaking; inundation of low-lying areas by floods and tsunami; severe winds associated with hurricanes and tornados; wildland urban interface fire (wildfire); and landslides of various types. Results of our assessment provide important new insights on patterns of development and defining characteristics of the built environment for major metropolitan centres, rural and remote communities in different physiographic regions of Canada, and the effects of ongoing urbanization on escalating disaster risk trends at the community level. Profiles of physical exposure and hazard susceptibility described in this report are accompanied by open-source datasets that can be used to inform local and/or regional assessments of disaster risk, community planning and emergency management activities for all areas in Canada. Study outputs contribute to broader policy goals and objectives of the International Sustainable Development Goals (SDG 2015-2030; Un General Assembly, 2015) and the Sendai Framework for Disaster Risk Reduction (SFDRR 2015-2030; United Nations Office for Disaster Reduction [UNDRR], 2015), of which Canada is a contributing member. These include a more complete understanding of natural hazard risk at all levels of government, and the translation of this knowledge into actionable strategies that are effective in reducing intrinsic vulnerabilities of the built environment and in strengthening the capacity of communities to withstand and recover from future disaster events.
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Geographic relations of landslide distribution and assessment of landslide hazards in the Blanco, Cibuco, and Coamo basins, Puerto Rico. US Geological Survey, 1996. http://dx.doi.org/10.3133/wri954029.
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