Relevant bibliographies by topics / Risk analysis of landslides

Academic literature on the topic 'Risk analysis of landslides'

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Published: 6 September 2023

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Journal articles on the topic "Risk analysis of landslides"

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Han, Meng, Xiao Yi Fan, and Jian Ping Qiao. "Background Factors Analysis and Risk Evaluation Based on Fuzzy Theory in Wenchuan Seismic Landslides." Applied Mechanics and Materials 204-208 (October 2012): 2698–704. http://dx.doi.org/10.4028/www.scientific.net/amm.204-208.2698.

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Earthquake is one of the most important external factors causes landslide, the geological and topographical conditions of the slope itself is the most important internal factors which induce landslide on landslide’s size and probability. These factors can be described as background factors impact the seismic landslides. Through the analysis and statistics on seismic landslides’ data in this paper, five directions were studied. These are lithology, slope height, slope angel, slope shape and slope direction. The influence features on number, area and volume of the five background factors show the contribution rate and risk degree. Using fuzzy theory to carry out quantitative and semi-quantitative analysis on these factors, the weights of the five background factors can be determined. Then using the risk evaluation on a specific landslide according to the principle of maximum membership, the result shows this method is reasonable.
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Salvati, P., C. Bianchi, F. Fiorucci, P. Giostrella, I. Marchesini, and F. Guzzetti. "Perception of flood and landslide risk in Italy: a preliminary analysis." Natural Hazards and Earth System Sciences Discussions 2, no. 5 (May 15, 2014): 3465–97. http://dx.doi.org/10.5194/nhessd-2-3465-2014.

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Abstract. Inundations and landslides are widespread phenomena in Italy, where they cause severe damage and pose a threat to the population. Little is known on the perception of the population of landslides and floods. This is surprising, as an accurate perception is important for the successful implementation of many risk reduction or adaptation strategies. In an attempt to fill this gap, we have conducted two national surveys to measure the perception of landslide and flood risk of the population of Italy. The surveys were executed in 2012 and 2013, performing for each survey approximately 3100 computer assisted telephone interviews. The samples of the interviewees were statistically representative for a national scale quantitative assessment. The interviewees were asked questions designed to obtain information on their: (i) perception of natural, environmental, and technological risks, (ii) direct experience or general knowledge on the occurrence of landslides and floods in their municipality, (iii) perception of the possible threat posed by landslides and floods to their safety, (iv) general knowledge on the number of victims caused by landslides or floods, and on (v) the factors that they considered important to control landslide and flood risks in Italy. The surveys revealed that the population of Italy fears technological risks more than natural risks. Of the natural risks, earthquakes were considered more dangerous than floods, landslides, and volcanic eruptions. Examination of the temporal and geographical distribution of the responses revealed that the occurrence of recent damaging events influenced risk perception locally, and that the perception persisted longer for earthquakes and decreased more rapidly for landslides and floods. We justify the differentiation with the diverse consequences of the risks. The interviewees considered inappropriate land management the main cause of landslide and flood risk, followed by illegal construction, abandonment of the territory, and climate change. Comparison of the risk perception with actual measures of landslide and flood risk, including the number of fatal events, the number of fatalities, and the mortality rates, revealed that in most of the Italian regions the perception of the threat did not match the long-term risk posed by landslides and floods to the population. This outcome points to the need to fostering the understanding of the population of landslide and flood hazards and risks in Italy.
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Salvati, P., C. Bianchi, F. Fiorucci, P. Giostrella, I. Marchesini, and F. Guzzetti. "Perception of flood and landslide risk in Italy: a preliminary analysis." Natural Hazards and Earth System Sciences 14, no. 9 (September 29, 2014): 2589–603. http://dx.doi.org/10.5194/nhess-14-2589-2014.

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Abstract. Inundations and landslides are widespread phenomena in Italy, where they cause severe damage and pose a threat to the population. Little is known about the public perception of landslide and flood risk. This is surprising, as an accurate perception is important for the successful implementation of many risk reduction or adaptation strategies. In an attempt to address this gap, we have conducted two national surveys to measure the perception of landslide and flood risk amongst the population of Italy. The surveys were conducted in 2012 and 2013, and consisted of approximately 3100 computer-assisted telephone interviews for each survey. The samples of the interviewees were statistically representative for a national-scale quantitative assessment. The interviewees were asked questions designed to obtain information on (i) their perception of natural, environmental, and technological risks, (ii) direct experience or general knowledge of the occurrence of landslides and floods in their municipality, (iii) perception of the possible threat posed by landslides and floods to their safety, (iv) general knowledge on the number of victims affected by landslides or floods, and on (v) the factors that the interviewees considered important for controlling landslide and flood risks in Italy. The surveys revealed that the population of Italy fears technological risks more than natural risks. Of the natural risks, earthquakes were considered more dangerous than floods, landslides, and volcanic eruptions. Examination of the temporal and geographical distributions of the responses revealed that the occurrence of recent damaging events influenced risk perception locally, and that the perception persisted longer for earthquakes and decreased more rapidly for landslides and floods. We explain the difference by the diverse consequences of the risks. The interviewees considered inappropriate land management the main cause of landslide and food risk, followed by illegal construction, abandonment of the territory, and climate change. Comparison of the risk perception with actual measures of landslide and flood risk, including the number of fatal events, the number of fatalities, and the mortality rates, revealed that in most of the Italian regions, the perception of the threat did not match the long-term risk posed to the population by landslides and floods. This outcome points to a need to foster an understanding of the public towards landslide and flood hazards and risks in Italy.
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Dai, Huayan, Hong Zhang, Huayang Dai, Chao Wang, Wei Tang, Lichuan Zou, and Yixian Tang. "Landslide Identification and Gradation Method Based on Statistical Analysis and Spatial Cluster Analysis." Remote Sensing 14, no. 18 (September 9, 2022): 4504. http://dx.doi.org/10.3390/rs14184504.

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As a type of earth observation technology, interferometric synthetic aperture radar (InSAR) is increasingly widely used in the field of geological disaster detection. However, the application of InSAR in low-coherence areas, such as alpine canyon areas and vegetation coverage areas, is subject to considerable limitations. How to accurately identify landslides from InSAR measurement data in these areas remains the subject of several challenges and shortcomings. Based on statistical analysis and spatial cluster analysis, in this paper, we propose an automatic landslide identification and gradation method suitable for low-coherence areas. The proposed method combines the small baseline subset InSAR (SBAS-InSAR) method and the interferogram stacking (stacking-InSAR) method to obtain a deformation map in the study area, using statistical analysis and spatial cluster analysis to extract deformation regions and landslide polygons to propose a landslide screening model (LSM) based on multivariate features to screen landslides and reduce the interference of noise in landslide identification, in addition to proposing a landslide gradation model (LGM) based on signum function to grade the identified landslides and provide support to distinguish landslides with different deformation degrees. The method was applied to landslide identification in the upper section of the Jinsha River basin, and 47 potential landslides were identified, including 15 high-risk landslides and 13 landslides endangering villages. The experimental results show that the proposed method can identify landslides accurately and hierarchically in low-coherence areas, providing support for geological hazard investigation agencies and local departments.
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Kahar, Muhammad Afiq Abdul, Hamzah Hussin, Nadia Ramli, and Muhammad Fahmi Abdul Ghani. "Landslide Analysis Approaches in Tropical Environment Region for Disaster Risk Reduction." IOP Conference Series: Earth and Environmental Science 1102, no. 1 (November 1, 2022): 012025. http://dx.doi.org/10.1088/1755-1315/1102/1/012025.

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Landslides are natural disasters that befall practically in almost every country worldwide. Since the behaviour of the Earth is varied and the influencing factors that induce landslides are not constant, there seems to be no precise technique for assessing and forecasting the occurrence of landslides. This study selected the Cameron Highlands district, situated in Pahang, Malaysia, which accentuates reviewing numerous methods by the preceding local researcher to analyse and assess landslide incidence. A country like Malaysia is highly vulnerable to landslides due to its geographical features of high and lowlands, relatively intense precipitation, and locality in the distribution of tropical rain forests typified by dense vegetation, hot and humid temperatures throughout the year. In comprehending the landslide, most prior researchers employed numerous approaches and methods, where three qualitative methods (acceptable accuracy), two semi-quantitative methods (78% to 86% accuracy) and five quantitative methods (86% to 98% accuracy) were identified. These methods appraise multiple parameters and employ various techniques for factor research and understanding, where each method has its own set of benefits and shortcomings. The diversity of the landslide scale requires specific research in determining landslide mapping, whether by inventory, susceptibility, hazard, or risk. An application of the programme and software platform can forecast the accuracy of landslide occurrence modelling for future landslide mitigation planning. Based on the review findings, GIS and remote sensing play a crucial part in translating spatial data for more accessible analysis in furthering the research, as supported by field survey results. Each method comprising various techniques indicates that overall accuracy is applicable for the landslide analysis approaches.
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Nai, Wang, Lan Min Wang, Zhong Xia Yuan, and Wang Qian. "Characteristic and Stability Analysis for Loess Seismic Landslide in Valley City." Advanced Materials Research 594-597 (November 2012): 1856–63. http://dx.doi.org/10.4028/www.scientific.net/amr.594-597.1856.

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In the light of heavy seismic landslide disasters in the valley city of loess area, 104 typical loess landslides caused by the 1654 Tianshui(Ms 8.0), 1718 Tongwei(Ms 7.5) and 1920 Haiyuan(Ms 8.5) earthquakes were studied, main landslide type and basic characteristics of seismic landslide in the valley city were analyzed. The landslides in the valley city of loess area are divided into three types: homogeneous loess landslide, loess interface landslide and loess-mudstone cutting layer landslide. Through the investigation and analysis of earthquake risk, the suggestion about the 22 dangerous landslides in Tianshui is given. The study is expected to supply scientific basis for seismic landslide disaster prevention and reduction in valley city of loess area.
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Kwak, Jae Hwan, and Kon Joon Bhang. "Analysis of Landslide Risk Considering Extreme Precipitation Conditions for Gyeonggi-do Gwangju Region." Crisis and Emergency Management: Theory and Praxis 17, no. 9 (September 30, 2021): 81–89. http://dx.doi.org/10.14251/crisisonomy.2021.17.9.81.

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South Korea is featured by the rugged topography that is composed of mountains about 68% of the country and the weather that rainfall is mostly concentrated during the summer. These topographic and meteorological features have caused disasters such as landslide and avalanche from mountains every year. Especially, urban expansion caused urban boundaries to get closer to steep slopes of mountains and residents are seriously exposed to disasters such as landslides so appropriate measures should be required. We, however, are facing the limitations in prevention and mitigation of landslide disasters due to the complexity of the causes of landslides like human factors as well as natural ones. To reduce the limitations, we generated of a hazard map by landslide for Gwangju City, Gyeonggi-do with an assumption of an extreme rainfall situation based on the infinite slope stability analysis model. To derive the landslide hazard map, we collected soil samples from the places where landslides actually occurred and constructed physical data by experiments and derived a landslide hazard map based on 5 rainfall scenarios. The accuracy of the result was evaluated by comparing the reference of the landslide hazard maps published by Korean Ministry of Forest.
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Tang, Dong Qi, and Jiang Bing Peng. "Statistical Analysis of Excavation Model of the Loess Landslide Developmental Characteristics." Applied Mechanics and Materials 744-746 (March 2015): 601–5. http://dx.doi.org/10.4028/www.scientific.net/amm.744-746.601.

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In recent years, with the increasing of excavation activity, caused the landslide more and more increasing, the landslide occurred gradually aroused public concern. For typical loess landslides caused by excavation, respectively from the distribution features of the landslide, landslide characteristics after wall, slope high on the impact of landslides and landslides trailing edge fracture characteristics were analyzed. Statistics show that the engineering loess landslides in the distribution respectively are selectivity of landform, strata of selectivity and zonal distribution. The excavation methods are rapid excavation and “eating” excavation. Landslide back wall angle is between 60-80°. The height of the scarp is between 3-20m, controlled by the thickness of the Malan loess. The slope high is more than 60m, with the increase of height. The risk of slide is higher. Trailing edge crack development is “wild goose feather” type and “bilateral ears” type. It provides conditions for trailing edge of evolution.
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Su, Xiaojun, Yi Zhang, Xingmin Meng, Mohib Ur Rehman, Zainab Khalid, and Dongxia Yue. "Updating Inventory, Deformation, and Development Characteristics of Landslides in Hunza Valley, NW Karakoram, Pakistan by SBAS-InSAR." Remote Sensing 14, no. 19 (September 30, 2022): 4907. http://dx.doi.org/10.3390/rs14194907.

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The Hunza Valley, in the northwestern Karakoram Mountains, North Pakistan, is a typical region with many towns and villages, and a dense population and is prone to landslides. The present study completed landslide identification, updating a comprehensive landslide inventory and analysis. First, the ground surface deformation was detected in the Hunza Valley by SBAS-InSAR from ascending and descending datasets, respectively. Then, the locations and boundaries were interpreted and delineated, and a comprehensive inventory of 118 landslides, including the 53 most recent InSAR identified active landslides and 65 landslides cited from the literature, was completed. This study firstly named all 118 landslides, considering the demand for globally intensive research and hazard mitigation. Finally, the deformation, spatial–topographic development, and distribution characteristics in the Hunza Valley scale and three large significant landslides were analyzed. Information on 72 reported landslides was used to construct an empirical power law relationship linking landslide area (AL) to volume (VL) (VL = 0.067 × AL1.351), and this formula predicted the volume of 118 landslides in this study. We discovered that the landslides from the literature, which were interpreted from optical images, had lower levels of velocity, area, elevation, and height. The SBAS-InSAR-detected active landslide was characterized by higher velocity, larger area, higher elevation, larger slope gradient, larger NDVI (normalized difference vegetation index), and greater height. The melting glacier water and rainfall infiltration from cracks on the landslide’s upper part may promote the action of a push from gravity on the upper part. Simultaneously, the coupling of actions from river erosion and active tectonics could have an impact on the stability of the slope toe. The up-to-date comprehensive identification and understanding of the characteristics and mechanism of landslide development in this study provide a reference for the next step in landslide disaster prevention and risk assessment.
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Froude, Melanie J., and David N. Petley. "Global fatal landslide occurrence from 2004 to 2016." Natural Hazards and Earth System Sciences 18, no. 8 (August 23, 2018): 2161–81. http://dx.doi.org/10.5194/nhess-18-2161-2018.

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Abstract. Landslides are a ubiquitous hazard in terrestrial environments with slopes, incurring human fatalities in urban settlements, along transport corridors and at sites of rural industry. Assessment of landslide risk requires high-quality landslide databases. Recently, global landslide databases have shown the extent to which landslides impact on society and identified areas most at risk. Previous global analysis has focused on rainfall-triggered landslides over short ∼ 5-year observation periods. This paper presents spatiotemporal analysis of a global dataset of fatal non-seismic landslides, covering the period from January 2004 to December 2016. The data show that in total 55 997 people were killed in 4862 distinct landslide events. The spatial distribution of landslides is heterogeneous, with Asia representing the dominant geographical area. There are high levels of interannual variation in the occurrence of landslides. Although more active years coincide with recognised patterns of regional rainfall driven by climate anomalies, climate modes (such as El Niño–Southern Oscillation) cannot yet be related to landsliding, requiring a landslide dataset of 30+ years. Our analysis demonstrates that landslide occurrence triggered by human activity is increasing, in particular in relation to construction, illegal mining and hill cutting. This supports notions that human disturbance may be more detrimental to future landslide incidence than climate.
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Dissertations / Theses on the topic "Risk analysis of landslides"

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Hewitt, Dolan. "Risk analysis associated with flank failure from Putauaki, Bay of Plenty, New Zealand." The University of Waikato, 2007. http://hdl.handle.net/10289/2337.

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Volcanoes are dynamic evolving structures, with life cycles that are punctuated by episodes of flank instability. Putauaki (Mount Edgecumbe) is a stratovolcano located onshore in the Bay of Plenty, New Zealand. The aim of this study was to assess the stability of Putauaki and analyse the risk associated with volcanic collapse. To achieve this objective, a multidisciplinary approach was used, incorporating geomorphological and geological mapping, rock mass classification, laboratory testing to identify geotechnical properties of materials representative of the volcano, stability modelling, and analysis of landslide run-out zones. Putauaki comprises two predominant features including the larger and younger Main Cone (the summit lying 820 m a.s.l., slope angles up to 36 ), and smaller and older Main Dome (the summit lying 420 m a.s.l., slope angle of 24 ). Both features show little evidence of erosion or surface water. Rock mass description defined six lithotechnical units including indurated andesite, indurated dacite, scoriaceous andesite, altered andesite (all categorised as hard rocks), and block and ash flow and Matahina Ignimbrite (both categorised as soft rocks). The uniaxial compressive strength (UCS) of indurated andesite and indurated dacite was 60 4 MPa and 44.7 0.9 MPa respectively, correlating with moderately strong rock. Discontinuities of the indurated units were widely spaced, showed medium persistence and wide aperture, and were slightly weathered. Infill comprised predominantly loosely packed, very strong, coarse gravel. UCS of scoriaceous andesite and altered andesite was 25 5 MPa and 15 1 MPa respectively, allowing categorisation as very weak rock. Discontinuities of scoriaceous andesite were widely spaced, showed high persistence and wide aperture, and were moderately weathered. Discontinuities of the altered andesite were moderately spaced, showed low persistence and wide aperture, and were highly weathered. Infill of scoriaceous and altered andesite was loosely packed, moist, weak to very weak medium gravel. The block and ash flow was a poorly sorted, loosely packed, sandy, gravely and cobble rich matrix supported deposit. The Matahina Ignimbrite was a very weak, discontinuity-poor deposit. Shear box testing indicated cohesion and friction angle of 0 MPa and 42.1 (block and ash flow) and 1.4 x 10-3 MPa and 41.7 (Matahina Ignimbrite) respectively. These values are similar to published values. Correlation of each lithotechnical unit to its respective rock mass description site allowed approximate boundaries of each unit to be mapped. Each unit's mass strength was combined with measured bulk densities and incorporated into two dimensional slope profiles using the stability modelling package GalenaTM. Ten slope profiles of Putauaki were constructed. Failure surfaces for each slope profile were defined using the Bishop simplified multiple analysis method. Four slope profiles showed the potential for small scale failure (less than 0.1 km2 of material). The remaining six slope profiles showed the potential for large scale failure (greater than 0.1 km2 of material). Stability of these six slope profiles was investigated further in relation to earthquake force, watertable elevation, and a disturbance factor of the rock mass (D). Conditions of failure graphs for profile 6a showed that at low D (less than 0.4), earthquake forces and watertable elevation must be unrealistically high for the region (greater than 0.33 g; greater than 15% watertable elevation) in order produce a factor of safety less than 1. The remaining five slope profiles showed potential to be unstable under realistic earthquake forces and watertable elevations. Two of these profiles were unable to achieve stability at D greater than 0.8 (profile 4) and D greater than 0.9 (profile 5). A D value of 0.6 (intermediate between 0.4 and 0.8) is argued to most realistically represent Putauaki. The fact that Putauaki has not undergone large scale failure to date supports the conclusion that the constructed models overestimate the influence of those factors which promote slope instability. Maximum and minimum landslide run-out zones were constructed for the slope profiles exhibiting the potential for large scale failure. Definition of the position and extent of maximum and minimum run-out zones assumed H/L (fall height to run-out length) ratios of 0.09 and 0.18 respectively, as well as the 'credible flow path' concept. Identified impacts of landslides sourced from Putauaki include inundation of Kawerau Township, Tarawera River, forestry operations, road networks, and power supplies. Based on these impacts, the risk posed by landslides from each slope profile was categorised as ranging from relatively low to relatively high. Landslides sourced from the south-west flanks pose a relatively low risk due to their prerequisite of unrealistically high watertable elevations and earthquake forces. Landslides sourced from the north-west flanks pose a relatively high risk as minimum run-out will inundate north-east parts of Kawerau Township. Landslides sourced from the eastern flanks pose a moderate risk due to their run-out zones avoiding Kawerau Township.
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BLAHUT, JAN. "Debris flow hazard and risk analysis at medium and local scale." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2010. http://hdl.handle.net/10281/10914.

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Increased population, its wealth and activities lead to increased risk from landslide hazards in the mountain areas. The presented study deal with the analysis of debris flow hazard and risk at medium (regional) and local (site-specific) scale. Study took place in part of Valtellina Valley in Italian Central Alps. The first part of the study presents information about landslide hazard, risk and debris flow processes. It also shows historical information about natural disasters in the study area of Mountain Consortium of Municipalities of Valtellina di Tirano together with the results from a geo-database built for the study area. The database covers a period from 1600 till 2008 and it represents an important source of information for civil protection purposes. In the second part of the study, the debris flow susceptibility, hazard and risk analysis is performed at medium scale for the whole studied territory. Firstly, a new debris flow database was prepared and used as an input for susceptibility modelling together with the official sources. Susceptibility modelling was performed, using a bi-variate statistical technique Weights-of-Evidence and then the best performing susceptibility map was selected. Afterwards, spatial comparison of different susceptibility models was made, using advanced statistical techniques (Kappa Statistic, Principal Component Analysis, and Distance Weighted Entropy). Even though the modelling results show similar performance when assessed by standard evaluation techniques, their spatial pattern is very different. This may have serious outcomes in choosing the model which is most correctly delimiting the susceptible areas. Consequently, the results from the susceptibility modelling were coupled with temporal occurrence of debris flows in order to acquire initiation probabilities. These were subsequently used as inputs for runout modelling to obtain hazard maps at medium scale. Finally, medium scale risk maps were prepared by overlaying hazard maps with the elements at risk. Then, three risk maps were obtained. Two of the maps quantify economic risk from debris flows and the third qualitatively delimits total risk areas. Besides limitations and uncertainties within all steps of the analysis, an economic estimation of prospective consequences was done, being very important for the local stakeholders as well for the general public. Third part of the work presents two case studies related to quantitative risk assessment at local scale. Selvetta debris flow event, which happened in July 2008, was studied in the field obtaining information about the debris flow and building damage. The event was back-calculated and used for estimating synthetic vulnerability functions for buildings. In the second case study, located in Tresenda, hypothetical debris flow hazard was modelled for three return periods. Hazard scenarios were prepared and risk was quantified in economic terms using the vulnerability curves from the first case study of Selvetta. The results and the method applied for the quantification of risk reveal as very promising. As a consequence, it may be very interesting to apply this approach in different socio-economic and environmental settings in order to test its robustness. Presented thesis proposes a debris flow hazard and risk analyses approach at medium and local scale. Besides its feedbacks arising from available data, models, changing natural and socio-economic conditions and other intrinsic limitations, the study shows a possible approach applicable within integrated debris flow risk management framework.
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Konsoer, Kory M. "LiDAR, GIS, and multivariate statistical analysis to assess landslide risk, Horseshoe Run Watershed, West Virginia." Morgantown, W. Va. : [West Virginia University Libraries], 2008. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=5729.

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Thesis (M.S.)--West Virginia University, 2008.
Title from document title page. Document formatted into pages; contains vii, 129 p. : ill. (some col.), col. maps. Includes abstract. Includes bibliographical references (p. 79-86).
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Erener, Arzu. "An Approach For Landslide Risk Assesment By Using Geographic Information Systems (gis) And Remote Sensing (rs)." Phd thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/3/12611314/index.pdf.

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This study aims to develop a Geographic Information Systems (GIS) and Remote Sensing (RS) Based systematic quantitative landslide risk assessment methodology for regional and local scales. Each component of risk, i.e., hazard assessment, vulnerability, and consequence analysis, is quantitatively assessed for both scales. The developed landslide risk assessment methodology is tested at Kumluca watershed, which covers an area of 330 km2, in Bartin province of the Western Black Sea Region, Turkey. GIS and RS techniques are used to create landslide factor maps, to obtain susceptibility maps, hazard maps, elements at risk and risk maps, and additionally to compare the obtained maps. In this study, the effect of mapping unit and mapping method upon susceptibility mapping method, and as a result the effect upon risk map, is evaluated. Susceptibility maps are obtained by using two different mapping units, namely slope unit-based and grid-based mapping units. When analyzing the effect of susceptibility mapping method, this study attempts to extend Logistic Regression (LR) and Artificial Neural Network (ANN) by implementing Geographically-Weighted Logistic Regression (GWR) and spatial regression (SR) techniques for landslide susceptibility assessment. In addition to spatial probability of occurrence of damaging events, landslide hazard calculation requires the determination of the temporal probability. Precipitation triggers the majority of landslides in the study region. The critical rainfall thresholds were estimated by using daily and antecedent rainfalls and landslide occurrence dates based on three different approaches: Time Series, Gumble Distribution and Intensity Duration Curves. Different procedures are adopted to obtain the element at risk values and vulnerability values for local and regional scale analyses. For regional scale analysis, the elements at risk were obtained from existing digital cadastral databases and vulnerabilities are obtained by adopting some generalization approaches. On the other hand, on local scale the elements at risk are obtained by high resolution remote sensing images by the developed algorithms in an automatic way. It is found that risk maps are more similar for slope unit-based mapping unit than grid&ndash
based mapping unit.
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Paul, Simon. "Urban Growth and Environmental Risks - A GIS-Based Analysis of Landslide Susceptibility in Bukavu (Democratic Republic of the Congo)." Thesis, Umeå universitet, Institutionen för geografi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-161193.

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The city of Bukavu, located at the eastern border of the Democratic Republic of Congo in the province of South Kivu, is a large and densely populated urban agglomeration that has experienced rapid growth during recent years. At the same time, Bukavu has been repeatedly struck by environmental hazards, especially by devastating landslides. The steepness of slopes in the city’s hilly and mountainous terrain is one of the most important factors contributing to landslide susceptibility, but the anthropogenic impact resulting from uncoordinated urban sprawl and land cover change additionally plays a crucial role in exacerbating the vulnerability of neighbourhoods. This thesis utilizes GIS software to provide cartographic material for landslide risk assessment in Bukavu and the city’s surroundings. It examines risk exposure related to slope inclination of densely built-up areas, the spatial development of the city and urban growth tendencies, and complements these aspects with information about land cover and the terrain.
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Ziegler, Guilherme La Flor. "AVALIAÇÃO DO RISCO A ESCORREGAMENTOS DEVIDO A OCUPAÇÃO URBANA NA VILA BELA VISTA EM SANTA MARIA-RS." Universidade Federal de Santa Maria, 2013. http://repositorio.ufsm.br/handle/1/7819.

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The study of geological and geotechnical characteristics of the slopes and indication of eviction those considered high risk geotechnically, can prevent tragedies caused by landslides materials. This dissertation was the main objective of evaluate the landslide risk due to urban occupation on the slope of strand west hill Cechela located in the Bela Vista village of the municipality of Santa Maria-RS. The methodology applied in this work consisted in review of the literature, field investigations, laboratory tests for characterization and determination of the resistance parameters of the soil layers, survey report of the intervention area, registration of housing under conditions of high risk to landslides, stability analysis of the slope of strand west hill Cechela and comparison of risk observed with that presented in the Municipal Plan of Reducing Risks of Santa Maria (PMRRSM). The results of inspection report are: the hillside with slopes greater than 30% is located in area not suited to urban occupation; there are deposits of small thickness colluviums situated directly on the substrate sandstone bedrock of the formation Botucatu; the most significant processes of instability on the slope are the landslides planar shallow colluvial soils. The register of homes indicates that if not done containment works two houses should be removed. The results of direct shear tests indicated that the increase of humidity and saturation degree cancels the cohesive intercept and significantly reduces the angle of internal friction of colluvium and sandstone. However, under natural conditions no saturation occurs due to the local geological conditions. The stability analysis with the use of software obtained safety factors (FS) of 1.40 and 2.57 for profiles of 07 and 17 HOUSES, showing that the slopes of the hill are stable. The landslide risk observed in the study area is less than that indicated in the PMRRSM. This work shows that must be constructed surface drainage devices and/or containment of the soil near the House 07 and 17 sites and suggests that today's families are kept in the slope of strand west hill Cechela. It is noteworthy that the village community Bela Vista should be instructed with relevant information to the identification of risks and the municipal plan risks should be reviewed.
O estudo das características geológicas e geotécnicas de encostas e indicação de desocupação daquelas consideradas geotecnicamente de alto risco, podem evitar tragédias causadas por deslizamentos de materiais. Esta dissertação de mestrado teve o objetivo principal de avaliar o risco a escorregamentos na encosta da vertente oeste do morro Cechela devido à ocupação urbana localizada na vila Bela Vista do município de Santa Maria-RS. A metodologia aplicada neste trabalho consistiu no levantamento bibliográfico, investigações de campo, ensaios laboratoriais para a caracterização e determinação dos parâmetros de resistência das camadas dos solos, laudo de vistoria da área de intervenção, cadastro das moradias em condições de risco elevado a escorregamentos, análise de estabilidade da encosta da vertente oeste do morro Cechela e comparação do risco observado com aquele apresentado no Plano Municipal de Redução de Riscos de Santa Maria (PMRRSM). Os resultados do laudo de vistoria são: a encosta com declividades superiores a 30% está localizada em área não adequada à ocupação urbana; existem depósitos de colúvios de pequena espessura situados diretamente sobre substrato rochoso arenítico da formação Botucatu; os processos de instabilização mais significativos na encosta são os escorregamentos planares de solos coluvionares rasos. O cadastro das moradias indica que se não forem executadas obras de contenção duas casas deverão ser removidas. Os resultados dos ensaios de cisalhamento direto indicaram que o aumento da umidade e grau de saturação anula o intercepto coesivo e reduz significativamente o ângulo de atrito interno do colúvio e do arenito. No entanto, nas condições naturais não ocorre a saturação devido a condições geológicas do local. As análises de estabilidade com o uso de software obtiveram fatores de segurança (FS) de 1,40 e de 2,57 para os perfis das CASAS 07 e 17, evidenciando que os taludes da encosta são estáveis. O risco a escorregamentos observado na área em estudo é menor do que aquele indicado no PMRRSM. Este trabalho evidencia que devem ser construídos dispositivos de drenagem superficial e/ou de contenção do solo junto aos locais da CASA 07 e 17 e sugere que as atuais famílias sejam mantidas na encosta da vertente oeste do morro Cechela. Destaca-se que a comunidade da vila Bela Vista deve ser instruída com informações relevantes para a identificação de riscos e que o plano municipal de riscos deve ser revisto.
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Salvador, Mateus da Mota. "Identificação e avaliação de eventos extremos na bacia hidrográfica do Rio Piranga." Universidade Federal de Viçosa, 2014. http://locus.ufv.br/handle/123456789/3823.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico
Floods and landslides are among the natural disasters most frequent that cause more economic and social losses in the world. In Brazil, a critical place is the Piranga River Watershed (PRW), located in Minas Gerais State and which comprises the Doce River headwaters. The setting is mainly due to the occurrence of extreme rainfall events associated with lack of planning and management of soil and inadequate occupation. Given the above, it is important to look after tools that help in interpreting information regarding the environment dynamics and also, tools that can identify, understand and predict the impact of changes caused to the environment. Therefore, this study was developed in two parts, involving the occurrence of extreme events in the PRW. In the first was presented a methodology for landslidesusceptible areas identification with the support of field experiments and strategic decision analysis based on multi-criteria evaluation. In the second part, the objective was to calibrate and validate a hydrological model in order to assess the effect land cover changes on the watershed hydrology opposite major floods. It can be concluded that the proposed methodology allowed the identification of landslide-susceptible areas in good agreement with the conditions observed in the field. The hydrological model was able to represent with good precision the watershed hydrological behavior and the scenarios simulation indicated an increase trend of floods occurrence due to changes in land cover. It is expected that this study enables the improvement of landslides and floods understanding and also, that it contributes as a tool for risk management in the PRW.
Enchentes e deslizamentos de terra estão entre os desastres naturais mais frequentes e que causam mais prejuízos econômicos e sociais no mundo. No Brasil, uma região crítica é a Bacia Hidrográfica do Rio Piranga (BHRP), localizada no Estado de Minas Gerais e que abriga a nascente do Rio Doce. O cenário deve-se principalmente à ocorrência de eventos de precipitação extremos associados à falta de planejamento e manejo no uso do solo e à ocupação acelerada e inadequada. Diante do exposto, é importante a busca por ferramentas que ajudem na interpretação de informações referentes à dinâmica dos recursos ambientais e que possam identificar, compreender e predizer o impacto de alterações provocadas ao meio ambiente. Nesse sentido, desenvolveu-se este trabalho na forma de dois estudos envolvendo a ocorrência de eventos extremos na BHRP. No primeiro, apresenta-se metodologia para a identificação de zonas de suscetibilidade a deslizamentos de terra com apoio de experimentos de campo e análise estratégica de decisão por avaliação multicritérios. Já no segundo estudo, o objetivo foi calibrar e validar modelo hidrológico para avaliar o efeito das mudanças de cobertura do solo no comportamento hidrológico da bacia frente a grandes cheias. Conclui-se que a metodologia apresentada permitiu a identificação de áreas suscetíveis à ocorrência de deslizamentos de terra com boa concordância em relação às condições observadas em campo. O modelo hidrológico foi capaz de representar com boa concordância o comportamento hidrológico da bacia e a simulação de cenários indicou um aumento na tendência de ocorrência de enchentes devido às mudanças na cobertura do solo. Espera-se que os resultados deste estudo permitam aprimorar a compreensão sobre os deslizamentos e enchentes e que possam contribuir como ferramenta para gestão de riscos na BHRP.
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Oven, Katie Jane. "Landscape, livelihoods and risk : community vulnerability to landslides in Nepal." Thesis, Durham University, 2009. http://etheses.dur.ac.uk/183/.

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The occurrence of fatal landslides in Nepal is increasing with time, faster than the effects of monsoonal variations. Possible explanations for the trends observed include: land-use change, population growth, and the development of transport infrastructure. However, to date, there is little evidence to support these postulated causes and very little research into the nature of landslide vulnerability in the Nepalese context. This research takes an interdisciplinary approach to examine, and where necessary, challenge a series of assumptions made regarding landslide vulnerability in Nepal with a view to developing a better understanding of social vulnerability and its underlying causes. Firstly, a bottom up livelihoods based approach is adopted to examine the following research questions: (1) Who is vulnerable to landslide hazard?; (2) Why do people occupy landslide prone areas?; and (3) How do ‘at risk’ rural communities perceive and respond to landslide hazard and risk? In so doing, this thesis approaches the question of landslide vulnerability from the perspective of the vulnerable people themselves. Secondly, the research explores how scientists and policy experts view landslide risk management in Nepal and how policy is subsequently informed and shaped. The findings highlight the impact of infrastructure projects in rural Nepal. Within the Upper Bhote Koshi Valley clear transitions in settlement patterns and rural livelihoods (and thus the occupation of landslide prone areas) have been seen over time. For the majority of households, their decision to occupy these areas is driven by the economic and social benefits associated with the road. Landslide risk therefore emerges not just from societal marginalisation but also from situations of relative prosperity. The findings suggest that occupants of landslide prone areas have a good understanding of landslide hazard and its associated risk. However, these risks are contextualised in relation to other social concerns. The significance of the findings for landslide policy and practice are addressed along with different actors’ views of landslide risk management in Nepal.
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Chan, Hoi-ting Janet. "Site-specific quantitative risk assessment in the slope safety system in Hong Kong." Click to view the E-thesis via HKUTO, 2004. http://sunzi.lib.hku.hk/hkuto/record/B43895633.

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El-Ramly, Hassan Mahmoud Fawzy. "Probabilistic analyses of landslide hazards and risks, bridging theory and practice." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/NQ60290.pdf.

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Books on the topic "Risk analysis of landslides"

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Kyoji, Sassa, Canuti Paolo, International Consortium on Landslides. General Assembly, and United Nations World Conference on Disaster Reduction (2005 : Hyogo, Japan), eds. Landslides: Disaster risk reduction. Berlin: Springer, 2009.

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Kyoji, Sassa, Canuti Paolo, International Consortium on Landslides. General Assembly, and United Nations World Conference on Disaster Reduction (2005 : Hyogo, Japan), eds. Landslides: Disaster risk reduction. Berlin: Springer, 2009.

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C, Jones David K., ed. Landslide risk assessment. London: ICE Publishing, 2014.

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Landslides. Southampton: WIT Press, 2012.

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Teresa, Mrozek. Zagrożenie i ryzyko osuwiskowe w rejonie Szymbarku (Beskid Niski): Landslide hazard and risk for a case-study of Szymbark region (Beskid Niski Mts). Warszawa: Państwowy Instytut Geologiczny--Państwowy Instytut Badawczy, 2013.

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Kyoji, Sassa, ed. Landslides: Risk analysis and sustainable disaster management : proceedings of the First General Assembly of the International Consortium on Landslides. Berlin: Springer, 2005.

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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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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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C, Jones David K., ed. Landslide risk management. London: Thomas Telford, 2004.

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M, Calvi G., Pinho R, and LESSLOSS (Project), eds. LESSLOSS: A European integrated project on risk mitigation for earthquakes and landslides. Pavia: University of Pavia, Structural Mechanics Department, 2004.

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Book chapters on the topic "Risk analysis of landslides"

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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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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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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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Xu, Wen-jie, Yu-xin Jie, and Yu-zhen Yu. "Study on the Breakage Mode and Risk Analysis of Tangjiashan Barrier Dam." In Earthquake-Induced Landslides, 965–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32238-9_105.

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de Vilder, Saskia, Chris Massey, Tony Taig, Biljana Lukovic, Garth Archibald, and Regine Morgenstern. "Quantitative Risk Analysis of Earthquake-Induced Landslides." In Understanding and Reducing Landslide Disaster Risk, 465–70. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60706-7_50.

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Svalova, Valentina. "Landslide Risk Analysis and Assessment for Urbanized Territories." In Advancing Culture of Living with Landslides, 439–45. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53498-5_50.

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Kalsnes, Bjørn, and Vittoria Capobianco. "Use of Vegetation for Landslide Risk Mitigation." In Springer Climate, 77–85. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86211-4_10.

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AbstractLandslide risk management involves several activities, modelling being a required premise for most of them. Modelling of climate-induced landslides include both the analysis of the triggering process, i.e. static slope stability analysis and dynamic propagation (run-out) analysis. These analyses are vital for mapping purposes, as well as for selection of effective means to reduce the landslide risk when this exceeds a certain value of tolerance. With the prospect of increasing rainfall duration and intensity in parts of Europe, the need for further development of modelling tools is evident. In recent years, the use of Nature-Based Solutions (NBS) for mitigation of natural hazards has further demonstrated the need for developing the modelling tools. The use of vegetation as NBS is increasingly being used for erosion protection and shallow landslide mitigation. For slope stability analyses, the use of vegetation makes the modelling more complex for a number of reasons, mostly linked to the influence of vegetation on both the soil–atmosphere interaction (i.e. rainfall interception, evapotranspiration) and the soil hydro-mechanical properties. All effects that are difficult to model due to lack of knowledge and to large variations in time and space. Even though there is an increasing activity in the geotechnical environment to incorporate the effects of vegetation in the modelling for quantifying the change in slope stability (i.e. calculate slope safety factor), the status is far from being at the level of traditional landslide modelling tools. More efforts are therefore needed in the years to come to demonstrate that the use of vegetation as a viable and effective measure in landslide risk mitigation management can be verified in a more quantifiable manner.
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Ahmed, Bayes, S. M. R. Arfanul Alam, Imtiaz Ahmed, and Peter Sammonds. "The Anthropogenic Aggravation of Landslide Disasters in Bangladesh: Key Informants’ Perspectives." In Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022, 385–401. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18471-0_28.

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AbstractLandslide disasters in Bangladesh’s Chittagong hill districts (CHD) put lives, livelihood, and the ecosystem at risk. Therefore, understanding the causes of landslide events in CHD is crucial to preparing and implementing disaster risk reduction (DRR) strategies. The causes of landslides are generally seen through the lenses of physical science. However, to better understand the landslide disaster mechanism, it is essential to explore the human activities that trigger and aggravate the events. This article uses qualitative social science tools and techniques to investigate CHD’s anthropogenic-induced landslide disasters. Forty key informants from diverse professions, ethnicities, communities, and backgrounds were interviewed between 9 June and 3 November 2020. The recorded interviews were translated, transcribed, and thematically analysed in NVivo software. The results show that human-induced landslides in CHD evolve around three broader areas: demography, climate change, and lack of coordination and regulation. First, increased population, hill cutting, deforestation, manipulated agricultural practices, and sand and stone extraction is the leading anthropogenic activities of landslides in CHD. Second, the influx of Rohingya refugees into Bangladesh significantly increased landslide vulnerability. Third, climate change-induced erratic rainfall is leading to more rainfall-induced landslides. Finally, a lack of coordination and regulations among various institutions hinders the DRR process. The short, medium- and long-term recommendations include stopping illegal hill cutting and deforestation, regulating heavy vehicles, increasing coordination, institutionalising early warning systems, conducting massive awareness campaigns, conducting further research, addressing challenges such as lightning, climate migration and conflict, and creating a master plan exclusive for the entire region and coming up with a political consensus for better implementation of the plan.
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Brandolini, P., S. Nosengo, F. Pittaluga, A. Ramella, and S. Razzore. "Methodological Approach in the Analysis of Two Landslides in a Geologically Complex Area: The Case of Varenna Valley (Ligury)." In Floods and Landslides: Integrated Risk Assessment, 357–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-58609-5_24.

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Ávila, Guillermo, and María del Pilar Guzmán. "Landslide Risk Analysis Incorporated to the Land-Use Legislation in Colombia." In Advancing Culture of Living with Landslides, 1061–66. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53498-5_120.

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Conference papers on the topic "Risk analysis of landslides"

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MINNITI, FRANCESCA, GIANDOMENICO FOTI, and GIUSEPPE BARBARO. "ANALYSIS OF AREAS INUNDATED BY TSUNAMIS INDUCED BY EARTHQUAKES AND LANDSLIDES IN THE REGION OF CALABRIA, ITALY." In RISK ANALYSIS 2020. Southampton UK: WIT Press, 2020. http://dx.doi.org/10.2495/risk200121.

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Skrzypczak, Izabela, Wanda Kokoszka, and Janusz Kogut. "The Impact of Landslides on Local Infrastructure and the Environment." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.049.

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Landslides are environmental processes that lead to natural disasters or technical failures, the effects of which usually threaten the life, health and property of people. In the classification of natural disasters and hazards that occur in the world, landslides are in fifth place, both in the number of casualties and material losses. Continuous surveillance and risk assessment is a very important issue in preventing the effects of natural disasters. The paper presents the causes of landslides, the classification of landslides, several examples of landslides and damage caused by landslides. Here, the occurrence of landslides as climatic events is given, as well as geological and anthropogenic factors of landslides. The paper indicates risk assessment methods in case of landslide hazard. The risk analysis developed here is presented for selected landslides from the Subcarpathian province.
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Fabbri, A. G., M. R. Mauriello, and C. J. Chung. "Using blind-tests for database evaluation in the prediction of rotational-translational landslides in the Tirano North area, northern Italy." In RISK ANALYSIS 2012. Southampton, UK: WIT Press, 2012. http://dx.doi.org/10.2495/risk120231.

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Porter, Michael, Joel Van Hove, and Pete Barlow. "Analysis of Dynamic System Risks Where Pipelines Cross Slow-Moving Landslides." In 2022 14th International Pipeline Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/ipc2022-86982.

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Abstract Pipelines are often constructed across dormant or normally slow-moving landslides. The potential for pipeline failure in response to landslide movement depends on several factors. These include the likelihoods of different landslide velocities being realized, the probabilities that movements physically impact the pipeline, the capacity of the pipeline to accommodate landslide displacements, and the ability of operators to detect and respond to deteriorating conditions. Each of these factors is difficult to predict but estimating the probabilities of landslide velocity transitions is particularly challenging. In this paper we review a conceptual approach to predict landslide velocity and displacement using Markov chains that combine geomorphic evidence of long-term landslide behaviour with current estimates or measurements of landslide velocity. A framework is proposed to combine time-dependent estimates of landslide displacement and the deterioration of pipeline strain capacity to estimate the probability of pipeline failure over time and in response to potential changes in landslide velocity. The expected efficacy of monitoring programs and trigger action response plans is accounted for in the vulnerability model.
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Han, Bing, Jianbin Hao, Hongyuan Jing, Jianping Liu, and Zhangzhong Wu. "Analysis of Stresses on Buried Pipeline Subjected to Landslide Based on Numerical Simulation and Regression Analysis." In 2010 8th International Pipeline Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/ipc2010-31043.

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The integrity of oil and gas pipelines is seriously impacted by landslides in tough terrain in western China. The quantitative assessment technology is an effective method for pipelines risk management under threat of geohazard. In order to establish the vulnerability assessment indexes system of pipelines subjected to landslides, the numerical simulation based on the finite element method is adopted to study the pipeline axial stresses. There are five kinds of calculation schemes considered by changing the geometrical sizes and inclination angles of landslide, the pipeline length passing through landslide and buried depth of pipeline, and the axial stresses and bending moments of pipeline can be obtained by means of numerical simulation for different calculation conditions under the every kind of scheme. In the study, regression analysis method is used to derive the axial stress equation of pipeline from calculation results of numerical simulation by taking into consideration the above five indexes. The feasibility and practicality of this equation are verified by the given example of a pipeline passing through a certain landslide in southwest China. The comparison analysis between the monitoring data and calculation results shows that the calculation values agree well with the monitoring data of pipeline axial stresses.
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Vásconez, Fabián, Alberto Velasteguí, Jaime Núñez, Patricio Torres, Paco Riofrío, Hernán Ponce, Raul Bermeo, and Jorge Quishpe. "Geo-Hydrodynamic Risk Management: Villano-Baeza Pipeline System." In ASME-ARPEL 2021 International Pipeline Geotechnical Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/ipg2021-64909.

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Abstract The main areas susceptible to the occurrence of landslides, which imply a threat against the pipeline system, are identified, mapped and classified according to their degree of danger, for which the kinematics of each landslide is considered its intensity and probability of occurrence. In a second phase, detailed geological, geotechnical and geophysical investigations of the main landslides, both active and potential, are carried out. A monitoring program of the unstable slopes through inclinometers, piezometers, strain-gauges, crack meters is carried out in order to determine the degree of activity of the landslides. Among the monitoring techniques, PCM (Pipeline Current Mapper) has been incorporated. Additionally, a record and analysis of trigger factors such as rainfall and seismic activity is carried out. As an additional control system, periodic review of multi-temporal satellite images has been incorporated, which provides a macro vision of the evolution of geodynamic, hydrodynamic and anthropic processes that could affect the integrity of the pipeline any time. Of importance for management is the work of preventive maintenance of the Right of Way, trying to identify and manage the geodynamic processes in a timely manner, before they become uncontrollable. As a result, we have an Oil Pipeline System that has not suffered any rupture, and without consequently oil spills, in more than 21 years of operation.
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Rossi, M., A. C. Mondini, S. Luciani, D. Kirschbaum, D. Valigi, and F. Guzzetti. "Probabilistic Prediction of Landslides Induced by Rainfall." In Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling, and Analysis (ISUMA). Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413609.141.

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Li, Bing, Huiming Tang, and Wenping Gong. "Probabilistic Analysis of Post-Failure Runout Behavior of Landslides." In Proceedings of the 7th International Symposium on Geotechnical Safety and Risk (ISGSR 2019). Singapore: Research Publishing Services, 2019. http://dx.doi.org/10.3850/978-981-11-2725-0-is1-5-cd.

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Bernat Gazibara, Sanja, Ksenija Cindrić, Marko Erak, Martin Krkač, Marin Sečanj, Petra Đomlija, Željko Arbanas, and Snježana Mihalić Arbanas. "Landslide hazard analysis in national-scale for landslide risk assessment in Croatia." In 4th Regional Symposium on Landslides in the Adriatic - Balkan Region. Društvo za geotehniku u Bosni i Hercegovini, 2019. http://dx.doi.org/10.35123/resylab_2019_29.

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Fabbri, A. G., J. Remondo, C. Ballabio, S. Poli, C. F. Chung, and H. J. Scholten. "Occurrence neighbourhoods and risk assessment from landslide hazard in northern Spain." In RISK ANALYSIS 2008. Southampton, UK: WIT Press, 2008. http://dx.doi.org/10.2495/risk080041.

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Reports on the topic "Risk analysis of landslides"

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Helms, J. Quantitative Risk Analysis. Office of Scientific and Technical Information (OSTI), February 2017. http://dx.doi.org/10.2172/1345342.

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Respatiadi, Hizkia. Containing Floods and Landslides (Case Study of Alternative Risk Management in Kejajar Sub-District, Wonosobo, Central Java. Jakarta, Indonesia: Center for Indonesian Policy Studies, 2017. http://dx.doi.org/10.35497/270475.

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VanDine, D. Risk management, Canadian technical guidelines and best practices related to landslides: a national initiative for loss reduction. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2012. http://dx.doi.org/10.4095/289863.

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Stedinger, Jery, David C. Heath, and Kay Thompson. Risk Analysis for Dam Safety Evaluation: Hydrologic Risk. Fort Belvoir, VA: Defense Technical Information Center, March 1996. http://dx.doi.org/10.21236/ada316926.

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Shedrow, C. B. DWPF risk analysis summary. Office of Scientific and Technical Information (OSTI), October 1990. http://dx.doi.org/10.2172/6215794.

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Porter, M., and N. Morgenstern. Landslide risk evaluation, Canadian technical guidelines and best practices related to landslides: a national initiative for loss reduction. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2013. http://dx.doi.org/10.4095/292234.

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Engel, David W. Initial Decision and Risk Analysis. Office of Scientific and Technical Information (OSTI), February 2012. http://dx.doi.org/10.2172/1062507.

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Haimes, Yacov Y., Raja Petrakian, Per-Ola Karlsson, and James Mitsiopoulos. Multiobjective Risk Partitioning: An Application to Dam Safety Risk Analysis. Fort Belvoir, VA: Defense Technical Information Center, April 1988. http://dx.doi.org/10.21236/ada197011.

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Rish, W. R. Approach to uncertainty in risk analysis. Office of Scientific and Technical Information (OSTI), August 1988. http://dx.doi.org/10.2172/7141098.

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Stenner, R. D., D. L. Strenge, and J. W. Buck. RAMS (Risk Analysis - Modular System) methodology. Office of Scientific and Technical Information (OSTI), October 1996. http://dx.doi.org/10.2172/398559.

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