Dissertations / Theses on the topic 'Landsliding'
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Pickett, Mark Thomas. "Coastal Landsliding in West Cornwall : Occurrences, and Mechanisms." Thesis, University of Exeter, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.499614.
Full textTrierweiler, Annette Marie. "The Role of Landsliding in Fluvial Carbon Transport." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1280174471.
Full textAgnello, Tim Joseph. "Land Use and Landsliding in Price Hill, Cincinnati, Ohio." University of Cincinnati / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1018293568.
Full textMassari, Remo. "Modelling susceptibility to landsliding in the Umbro-Marchean Apennines, Italy." Thesis, University of Southampton, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243165.
Full textIida, Tomoyuki. "A stochastic hydro-geomorphological model for shallow landsliding due rainstorm." 京都大学 (Kyoto University), 1999. http://hdl.handle.net/2433/157184.
Full textKyoto University (京都大学)
0048
新制・論文博士
博士(理学)
乙第10072号
論理博第1351号
新制||理||1115(附属図書館)
UT51-99-G549
(主査)教授 奥西 一夫, 教授 千木良 雅弘, 教授 佐々 恭二
学位規則第4条第2項該当
Robinson, Thomas Russell. "Assessment of coseismic landsliding from an Alpine fault earthquake scenario, New Zealand." Thesis, University of Canterbury. Department of Geological Sciences, 2014. http://hdl.handle.net/10092/10029.
Full textKhattak, Ghazanfar A. "Evolution of earthquake triggered landslides in the Kashmir Himalaya, NW Pakistan." University of Cincinnati / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1250617592.
Full textMarc, Odin [Verfasser], and Niels [Akademischer Betreuer] Hovius. "Earthquake-induced landsliding : earthquakes as erosional agents across timescales / Odin Marc ; Betreuer: Niels Hovius." Potsdam : Universität Potsdam, 2016. http://d-nb.info/1218400951/34.
Full textOliver, Robert Craig. "A geotechnical characterisation of volcanic soils in relation to coastal landsliding on the Maungatapu Peninsula, Tauranga, New Zealand." Thesis, University of Canterbury. Geological Sciences, 1997. http://hdl.handle.net/10092/6667.
Full textWatakabe, Takuma. "Controlling Factors for Hillslope Denudation by Soil Formation and Shallow Landsliding in Low-relief Landscapes under Contrasting Lithological Conditions." Kyoto University, 2020. http://hdl.handle.net/2433/253100.
Full text伍潔瑩 and Kit-ying Ng. "A geomorphological investigation of landslides at Tai To Yan, Hong Kong, with special reference to relationships between landsliding anddrainage development." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B31227715.
Full textKuhlmann, Jannis [Verfasser], Katrin [Akademischer Betreuer] Huhn, and Fabio [Akademischer Betreuer] Trincardi. "Shelf architecture and submarine landsliding at Gela Basin (Strait of Sicily) / Jannis Kuhlmann. Gutachter: Katrin Huhn ; Fabio Trincardi. Betreuer: Katrin Huhn." Bremen : Staats- und Universitätsbibliothek Bremen, 2014. http://d-nb.info/1072226561/34.
Full textLeith, Kerry John. "The role of deep-seated landsliding in the geomorphic evolution of the Esk Valley, Hawke's Bay: an innovative approach to hazard evaluation." Thesis, University of Canterbury. Geology, 2003. http://hdl.handle.net/10092/6370.
Full textWilliam, Henry Schulz. "Beyond Hydrostatic Pore-Water Pressure - Variable Effects of Groundwater on Landslide Initiation and Mobility." Doctoral thesis, Kyoto University, 2020. http://hdl.handle.net/2433/245815.
Full textMorandi, Martina Chiara <1983>. "Land use management in mountainous areas: combining ground-based and EO (Earth Observation) data to investigate the shallow landsliding susceptibility in the Duron valley (Trento, Italy)." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amsdottorato.unibo.it/5633/.
Full textIn tutto l'arco alpino, le frane superficiali rappresentano un rischio estremamente attuale che ogni anno causa ingenti danni alle infrastrutture, alle proprietà e, nei casi più tragici, provocano perdite umane. Le frane superficiali rappresentano un importante fattore di evoluzione del paesaggio alpino in quanto provocano perdita di suolo e modificano quindi la distribuzione dei terreni adibiti al pascolo. L'analisi dei meccanismi di innesco delle frane superficiali e la loro distribuzione, deve essere condotta partendo da una profonda conoscenza dei parametri geomeccanici che caratterizzano il suolo e soprassuolo. Nell'area di studio, un bacino montano situato tra i 1900 e i 2400 m s.l.m., la maggior parte dei versanti è ricoperta da un fitto manto erboso, il Nardetum; questa copertura vegetale tuttavia, presenta degli evidenti pattern di degradazione, causati dall'intesa attività pastorizia. Nelle zone in cui il manto erboso è danneggiato, le resistenze calano drasticamente, aumentando quindi la vulnerabilità al franamento superficiale. L'obiettivo di questo lavoro è quello di combinare la suddivisione del territorio, fatta attraverso tecniche di classificazione automatica delle immagini satellitari alle proprietà geomeccaniche e geotecniche delle diverse coperture. La caratterizzazione di queste proprietà del suolo e soprassuolo è stata condotta utilizzando sia strumenti e metodi tradizionali, sia tecniche innovative e strumenti sperimentali. Infine per studiare la distribuzione delle frane superficiali, i dati raccolti in campagna e suddivisi nelle diverse classi di copertura, sono stati inseriti in modelli di stabilità dei versanti.
Stephen-Brownie, Charlotte Jane. "Earthquake-Induced Ground Fissuring in Foot-Slope Positions of the Port Hills, Christchurch." Thesis, University of Canterbury. Geological Sciences, 2012. http://hdl.handle.net/10092/9285.
Full textChen, Yun-Xian, and 張雲翔. "Landsliding Potential Analysis on Takeng Area, Taichung." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/91005322552506787632.
Full text國立中央大學
應用地質研究所
92
Frequent crustal movements and subtropical climate lead to the high sliding potential of many slopes in Taiwan, area slope stability analysis offers valuable design data to urban planning and large scale engineering projects. This study aims to analyze the factors that will contribute to sliding potential respectively, and an integrated evaluation is proposed for Takeng, Taichung. Factors with different grading and weighting are quantified statistically, GIS is used to process large spatial data, and a practical and efficient method in evaluating area slope stability is presented. Factors contributing sliding potential are extracted from topographic maps, geologic maps, and all the available sources. Field geological investigation and Schmidt hammer impact tests are conducted as an assistance. Grading and weighting of the factors are quantified by inverse analysis, all the data are then proceed to a further integrated calculation to obtain the landslide susceptibility map of the area. The basic concept in the analysis is to set each grid point as (x,y,z) where x and y are the coordinates, z is the evaluating grade of a certain factor. By integrating all the effects from other factors, a new z-value representing its sliding potential grade will thus be obtained. Study results show that the sliding in the middle and west parts of the area is mainly affected by fault structure, that in the northeast part is highly related to rock properties, while sliding in central and east parts is the results of strong weathering and erosion. Rock strengths in the area are evaluated from Schmidt hammer rebound values, high rock strength distribution lies in the locations with topographic highs. The result show that the high topography can be reflected as high rock induration.
FOSTER, JONATHAN MAXWELL. "FIELD MONITORING OF LANDSLIDE DEFORMATION USING LOW ALTITUDE PHOTOGRAMMETRY." Thesis, 2012. http://hdl.handle.net/1974/6993.
Full textThesis (Master, Civil Engineering) -- Queen's University, 2012-01-30 16:20:27.13
Prancevic, Jeffrey Paul. "Sediment Mobility in Steep Channels and the Transition to Landsliding." Thesis, 2016. https://thesis.library.caltech.edu/9785/7/PrancevicThesis.pdf.
Full textChia-MingChang and 張家銘. "Toward Connecting Failure Mechanism — Investigation of Precipitation Induced Mudstone Landsliding." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/52aw34.
Full text國立成功大學
土木工程學系
106
On September 28, 2016, due to the typhoon Megi, mudstone slope failed in in Yanchao district, Kaohsiung city, which damaged a building and buried three lives. To investigate the mechanism of the rainfall-induced mudstone landsliding, the field investigation was used to evaluate the geological conditions of the study area and the experiments were conducted to obtain the characteristics of geomaterials. Then, finite element analysis (FEA) and discrete element analysis (DEA) were employed to explore the driving mechanism in the prefailure regime and the dynamic runout process in the postfailure regime, respectively. In FEA, the driving mechanism was revealed in terms of the pore water pressures, saturations, and displacement of the sliding zone. The onset of the rainfall-induced landsliding was found by the rapid change of source displacement (RCSD). The result indicated that the variation of saturation and pore water pressure at the monitor points near the surface was earlier than other locations, because rainfall first passes through the monitoring points near the surface; The likely failure timing was ascertained as 28 hr from the beginning of the typhoon rainfall. In DEA, based on the result of the FEA, the estimated seepage force was obtained. To account for water infiltration associated with the dynamic runout process of the landsliding and reconstruct the dynamic runout process of the landsliding, the reduced sliding friction coefficient in DEA was examined. Based on the results, satisfactory agreement between the numerical analysis and landslide behavior was realized. Water infiltration and transition in steepness play significant roles in the behavior of the dynamic runout process. The landsliding exhibited a maximum speed of 4.41 m/s and decelerated as it reached a gentler slope. Overall, the study indicated that the combination of FEA and DEA can be utilized to investigate the failure mechanism of landslides and provide useful insights. The approach can be a high potential to investigate many other geotechnical problems and help us better understand their mechanism.
Chen, Hui-Hua, and 陳蕙華. "Application of Satellite Imagery for Nan-Chin Road Potential Landsliding Analysis." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/05626617398208860288.
Full text逢甲大學
環境資訊科技研究所
93
With the increasing of population and economic, the flats ground became lessen. Developing of mountainside became a trend ,but the stability of ground was destroyed. Hence every typhoon and torrential rain usually cause collapsed and mudflows on mountainside area which was seriously harm local residents. IF we can predict which area is dangerous than others, we can prevent disasters and reduce attacks. Nan-Quin road is the main tourism road in Xin-Zhu. Where never happened any serious natural disasters. But during Elly typhoon, happened about ten disasters between Xhu-Dong and Song-Ben. That section is main road to Wu-Feng village. Considering the important of tourism and inhabits, we use this section as object in the research. Using two different satellite images and NDVI values to judge where happen collapsed. Combine collapse image and every trend factor image, we can get each factor’s level and damage situation. And we can divide the road into six levels: stabile, low, low-medium, medium, medium-high and high. Finally we draw the trend of collapsing map for government departments. In the research we find slope, geology and height have greater influence of stability. Each factor we can sort in large to small as follow: slope, geology, height, land-using, aspect, distance to water and distance to road. Whole research area mostly distribute in medium trend area. High trend area distribute around rivers.
Lin, Ming-Yi, and 林明義. "A Study of Soil Water Characteristics on Chiu-fen-er-shan Landsliding Area." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/93560662633113304833.
Full text國立中興大學
水土保持學系
88
The objective of this research is to study the soil water characteristics on Chiu-fen-er-shan landslidung area. The soil texture on the experimental field includes sandy loam, sand clay loam, and clay. The water retention curves of different soil texture were determined by measured water content and water potential .The model suggested by Van Genuchten was applied to express the water characteristics of these soils. The parameters of this model of different soil texture were determined with the experimental data by curve fitting technology. The equations of water characteristic curves of different soil samples are as following: Sample 1. θ(h) = 0.03483+0.46617/[1+(αh)1.15]0.1304 Sample 2. θ(h) = 0.03484+0.39116/[1+(αh)1.45]0.3103 Sample 3. θ(h) = 0.03151+0.38349/[1+(αh)1.15]0.1304 Sample 4. θ(h) = 0.03168+0.36432/[1+(αh)1.15]0.1304 Sample 5. θ(h) = 0.03336+0.39764/[1+(αh)1.55]0.3548 Sample 6. θ(h) = 0.03388+0.41712/[1+(αh)1.40]0.2857 Sample 7. θ(h) = 0.02451+0.40449/[1+(αh)1.50]0.3333 The theory developed by Mualem was used to predict the unsaturated hydraulic conductivity.
Chen, Yen-an, and 陳彥安. "Application of Digital Image Correlation Method to Identify the Landsliding based on Satellite Image." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/31477500094119556863.
Full text國立高雄大學
土木與環境工程學系碩士班
99
The satellite image has following characteristics: short capture period, ability to detect the change of the earth surface rapidly, large coverage, large amount of information, multiple spectra and the ability of repeating observations. Therefore, instead of the traditional method of site investigation, which is limited by weather conditions, expenditure, and traffic situation, the remote sensing technology based on satellite image is gradually used to determine the occurrence locations of landslide disasters and their quantities. In this study, we apply the digital image correlation method to evaluate the correlation of two multi-spectral satellite images before and after disasters. A threshold value is used to determine whether the new landslides occur after the disasters. The effect of applying DIC method to identify the landslide is then discussed. The algorithm of digital images correlation is to find out the highest correlation. However, the change of the earth surface will induce a difference between multi-spectral signal of the satellite images before and after the landslide. Therefore, the DIC method can be easily modified to determine the occurrence of landslides. The position with lower correlation between two images will be found out. There exist also many misjudgment situations in the result We use the characteristics of the Normalized Difference Vegetation Index (NDVI) and the Digital Elevation Model (DEM) to reduce the rate of misjudgment. In this study, the analysis procedure is divided into two steps. The whole area is roughly analyzed with a larger subset at first. Then, the area, which is judged to be a landslide area in the rough analysis, is then closely analyzed with a small subset. The result shows that the accuracy rate can reach 76.58% in the analysis carried out with a big subset 16*16 pixels and threshold value 0.997 in the rough analysis and a small subset 5*5 pixels and threshold value 0.998 in the close analysis. This means that a lot of new occurrence landslide is identified. For reducing the rate of misjudgment, we use NDVI to filter the misjudgment region, which is uncovered before the disaster and vegetative restorative after the disaster. DEM is also applied to filter the misjudgment region, which lies around the smooth riverbed and village. This study shows that DIC method can be applied to identify the landslides based on the satellite images before and after the landslide.
Hsiao, Chih-Yun, and 蕭芝昀. "A study on the Changes and Characteristics of Landslidein Shoufong River Catchments." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/04621327829770655943.
Full text國立東華大學
自然資源管理研究所
96
Shoufong river is one of branches of Hualien river. Its steep terrain, fragile geology and heavy rainfall characteristics bring flooding, gully, bank erosion and surface erosion. Which has been occurred a great deal of sediment hazards. Relying on the recent advances in SPOT satellite images from year of 1996, 2002, 2005 and 2007 and geographic information system (GIS) techniques, this study aims to map the changes and characteristics of landslide regions. According to the degree of potential hazard from landslides this study grouped four parameters to analysis collapses and vegetation recovery. The four parameters are slope, aspect, elevation and geography. This study provides landslide susceptibility maps by adopting Instability Index Method to analyze the potential of slope collapse. The result of this research reveals that: (1)From year 1996 to 2007, the 5 tremendous collapsed regions are previous collapsed regions. These collapsed regions because of the impact of geography and slope covered with less ratio of vegetation. Furthermore, the scales and scopes of these collapsed regions kept on enlarge. Within consecutive years, sizes of newer collapsed regions are co-related with quantities of rainfall brought about by typhoons. (2)Collapses are happened repeatedly on certain landforms and geographical conditions. (3)It is an effective way for predicting and evaluating potential collapsed regions by using Instability Index method to product landslide susceptibility maps. By analyzing the relationship among collapsed regions the ratio of vegetation cover mostly located at east-south slope. The highest recovering rate of vegetation is flat slop regions and the lower elevation regions. Besides, these recovered regions are located at slopes between 15° and 25° and at elevation below 400 meters. Moreover, the highest recovering rates are made by black schist of Tananao Schist and basic igneous rock. The most significance parameter influence collapses according to Instability Index method, Result of this research shows that geography and slope are mainly cause of the collapses and those collapsed regions are mostly located at slopes between 35° and 45°. Those highest degree of potential collapsed regions are made by argillite, slate and phyllite in lushan formation.