Littérature scientifique sur le sujet « SEISMIC SUSCEPTIBILITY »
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Articles de revues sur le sujet "SEISMIC SUSCEPTIBILITY"
Srinivasan, R. « Geology and Seismic Susceptibility of Chennai City ». Journal of the Geological Society of India 97, no 11 (novembre 2021) : 1470. http://dx.doi.org/10.1007/s12594-021-1890-0.
Texte intégral., C. Ravi Kumar Reddy. « ASSESSMENT OF SEISMIC SUSCEPTIBILITY OF RC BUILDINGS ». International Journal of Research in Engineering and Technology 03, no 28 (25 décembre 2014) : 38–41. http://dx.doi.org/10.15623/ijret.2014.0328008.
Texte intégralLv, Wei, et Lihong Zhang. « The Seismic Response of Ultra-High Voltage Gas-Insulated Transmission Lines ». Journal of Physics : Conference Series 2557, no 1 (1 juillet 2023) : 012065. http://dx.doi.org/10.1088/1742-6596/2557/1/012065.
Texte intégralChen, Xiao-li, Xin-jian Shan, Ming-ming Wang, Chun-guo Liu et Na-na Han. « Distribution Pattern of Coseismic Landslides Triggered by the 2017 Jiuzhaigou Ms 7.0 Earthquake of China : Control of Seismic Landslide Susceptibility ». ISPRS International Journal of Geo-Information 9, no 4 (27 mars 2020) : 198. http://dx.doi.org/10.3390/ijgi9040198.
Texte intégralKolawole, F., C. S. Johnston, C. B. Morgan, J. C. Chang, K. J. Marfurt, D. A. Lockner, Z. Reches et B. M. Carpenter. « The susceptibility of Oklahoma’s basement to seismic reactivation ». Nature Geoscience 12, no 10 (16 septembre 2019) : 839–44. http://dx.doi.org/10.1038/s41561-019-0440-5.
Texte intégralSom, S. K., P. Dasarwar, Murali Mohan, J. N. Hindayar, N. Thrideep Kumar, S. N. Chowdhuri, G. S. Darmwal et Harbans Singh. « Comparing seismic susceptibility models of the Himalayan terrain ». Journal of Seismology 20, no 3 (2 mars 2016) : 827–63. http://dx.doi.org/10.1007/s10950-016-9562-z.
Texte intégralYamaguchi, Shui, et Mio Kasai. « A new index representative of seismic cracks to assess post‐seismic landslide susceptibility ». Transactions in GIS 26, no 2 (17 janvier 2022) : 1040–61. http://dx.doi.org/10.1111/tgis.12900.
Texte intégralFang, Haoran, Yun Shao, Chou Xie, Bangsen Tian, Yu Zhu, Yihong Guo, Qing Yang et Ying Yang. « Using Persistent Scatterer Interferometry for Post-Earthquake Landslide Susceptibility Mapping in Jiuzhaigou ». Applied Sciences 12, no 18 (14 septembre 2022) : 9228. http://dx.doi.org/10.3390/app12189228.
Texte intégralTaufik, Imam. « RAPID SEISMIC SCREENING PADA JEMBATAN DI KABUPATEN PATI MENGGUNAKAN METODE FILIATRAULT ». Jurnal HPJI 9, no 1 (30 janvier 2023) : 49–56. http://dx.doi.org/10.26593/jhpji.v9i1.6440.49-56.
Texte intégralTanyaş, Hakan, Dalia Kirschbaum et Luigi Lombardo. « Capturing the footprints of ground motion in the spatial distribution of rainfall-induced landslides ». Bulletin of Engineering Geology and the Environment 80, no 6 (18 avril 2021) : 4323–45. http://dx.doi.org/10.1007/s10064-021-02238-x.
Texte intégralThèses sur le sujet "SEISMIC SUSCEPTIBILITY"
Balal, Onur. « Probabilistic Seismic Hazard Assessment For Earthquake Induced Landslides ». Master's thesis, METU, 2013. http://etd.lib.metu.edu.tr/upload/12615453/index.pdf.
Texte intégrals Sliding Block (NSB) Analysis are widely used to represent the stability of a slope under earthquake shaking. The outcome of this analogy is the slope displacement where larger displacement values indicate higher seismic slope instability risk. Recent studies in the literature propose empirical models between the slope displacement and single or multiple ground motion intensity measures such as peak ground acceleration or Arias intensity. These correlations are based on the analysis of large datasets from global ground motion recording database (PEER NGA-W1 Database). Ground motions from earthquakes occurred in Turkey are poorly represented in NGA-W1 database since corrected and processed data from Turkey was not available until recently. The objective of this study is to evaluate the compatibility of available NSB displacement prediction models for the Probabilistic Seismic Hazard Assessment (PSHA) applications in Turkey using a comprehensive dataset of ground motions recorded during earthquakes occurred in Turkey. Then the application of selected NSB displacement prediction model in a vector-valued PSHA framework is demonstrated with the explanations of seismic source characterization, ground motion prediction models and ground motion intensity measure correlation coefficients. The results of the study is presented in terms of hazard curves and a comparison is made with a case history in Asarsuyu Region where seismically induced landslides (Bakacak Landslides) had taken place during 1999 Dü
zce Earthquake.
Kraft, Jason Edmund. « Development of liquefaction susceptibility and hazard maps for the islands of Jamaica and Trinidad ». Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47676.
Texte intégralAndersson, Magnus. « 3D Structure and Emplacement of the Alnö Alkaline and Carbonatite Complex, Sweden : Integrated Geophysical and Physical Property Investigations ». Doctoral thesis, Uppsala universitet, Geofysik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-248113.
Texte intégralMaly, Mascimiliano de Los Santos. « Avaliação da técnica de eletrorresistividade no mapeamento de sedimentos rasos associados a ocorrência de gás no Saco do Mamanguá e na Enseada de Paraty-Mirim ». Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/21/21136/tde-10102017-174424/.
Texte intégralGiven the constant pressure exerted over coastal environments by different human activities, in addition to the need for more knowledge concerning environmental issues, particularly with respect to greenhouse gases generation in marine sediments have generated an increasing demand for more information regarding the generation, accumulation and seepage of these gases. Faced with this challenge, there is a necessity to develop new applications to geophysical tools that provide more information than merely the acoustic properties of the medium. This work aims to the evaluation of the geoelectric method in stratigraphic mapping and the detection of geoelectric features of shallow gas. For that purpose, geoelectric sections acquired in the ria of Saco do Mamanguá and Paraty-Mirim were compared with high resolution seismic profiles and resistivity measurements in sediment samples. Presence of gas bubbles inside the sedimentary matrix was simulated and resistivity variation analyzed against the decrease of interstitial water salinity. It was observed that a bubble volume of 0.20% of the total volume is sufficient to increase the resistivity by a factor of 1.8. It was also confirmed that the sample resistivity is dependent on interstitial water resistivity. Magnetic susceptibility measurements showed that resistivity variation is not due to mineralogical variations. The geoelectric sections showed good correlation with the seismic profiles up to 9 m depth from the water surface, where occurs a geoelectric layer of resistivity <0.35 Ohm.m. At this depth, it is observed an interface between resistivity layers possibly caused by a change in water or organic matter content. This interface matches the top of the acoustic turbidity produced by shallow gas occurrences.
MERCURIO, Claudio. « Landslides susceptibility stochastic modelling under earthquakes and rainfalls triggering : applications to 2001 earthquakes (13th January and 13th February) and 2009 tropical storm (IDA/96E) in El Salvador ». Doctoral thesis, Università degli Studi di Palermo, 2022. https://hdl.handle.net/10447/574407.
Texte intégralRoberts, Julia Nicole. « Direct in-situ evaluation of liquefaction susceptibility ». Thesis, 2014. http://hdl.handle.net/2152/25844.
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Lin, Po-Wei, et 林柏維. « The Effect of Cumulative Horizontal Seismic Acceleration on Landslide susceptibility with Logistic Regression Model ». Thesis, 2010. http://ndltd.ncl.edu.tw/handle/52518279559216322567.
Texte intégral國立臺灣大學
生物環境系統工程學研究所
98
Taiwan is located in the Western Pacific typhoon zone, and typhoons and its inducing heavy rains often result in different scale of landslides. Hence, rainfall and other hydrologic factors, as well as special geographic, geologic factors in Taiwan are selected as landslide factors. Even though, the topic about thousands of earthquakes a year might increase the probability and scale of landslides is seldom cared about by researchers. Therefore, this study assumes that every earthquake will affect the geological structure, causes structural damages and uses cumulative horizontal seismic acceleration to represent the cumulative energy of earthquakes. That is to consider the potential earthquake damage Not destruction of the external to explore the effect of earthquakes on landslides. Is it possible that seismic factor can increase the accuracy of landslide susceptibility model? This research will discuss about it. To understand how the seismic factor influences the landslide susceptibility model, we collected all landslides area after Typhoon Aere in 2004, which is used as a baseline of landslide. We also collected Cumulate Horizontal Peak Ground Acceleration of sixteen events of seismic disasters from 1991 to 2004 in Taiwan, the DEM from SWCB in 2004 and average annual rainfall from 2000 to 2004. In this study, we investigate eleven factors of landslides. And, GIS and Logistic regression are used to get two landslide susceptibility models, which are carried out with and without seismic factor. Meanwhile, five kinds of test methods such as classification error matrix, likelihood ratio test, analogous R2 index, simple statistical indicators and the ROC curve are calculated to determine how the seismic factor affect the landslide susceptibility model. Then, the landslide data in 2003 and 2006, and Shihmen Reservoir landslide locations after Typhoon Sinlaku in 2008 are collected to evaluate the accuracy of landslide susceptibility model. Finally, the spatial distribution of landslide in Taiwan are plotted and compared with the result of Logistic regression, and exploration of the relation between landslide and landslide factors. The result showed that the landslide susceptibility model which adds seismic factor is better on predicting the occurrence of landslide. So it showed that the assessment of the landslide susceptibility with historical data must consider the effect of the seismic factor to avoid misjudge the occurrence of landslide in earthquake-prone area.
VISHWAKARMA, ADITYA. « ANALYSIS OF SEISMIC SUSCEPTIBILITY OF AN IRREGULARLY PLANNED SETBACK STRUCTURE WITH A SOFT STOREY ON SLOPING TERRAIN AND PLAIN TERRAIN ». Thesis, 2023. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19972.
Texte intégralChapitres de livres sur le sujet "SEISMIC SUSCEPTIBILITY"
Cudmani, Roberto. « Soil Liquefaction : Mechanism and Assessment of Liquefaction Susceptibility ». Dans Seismic Design of Industrial Facilities, 485–97. Wiesbaden : Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-658-02810-7_41.
Texte intégralChe, Ailan, Hanxu Zhou, Jinchang Chen, Yuchen Wu et Ziyao Xu. « Seismic Landslide Susceptibility Assessment Based on Seismic Ground Motion and Earthquake Disaster Analysis ». Dans Proceedings of the 4th International Conference on Performance Based Design in Earthquake Geotechnical Engineering (Beijing 2022), 327–41. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11898-2_17.
Texte intégralHeron, Charles, Stuart Haigh et Gopal Madabhushi. « Susceptibility of Shallow Foundation to Rocking and Sliding Movements During Seismic Loading ». Dans Seismic Evaluation and Rehabilitation of Structures, 407–24. Cham : Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00458-7_23.
Texte intégralLiu, Jian Guo, Philippa J. Mason, Eric Yu, Meng-Che Wu, Tang Chuan, Huang Runqiu et Liu Hanhu. « Earthquake Damage Zone GIS Modelling : A Modulation Between Co-Seismic Deformation and Landslide Susceptibility ». Dans Landslide Science and Practice, 269–77. Berlin, Heidelberg : Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31427-8_35.
Texte intégralVelapgy, Madhu Mohan, et E. S. M. Suresh. « Geo-Factor Inference Modelling with Empirical Susceptibility Weights Approach for GIS-Based Seismic Hazard Mapping of Thiruvananthapuram City ». Dans Lecture Notes in Civil Engineering, 433–49. Singapore : Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1459-3_35.
Texte intégralWasowski, Janusz, Vincenzo Del Gaudio, Domenico Casarano, Piernicola Lollino et Sandro Muscillo. « Local Scale Seismic Landslide Susceptibility Assessment Based on Historic Earthquake Records Combined with Accelerometer Monitoring and Ambient Noise Data ». Dans Earthquake-Induced Landslides, 11–20. Berlin, Heidelberg : Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32238-9_2.
Texte intégralAhmad, Mahmood, Xiaowei Tang, Feezan Ahmad, Marijana Hadzima-Nyarko, Ahsan Nawaz et Asim Farooq. « Elucidation of Seismic Soil Liquefaction Significant Factors ». Dans Earthquakes - From Tectonics to Buildings. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97278.
Texte intégralMiao, Zelang, Minghui Pu, Yueguang He, Ke Li, Renfeng Peng, Shuai Chen, Changbo Jiang, Bin Deng et Zhibin He. « Evaluation of Seismic Landslide Susceptibility by Integrating Statistical Learning Model and Newmark Model—A Case Study of the Wenchuan Earthquake ». Dans Advances in Transdisciplinary Engineering. IOS Press, 2021. http://dx.doi.org/10.3233/atde210171.
Texte intégralGhani, Sufyan, et Sunita Kumari. « Liquefaction susceptibility of high seismic region of Bihar considering fine content ». Dans Basics of Computational Geophysics, 105–20. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-12-820513-6.00012-6.
Texte intégralMiao, T., et M. Wang. « Can co-seismic landslide susceptibility predict subsequent landslides after major earthquake ? » Dans Environmental Science and Information Application Technology, 141–46. CRC Press, 2015. http://dx.doi.org/10.1201/b18559-24.
Texte intégralActes de conférences sur le sujet "SEISMIC SUSCEPTIBILITY"
Tao, Shu, Deyong Hu, Dongjian Xue et Jian Lian. « Landslide susceptibility assessment in active seismic zone—With a case study of Wenchuan ». Dans IGARSS 2010 - 2010 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2010. http://dx.doi.org/10.1109/igarss.2010.5650140.
Texte intégralHitchcock, Christopher, Stuart Nishenko, Chih-Hung Lee, Joseph Sun, Sean Sundermann, Mark Zellman et Robert Givler. « GIS-Based Seismic Hazard Mapping for Pipeline Integrity Management ». Dans 2006 International Pipeline Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/ipc2006-10351.
Texte intégralGershtein, Mark. « Rehabilitation of Pipelines in Seismic Regions ». Dans 1996 1st International Pipeline Conference. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/ipc1996-1935.
Texte intégralZaleski, Martin, Gerald Ferris et Alex Baumgard. « Near-Real-Time Seismic Monitoring for Pipelines ». Dans 2018 12th International Pipeline Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/ipc2018-78013.
Texte intégralCao, W., S. Durucan, J. Q. Shi et A. Korre. « Slip Tendency Evaluation of Fracture Systems Associated with Seismicity at the Hellisheiði Geothermal Field, Iceland ». Dans 57th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2023. http://dx.doi.org/10.56952/arma-2023-0372.
Texte intégralKazemian, Sina, Hiral Vara et Andrew White. « Comparison of In Situ Field Test and Laboratory Test Results for Assessment of Static and Seismic Liquefaction Susceptibility of a Tailings Dam ». Dans Ninth Congress on Forensic Engineering. Reston, VA : American Society of Civil Engineers, 2022. http://dx.doi.org/10.1061/9780784484548.022.
Texte intégralHonegger, Douglas G., Mujib Rahman, Humberto Puebla, Dharma Wijewickreme et Anthony Augello. « Definition of Lateral Spread Displacement for Regional Risk Assessments of Pipeline Vulnerability ». Dans 2010 8th International Pipeline Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/ipc2010-31354.
Texte intégralLai, Carlo G., Daniele Conca, Claudia Meisina, Roberta Bonì et Francesca Bozzoni. « Earthquake-induced soil liquefaction risk : macrozonation of the European territory taking into account exposure ». Dans IABSE Symposium, Guimarães 2019 : Towards a Resilient Built Environment Risk and Asset Management. Zurich, Switzerland : International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/guimaraes.2019.0627.
Texte intégralJohnson, Clayton, Stephen Schmidt, Justin Taylor et John deLaChapelle. « Geospatial Database Development : Supporting Geohazard Risk Assessments Through Real-Time Data and Geospatial Analytics ». Dans 2022 14th International Pipeline Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/ipc2022-87139.
Texte intégralMasinde, Abiud, Cleophas Simiyu, Innocent Murunga, George Muia, Aaron Waswa et Justus Barongo. « A Preliminary Assessment of the Hydrocarbon Potential of Kerio Valley Basin : Gravity and Magnetic Interpretation ». Dans SPE/AAPG Africa Energy and Technology Conference. SPE, 2016. http://dx.doi.org/10.2118/afrc-2546156-ms.
Texte intégralRapports d'organisations sur le sujet "SEISMIC SUSCEPTIBILITY"
Steudlein, Armin, Besrat Alemu, T. Matthew Evans, Steven Kramer, Jonathan Stewart, Kristin Ulmer et Katerina Ziotopoulou. PEER Workshop on Liquefaction Susceptibility. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, mai 2023. http://dx.doi.org/10.55461/bpsk6314.
Texte intégralWozniakowska, P., D. W. Eaton, C. Deblonde, A. Mort et O. H. Ardakani. Identification of regional structural corridors in the Montney play using trend surface analysis combined with geophysical imaging. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329795.
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