Academic literature on the topic 'SEISMIC SUSCEPTIBILITY'

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Journal articles on the topic "SEISMIC SUSCEPTIBILITY"

1

Srinivasan, R. "Geology and Seismic Susceptibility of Chennai City." Journal of the Geological Society of India 97, no. 11 (2021): 1470. http://dx.doi.org/10.1007/s12594-021-1890-0.

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2

., C. Ravi Kumar Reddy. "ASSESSMENT OF SEISMIC SUSCEPTIBILITY OF RC BUILDINGS." International Journal of Research in Engineering and Technology 03, no. 28 (2014): 38–41. http://dx.doi.org/10.15623/ijret.2014.0328008.

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3

Lv, Wei, and Lihong Zhang. "The Seismic Response of Ultra-High Voltage Gas-Insulated Transmission Lines." Journal of Physics: Conference Series 2557, no. 1 (2023): 012065. http://dx.doi.org/10.1088/1742-6596/2557/1/012065.

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Abstract As an important part of the substation, the seismic capacity of ultra-high voltage (UHV) electrical equipment is related to the safe and stable operation of the substation and the whole power grid. The UHV gas-insulated transmission lines (GIL) have many structural characteristics, such as long pipeline distance, the large span between supports and the obvious amplification effect of supports. Its natural frequency is close to the predominant frequency of the seismic wave, resulting in its susceptibility to resonance or resonance-like and high seismic susceptibility. In order to analy
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4

Chen, Xiao-li, Xin-jian Shan, Ming-ming Wang, Chun-guo Liu, and 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 (2020): 198. http://dx.doi.org/10.3390/ijgi9040198.

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On 8 August 2017 an earthquake (MS7.0) occurred within Jiuzhaigou County, Northern Aba Prefecture, Sichuan Province, China, triggering 4834 landslides with an individual area greater than 7.8 m2 over a more than 400 km2 region. Instead of correlating geological and topographic factors with the coseismic landslide distribution pattern, this study has attempted to reveal the control from seismic landslide susceptibility mapping, which relies on the calculation of critical acceleration values using a simplified Newmark block model. We calculated the average critical acceleration for each cell of
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5

Kolawole, F., C. S. Johnston, C. B. Morgan, et al. "The susceptibility of Oklahoma’s basement to seismic reactivation." Nature Geoscience 12, no. 10 (2019): 839–44. http://dx.doi.org/10.1038/s41561-019-0440-5.

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6

Som, S. K., P. Dasarwar, Murali Mohan, et al. "Comparing seismic susceptibility models of the Himalayan terrain." Journal of Seismology 20, no. 3 (2016): 827–63. http://dx.doi.org/10.1007/s10950-016-9562-z.

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7

Yamaguchi, Shui, and Mio Kasai. "A new index representative of seismic cracks to assess post‐seismic landslide susceptibility." Transactions in GIS 26, no. 2 (2022): 1040–61. http://dx.doi.org/10.1111/tgis.12900.

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8

Fang, Haoran, Yun Shao, Chou Xie, et al. "Using Persistent Scatterer Interferometry for Post-Earthquake Landslide Susceptibility Mapping in Jiuzhaigou." Applied Sciences 12, no. 18 (2022): 9228. http://dx.doi.org/10.3390/app12189228.

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Earthquakes cause a huge number of landslides and alter the regional landslide risk distribution. As a result, after a significant earthquake, the landslide susceptibility maps (LSMs) must be updated. The study goal was to create seismic landslide susceptibility maps containing landslide causative variables which are adaptable to great changes in susceptibility after the Jiuzhaigou earthquake (MS 7.0) and to perform a rapid update of the LSM after the earthquake by means of the distributed scatterer interferometric synthetic aperture radar (DS-InSAR) technique. We selected the territory of Jiu
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9

Taufik, Imam. "RAPID SEISMIC SCREENING PADA JEMBATAN DI KABUPATEN PATI MENGGUNAKAN METODE FILIATRAULT." Jurnal HPJI 9, no. 1 (2023): 49–56. http://dx.doi.org/10.26593/jhpji.v9i1.6440.49-56.

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Abstract
 
 Indonesia is a country that has a very high level of vulnerability to earthquakes. However, it is very rare for bridges in rural areas or in sub-districts to be evaluated or screened. As a result, many bridges are prone to damage when seismic earthquakes occur, even though bridges are an important infrastructure for the village for the village's economic progress. This research was conducted with the aim of conducting a quick seismic inspection of the bridge and obtaining a priority order for bridge repair using the Seismic Vulnerability Index (SVI) method. The analysis w
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10

Tanyaş, Hakan, Dalia Kirschbaum, and 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 (2021): 4323–45. http://dx.doi.org/10.1007/s10064-021-02238-x.

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AbstractThe coupled effect of earthquakes and rainfall is rarely investigated in landslide susceptibility assessments although it could be crucial to predict landslide occurrences. This is even more critical in the context of early warning systems and especially in cases of extreme precipitation regimes in post-seismic conditions, where the rock masses are already damaged due to the ground shaking. Here, we investigate this concept by accounting for the legacy of seismic ground shaking in rainfall-induced landslide (RFIL) scenarios. We do this to identify whether ground shaking plays a role in
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