Mapping surface motion parameters and liquefaction susceptibility in Tribhuvan International Airport, Nepal

Gautam, Dipendra

doi:10.1080/19475705.2017.1305993

Cited by 6 publications

(4 citation statements)

References 19 publications

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“…Despite several studies consider liquefaction susceptibility analysis of Kathmandu Valley, virtually all such studies are confined to deterministic approach (e.g., Gautam, de Magistris, and Fabbrocino 2017;Gautam, 2017b). Furthermore, to the best of authors' knowledge, none of the previous studies focused on the input ground acceleration considering the pertinent seismic hazard scenario.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic seismic liquefaction hazard assessment of Kathmandu valley, Nepal

K.C

Bhochhibhoya

Adhikari

et al. 2020

Geomatics, Natural Hazards and Risk

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Earthquakes are frequent in the Himalayas and almost all moderate to strong earthquakes have caused enormous losses of lives and property in Kathmandu Valley, Nepal. Several historical earthquakes depicted that considerable loss was attributed to liquefaction induced failure in structures and infrastructures. Existing liquefaction studies have mostly used deterministic approach to obtain the factor of safety against liquefaction. Thus, to update the conventional deterministic liquefaction analysis results, this study performs probabilistic seismic liquefaction hazard assessment of Kathmandu valley considering wide range of earthquake magnitudes and four return periods: 73, 475, 2475, and 5000 years. Liquefaction probabilities for 88 locations across Kathmandu Valley are estimated and compared with the historical occurrence to validate the results. The liquefaction hazard maps for all four return periods are prepared for all the earthquake magnitudes for 1.5 m, 3 m, 4.5 m, and 6 m depths. The sum of findings highlights that the central valley, and eastern and western fringes have higher liquefaction probabilities than the other parts.

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Section: Introductionmentioning

confidence: 99%

Probabilistic seismic liquefaction hazard assessment of Kathmandu valley, Nepal

K.C

Bhochhibhoya

Adhikari

et al. 2020

Geomatics, Natural Hazards and Risk

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“…It is a widely used method by researchers for various applications in order to capture local ground effects or site conditions that can affect the estimate of ground motion characteristics (Chavez-Garcia et al, 1990;Lopez-Caballero et al, 2012;Gautam and Chamlagain, 2016;Sil and Haloi, 2018). The outcomes of such studies aim to provide local seismic (Gautam, 2017) hazard parameters which can be adopted for the design of structures and infrastructures (Douglas, 2006). Ground response parameters typically characterize the complex nature of strong motion accelerograms using a simple expansion of predictive relationships.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity analysis of input ground motion on surface motion parameters in high seismic regions: a case of Bhutan Himalaya

Tempa

Aryal²,

Chettri

et al. 2022

Nat. Hazards Earth Syst. Sci.

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Abstract. Historical earthquakes demonstrate that strong motion characteristics and local soil condition, when coupled, significantly influence seismic site response. Interestingly, most of the Himalayan earthquakes depicted anomalous behavior per the site conditions historically. Being one of the most active seismic regions on earth, the eastern fringe of the Himalaya has observed many devastating earthquakes together with non-uniform damage scenarios. To quantify such anomalies, we evaluate surface motion parameters for a soft soil deposit located in the city of Phuentsholing in western Bhutan. Using one-dimensional site response analysis, the sensitivity of ground motion variation is estimated. This study accounts for the earthquakes of moment magnitudes 6.6 to 7.5 with a wide variation in peak ground acceleration (PGA). To dissect the characteristics of six inputted ground motions on eight local ground conditions, a sensitivity analysis is performed statistically. The statistical correlation of the response datasets and the linear regression model of the bedrock outcrop and the surface motion spectral acceleration along the stratified depth are examined to quantify the variation in surface motion parameters. The results highlight that the strong motions with PGA greater than 0.34 g demonstrate greater sensitivity, leading to some anomalies in response parameters, especially amplification. Similar results were obtained for the low PGA range (<0.1 g).

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“…To this end, many researchers considered multi-hazard zonation in several countries considering local boundaries (Bell and Glade 2004;Thierry et al 2008;Kappes et al 2012;Siddique and Schwarz 2015;Zhou et al 2015;Barua et al 2016;Forte et al 2019). Although multi-hazard risk assessment and hazard mapping are gaining attention in recent years, the major focus is still given for a single natural hazard so far (Fuchs et al 2009;Cao et al 2016;Gautam and Chamlagain 2016;Licata et al 2016;Santolo et al 2016;Gautam 2017b;Santo et al 2017;Sajan et al 2020). Despite probabilistic and deterministic assessment of individual hazard, historical event data are also used abundantly to create zonation maps (B€ uchele et al 2006;Abella et al 2007;Fuchs et al 2009;Meyer et al 2009;Gautam 2017a).…”

Section: Introductionmentioning

confidence: 99%

Local level multi-hazard zonation of Nepal

Gautam¹,

Thapa

Pokhrel

et al. 2021

Geomatics, Natural Hazards and Risk

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This study performs district and local administrative level multihazard zonation of Nepal. As multiple natural hazards are frequent, and their losses are enormous, multi-hazard zonation maps can provide important insights before the occurrence of natural hazards so that effective countermeasures and preparedness efforts can be designed and implemented. To this end, weightage-based multi-hazard zonation of Nepal is performed considering 27,482 independent natural hazard events. We considered 16 natural hazards to perform multi-hazard zonation. The multi-hazard maps prepared in this study highlight that the south-eastern and south-central Nepal depicts a higher level of multi-hazard compared with other regions of the country. However, the locallevel multi-hazard zonation outlines highly scattered multi-hazard levels, even in adjoining villages and municipalities.

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Mapping surface motion parameters and liquefaction susceptibility in Tribhuvan International Airport, Nepal

Cited by 6 publications

References 19 publications

Probabilistic seismic liquefaction hazard assessment of Kathmandu valley, Nepal

Probabilistic seismic liquefaction hazard assessment of Kathmandu valley, Nepal

Sensitivity analysis of input ground motion on surface motion parameters in high seismic regions: a case of Bhutan Himalaya

Local level multi-hazard zonation of Nepal

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