Insights into bedrock surface morphology using low-cost passive seismic surveys and integrated geostatistical analysis

Trevisani, Sebastiano; Boaga, Jacopo; Agostini, Laura; Galgaro, Antonio

doi:10.1016/j.scitotenv.2016.11.041

Cited by 14 publications

(6 citation statements)

References 35 publications

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“…Given the characteristics of the trend, a first secondary variable considered is the distance from the outcropping bedrock (Fig. 8a), due to a likely direct proportionality between bedrock depth and distance from outcropping bedrock (e.g., Trevisani et al 2017). The simplified outlines of the outcropping bedrock have been digitized considering the geological maps presented in Sakai et al (2015) and Shersta and Shah (2014).…”

Section: Resultsmentioning

confidence: 99%

“…The method proved to be an efficient tool for the detection of subsoil impedance contrasts (e.g., Lermo and Chavez-Garcia 1994;Konno and Omachi 1998;Bodin et al 2001;Bonnefoy-Claudet et al 2008;Boaga et al 2013;Trevisani and Boaga 2018). In particular, the method is widely adopted in the context of seismic microzonation (e.g., Lermo et al 1988;Chatelain et al 2007;Gosar 2007;Bonnefoy-Claudet et al 2009;D'Amico et al 2008;Pilz et al 2010;Foti et al 2011;Teza et al 2015) and for studying the thickness of sedimentary cover over bedrock (e.g., Ibs Von Sehts and Wohienberg 1999; Trevisani et al 2017).…”

Section: The Hvsr Methodologymentioning

confidence: 99%

“…Currently, the technique of single-station passive recordings and the HVSR analysis have been standardized (Sesame 2004). It should be noted that in the present study, the analysis is performed in terms of RP, both for spatial statistical motivations (see Trevisani et al 2017) as well as because this notation is widely adopted in the context of seismic microzonation and structural engineering.…”

Section: The Hvsr Methodologymentioning

confidence: 99%

“…KD is an interpolation approach that can be adopted when the primary variable of interest (e.g., RPs) is related to one or more secondary variables (e.g., the depth of the bedrock). This relation can be taken into account with specific algorithms (Goovaerts 1997;Hengl et al 2007;Trevisani et al 2017), such as co-kriging and kriging with external drift (KD), or its generalization, i.e. regression kriging (RK).…”

Section: Geostatistical Analysis Of Resonance Periodsmentioning

confidence: 99%

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Mapping long-period soil resonances in the Kathmandu basin using microtremors

et al. 2021

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This study reports the geostatistical analysis of a set of 40 single-station horizontal-to-vertical spectral ratio (HVSR) passive seismic survey data collected in the Kathmandu basin (Nepal). The Kathmandu basin is characterized by a heterogeneous sedimentary cover and by a complex geo-structural setting, inducing a high spatial variability of the bedrock depth. Due to the complex geological setting, the interpretation and analysis of soil resonance periods derived from the HVSR surveys is challenging, both from the perspective of bedrock depth estimation as well as of seismic-site effects characterization. To exploit the available information, the HVSR data are analyzed by means of a geostatistical approach. First, the spatial continuity structure of HVSR data is investigated and interpreted taking into consideration the geological setting and available stratigraphic and seismic information. Then, the exploitation of potential auxiliary variables, based on surface morphology and distance from outcropping bedrock, is evaluated. Finally, the mapping of HVSR resonance periods, together with the evaluation of interpolation uncertainty, is obtained by means of kriging with external drift interpolation. This work contributes to the characterization of local seismic response of the Kathmandu basin. The resulting map of soil resonance periods is compatible with the results of preceding studies and it is characterized by a high spatial variability, even in areas with a deep bedrock and long resonance periods.

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Section: Resultsmentioning

confidence: 99%

Section: The Hvsr Methodologymentioning

confidence: 99%

Section: The Hvsr Methodologymentioning

confidence: 99%

Section: Geostatistical Analysis Of Resonance Periodsmentioning

confidence: 99%

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Mapping long-period soil resonances in the Kathmandu basin using microtremors

et al. 2021

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“…The HVSR method is the most applicable technique for estimation the soft sedimentary cover thickness (e.g. Ibs-von Seht and Wohlenberg 1999;Parolai et al 2002;Fäh et al 2003;Hinzen et al 2004;Toni et al 2016aToni et al , 2016bTrevisani et al 2017;Trevisani and Boaga 2018;Abd El-aal 2018). The basic concept of Nakamura's technique can be described in a simplest case ( Figure 5), in a onedimensional soft sedimentary layer (soil: denoted as subscript "s") above bedrock (denoted as subscript "b").…”

Section: Hvsr Methods (Nakamura Technique)mentioning

confidence: 99%

Estimation of seismic site effect at the new Tiba City proposed extension, Luxor, Egypt

Mohamed

Ali

Mostafa

2020

NRIAG Journal of Astronomy and Geophysics

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The Horizontal-to-Vertical Spectral Ratio (HVSR) technique is one of the most suitable tools for estimating the geological effect on ground motion. The main target of this study is to estimate the site effect and the fragility index value at the new Tiba City proposed extension. To achieve these targets, 21 ambient vibration recordings were conducted with 1 km grid to cover the investigated area. The estimated predominant frequency (f 0) distribution is a relative uniform and occurs at low frequency, ranging from 0.35 to 0.75 Hz and its maximum corresponding amplitude of seismic wave (A 0) starts from 3.1 up to 6.5. The qualitative interpretation of loose sedimentary cover thickness is large (136 to 410 m with average ~270 m) that coincided with occurrence of (f 0) at low level. The fragility index for the ground (K g) at each measured site was computed depending on the estimated H/V amplitude and corresponding (f 0), and found to range from 17 to 118 across the investigated area. The highest values of K g were obviously found in the northeastern part of the proposed site, where the highest amplification factor and the lowest fundamental frequency are found.

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Mapping Transitions and Alterations in Complex Environments

Trevisani

Omodeo

2023

Designing Environments

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Insights into bedrock surface morphology using low-cost passive seismic surveys and integrated geostatistical analysis

Cited by 14 publications

References 35 publications

Mapping long-period soil resonances in the Kathmandu basin using microtremors

Mapping long-period soil resonances in the Kathmandu basin using microtremors

Estimation of seismic site effect at the new Tiba City proposed extension, Luxor, Egypt

Mapping Transitions and Alterations in Complex Environments

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