2021
DOI: 10.1029/2020jb021590
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Impoundment‐Associated Hydro‐Mechanical Changes and Regional Seismicity Near the Xiluodu Reservoir, Southwestern China

Abstract:  The plausible link between the Xiluodu reservoir impoundment and the increased seismicity is evidenced by spatio-temporal correlations. The pore pressure diffusion and reservoir water load can contribute to fault reactivation and earthquake triggering in the Xiluodu area. The fault criticality analysis reveals that the NNW-and NS-striking faults downstream the Jinsha River are more prone to reactivation.

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Cited by 15 publications
(9 citation statements)
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“…On the basis of geophysical logs and field testing in the West Shale Basin in Canada, they developed a quantitative 3D stress distribution model for determining the maximum and minimum horizontal stress, vertical stress, stress orientation, as well as ambient pore pressure. These variables are then used to evaluate the mechanical stability of the faults in the area of interest (Snee & Zoback, 2018;Zhang et al, 2021). 2.…”
Section: Future Research Opportunitiesmentioning
confidence: 99%
See 1 more Smart Citation
“…On the basis of geophysical logs and field testing in the West Shale Basin in Canada, they developed a quantitative 3D stress distribution model for determining the maximum and minimum horizontal stress, vertical stress, stress orientation, as well as ambient pore pressure. These variables are then used to evaluate the mechanical stability of the faults in the area of interest (Snee & Zoback, 2018;Zhang et al, 2021). 2.…”
Section: Future Research Opportunitiesmentioning
confidence: 99%
“…On the basis of geophysical logs and field testing in the West Shale Basin in Canada, they developed a quantitative 3D stress distribution model for determining the maximum and minimum horizontal stress, vertical stress, stress orientation, as well as ambient pore pressure. These variables are then used to evaluate the mechanical stability of the faults in the area of interest (Snee & Zoback, 2018; Zhang et al., 2021). Seismic hazard forecasts rely on the assessment of historical natural earthquakes and probabilities of earthquake magnitudes, frequency, location, as well as ground mechanical properties (Cornell, 1968).…”
Section: Future Research Opportunitiesmentioning
confidence: 99%
“…However, challenges persist due to the region's inherent geophysical traits: the steep, high slopes, intense seismic activity, rapid water flows, and fluctuating water levels [5][6][7]. These factors contribute to geological disasters, such as landslides [8] and collapses [9], which in turn threaten significant human and economic losses [10]. Consequently, landslides in particular warrant further attention and mitigation strategies to ensure the safety and sustainability of these initiatives.…”
Section: Introductionmentioning
confidence: 99%
“…The Monte Carlo simulations also strongly depend on the closed form solutions. Otherwise, it is almost incredible to perform a poromechanical coupled simulation with simultaneously considering multiple stochastic variables for a great number of realizations (Masoudian et al, 2019;Reyes Canales and Van der Baan, 2021;Zhang et al, 2021). We then can statistically evaluate the probability (risk) of inducing a specific magnitude of earthquake as well as the other statistical values.…”
Section: Discussionmentioning
confidence: 99%
“…Original applications usually adopt the Monte Carlo method to analyze the earthquake recurrence parameters and sample earthquakes by following the probability distributions (Bourne et al, 2015;Gischig et al, 2013;Parsons, 2008). Later studies include that applying this method to estimate in-situ stress and rock properties according to field and laboratory data (Bhattacharya and Viesca, 2019;Kruszewski et al, 2021;Van den Ende et al, 2020), and to perform coupled HM simulations (Masoudian et al, 2019;Plúa et al, 2021;Raziperchikolaee and Mishra, 2020;Reyes Canales and Van der Baan, 2021;Zhang et al, 2021). Most of these HM simulations used the Monte Carlo method to generate a heterogeneous distribution of rock properties in the whole simulation domain and then simulated the coupled HM problem with heterogeneity of rock properties.…”
Section: Introductionmentioning
confidence: 99%