Neotectonic fault activity in Hong Kong: evidence from seismic events and thermoluminescence dating of fault gouge

Ding, Yi-Tao; Lai, K. W.

doi:10.1144/gsjgs.154.6.1001

Cited by 16 publications

(2 citation statements)

References 9 publications

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“…Friction-generated heat has also been detected using zircon He thermochronometry (Maino et al, 2015) and ferrimagnetic resonance signals via ESR (Fukuchi et al, 2007). Luminescence and ESR signals of quartz and feldspar can be reset within fault gouge (Ding & Lai, 1997;Fukuchi, 2001;Lee & Yang, 2007;Mukul et al, 2007;Singhvi et al, 1994;Spencer et al, 2012), although it is challenging to 10.1029/2018TC005312 Tectonics empirically reproduce signal resetting under equivalent conditions in the laboratory (e.g., Fukuchi & Imai, 1998;Toyoda et al, 2000).…”

Section: Fault Zone Processes: Earthquakes Creep and Geofluid Flowmentioning

confidence: 99%

Innovations in (U–Th)/He, Fission Track, and Trapped Charge Thermochronometry with Applications to Earthquakes, Weathering, Surface‐Mantle Connections, and the Growth and Decay of Mountains

2019

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A transformative advance in Earth science is the development of low‐temperature thermochronometry to date Earth surface processes or quantify the thermal evolution of rocks through time. Grand challenges and new directions in low‐temperature thermochronometry involve pushing the boundaries of these techniques to decipher thermal histories operative over seconds to hundreds of millions of years, in recent or deep geologic time and from the perspective of atoms to mountain belts. Here we highlight innovation in bedrock and detrital fission track, (U–Th)/He, and trapped charge thermochronometry, as well as thermal history modeling that enable fresh perspectives on Earth science problems. These developments connect low‐temperature thermochronometry tools with new users across Earth science disciplines to enable transdisciplinary research. Method advances include radiation damage and crystal chemistry influences on fission track and (U–Th)/He systematics, atomistic calculations of He diffusion, measurement protocols and numerical modeling routines in trapped charge systematics, development of 4He/3He and new (U–Th)/He thermochronometers, and multimethod approaches. New applications leverage method developments and include quantifying landscape evolution at variable temporal scales, changes to Earth's surface in deep geologic time and connections to mantle processes, the spectrum of fault processes from paleoearthquakes to slow slip and fluid flow, and paleoclimate and past critical zone evolution. These research avenues have societal implications for modern climate change, groundwater flow paths, mineral resource and petroleum systems science, and earthquake hazards.

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Section: Fault Zone Processes: Earthquakes Creep and Geofluid Flowmentioning

confidence: 99%

Innovations in (U–Th)/He, Fission Track, and Trapped Charge Thermochronometry with Applications to Earthquakes, Weathering, Surface‐Mantle Connections, and the Growth and Decay of Mountains

2019

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“…Hong Kong lies within the southeast margin of the South China block. Seismological and geological studies have demonstrated that the level of seismicity in Hong Kong is low to moderate but the question of whether there is any fault activity in or near Hong Kong presently is still controversial [5,6] . Geodetic techniques, such as EDM and GPS, are most effective to be used for monitoring crustal deformation.…”

Section: Introductionmentioning

confidence: 99%

Characteristics of Daily Position Time Series from the Hong Kong Gps Fiducial Network

Yuan

Ding

Chen

et al. 2008

Chinese J of Geophysics

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Characteristics of daily position time series from January 2001 to August 2007 at 12 GPS stations in the Hong Kong GPS fiducial network are investigated. A spatial filtering algorithm based on principal component analysis is employed to remove the common mode errors from the daily position time series. The noise characteristics of the filtered position time series are assessed by the method of maximum likelihood estimation.Contributions from atmospheric, nontidal oceanic, snow and soil moisture mass loading are evaluated. The results indicate that spatial filtering is an effective way to improve the precision of GPS position time series. The common mode errors have strong seasonal variations. The about 3 mm annual vertical variation of the common mode errors can be explained by the joint contribution of the seasonal surface mass redistributions. After removing these surface mass loading effects, the residual common mode errors are highly related to the higher-order ionospheric effects. The noise in the filtered position time series can be described as a combination of variable white noise and flicker noise. The velocity uncertainties are about 2∼6 times larger if only variable white noise is assumed. The maximum relative horizontal velocity between the sites is 1.5 mm/yr, which indicates some local fault activities. In addition, there are obvious 1∼2 mm local seasonal signals in the filtered position time series of some of the sites. The residual scatters of all filtered time series also show strong seasonal characteristics.

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Seismogenic structures of the 2006 ML4.0 Dangan Island earthquake offshore Hong Kong

Xia

Cao

Sun

et al. 2018

J. Ocean Univ. China

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Social recommender systems have drawn a lot of attention in many online web services, because of the incorporation of social information between users in improving recommendation results. Despite the significant progress made by existing solutions, we argue that current methods fall short in two limitations: (1) Existing social-aware recommendation models only consider collaborative similarity between items, how to incorporate item-wise semantic relatedness is less explored in current recommendation paradigms. (2) Current social recommender systems neglect the entanglement of the latent factors over heterogeneous relations (e.g., social connections, user-item interactions). Learning the disentangled representations with relation heterogeneity poses great challenge for social recommendation. In this work, we design a Disentangled Graph Neural Network (DGNN) with the integration of latent memory units, which empowers DGNN to maintain factorized representations for heterogeneous types of user and item connections. Additionally, we devise new memory-augmented message propagation and aggregation schemes under the graph neural architecture, allowing us to recursively distill semantic relatedness into the representations of users and items in a fully automatic manner. Extensive experiments on three benchmark datasets verify the effectiveness of our model by achieving great improvement over state-of-the-art recommendation techniques. The source code is publicly available at: https://github.com/HKUDS/DGNN.

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Neotectonic fault activity in Hong Kong: evidence from seismic events and thermoluminescence dating of fault gouge

Cited by 16 publications

References 9 publications

Innovations in (U–Th)/He, Fission Track, and Trapped Charge Thermochronometry with Applications to Earthquakes, Weathering, Surface‐Mantle Connections, and the Growth and Decay of Mountains

Innovations in (U–Th)/He, Fission Track, and Trapped Charge Thermochronometry with Applications to Earthquakes, Weathering, Surface‐Mantle Connections, and the Growth and Decay of Mountains

Characteristics of Daily Position Time Series from the Hong Kong Gps Fiducial Network

Seismogenic structures of the 2006 ML4.0 Dangan Island earthquake offshore Hong Kong

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