K–Ar geochronology of the southwestern Brooks Range, Alaska

1979 ◽  
Vol 16 (9) ◽  
pp. 1789-1804 ◽  
Author(s):  
Donald L. Turner ◽  
Robert B. Forbes ◽  
John T. Dillon

The southern Brooks Range schist belt is characterized by metasediments with subordinate metabasites and metafelsites. Blueschists occur within the schist belt from the Chandalar Quadrangle westward to the Baird Mountains Quadrangle.We report 76 new 40K–40Ar mineral ages from 47 metamorphic and igneous rocks in the southwestern Brooks Range. The pattern of radiometric ages reflects the complex geologic history of this area. Local and regional radiometric ages provide evidence that the schist belt has, at least in part, undergone a Late Precambrian blueschist facies metamorphism. Silurian to Devonian carbonates and Middle Devonian felsic volcanics were later deposited on this Precambrian basement. Subsequent deformations produced the present pattern of isoclinal, recumbent folds, resulting in the interlayering of rocks of markedly different ages and lithologies.The entire schist terrane was metamorphosed to greenschist facies in Mesozoic time, probably as a result of Jurassic–Cretaceous northward overthrusting of oceanic crust and upper mantle, resulting in the resetting of most K–Ar mica ages to the mid-Cretaceous. A series of apparent 40K–40Ar ages intermediate between Late Precambrian and mid-Cretaceous are interpreted as indicating varying amounts of partial argon loss from older rocks during the Mesozoic metamorphism. Some glaucophanes contain excess radiogenic 40Ar.

Eos ◽  
2016 ◽  
Vol 97 ◽  
Author(s):  
Manuel Catalán ◽  
Jérôme Dyment ◽  
Yujin Choi ◽  
Mohamed Hamoudi ◽  
Vincent Lesur ◽  
...  

A new version of the World Digital Magnetic Anomaly Map, released last summer, gives greater insight into the structure and history of Earth's crust and upper mantle.


2021 ◽  
Author(s):  
Zhengyang Zhou ◽  
Douglas Wiens ◽  
Andrew Lloyd

<p>The Antarctic continent with its large ice sheets provides a unique environment to investigate the response of the solid Earth to ice mass change. A key requirement of such studies is high-resolution seismic images of the crust and upper mantle, which can be used to estimate the region’s viscous structure. Likewise, these images are key to understanding the region’s geologic history and underlying geodynamic processes. Although the existing transverse isotropic seismic model ANT-20(Lloyd et al., 2020) and azimuthally anisotropic seismic model ANT-30 (Lloyd et al., in prep) have regional-scale resolution from the upper mantle to the transition zone, there is a need for higher resolution within the uppermost mantle (< 75 km) and crust of Antarctica. In this study, we use the ANT-30 model (Lloyd et al., in prep), a 3D seismic model from earthquake data, as a starting model. We seek to improve its resolution within the upper ~100 km of the Antarctic mantle by fitting three-component ambient noise correlograms computed from broadband records collected in Antarctica over the past 20 years. This includes data from recent temporary arrays such as TAMSEIS, AGAP, TAMNNET, RIS, POLENET/ANET, and UKANET. The three-component cross-correlations of station pairs are calculated and properly rotated to extract ambient noise surface waves that include both Rayleigh and Love waves, which show excellent signal-to-noise ratio between 15 to 70 seconds. The benefit of including this data is twofold: (1) it provides surface wave observations down to 15 s, as opposed to 25 s and (2) it provides shorter intercontinental paths, which were absent due to the region’s earthquake distribution. We then use the software package SPECFEM3D_GLOBE to iteratively improve the 3-D earth model, minimizing the nondimensionalized traveltime phase misfit between the observed and synthetic waveforms. The preliminary results indicate a stronger positive radial anisotropy (V<sub>SH</sub> > V<sub>SV</sub>) in the lower crust and uppermost mantle for West Antarctica and part of East Antarctica.  With more iterations, smaller-scale detail can be revealed by the new ambient noise data, resulting in a more reliable uppermost mantle and crustal structure.</p>


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