Laminated sediments in prodeltaic deposits, Glacier Bay, Alaska

1991 ◽  
pp. 51-60 ◽  
Author(s):  
Andrew C. Phillips ◽  
Norman D. Smith ◽  
Ross D. Powell
Keyword(s):  
Laminated Sediments ◽  
Glacier Bay

Mineral resources of the Glacier Bay National Monument Wilderness Study Area, Alaska

1978 ◽  
Author(s):  
David A. Brew ◽  
B.R. Johnson ◽  
Donald Grybeck ◽  
Andrew Griscom ◽  
D.F. Barnes ◽  
...  
Keyword(s):  
Mineral Resources ◽  
Glacier Bay ◽  
National Monument

Trace element migrating from tailings to rock varnish laminated sediments in an old mining region from Nelson, Nevada, USA

2021 ◽  
Author(s):  
Douglas B. Sims ◽  
Amanda C. Hudson ◽  
John E. Keller ◽  
Michael Strange ◽  
Andressa Cristhy Buch ◽  
...  
Keyword(s):  
Trace Element ◽  
Laminated Sediments ◽  
Mining Region ◽  
Rock Varnish

The First Holocene Varve Chronology for the UK: based on the integration of varve counting, radiocarbon dating and tephrostratigraphy from Diss Mere (UK).

2021 ◽  
Author(s):  
Celia Martin-Puertas ◽  
Amy A. Walsh ◽  
Simon P.E Blockley ◽  
Poppy Harding ◽  
George E. Biddulph ◽  
...  
Keyword(s):  
Laminated Sediments ◽  
Seasonal Patterns ◽  
Sediment Record ◽  
Radiocarbon Dates ◽  
Varve Chronology ◽  
Counting Error ◽  
Tephra Layers ◽  
Core Depth ◽  
The Uk ◽  
Varve Counting

<p>This paper reports the first Holocene varved chronology for the lacustrine sediment record of Diss Mere in the UK. The record of Diss Mere is 15 m long, and shows 4.2 m of finely-laminated sediments, which are present between ca. 9 and 13 m of core depth. The microfacies analysis identified three major seasonal patterns of deposition, which corroborate the annual nature of sedimentation throughout the whole interval. The sediments are diatomaceous organic and carbonate varves with an average thickness of 0.45 mm. A total of 8473 varves were counted with maximum counting error of up to  40 varves by the bottom of the varved sequence. To tie the resulting floating varve chronology to the IntCal 2020 radiocarbon timescale, we used a Bayesian Deposition model (P_Sequencewith outlier detection) on all available chronological data from the core. The data included five radiocarbon dates, two known tephra layers (Glen Garry and OMH-185) with calendar ages based on Bayesian modelling of sequences of radiocarbon ages, and the relative varve counts between dated points. The resulting age-depth model (DISSV-2020) dates the varved sequence between ca. 2100 and 10,300 cal BP and age uncertainties are decadal in scale (95% confidence). </p>

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