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Timothy A. DeVol

Researcher at Clemson University

Publications -  14
Citations -  255

Timothy A. DeVol is an academic researcher from Clemson University. The author has contributed to research in topics: Uranium & Sequential probability ratio test. The author has an hindex of 6, co-authored 14 publications receiving 204 citations.

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Elevated concentrations of primordial radionuclides in sediments from the Reedy River and surrounding creeks in Simpsonville, South Carolina.

TL;DR: Comparisons between the ex situ and in situ measurements indicate equivalently distributed uranium in the surface soils and stream sediments, the source of which is likely attributed to the monazite belts that are known to exist in the area.

Elevated Concentrations of Primordial Radionuclides in Sediments from the Reedy River and Surrounding Creeks in Simpsonville, South Carolina

TL;DR: A gamma-ray survey and analysis of sixteen riverbed samples from the Reedy River watershed near Simpsonville, SC were conducted and compared with national and international studies of primordial radionuclides as mentioned in this paper.
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Identification of damage mechanisms in cement paste based on acoustic emission

TL;DR: In this paper, acoustic emission (AE) monitoring during compressive loading was employed to investigate micro-cracks formation and coalescence in cement paste specimens, and the data was categorized on the basis of amplitude and cumulative signal strength (CSS).
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Phosphonic acid and alkyl phosphate-derivatized resins for the simultaneous concentration and detection of uranium in environmental waters

TL;DR: In this article, extractive scintillating resins for the direct, real-time analysis of uranium in neutral pH environmental waters were synthesized by a one-step suspension polymerization, resulting in matrix containing a covalently bound fluorophore and 4-vinylbenzyl chloride.
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Integration of ecosystem science into radioecology: A consensus perspective.

TL;DR: This paper is a synthesis of the discussions and consensus of the workshop participant's responses to three primary questions, which were that ecosystem science can and should support radiological risk assessment through the incorporation of quantitative metrics that reflect ecosystem functions which are sensitive to radiological contaminants.