James A. Davis, Gary P. Curtis
At the Naturita site in Colorado, USA, groundwaters were sampled and analyzed for chemical composition and by culture and culture-independent microbiological techniques. In addition, sediments were extracted with a dilute sodium carbonate solution to determine quantities of labile uranium within the sediments. Samples from the upgradient portion of the contaminated aquifer, where very little dissolved Fe(II) is found in the groundwater, have uranium content that is controlled by U(VI) adsorption and few metal-reducing bacteria are observed. In the extreme downgradient portion of the aquifer, where dissolved Fe(II) is observed, uranium content of the sediments includes significant quantities of reduced U(IV) and diverse populations of Fe(III)-reducing bacteria were present in the subsurface with the potential of reducing U(VI) to U(IV).
@article{0d750feb-49c1-4f27-bd15-d5fcdf26e4da,
title={Processes affecting transport of uranium in a suboxic aquifer},
author={James A. Davis and Gary P. Curtis},
year={2006},
language={en}
}TY - JOUR TI - Processes affecting transport of uranium in a suboxic aquifer AU - James A. Davis AU - Gary P. Curtis PY - 2006 LA - en ER -
The Australasian Institute of Mining and Metallurgy
This conference, held in Perth, Western Australia, focuses on the latest advancements in metallurgical processing plant design and operational strateg
David Pollard, Geoff Dunlop
The MetPlant 2008 conference focused on advancements in metallurgical processing of ores, emphasizing plant design, operation strategies, and innovati
A. Ryan, E. Johanson
The design of process plants for feasibility studies must address several key objectives, including feasibility and constructibility, while focusing o
Chiranjib Kumar Gupta
This book provides a comprehensive overview of the field of chemical metallurgy, addressing both common and less common metals. The objective of the v
Unknown, Unknown
This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu
Rajesh Jha, Bimal Kumar Jha
This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t