PDF

Multi-component reactive transport modeling of natural attenuation of an acid groundwater plume at a uranium mill tailings site

Chen Zhu, Fang Q. Hu

2001engeochemical modelingcontaminanttransportcoupled processes

Abstract

Language:

Natural attenuation of an acidic plume in the aquifer underneath a uranium mill tailings pond in Wyoming, USA was simulated using the multi-component reactive transport code PHREEQC. A one-dimensional model was constructed for the site and the model included advective–dispersive transport, aqueous speciation of 11 components, and precipitation–dissolution of six minerals. Transport simulation was performed for a reclamation scenario in which the source of acidic seepage will be terminated after 5 years and the plume will then be flushed by uncontaminated upgradient groundwater. Simulations show that successive pH buffer reactions with calcite, Al(OH)₃, and Fe(OH)₃ create distinct geochemical zones and most reactions occur at the boundaries of geochemical zones. The complex interplay of physical transport processes and chemical reactions produce multiple concentration waves. For SO₄²⁻ transport, the concentration waves are related to advection–dispersion, and gypsum precipitation and dissolution. Wave speeds from numerical simulations compare well to an analytical solution for wave propagation.

Download

Cite This Work

@article{8fb4b627-8a48-474a-bad5-ddab988fba68,
  title={Multi-component reactive transport modeling of natural attenuation of an acid groundwater plume at a uranium mill tailings site},
  author={Chen Zhu and Fang Q. Hu},
  year={2001},
  language={en}
}
TY  - JOUR
TI  - Multi-component reactive transport modeling of natural attenuation of an acid groundwater plume at a uranium mill tailings site
AU  - Chen Zhu
AU  - Fang Q. Hu
PY  - 2001
LA  - en
ER  -

Similar Items

Metal Casting Processes

Unknown, Unknown

This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu

2023enPDF

Artificial intelligence-aided materials design: AI-algorithms and case studies on alloys and metallurgical processes

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

2022enPDF

Metallurgical Plant Design and Operating Strategies

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

2006enPDF

Metallurgical Plant Design and Operating Strategies

David Pollard, Geoff Dunlop

The MetPlant 2008 conference focused on advancements in metallurgical processing of ores, emphasizing plant design, operation strategies, and innovati

2008enPDF

Metallurgical Plant Design and Operating Strategies

P Card, J Canterford

This document presents a collection of papers from the METPLANT 2011 conference focusing on metallurgical plant design and operating strategies. The o

2011enPDF

Plant auditing: a powerful tool for improving metallurgical plant performance

Deepak Malhotra

This work discusses the essential components of a rigorous auditing process aimed at enhancing metallurgical plant performance. The objective is to id

2015enPDF