1st Edition

Sustainable Gold Mining Wastewater Treatment by Sorption Using Low-Cost Materials UNESCO-IHE PhD Thesis

By Mike Agbesi Acheampong Copyright 2013

    Sorption technique was employed to remove heavy metals from gold mining effluent using natural and plant materials for sustainability. An assessment of the effluent quality of a gold mining company in Ghana indicated that arsenic, copper and cyanide were the major pollutants in the process effluent. Arsenic and copper were successfully removed from the effluent by the studied materials. The research showed that the down-flow fixed-bed treatment configuration is an ideal system for the simultaneous removal of copper and arsenic from low concentration gold mining effluent, in addition to other heavy metals present in very low concentrations.

    1. General introduction
    2: Removal of heavy metals from gold mining wastewater - A review
    3: Assessment of the effluent quality from a gold mining industry in Ghana
    4: Biosorption of Cu(II) onto agricultural materials from tropical regions
    5: Cyclic sorption/desorption of Cu(II) onto CS and iron-oxide-coated sand
    6: Kinetics modelling of Cu(II) biosorption onto coconut shell (CS) and Moringa oleifera seeds from tropical regions
    7: Removal of Cu(II) by biosorption onto CS in fixed-bed column systems
    8: Treatment of gold mining effluent in pilot fixed bed sorption systems
    9: General discussion.

    Biography

    Mike Agbesi Acheampong (UNESCO-IHE Institute for Water Education, Delft, The Netherlands) (Author)

    "The authors of this book set out to achieve the goal of presenting electromagnetics for electrical machines in a simple and systematic manner. I think they achieve that goal. They reduce Maxwell’s equations to Laplace’s equation, Poisson’s equation, wave equation, and eddy current equation and apply them to electrical machines."
    —Matthew Sadiku, Prairie View A&M University

    "I particularly value the approach taken of developing accurate theoretical electromagnetic models for several electrical machine structures. Traditional approaches of using lumped element models for machine parts, and then trying to modify the resulting equivalent network by taking into account the effect of these elements having non-zero physical size in a piece-meal fashion do not develop the user’s basic comprehensive insight into all aspects of the electromagnetic fields which can have some effect on machine behavior."
    —Philip H. Alexander, Electrical and Computer Engineering, University of Windsor