Assessment of sulphate and iron reduction rates during reactor start-up for passive anaerobic co-treatment of acid mine drainage and sewage

作者: Peter M. Smyntek , Jeffrey Chastel , Rebecca A. M. Peer , Evan Anthony , Jacob McCloskey

DOI: 10.1144/GEOCHEM2017-001

关键词: Environmental remediationPhosphatePulp and paper industryNitrogenAcid mine drainageSewageAlkalinityPollutantWastewaterChemistry

摘要: Passive co-treatment of municipal wastewater (MWW) and acid mine drainage (AMD) has shown promise over the past decade for simultaneous remediation these widespread waste streams. To investigate efficiency rates iron sulphate reduction during start-up anaerobic using a novel, process-based kinetic modeling approach, twenty-four replicate 1L-cubitainers containing 5:2 MWW:AMD mixture Kaldnes plastic media were sealed, incubated sacrificially sampled key water quality parameters 30 days. Alkalinity generation, pH increase efficient removal iron, aluminum phosphate observed. The observed relatively slow, sulphate, organic carbon nitrogen was modest incomplete. Overall, results confirm efficacy AMD-MWW pollutants, but also highlight factors that may limit this emerging technology. Supplementary material: fitted model used to describe behaviour Fe, H 2 S SO 4 2− are available at https://doi.org/10.6084/m9.figshare.c.3841279

参考文章(54)
Theresa A. Hughes, N. F. Gray, Acute and Chronic Toxicity of Acid Mine Drainage to the Activated Sludge Process Mine Water and The Environment. ,vol. 31, pp. 40- 52 ,(2012) , 10.1007/S10230-011-0168-Y
Steven A Banwart, Robert S Hedin, Paul L Younger, Mine Water: Hydrology, Pollution, Remediation ,(2002)
Liliana Lefticariu, Evan R. Walters, Charles W. Pugh, Kelly S. Bender, Sulfate reducing bioreactor dependence on organic substrates for remediation of coal-generated acid mine drainage: Field experiments Applied Geochemistry. ,vol. 63, pp. 70- 82 ,(2015) , 10.1016/J.APGEOCHEM.2015.08.002
Broder J. Merkel, Darrell K. Nordstrom, Britta Planer-Friedrich, Groundwater Geochemistry: A Practical Guide to Modeling of Natural and Contaminated Aquatic Systems ,(2005)
Antonino Ingargiola, Matthew Newville, Till Stensitzki, Daniel B. Allen, Lmfit: Non-Linear Least-Square Minimization and Curve-Fitting for Python Astrophysics Source Code Library. ,(2014) , 10.5281/ZENODO.11813
Inc Metcalf and Eddy, George Tchobanoglous, George Tchobanoglous, Franklin L Burton, H David Stensel, Wastewater Engineering: Treatment and Reuse ,(2002)