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Author |
Tsukamoto, T.K.; Miller, G.C. |
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Title |
Methanol as a Carbon Source for Microbiological Treatment of Acid Mine Drainage |
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Journal Article |
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Year |
1999 |
Publication |
Water Res. |
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Volume |
33 |
Issue |
6 |
Pages |
1365-1370 |
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mine water treatment mining activity sulfate-reducing bacteria microbial activity acid mine drainage methanol passive treatment systems sulfate-reducing bacterium sp-nov |
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Abstract |
Sulfate reducing passive bioreactors are increasingly being used to remove metals and raise the pH of acidic waste streams from abandoned mines. These systems commonly use a variety of organic substrates (i.e. manure, wood chips) for sulfate reduction. The effectiveness of these systems decreases as easily accessible reducing equivalents are consumed in the substrate through microbial activity. Using column studies at room temperature (23-26 degrees C), we investigated the addition of lactate and methanol to a depleted manure substrate as a method to reactivate a bioreactor that had lost >95% of sulfate reduction activity. A preliminary experiment compared sulfate removal in gravity fed, flow through bioreactors in which similar masses of each substrate were added to the influent solution. Addition of 148 mg/l lactate resulted in a 69% reduction in sulfate concentration from 300 to 92 mg/l, while addition of 144 mg/l methanol resulted in an 88% reduction in sulfate concentration from 300 to 36 mg/l. Because methanol was found to be an effective sulfate reducing substrate, it was chosen for further experiments due to its inherent physical properties (cost, low freezing point and low viscosity liquid) that make it a superior substrate for remote, high elevation sites where freezing temperatures would hamper the use of aqueous solutions. In these column studies, water containing sulfate and ferrous iron was gravity-fed through the bioreactor columns, along with predetermined methanol concentrations containing reducing equivalents to remove 54% of the sulfate. Following an acclimation period for the columns, sulfate concentrations were reduced from of 900 mg/l in the influent to 454 mg/l in the effluent, that reflects a 93% efficiency of electrons from the donor to the terminal electron acceptor. Iron concentrations were reduced from 100 to 2 mg/l and the pH increased nearly 2 units. (C) 1999 Elsevier Science Ltd. |
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0043-1354 |
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Apr; Methanol as a Carbon Source for Microbiological Treatment of Acid Mine Drainage; Isi:000079485400004; file:///C:/Dokumente%20und%20Einstellungen/Stefan/Eigene%20Dateien/Artikel/10197.pdf; AMD ISI | Wolkersdorfer |
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CBU @ c.wolke @ 10197 |
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50 |
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Author |
Banks, D.; Younger, P.L.; Arnesen, R.-T.; Iversen, E.R.; Banks, S.B. |
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Title |
Mine-water chemistry: The good, the bad and the ugly |
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Journal Article |
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Year |
1997 |
Publication |
Environ. Geol. |
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32 |
Issue |
3 |
Pages |
157-174 |
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mine water treatment mine-water chemistry acid mine drainage mine-water pollution mine-water treatment county-durham drainage movements Pollution and waste management non radioactive Groundwater problems and environmental effects mine drainage contamination hydrogeochemistry mine water drainage acid mine drainage |
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Abstract |
Contaminative mine drainage waters have become one of the major hydrogeological and geochemical problems arising from mankind's intrusion into the geosphere. Mine drainage waters in Scandinavia and the United Kingdom are of three main types: (1) saline formation waters; (2) acidic, heavy-metal-containing, sulphate waters derived from pyrite oxidation, and (3) alkaline, hydrogen-sulphide-containing, heavy-metal-poor waters resulting from buffering reactions and/or sulphate reduction. Mine waters are not merely to be perceived as problems, they can be regarded as industrial or drinking water sources and have been used for sewage treatment, tanning and industrial metals extraction. Mine-water problems may be addressed by isolating the contaminant source, by suppressing the reactions releasing contaminants, or by active or passive water treatment. Innovative treatment techniques such as galvanic suppression, application of bactericides, neutralising or reducing agents (pulverised fly ash-based grouts, cattle manure, whey, brewers' yeast) require further research. |
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D. Banks, Norges Geologiske Undersokelse, Postboks 3006 – Lade, N-7002 Trondheim, Norway |
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0943-0105 |
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Oct.; Mine-water chemistry: The good, the bad and the ugly; 0337169; Germany 78; file:///C:/Dokumente%20und%20Einstellungen/Stefan/Eigene%20Dateien/Artikel/10620.pdf; Geobase |
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CBU @ c.wolke @ 10620 |
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18 |
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Ntengwe, F.W. |
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An overview of industrial wastewater treatment and analysis as means of preventing pollution of surface and underground water bodies – The case of Nkana Mine in Zambia |
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Journal Article |
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Year |
2005 |
Publication |
Phys. Chem. Earth |
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30 |
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11-16 Spec. Iss. |
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726-734 |
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mine water treatment Groundwater problems and environmental effects Pollution and waste management non radioactive geomechanics abstracts: excavations (77 10 10) geological abstracts: environmental geology (72 14 2) wastewater pollution control acid mine drainage Hyacinthus Zambia Southern Africa Sub Saharan Africa Africa Eastern Hemisphere World |
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The wastewaters coming from mining operations usually have low pH (acidic) values and high levels of metal pollutants depending on the type of metals being extracted. If unchecked, the acidity and metals will have an impact on the surface water. The organisms and plants can adversely be affected and this renders both surface and underground water unsuitable for use by the communities. The installation of a treatment plant that can handle the wastewaters so that pH and levels of pollutants are reduced to acceptable levels provides a solution to the prevention of polluting surface and underground waters and damage to ecosystems both in water and surrounding soils. The samples were collected at five points and analyzed for acidity, total suspended solids, and metals. It was found that the pH fluctuated between pH 2 when neutralization was forgotten and pH 11 when neutralization took place. The levels of metals that could cause impacts to the water ecosystem were found to be high when the pH was low. High levels of metals interfere with multiplication of microorganisms, which help in the natural purification of water in stream and river bodies. The fish and hyacinth placed in water at the two extremes of pH 2 and pH 11 could not survive indicating that wastewaters from mining areas should be adequately treated and neutralized to pH range 6-9 if life in natural waters is to be sustained. < copyright > 2005 Elsevier Ltd. All rights reserved. |
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F.W. Ntengwe, Copperbelt University, School of Technology, P.O. Box 21692, Kitwe, Zambia fntengwe@cbu.ac.zm |
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1474-7065 |
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Review; An overview of industrial wastewater treatment and analysis as means of preventing pollution of surface and underground water bodies – The case of Nkana Mine in Zambia; 2790318; United-Kingdom 23; file:///C:/Dokumente%20und%20Einstellungen/Stefan/Eigene%20Dateien/Artikel/10301.pdf; Geobase |
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CBU @ c.wolke @ 17497 |
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24 |
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Juby, G.J.G.; Schutte, C.F. |
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Title |
Membrane Life in a Seeded-slurry Reverse Osmosis System |
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Journal Article |
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Year |
2000 |
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Water Sa |
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26 |
Issue |
2 |
Pages |
239-248 |
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mine water treatment desalination |
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Membrane replacement can be a major operating cost of a membrane plant. During the development of a novel desalination technique (the SPARRO process) for treating calcium sulphate scaling mine waters the expected life of tubular cellulose acetate membranes operating in the seeded-slurry mode was investigated.During four operating phases of the plant over a five-year period more than 9 000 h of operating data were obtained. Performance data showed that each operating phase was dominated by either membrane fouling or membrane hydrolysis. Membrane fouling was observed to begin near the front-end of the membrane stack and proceed towards the back. Hydrolysis, on the other hand, occurred first in the tail end of the stack and moved backwards towards the Front end modules. Although two detailed membrane autopsies were carried out no definitive statement can be made in respect of the causes of either membrane hydrolysis or membrane fouling. However, suggestions are presented to explain the observed fouling phenomenon in relation to the turbidity of the pretreated feed water and the presence of chlorine. It is proposed that the presence of radioactive isotopes in the mine water which become concentrated in the process contributes to the observed membrane hydrolysis. A membrane life of up to two years is projected for an improved pretreatment arrangement. |
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0378-4738 |
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Membrane Life in a Seeded-slurry Reverse Osmosis System; Isi:000087101400013; file:///C:/Dokumente%20und%20Einstellungen/Stefan/Eigene%20Dateien/Artikel/9715.pdf; AMD ISI | Wolkersdorfer |
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CBU @ c.wolke @ 9715 |
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8 |
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Tarutis Jr, W.J.; Stark, L.R.; Williams, F.M. |
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Title |
Sizing and performance estimation of coal mine drainage wetlands |
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Journal Article |
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Year |
1999 |
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Ecological Engineering |
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12 |
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3-4 |
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353-372 |
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mine water treatment coal mine drainage constructed wetlands efficiency first-order removal loading rate removal kinetics sizing zero-order removal constructed wetlands water-quality iron kinetics removal model phosphorus retention mechanism design Wetlands and estuaries geographical abstracts: physical geography hydrology (71 6 8) acid mine drainage effluent performance assessment remediation wetland management |
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The effectiveness of wetland treatment of acid mine drainage (AMD) was assessed using three measures of performance: treatment efficiency, area-adjusted removal, and first-order removal. Mathematical relationships between these measures were derived from simple kinetic equations. Area-adjusted removal is independent of pollutant concentration (zero-order reaction kinetics), while first-order removal is dependent on concentration. Treatment efficiency is linearly related to area-adjusted removal and exponentially related to first-order removal at constant hydraulic loading rates (flow/area). Examination of previously published data from 35 natural AMD wetlands revealed that statistically significant correlations exist between several of the performance measures for both iron and manganese removal, but these correlations are potentially spurious because these measures are derived from, and are mathematical rearrangements of, the same operating data. The use of treatment efficiency as a measure of performance between wetlands is not recommended because it is a relative measure that does not account for influent concentration differences. Area-adjusted removal accounts for mass loading effects, but it fails to separate the flow and concentration components, which is necessary if removal is first-order. Available empirical evidence suggests that AMD pollutant removal is better described by first-order kinetics. If removal is first-order, the use of area-adjusted rates for determining the wetland area required for treating relatively low pollutant concentrations will result in undersized wetlands. The effects of concentration and flow rate on wetland area predictions for constant influent loading rates also depend on the kinetics of pollutant removal. If removal is zero-order, the wetland area required to treat a discharge to meet some target effluent concentration is a decreasing linear function of influent concentration (and an inverse function of flow rate). However, if removal is first-order, the required wetland area is a non-linear function of the relative influent concentration. Further research is needed for developing accurate first-order rate constants as a function of influent water chemistry and ecosystem characteristics in order to successfully apply the first-order removal model to the design of more effective AMD wetland treatment systems. |
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W.J. Tarutis Jr., Department of Natural Science, Lackawanna Junior College, 501 Vine Street, Scranton, PA 18509, United States |
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0925-8574 |
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Feb.; Sizing and performance estimation of coal mine drainage wetlands; 0427766; Netherlands 46; file:///C:/Dokumente%20und%20Einstellungen/Stefan/Eigene%20Dateien/Artikel/10596.pdf; Geobase |
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CBU @ c.wolke @ 10596 |
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25 |
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