Neculita Carmen M, Zagury Gérald J
Department of Civil, Geological, and Mining Engineering, Ecole Polytechnique de Montréal, Succursale Centre-Ville, Montreal, QC, Canada.
J Hazard Mater. 2008 Sep 15;157(2-3):358-66. doi: 10.1016/j.jhazmat.2008.01.002. Epub 2008 Jan 8.
Passive bioreactors involving sulphate-reducing bacteria (SRB) are a practical alternative technology to treat acid mine drainage (AMD). Careful selection of the organic carbon source is important to ensure performance and long-term efficiency of the treatment. However, a rigorous and methodical characterization to predict the biodegradability of organic substrates by SRB still needs to be investigated. In the present study, four natural organic materials were thoroughly characterized to assess their ability to serve as substrates and to find a parameter that links organic carbon sources with their biodegradability. Three reactive mixtures were then comparatively evaluated for their performance to treat a highly contaminated AMD in long-term (152 days) batch experiments. All three mixtures were successful for sulphate reduction and metal (Fe, Ni, Cd, Zn, and Mn) removal (91.8-99.8%). Higher efficiencies were observed in the reactors with 30% (w/w) cellulosic wastes (maple wood chips and sawdust) which decreased sulphate concentrations from 5500 mg/L to <1mg/L, than in reactors with 2-3% cellulosic wastes, where final sulphate concentrations were in the range 2000-2750 mg/L. Organic material characterization indicated that higher C/N ratios, chemical oxygen demand (COD)/SO(4)(2-) ratios and dissolved organic carbon (DOC)/SO(4)(2-) ratios were associated with better sulphate-reducing conditions and metal removal. This work suggests that C/N and DOC/SO(4)(2-) ratios considered together are key parameters to assess the biodegradability of natural organic wastes under sulphate-reducing conditions.
涉及硫酸盐还原菌(SRB)的被动式生物反应器是处理酸性矿山排水(AMD)的一种实用替代技术。仔细选择有机碳源对于确保处理效果和长期效率至关重要。然而,仍需对通过SRB预测有机底物生物降解性进行严格且系统的表征研究。在本研究中,对四种天然有机材料进行了全面表征,以评估它们作为底物的能力,并找到一个将有机碳源与其生物降解性联系起来的参数。然后在长期(152天)的批次实验中,对三种反应混合物处理高度污染的AMD的性能进行了比较评估。所有三种混合物在硫酸盐还原和金属(铁、镍、镉、锌和锰)去除方面均取得成功(91.8 - 99.8%)。在含有30%(w/w)纤维素废料(枫木片和锯末)的反应器中观察到更高的效率,其将硫酸盐浓度从5500 mg/L降至<1mg/L,而在含有2 - 3%纤维素废料的反应器中,最终硫酸盐浓度在2000 - 2750 mg/L范围内。有机材料表征表明,较高的碳氮比、化学需氧量(COD)/硫酸根(2 - )比和溶解有机碳(DOC)/硫酸根(2 - )比与更好的硫酸盐还原条件和金属去除相关。这项工作表明,综合考虑碳氮比和DOC/硫酸根(2 - )比是评估硫酸盐还原条件下天然有机废物生物降解性的关键参数。