Pang Liping
Institute of Environmental Science and Research Ltd., P.O. Box 29181, Christchurch, New Zealand.
J Environ Qual. 2009 Jun 23;38(4):1531-59. doi: 10.2134/jeq2008.0379. Print 2009 Jul-Aug.
Information about the microbial removal efficiencies of subsurface media is essential for assessing the risk of water contamination, estimating setback distances between disposal fields and receiving waters, and selecting suitable sites for wastewater reclamation. By analyzing published data from field experiments and large intact soil cores, an extensive database of microbial removal rates was established for a wide range of subsurface media. High microbial removal rates were found in volcanic soils, pumice sand, fine sand, and highly weathered aquifer rocks. Low removal rates were found in structured clayey soils, stony soils, coarse gravel aquifers, fractured rocks, and karst limestones. Removal rates were lower for enteroviruses than for other human viruses; for MS2 phage than for other phage species; for waste-associated microbes than for those cultivated in the laboratory; and for contaminated media than for uncontaminated media. Microbial removal rates are inversely correlated with infiltration rates and transport velocity. The assumption of first-order law, or a constant removal rate (when the transport scale reaches a representative elementary volume), is appropriate for most of field data analyzed. However 30% of the datasets (26 out of 87 pairs) are better described with the power law, implying reduced removal rates with transport distance. The latter is most prominent for organically contaminated media, especially in relatively fine aquifer media. The presence of organic matter, heterogeneity in microbial properties, change in solution chemistry, detachment, and physical straining, may have caused the discrepancies from the first-order law traditionally used in transport models for describing microbial removal.
了解地下介质的微生物去除效率对于评估水污染风险、估算处理场与受纳水体之间的安全距离以及选择合适的废水回收场地至关重要。通过分析已发表的现场实验和大型完整土壤芯的数据,建立了一个广泛的地下介质微生物去除率数据库。在火山土壤、浮石砂、细砂和高度风化的含水层岩石中发现了较高的微生物去除率。在结构化粘性土壤、石质土壤、粗砾含水层、裂隙岩石和岩溶石灰岩中发现去除率较低。肠道病毒的去除率低于其他人类病毒;MS2噬菌体的去除率低于其他噬菌体种类;与实验室培养的微生物相比,与废物相关的微生物去除率较低;受污染介质的去除率低于未受污染介质。微生物去除率与渗透率和运移速度呈负相关。对于大多数分析的现场数据,一级定律或恒定去除率(当运移尺度达到代表性单元体积时)的假设是合适的。然而,30%的数据集(87对中的26对)用幂律能更好地描述,这意味着去除率随运移距离降低。后者在有机污染介质中最为明显,尤其是在相对较细的含水层介质中。有机物的存在、微生物特性的异质性、溶液化学的变化、脱离和物理过滤,可能导致了与传统用于描述微生物去除的运移模型中的一级定律存在差异。