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An Evaluation of Indicator Bacteria Transport in Stormwater Runoff and Removal in Stormwater Control Measures.

机译:雨水径流中指示性细菌运输的评估以及雨水控制措施中的去除方法。

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摘要

Microbial quality in surface waters is a concern across the United States, Europe, Australia, and elsewhere due to human reliance on surface waters for food, recreation, and other life sustaining activities. Although pathogens are of utmost concern, indicator bacteria are typically used for regulatory purposes to indicate the presence of fecal matter, and thus the possible existence of pathogens. Total Maximum Daily Loads are established for surface waters impacted by excessive indicator bacteria. Analyses are required to categorize sources of indicator bacteria, and a plan is developed to restore water quality in the impacted water by way of various management/control practices. Stormwater runoff has been shown to have high indicator bacteria concentrations, contributing to microbial degradation in surface waters.;Although numerous studies have been performed to establish patterns of indicator bacteria transport and export in estuarine and riverine systems, relatively little research has been performed for urban stormwater (prior to runoff entering surface water). Chapter 2 provides an analysis of variables which may influence indicator bacteria export from an urban watershed. Event Mean Concentrations (EMCs) of E. coli and fecal coliform exhibited significant seasonal variation (p 0.05). Based on multiple linear regression analyses, EMCs were also influenced by antecedent meteorological conditions, with temperature and moisture being important in explaining variability among sampling events. Further analysis in Chapter 3 provided a traditional first flush assessment of data collected from the urban watershed. Although total suspended solids (TSS) exhibited a first flush in the watershed, no first flush effect was noted for E. coli and enterococci, and the first flush effect for fecal coliform was relatively weak. Seasonal variations in first flush strength were observed, likely due to differences in pollutant sources between seasons. These studies emphasized the importance of seasonality and antecedent conditions in indicator bacteria transport and export from urban watersheds. Further, the lack of a substantial first flush effect suggests stormwater control measures ("SCMs," also known as Best Management practices or "BMPs") cannot sequester proportionally more indicator bacteria as a result of greater mass delivery during the beginning of storm events.;Stormwater runoff is typically managed by implementation of SCMs. Although SCMs have been shown to sequester numerous pollutants, relatively little is known regarding their ability to sequester indicator bacteria. The effectiveness of SCMs in Charlotte, NC, and Wilmington, NC, was examined in Chapters 4 and 5, respectively. Differences in performance were noted between the two locations, potentially due to differences in particle association of indicator bacteria between the relatively clayey soils in Charlotte, NC, and the sandy soils in Wilmington, NC. High water tables in Wilmington, NC, likely also influenced results, particularly for wet ponds. Although some SCMs showed statistically significant reductions of indicator bacteria (p 0.05), some SCMs appeared to export indicator bacteria. Further, effluent indicator bacteria concentrations were observed to vary seasonally. Well performing filtration/infiltration-based SCMs were examined in both locations; however, a paired watershed study in Wilmington, NC, showed differing performance between two bioretention cells. These differences were explored in Chapter 6, and soil media depth was identified as the most likely difference between the two cells leading to differences in indicator bacteria sequestration. These data suggest SCMs do possess treatment mechanisms which are effective at sequestering indicator bacteria; however, an environment may be present in some SCMs which allows indicator bacteria to persist and/or regrow. Infiltration-based SCMs offer some advantage, as mass removal of indicator bacteria can be realized through infiltration of runoff into subsoils. However, the impact of these practices on groundwater microbial quality should be investigated. For bioretention cells, a minimum soil media depth appears to exist, below which poor sequestration of indicator bacteria may occur due to high soil water flux and low contact time. Finally, seasonal variations in effluent indicator bacteria concentrations from SCMs should be considered in TMDLs.
机译:由于人类对地表水进行食物,娱乐和其他维持生命活动的依赖,因此在美国,欧洲,澳大利亚和其他地区,地表水中的微生物质量受到关注。尽管病原体是最令人关注的问题,但指示菌通常用于调节目的,以指示粪便的存在,从而指示病原体的可能存在。针对受指示剂细菌过多影响的地表水确定了总最大日负荷量。需要进行分析以对指示细菌的来源进行分类,并制定了一项计划,以通过各种管理/控制措施来恢复受影响水的水质。雨水径流已被证明具有较高的指示细菌浓度,有助于地表水中的微生物降解。尽管进行了大量研究以建立指示细菌在河口和河流系统中的运输和出口模式,但对城市的研究却相对较少雨水(径流进入地表水之前)。第2章对可能影响指示性细菌从城市流域输出的变量进行了分析。大肠杆菌和粪大肠菌的事件平均浓度(EMC)表现出明显的季节性变化(p <0.05)。基于多个线性回归分析,EMC还受到先前气象条件的影响,温度和湿度对于解释采样事件之间的变异性很重要。第3章中的进一步分析对从城市流域收集的数据进行了传统的首次冲洗评估。尽管总悬浮固体(TSS)在分水岭上表现出第一次潮红,但对大肠杆菌和肠球菌却没有看到第一次潮红作用,而对粪大肠菌群的第一次潮红作用相对较弱。观察到第一冲洗强度的季节性变化,可能是由于季节之间污染物来源的差异。这些研究强调了季节性和前期条件对指示性细菌从城市集水区运输和出口的重要性。此外,缺乏实质性的第一冲水效果表明,雨水控制措施(“ SCM”,也称为“最佳管理实践”或“ BMP”)由于在暴雨事件开始期间大量输送而无法按比例隔离更多的指示细菌。 ;暴雨径流通常由供应链管理实现。尽管已显示SCM可以螯合多种污染物,但关于它们螯合指示细菌的能力知之甚少。在第4章和第5章中分别检查了北卡罗来纳州夏洛特市和北卡罗来纳州威明顿市SCM的有效性。注意到这两个位置之间的性能差异,可能是由于北卡罗来纳州夏洛特和北卡罗来纳州威明顿的沙质土壤之间指示菌的颗粒缔合存在差异。北卡罗来纳州威尔明顿的地下水位过高也可能会影响结果,尤其是对于湿池塘。尽管一些SCM在统计上显示出指示菌的减少(p <0.05),但一些SCM似乎在输出指示菌。此外,观察到流出指示剂细菌的浓度随季节变化。在两个地方都检查了过滤/渗透性能良好的SCM。然而,在北卡罗来纳州威尔明顿市进行的一项分水岭研究表明,两个生物滞留池之间的性能不同。这些差异在第6章中进行了探讨,土壤介质深度被确定为是两种细胞之间最有可能的差异,从而导致指示菌的隔离。这些数据表明,SCM确实具有有效隔离指示细菌的治疗机制。但是,某些SCM中可能存在允许指示菌持续存在和/或再生的环境。基于渗透的SCM具有一些优势,因为可以通过径流渗入地下土壤来实现指示菌的大量去除。但是,应研究这些做法对地下水微生物质量的影响。对于生物保留池,似乎存在最小的土壤介质深度,在该深度以下,由于高的土壤水通量和较短的接触时间,可能会导致指示细菌的隔离不良。最后,应在TMDL中考虑来自SCM的污水指示菌浓度的季节性变化。

著录项

  • 作者

    Hathaway, Jon Michael.;

  • 作者单位

    North Carolina State University.;

  • 授予单位 North Carolina State University.;
  • 学科 Engineering Agricultural.;Engineering Environmental.;Engineering Civil.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 225 p.
  • 总页数 225
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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