首页> 外文期刊>Journal of the American Water Resources Association >ENHANCING FECAL COLIFORM TOTAL MAXIMUM DAILY LOAD MODELS THROUGH BACTERIAL SOURCE TRACKING
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ENHANCING FECAL COLIFORM TOTAL MAXIMUM DAILY LOAD MODELS THROUGH BACTERIAL SOURCE TRACKING

机译:通过细菌源跟踪来增强粪便大肠菌群的最大每日最大负荷模型

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摘要

Surface water impairment by fecal coliform bacteria is a water quality issue of national scope and importance. In Virginia, more than 400 stream and river segments are on the Commonwealth's 2002 303(d) list because of fecal coliform impairment. Total maximum daily loads (TMDLs) will be developed for most of these listed streams and rivers. Information regarding the major fecal coliform sources that impair surface water quality would enhance the development of effective watershed models and improve TMDLs. Bacterial source tracking (BST) is a recently developed technology for identifying the sources of fecal coliform bacteria and it may be helpful in generating improved TMDLs. Bacterial source tracking was performed, watershed models were developed, and TMDLs were prepared for three streams (Accotink Creek, Christians Creek, and Blacks Run) on Virginia's 303(d) list of impaired waters. Quality assurance of the BST work suggests that these data adequately describe the bacteria sources that are impairing these streams. Initial comparison of simulated bacterial sources with the observed BST data indicated that the fecal coliform sources were represented inaccurately in the initial model simulation. Revised model simulations (based on BST data) appeared to provide a better representation of the sources of fecal coliform bacteria in these three streams. The coupled approach of incorporating BST data into the fecal coliform transport model appears to reduce model uncertainty and should result in an improved TMDL.
机译:粪大肠菌对地表水的损害是国家范围和重要性的水质问题。在维吉尼亚州,由于粪便大肠菌群受损,在英联邦的2002 303(d)清单中列出了400多个河流和河流段。将为大多数列出的溪流和河流制定总最大日负荷量(TMDL)。有关会损害地表水水质的主要粪便大肠菌源的信息将促进有效分水岭模型的开发并改善TMDL。细菌来源跟踪(BST)是一种用于识别粪便大肠菌群细菌来源的最新技术,它可能有助于产生改良的TMDL。进行了细菌来源跟踪,开发了分水岭模型,并为弗吉尼亚州303(d)受损水域清单上的三个溪流(Accotink Creek,Christians Creek和Blacks Run)准备了TMDL。 BST工作的质量保证表明,这些数据充分描述了正在损害这些水流的细菌来源。模拟细菌来源与观察到的BST数据的初步比较表明,在初始模型模拟中粪便大肠菌来源不正确。修改后的模型模拟(基于BST数据)似乎可以更好地表示这三种流中粪大肠菌的来源。将BST数据整合到粪大肠菌群运输模型中的耦合方法似乎可以减少模型的不确定性,并应改善TMDL。

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