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Watershed-Scale Fate and Transport of Bacteria

机译:分水岭规模的命运和细菌的运输

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摘要

The added dimensionality provided by using multiple models to predict the fate and transport of bacteria at the watershed scale were investigated. Both HSPF and SWAT were applied to the 15.6 km 2 catchment K of the Little River Experimental Watershed (LREW) in Georgia. Over the seven-year period from 1996 to 2002, SWAT provided a more accurate description of fecal coliform concentrations, with an NSE of 0.73 compared to 0.33 for HSPF. For this particular watershed, the SWAT process equations are more representative of the watershed-scale fate and transport of bacteria than the HSPF process equations. Based on this comparative analysis, it can be inferred that elevated levels of fecal coliform in the receiving stream are primarily due to in-stream sources. This source characterization could not be achieved by using only the HSPF model, which indicates a much greater contribution from groundwater and terrestrial nonpoint sources. A model-averaging approach in which a weighted average of the HSPF and SWAT predictions are used to predict bacteria concentrations in the receiving stream demonstrates that model weights can be determined such that the NSE of the combined models will be greater than either of the models taken individually. However, in the present case, the marginal improvements in NSE obtained through this integration were small
机译:通过使用多种模型来预测分水岭规模的细菌的命运和运输,我们研究了增加的维数。 HSPF和SWAT都应用于佐治亚州小河实验流域(LREW)的15.6 km 2 流域K。在1996年至2002年的7年中,SWAT对粪便大肠菌浓度的描述更为准确,NSE为0.73,而HSPF为0.33。对于这个特定的分水岭,SWAT过程方程比HSPF过程方程更能代表分水岭规模的命运和细菌的转移。根据此比较分析,可以推断出接收流中粪便大肠菌水平的升高主要归因于流内来源。仅使用HSPF模型无法实现这种水源特征,这表明地下水和地面非点源的贡献更大。使用HSPF和SWAT预测值的加权平均值来预测接收流中细菌浓度的模型平均方法表明,可以确定模型权重,以使组合模型的NSE大于所采用的任何一个模型个别地。但是,在当前情况下,通过这种整合所获得的NSE的边际改进很小

著录项

  • 来源
    《Transactions of the ASABE》 |2009年第1期|p.145-154|共10页
  • 作者单位

    David A. Chin, Professor, Department of Civil Engineering, University of Miami, Coral Gables, Florida;

    Donna Sakura-Lemessy, Assistant Professor, Department of Natural Sciences, Albany State University, Albany, Georgia;

    David D. Bosch, ASABE Member, Research Hydraulic Engineer, USDA-ARS Southeast Watershed Research Laboratory, Tifton, Georgia;

    and Paige A. Gay, Assistant Research Scientist, Department of Biological and Agricultural Engineering, University of Georgia, Tifton, Georgia. Corresponding author: David A. Chin, Department of Civil Engineering, 1251 Memorial Dr., University of Miami, Coral Gables, FL 33124;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Bacteria; Fecal coliform; HSPF; Hydrology; Modeling; SWAT; Watershed;

    机译:菌;粪大肠菌群;HSPF;水文学;造型;扑打;分水岭;

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