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首页> 外文期刊>The Science of the Total Environment >Optimum positioning of wastewater treatment plants in a river network: A model-based approach to minimize microbial pollution
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Optimum positioning of wastewater treatment plants in a river network: A model-based approach to minimize microbial pollution

机译:河网中废水处理厂的最佳位置:一种基于模型的方法,可最大程度地减少微生物污染

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Microbial pollution in river networks is widespread, threatening human health and activities. Wastewater treatment plants are a major source of microbial pollution that affects downstream communities. We propose a simple modeling approach to identify possible hot-spots of microbial pollution in river networks receiving treated wastewater. We consider every reach in a river network as a potential site for the disposal of treated wastewater and we identify the corresponding section of the downstream river where the concentration of indicator bacteria exceeds a prescribed threshold value. In this paper, we introduce the methodology and demonstrate its application to a small river basin (Lockwitzbach, Germany). We computed the lengths of the polluted river sections for different scenarios in order to separately identify the impacts of hydrological boundary conditions and bacterial retention processes. Effective parameters describing bacterial retention were inferred from field samples. The proposed modeling approach can be used to generate dynamic maps of safe and vulnerable zones in a river network. Our approach helps disentangle the effects of network structure, hydrological variability and in-stream processes on the location and length of unsafe river sections. Our model can be used to identify optimal sites for the discharge of treated wastewater. For example, in the Lockwitzbach basin, we show that relocating the existing effluent discharge could reduce the stream length affected by severe microbial pollution by almost 30%. (c) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
机译:河网中的微生物污染十分普遍,威胁着人类的健康和活动。废水处理厂是影响下游社区的微生物污染的主要来源。我们提出了一种简单的建模方法,以确定接收已处理废水的河网中可能存在的微生物污染热点。我们将河网中的每个河段视为处置经过处理的废水的潜在场所,并确定下游河流中指示菌浓度超过规定阈值的相应部分。在本文中,我们介绍了该方法,并演示了其在小流域(洛克维茨巴赫,德国)中的应用。我们计算了不同情况下受污染河段的长度,以便分别确定水文边界条件和细菌滞留过程的影响。从野外样本中推断出描述细菌滞留的有效参数。所提出的建模方法可用于生成河网中安全和脆弱区域的动态地图。我们的方法有助于弄清网络结构,水文变异性和河道过程对不安全河段的位置和长度的影响。我们的模型可用于确定处理废水排放的最佳位置。例如,在洛克维茨巴赫盆地,我们表明,重新布置现有的废水排放可以将受到严重微生物污染影响的河流长度减少近30%。 (c)2019作者。由Elsevier B.V.发布。这是CC BY-NC-ND许可(http://creativecommons.org/licenses/by-nc-nd/4.0/)下的开放获取文章。

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