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Optimum positioning of wastewater treatment plants in a river network: A model-based approach to minimize microbial pollution.
Mishra, Sulagna; Kneis, David; Berendonk, Thomas U; Aubeneau, Antoine.
Afiliação
  • Mishra S; Institute of Hydrobiology, TU Dresden, Zellescher Weg 40, Dresden 01217, Germany; Lyles School of Civil Engineering, Purdue University, 550 W Stadium Ave, West Lafayette, IN 47907, USA. Electronic address: sulagna.mishra@tu-dresden.de.
  • Kneis D; Institute of Hydrobiology, TU Dresden, Zellescher Weg 40, Dresden 01217, Germany.
  • Berendonk TU; Institute of Hydrobiology, TU Dresden, Zellescher Weg 40, Dresden 01217, Germany.
  • Aubeneau A; Lyles School of Civil Engineering, Purdue University, 550 W Stadium Ave, West Lafayette, IN 47907, USA.
Sci Total Environ ; 691: 1310-1319, 2019 Nov 15.
Article em En | MEDLINE | ID: mdl-31466210
ABSTRACT
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%.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Poluição da Água / Eliminação de Resíduos Líquidos / Monitoramento Ambiental / Modelos Estatísticos / Rios Tipo de estudo: Risk_factors_studies Idioma: En Revista: Sci Total Environ Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Poluição da Água / Eliminação de Resíduos Líquidos / Monitoramento Ambiental / Modelos Estatísticos / Rios Tipo de estudo: Risk_factors_studies Idioma: En Revista: Sci Total Environ Ano de publicação: 2019 Tipo de documento: Article