Urban domestic wastewater: how to reduce individual injection?

Philippe Polome (), Emmanuel Mignot (), Amine Nasri, Gislain Lipeme Kouyi (), Laurence Campan, Corinne Hooge and Nicolas Rivière ()
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Emmanuel Mignot: LMFA - Laboratoire de Mecanique des Fluides et d'Acoustique - ECL - École Centrale de Lyon - Université de Lyon - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées - CNRS - Centre National de la Recherche Scientifique
Amine Nasri: LMFA - Laboratoire de Mecanique des Fluides et d'Acoustique - ECL - École Centrale de Lyon - Université de Lyon - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées - CNRS - Centre National de la Recherche Scientifique
Gislain Lipeme Kouyi: DEEP - Déchets Eaux Environnement Pollutions - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées
Laurence Campan: Grand Lyon - Grand Lyon : communauté urbaine de Lyon
Corinne Hooge: Grand Lyon - Grand Lyon : communauté urbaine de Lyon
Nicolas Rivière: LMFA - Laboratoire de Mecanique des Fluides et d'Acoustique - ECL - École Centrale de Lyon - Université de Lyon - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées - CNRS - Centre National de la Recherche Scientifique

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Abstract: 12 The present paper aims to identify ways to reduce pollution injected by residents in the urban 13 wastewaters network system. Two approaches are considered. The first one uses flow and 14 pollutant calculation to test whether a polluter can easily be identified in a neighborhood. The 15 second approach uses a survey to examine what incentive would be most effective to 16 influence residents' behavior. Hydrodynamic simulation results show that concentration 17 profiles at the network outlet corresponding to all possible polluters are similar and thus do 18 not point out specific resident source of pollution. Household level survey results show that 19 most socioeconomic and public good-related characteristics do not play a significant role in 20 explaining choices to discard in the home wastewaters network. Apart from the nature of the 21 waste itself, by far, the belief that the respondent has about her neighbors' and relatives' 22 discarding behavior is the main driver of the choice. 23 24

Keywords: Reynolds timeaveraged Navier-Stokes; sewage hydrodynamic simulation; Household wastewaters behavior; Panel-data logit; Prosocial behavior; Sewage 25 Hydrodynamic Simulation; Reynolds time-Averaged Navier-Stokes 26 27 (search for similar items in EconPapers)
Date: 2016
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01233635v1
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Published in Water Science and Technology, 2016, 73 (1), pp. 144-152. ⟨10.2166/wst.2015.473⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-01233635

DOI: 10.2166/wst.2015.473

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