The development of a continuous model to simulate the behaviour of sewer systems requires detailed information on each component of the flows contributing to the global discharge. In this paper authors investigate a novel method based on signal processing and long time series data implemented with a 2 min time step (flow rate, conductivity, pH and turbidity) in order to identify the dry weather components in a separated stormwater sewer system draining an industrial catchment. The wavelet analysis is applied to the recorded data to identify main components in dry weather flow after the removing of the signal noise. This paper highlights also a method to detect inflow into sewer system and shows how hydrological modelling can be used to characterise the relevant components. These techniques could be used as a basis for several applications.
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Research Article|
July 01 2010
Sewer system flow components identification using signal processing
F. A. Dorval;
1Université de Lyon, INSA Lyon, LGCIE—Laboratoire de Génie Civil et d'Ingénierie Environnementale, 34 avenue des arts, F-69621 Villeurbanne Cedex, France E-mail: farah-altagracia.dorval@insa-lyon.fr; bernard.chocat@insa-lyon.fr; gislain.lipeme-kouyi@insa-lyon.fr
2Université Quisqueya—Laboratoire de Qualité de l'Eau et de l'Environnement, Angle rue Charéron et boulevard Harry-Truman, BP 796 Port-au-Prince, Haïti E-mail: evens.emmanuel@gmail.com
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B. Chocat;
B. Chocat
1Université de Lyon, INSA Lyon, LGCIE—Laboratoire de Génie Civil et d'Ingénierie Environnementale, 34 avenue des arts, F-69621 Villeurbanne Cedex, France E-mail: farah-altagracia.dorval@insa-lyon.fr; bernard.chocat@insa-lyon.fr; gislain.lipeme-kouyi@insa-lyon.fr
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E. Emmanuel;
E. Emmanuel
2Université Quisqueya—Laboratoire de Qualité de l'Eau et de l'Environnement, Angle rue Charéron et boulevard Harry-Truman, BP 796 Port-au-Prince, Haïti E-mail: evens.emmanuel@gmail.com
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G. Lipeme Kouyi
G. Lipeme Kouyi
1Université de Lyon, INSA Lyon, LGCIE—Laboratoire de Génie Civil et d'Ingénierie Environnementale, 34 avenue des arts, F-69621 Villeurbanne Cedex, France E-mail: farah-altagracia.dorval@insa-lyon.fr; bernard.chocat@insa-lyon.fr; gislain.lipeme-kouyi@insa-lyon.fr
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Water Sci Technol (2010) 62 (1): 106–114.
Citation
F. A. Dorval, B. Chocat, E. Emmanuel, G. Lipeme Kouyi; Sewer system flow components identification using signal processing. Water Sci Technol 1 July 2010; 62 (1): 106–114. doi: https://doi.org/10.2166/wst.2010.281
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