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• W2065405710 abstract "Research Article| July 01 2010 Sewer system flow components identification using signal processing F. A. Dorval; 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.fr2Université 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 E-mail: farah-altagracia.dorval@insa-lyon.fr Search for other works by this author on: This Site PubMed Google Scholar 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 Search for other works by this author on: This Site PubMed Google Scholar 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 Search for other works by this author on: This Site PubMed Google Scholar 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 Search for other works by this author on: This Site PubMed Google Scholar Water Sci Technol (2010) 62 (1): 106–114. https://doi.org/10.2166/wst.2010.281 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Cite Icon Cite Permissions Search Site Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThis Journal Search Advanced Search 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 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex 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. dry weather flow, hydrological modelling, separated sewer, signal processing, time series data This content is only available as a PDF. © IWA Publishing 2010 You do not currently have access to this content." @default.
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• W2065405710 title "Sewer system flow components identification using signal processing" @default.
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