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Using Distributed Temperature Sensing (DTS) for Locating and Characterising Infiltration and Inflow into Foul Sewers before, during and after Snowmelt Period
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Architecture and Water.ORCID iD: 0000-0003-3591-3689
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Architecture and Water.ORCID iD: 0000-0001-9541-3542
Department of Water Management, TU Delft. Partners4UrbanWater, The Netherlands.ORCID iD: 0000-0002-0170-6721
Partners4UrbanWater, The Netherlands.
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2019 (English)In: Water, ISSN 2073-4441, E-ISSN 2073-4441, Vol. 11, no 8, article id 1529Article in journal (Refereed) Published
Abstract [en]

Infiltration and inflow (I/I) into sewers cause negative effects on the sewer system,wastewater treatment plant and environment. Identifying the causes and locating the inflows isnecessary in order to address the I/I problem. This paper focuses on using distributed temperaturesensing (DTS) for identifying, locating and characterising I/I into a sewer system during the endof winter–beginning of summer transition period under dry and wet weather conditions. Duringsnowmelt, several locations with I/I were identified, while these locations did not show I/I duringstorm events after the snowmelt. In addition, during a very heavy storm after the snowmelt period,I/I was found at other locations. Therefore, DTS was demonstrated to be effective in identifying thetype of I/I and in locating I/I. Finally, I/I monitoring campaigns in cold climates should take intoaccount the variety of pathways of I/I during snowmelt and during rainfall.

Place, publisher, year, edition, pages
MDPI, 2019. Vol. 11, no 8, article id 1529
Keywords [en]
distributed temperature sensing, infiltration and inflow, snowmelt, foul sewers
National Category
Water Engineering
Research subject
Urban Water Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-75547DOI: 10.3390/w11081529ISI: 000484561500004Scopus ID: 2-s2.0-85070252913OAI: oai:DiVA.org:ltu-75547DiVA, id: diva2:1343226
Funder
Swedish Research Council Formas, 2012-618Vinnova, 2011-03232
Note

Validerad;2019;Nivå 2;2019-08-19 (marisr)

Available from: 2019-08-15 Created: 2019-08-15 Last updated: 2019-10-08Bibliographically approved

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