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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

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Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, 971 87 Luleå, Sweden
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Department of Water Management, TU Delft, 2628 CN Delft, The Netherlands
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Partners4UrbanWater, 6532 ZV Nijmegen, The Netherlands
*
Author to whom correspondence should be addressed.
Water 2019, 11(8), 1529; https://doi.org/10.3390/w11081529
Received: 13 June 2019 / Revised: 22 July 2019 / Accepted: 23 July 2019 / Published: 24 July 2019
(This article belongs to the Section Urban Water Management)
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 is necessary in order to address the I/I problem. This paper focuses on using distributed temperature sensing (DTS) for identifying, locating and characterising I/I into a sewer system during the end of winter–beginning of summer transition period under dry and wet weather conditions. During snowmelt, several locations with I/I were identified, while these locations did not show I/I during storm 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 the type of I/I and in locating I/I. Finally, I/I monitoring campaigns in cold climates should take into account the variety of pathways of I/I during snowmelt and during rainfall. View Full-Text
Keywords: distributed temperature sensing; infiltration and inflow; snowmelt; foul sewers distributed temperature sensing; infiltration and inflow; snowmelt; foul sewers
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Panasiuk, O.; Hedström, A.; Langeveld, J.; de Haan, C.; Liefting, E.; Schilperoort, R.; Viklander, M. Using Distributed Temperature Sensing (DTS) for Locating and Characterising Infiltration and Inflow into Foul Sewers before, during and after Snowmelt Period. Water 2019, 11, 1529.

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