Using distributed temperature sensing (DTS) for locating and characterising infiltration and inflow into foul sewers before, during and after snowmelt period
Oleksandr Panasiuk (Luleå University of Technology)
Annelie Hedström (Luleå University of Technology)
Jeroen G. Langeveld (TU Delft - Sanitary Engineering, Partners4UrbanWater)
Cornelis de Haan (Partners4UrbanWater)
Erik Liefting (Partners4UrbanWater)
Rémy Schilperoort (Partners4UrbanWater)
Maria Viklander (Luleå University of Technology)
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Abstract
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.
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