Using distributed temperature sensing (DTS) for locating and characterising infiltration and inflow into foul sewers before, during and after snowmelt period

Oleksandr Panasiuk, Annelie Hedström, Jeroen Langeveld, Cornelis de Haan, Erik Liefting, Remy Schilperoort, Maria Viklander

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
18 Downloads (Pure)

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.

Original languageEnglish
Article number1529
Number of pages12
JournalWater (Switzerland)
Volume11
Issue number8
DOIs
Publication statusPublished - 2019

Keywords

  • Distributed temperature sensing
  • Foul sewers
  • Infiltration and inflow
  • Snowmelt

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