التفاصيل البيبلوغرافية
| العنوان: |
Using Distributed Temperature Sensing (DTS) for Locating and Characterising Infiltration and Inflow into Foul Sewers before, during and after Snowmelt Period |
| المؤلفون: |
Oleksandr Panasiuk, Annelie Hedström, Jeroen Langeveld, Cornelis de Haan, Erik Liefting, Remy Schilperoort, Maria Viklander |
| المصدر: |
Water; Volume 11; Issue 8; Pages: 1529 |
| بيانات النشر: |
Multidisciplinary Digital Publishing Institute |
| سنة النشر: |
2019 |
| المجموعة: |
MDPI Open Access Publishing |
| مصطلحات موضوعية: |
distributed temperature sensing, infiltration and inflow, snowmelt, foul sewers |
| جغرافية الموضوع: |
agris |
| الوصف: |
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. |
| نوع الوثيقة: |
text |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| Relation: |
Urban Water Management; https://dx.doi.org/10.3390/w11081529 |
| DOI: |
10.3390/w11081529 |
| الاتاحة: |
https://doi.org/10.3390/w11081529 |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: |
edsbas.DAD158E7 |
| قاعدة البيانات: |
BASE |