Gradient method
The heat transport by seepage currents is very effective and the temperature distribution in the subsurface is clearly influenced by the inflowing water within a short time. If the temperature difference between water and ground temperature is large enough, seepage currents can usually be clearly detected and localised by fibre-optic measurements due to their high information density. The temperature distribution in reservoirs and the subsurface reacts in a phase-shifted manner to seasonal changes in the ambient temperature, which means that the required temperature difference usually exists. This method, known as the gradient method, has proven itself in many applications all over the world to detect seepage infiltrations.
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GTC Publications
- 2015 Temperature Monitoring of Multiple Borehole Heat Exchangers
- 2020_WaWi_2020_09_Rosshaupten
- 2017 DTS Fabritius
- 2016 Dornstädter, Retrofit
- 2015 Dornstädter, LEAKAGE DETECTION TEMPERATURE AS A TRACER
- 2015 Dornstädter, Temperaturmessung im Wasserbau – Sichere Überwachung von Dämmen und Deichen seit mehr als 60 Jahren
- 2014 Dornstädter, Full Automatic Leakage Detection at Ilisu Dam by the Use of Fibre Optics
- 2011 Aufleger, Distributed fiber optic temperature measurements in embankment dams with central core – new benchmark for seepage monitoring
- 2010 Heske Der Enhanced-Geothermal-ResponseTest als Auslegungsgrundlage und Optimierungstool
- 2010 Dornstädter In Situ Detection of Internal Erosion
- 2009 Aufleger DFOT monitoring in CFRDs – Technical gimmick or useful complementary monitoring system?
- 2021 New solutions for remote monitoring of pre-cast concrete service reservoir and sludge lagoon