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Titel Capabilities, limitations and uncertainties of Fibre-optic Distributed Temperature Sensing (FO-DTS) for hydrological applications
VerfasserIn Stefan Krause, Theresa Blume, Liliana Rose, Nigel Cassidy
Konferenz EGU General Assembly 2013
Medientyp Artikel
Sprache Englisch
Digitales Dokument PDF
Erschienen In: GRA - Volume 15 (2013)
Datensatznummer 250077030
 
Zusammenfassung
FO-DTS has experienced rapid methodological development in recent years. The critical interpretation of uncertainties in FO-DTS monitoring requires a quantitative understanding of the impacts of signal-strength (the intensity of the temperature signal) and signal-size (the spatial extent of the temperature signal) on the accuracies of observed temperatures. This paper investigates the signal-size and signal-strength dependent accuracy of FO-DTS monitored temperatures for different experimental designs and monitoring conditions. It combines controlled lab experiments of variable signal signal-size and -strength with field applications of different experimental setups and seasonally variable conditions hydrological and thermal patterns. Accuracies in signal-strength, -size and -location varied substantially with the spatial extent of the monitored signal, causing potentially significant signal loss and signal dislocation. A critical deterioration of the accuracy of FO-DTS measured temperatures with reducing signal size was observed in particular for signal sizes close to the spatial sampling resolution. Our results indicate that the impact of signal-strength and signal-size on the measured temperature can’t be distinguished without additional information of the actual signal-size, potentially leading to ambiguous interpretations of the size, strength and absolute location of signals. Lab and field experiments confirmed that warm temperature signals of significantly larger spatial extent were required to provide measurements of equal qualitative and quantitative accuracy as cold signals, which is of high relevance for FO-DTS monitoring design in systems with seasonally variable thermal gradients. With decreasing signal size increasing temporal variance in observed temperatures indicates a risk of masking short-term temperature fluctuation, with critically implications for the monitoring accuracy in highly dynamic systems. The best signal-to-noise ratios in field experiments were achieved by a combined single-ended and double-ended measurement setup.