Stream temperature estimated in situ from thermal-infrared images: best estimate and uncertainty

33rd UIT (Italian Union of Thermo-fluid dynamics) Heat Transfer Conference

物理学;力学

Iezzi, F.^1 ; Todisco, M.T.^2

Department of Engineering and Geology, University G. d'Annunzio of Chieti- Pescara, Viale Pindaro, 42, Pescara

65127, Italy^1

Department I.C.E.A.A., University of l'Aquila, Piazzale Pontieri, 1, Monteluco di Roio, L'Aquila

67100, Italy^2

关键词: Industrial manufacturers;    Pollution monitoring;    Spatial discretizations;    Stream temperature changes;    Stream temperatures;    Surface water temperature;    Thermal infrared images;    Thermal infrared remote sensing;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/655/1/012063/pdf
DOI  :  10.1088/1742-6596/655/1/012063

学科分类：力学，机械学

来源: IOP

【 摘 要 】

The paper aims to show a technique to estimate in situ the stream temperature from thermal-infrared images deepening its best estimate and uncertainty. Stream temperature is an important indicator of water quality and nowadays its assessment is important particularly for thermal pollution monitoring in water bodies. Stream temperature changes are especially due to the anthropogenic heat input from urban wastewater and from water used as a coolant by power plants and industrial manufacturers. The stream temperatures assessment using ordinary techniques (e.g. appropriate thermometers) is limited by sparse sampling in space due to a spatial discretization necessarily punctual. Latest and most advanced techniques assess the stream temperature using thermal-infrared remote sensing based on thermal imagers placed usually on aircrafts or using satellite images. These techniques assess only the surface water temperature and they are suitable to detect the temperature of vast water bodies but do not allow a detailed and precise surface water temperature assessment in limited areas of the water body. The technique shown in this research is based on the assessment of thermal-infrared images obtained in situ via portable thermal imager. As in all thermographic techniques, also in this technique, it is possible to estimate only the surface water temperature. A stream with the presence of a discharge of urban wastewater is proposed as case study to validate the technique and to show its application limits. Since the technique analyzes limited areas in extension of the water body, it allows a detailed and precise assessment of the water temperature. In general, the punctual and average stream temperatures are respectively uncorrected and corrected. An appropriate statistical method that minimizes the errors in the average stream temperature is proposed. The correct measurement of this temperature through the assessment of thermal- infrared images obtained in situ via portable thermal imager is confirmed by the direct measurement of stream temperature using an ordinary technique based on an appropriate thermometer.