Flow rate influence on sediment depth estimation in sewers using temperature sensors

M. Regueiro-Picallo, Alma Schellart, Henriette Jensen, Jeroen Langeveld, M. Viklander, Lian Lundy
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Abstract

Enhancing sediment accumulation monitoring techniques in sewers will enable a better understanding of the build-up processes to develop improved cleaning strategies. Thermal sensors provide a solution to sediment depth estimation by passively monitoring temperature fluctuations in the wastewater and sediment beds, which allows evaluation of the heat-transfer processes in sewer pipes. This study analyses the influence of the flow conditions on heat-transfer processes at the water–sediment interface during dry weather flow conditions. For this purpose, an experimental campaign was performed by establishing different flow, temperature patterns, and sediment depth conditions in an annular flume, which ensured stable flow and room-temperature conditions. Numerical simulations were also performed to assess the impact of flow conditions on the relationships between sediment depth and harmonic parameters derived from wastewater and sediment-bed temperature patterns. Results show that heat transfer between water and sediment occurred instantaneously for velocities greater than 0.1 m/s, and that sediment depth estimations using temperature-based systems were barely sensitive to velocities between 0.1 and 0.4 m/s. A depth estimation accuracy of ±7 mm was achieved. This confirms the ability of using temperature sensors to monitor sediment build-up in sewers under dry weather conditions, without the need for flow monitoring.
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流速对使用温度传感器估算下水道沉积深度的影响
加强下水道沉积物积聚监测技术将有助于更好地了解沉积物的积聚过程,从而制定更好的清洁策略。热传感器通过被动监测废水和沉积床中的温度波动,为沉积物深度估算提供了解决方案,从而可以评估下水管道中的热传导过程。本研究分析了旱季水流条件对水-沉积物界面传热过程的影响。为此,我们在环形水槽中建立了不同的水流、温度模式和沉积深度条件,以确保稳定的水流和室温条件。此外,还进行了数值模拟,以评估水流条件对沉积深度与根据废水和沉积床温度模式得出的谐波参数之间关系的影响。结果表明,当流速大于 0.1 米/秒时,水与沉积物之间的热量传递是瞬时发生的,使用基于温度的系统估算沉积物深度对 0.1 至 0.4 米/秒之间的流速几乎不敏感。深度估计精度达到 ±7 毫米。这证实了在干燥天气条件下使用温度传感器监测下水道沉积物堆积情况的能力,而无需进行流量监测。
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