Universidade da Coruña, Water and Environmental Engineering Group (GEAMA), Centro de Innovación Tecnolóxica en Edificación e Enxeñaría Civil (CITEEC), A Coruña, Spain E-mail:
The University of Sheffield, Sheffield, UK.
Water Sci Technol. 2024 Jun;89(11):3133-3146. doi: 10.2166/wst.2024.193. Epub 2024 Jun 3.
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 steady 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.
增强下水道中沉积物积累监测技术将有助于更好地了解淤积过程,从而制定出更好的清洁策略。热传感器通过被动监测污水和沉积物床中的温度波动提供了一种用于估计沉积物深度的解决方案,这使得可以评估下水道管道中的传热过程。本研究分析了在旱季水流条件下,水流条件对水-沉积物界面传热过程的影响。为此,在环形水槽中建立了不同的流动、温度模式和沉积物深度条件,以确保稳定的流动和室温条件,从而进行了实验活动。还进行了数值模拟,以评估流动条件对沉积物深度与源自污水和沉积物床温度模式的谐波参数之间关系的影响。结果表明,对于大于 0.1 m/s 的流速,水和沉积物之间的传热是瞬时发生的,并且使用基于温度的系统进行的沉积物深度估计对于 0.1 至 0.4 m/s 之间的流速几乎不敏感。实现了 ±7mm 的深度估计精度。这证实了在旱季条件下,无需流量监测即可使用温度传感器监测下水道中的沉积物积累的能力。