Combining a daily temperature pattern analysis and a heat-pulse system to estimate sediment depths in sewer systems†

IF 3.1 4区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL
Manuel Regueiro-Picallo, Jeroen Langeveld, Haoyu Wei, Jean-Luc Bertrand-Krajewski and Jörg Rieckermann
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Abstract

Sediments in urban drainage systems (UDS) significantly impact their operation, so effective strategies are required to reduce their negative effects. Monitoring sediment accumulation provides valuable insights into sediment characteristics, sediment transport dynamics, and system performance. However, the effectiveness of monitoring systems is limited due to cost constraints and installation challenges. This study describes the development and application of a new system based on temperature dynamics to measure sediment depths in sewer systems. The methodology involves the analysis of temperature time series under dry weather flow conditions to identify harmonic patterns between wastewater and sediment-bed temperatures. These patterns are increasingly attenuated by increasing sediment depth. This study combines a system called MONitoring Temperatures in SEdiments (MONTSE), which integrates a dual-probe heat-pulse (DPHP) method to characterize sediment thermal properties, and a surrogate model, which includes temperature pattern analysis, to estimate sediment depths. Likewise, laboratory-scale experiments were performed to validate the temperature monitoring system and the surrogate model performance. The maximum absolute errors in measured sediment depths were less than 22 mm, and the uncertainty of the system was estimated at ±7.3 mm. Groundbreaking measurements of thermal properties of UDS sediments were also reported. Reliable information on sediment depths and properties was provided, so the system could significantly optimize sewer system operation and cleaning strategies.

Abstract Image

结合日温度模式分析和热脉冲系统估算下水道系统中的沉积深度
城市排水系统(UDS)中的沉积物会严重影响其运行,因此需要采取有效的策略来减少其负面影响。通过监测沉积物的累积情况,可以深入了解沉积物特征、沉积物迁移动态和系统性能。然而,由于成本限制和安装困难,监测系统的有效性受到了限制。本研究介绍了基于温度动态测量下水道系统沉积深度的新系统的开发和应用。该方法包括分析旱季水流条件下的温度时间序列,以确定废水和沉积床温度之间的谐波模式。这些模式会随着沉积深度的增加而逐渐减弱。这项研究结合了一个名为 "沉积物温度监测(MONTSE)"的系统,该系统集成了一种双探针热脉冲(DPHP)方法,用于确定沉积物热特性的特征;还结合了一个代用模型,其中包括温度模式分析,用于估算沉积物深度。同样,还进行了实验室规模的实验,以验证温度监测系统和代用模型的性能。测量沉积深度的最大绝对误差小于 22 毫米,系统的不确定性估计为 ±7.3 毫米。此外,还报告了对 UDS 沉积物热特性的突破性测量结果。该系统提供了有关沉积物深度和特性的可靠信息,因此可以大大优化下水道系统的运行和清洁策略。
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来源期刊
Environmental Science: Water Research & Technology
Environmental Science: Water Research & Technology ENGINEERING, ENVIRONMENTALENVIRONMENTAL SC-ENVIRONMENTAL SCIENCES
CiteScore
8.60
自引率
4.00%
发文量
206
期刊介绍: Environmental Science: Water Research & Technology seeks to showcase high quality research about fundamental science, innovative technologies, and management practices that promote sustainable water.
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