CoUDlabs_WP8_T811_UDC_001. Identifying sediment deposits from temperature signals

This dataset contains the results of the experimental campaign and how data were collected on the research activity “Identifying sediment deposits from temperature signals” performed under Joint Research Activity “JRA 3- Improving Resilience and Sustainability in Urban Drainage solutions” of Co-UDlabs project, funded under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101008626. The experiments introduce a new approach which uses high-resolution temperature data to identify sediment bed deposits by analysing time series. Water (wastewater or drainage water in UDS) and sediments show different thermal properties and heat transfer dynamics. Thus, the aim of the dataset is to estimate or at least evidenced the presence of sediments by analyzing the differences between the temperature timeseries measured in the water phase and at the bottom of bed deposits. Results from this experimental campaign will help to understand heat transfer processes between water and saturated sediment mixtures and, therefore, develop new methodologies to estimate accumulation in UDS. The data are described so that others can use them.本数据集包含“基于温度信号识别沉积物淤积”研究活动的实验成果与数据采集流程，该研究隶属于Co-UDlabs项目的联合研究活动“JRA 3——提升城市排水系统解决方案的韧性与可持续性”。此项目由欧盟“地平线2020（Horizon 2020）”研究与创新计划资助，资助协议编号为101008626。本实验提出一种全新方法，通过分析时间序列数据、利用高分辨率温度信号识别床层沉积物淤积。城市排水系统（Urban Drainage System, UDS）中的水体（污水或排水水）与沉积物具备迥异的热物理性质与传热动力学特性。因此，本数据集旨在通过对比水体相与床层沉积物底部测得的温度时间序列之间的差异，估算乃至至少证实沉积物的存在。本次实验的结果将有助于明晰水体与饱和沉积物混合物之间的传热过程，进而研发用于估算城市排水系统内沉积物淤积量的全新方法。本数据集附带详细说明文档，以供其他研究者复用。