CoUDlabs_TA_USFD_02_ANNULAR_Regueiro. Time series analysis of sewer temperatures in an annular flume to estimate sediment accumulation

  1. Regueiro-Picallo, Manuel 1
  2. Schellart, Alma 2
  3. Jensen, Henriette 2
  4. Tait, Simon 2
  5. Fung, Wai Wan Vivian 2
  1. 1 Universidade da Coruña
    info

    Universidade da Coruña

    La Coruña, España

    ROR https://ror.org/01qckj285

  2. 2 University of Sheffield
    info

    University of Sheffield

    Sheffield, Reino Unido

    ROR https://ror.org/05krs5044

Editor: Zenodo

Año de publicación: 2024

Tipo: Dataset

Resumen

This dataset contains the results of the experimental campaign and how data were collected on the the Co-UDlabs Transnational Access project: Temperature time series analysis for predicting sedimentation in sewer systems, by Regueiro-Picallo et al. The Transnational Access project was funded under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101008626. The experiments were designed to further develop an innovative methodology for measuring sediment bed deposits in UDS based on temperature data analysis (Regueiro-Picallo et al., 2023; Regueiro-Picallo et al., 2024). Particularly, the aim of these experiments was to study the influence of the sewer hydrodynamics for estimating the sediment accumulation using temperature-based methods. Therefore, the main tasks of this project were the design of a temperature-control system for the ANNULAR flume to reproduce sewer temperature patterns, and the development of an experimental campaign including different flow, sediment depth and temperature pattern conditions. The purpose of these measurements is to prove the use of simplified systems to monitor sediment accumulation in sewer systems. The data are described so that others can use and reproduce.