Published May 26, 2023 | Version v1
Dataset Open

Data for removal kinetics and breakthrough curves of stormwater vehicle-related mobile organic contaminants in geomedia-amended sand columns [Dataset]

Authors/Creators

  • 1. Department of Geosciences, Institute of Environmental Assessment and Water Research (IDAEA), Severo Ochoa Excellence, Jordi Girona 18–26, 08034 Barcelona, Spain & Department of Water Resources and Ecosystems, IHE-Delft Institute for Water Education, Westvest 7, 2611 AX Delft, Netherlands
  • 2. Department of Geosciences, Institute of Environmental Assessment and Water Research (IDAEA), Severo Ochoa Excellence, Jordi Girona 18–26, 08034 Barcelona, Spain
  • 3. Department of Water Resources and Ecosystems, IHE-Delft Institute for Water Education, Westvest 7, 2611 AX Delft, Netherlands & Department of Water Management, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN Delft, Netherlands
  • 4. Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research (IDAEA), Severo Ochoa Excellence, Jordi Girona 18–26, 08034 Barcelona, Spain

Description

This dataset describes the transport and removal of stormwater vehicle-related mobile organic contaminants in geomedia-amended sand columns. The experiments aimed at providing sustainable treatment options for relevant persistent, mobile and toxic (i.e., PMT substances) linked to vehicular traffic pollution. We assessed removal for 1H-benzotriazole, N'N-diphenylguanidine, and hexamethoxymethyl-melamine (PMT precursor) in batch and column experiments using pyrogenic carbonaceous adsorbents (e.g., GAC and biochar). Data contain kinetics batch experiments and breakthrough curves for the target contaminants.

Notes

Funding: This material is based upon work supported by the EU Erasmus+ Programme of the European Commission for the EMJMD in Groundwater and Global Change - Impacts and Adaptation and IHE-Delft Institute advanced class fellowship. It was also supported by the Ministry of Science and Innovation via a FPI grant (PRE2021-099072), the Beatriu de Pinós fellowship, funded by the Agency for Management of University and Research Grants (AGAUR; reference code: 2020BP00280), and the Severo Ochoa contract CEX2018- 000794-S funded by MCIN/AEI/10.13039/501100011033.

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batch_kinetics_BCH.csv

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Additional details

Related works

Is supplement to
Journal article: 10.1016/j.scitotenv.2023.164264 (DOI)