Published November 10, 2023 | Version v1
Dataset Open

Data and code for the publication "Assessing the Behavior of Microplastics in Fluvial Systems: Infiltration and Retention Dynamics in Streambed Sediments" - Part 1(2)

  • 1. Department of Hydrology, Bayreuth Center of Ecology and Environmental Research (BAYCEER), University of Bayreuth
  • 2. Department of Hydrogeology, UFZ – Helmholtz Centre for Environmental Research
  • 3. Department of Hydrogeology, UFZ – Helmholtz Centre for Environmental Research; Hydrologic Modeling Unit, Bayreuth Center of Ecology and Environmental Research (BAYCEER), University of Bayreuth
  • 4. Department of Hydrology, Bayreuth Center of Ecology and Environmental Research (BAYCEER), University of Bayreuth; Limnological Research Station, Bayreuth Center of Ecology and Environmental Research (BAYCEER), University of Bayreuth
  • 5. Wageningen University Research Centre, Department of Environmental Science, Aquatic Ecology and Water Quality Management Group

Description

Background

The dataset contains data on Microplastic transport experiments run in an experimental flume of the University of Bayreuth. It was analysed in the paper by J.P. Boos, F. Dichgans, J.H. Fleckenstein, B.S. Gilfedder and S. Frei, "Assessing the Behavior of Microplastics in Fluvial Systems: Infiltration and Retention Dynamics in Streambed Sediments", currently under review in Water Resources Research

 

Description of the dataset

This dataset is the main dataset used for the analysis. There is a twin archive connected to this one, which contains the dataset which was used for the individual particle detection routines (10.5281/zenodo.10081788). The files have to be downloaded and merged into the folder structure.

The following data is included

  • individual experimental data and results in the folders
    • 210812 (10 µm, coarse sand, low-flow)
    • 220727 (1 µm, coarse sand, low flow)
    • 220803 (3 µm, coarse sand, low-flow)
    • 220818 (1 µm, fine sand, low-flow)
    • 220901 (1 µm, coarse sand, high-flow)
  • Comparison (comparing individual results of the experiments)
  • Scripts (contains the individual matlab scripts)
  • labbook.xlsx (contains metadata on the experiments, which are read out in the matlab scripts)

 

Description of the code

The matlab scripts *.m contain the code to read and analyse all experimental data. The scripts are divided for the different input file types.

  • Main scripts to analyze experimental data
    • Experiment_Main.m Main routine for individual experiments, reading and analysing Fluorometer, Levelogger, Flowmeter, Ultrasonics PIV
    • Experiment_Main_Compare.m Comparison of individual experiment results
  • FIS-dataset
    • FIS_Cal_Individual.m: Realizes individual calibrations of one experiment
    • FIS_Cal_Result.m: Merges individual calibrations of one experiment
    • Experiment_FIS.m: Load data of one experiment, detect interfaces. Followed by
      • Experiment_FIS_1pix: Individual particle detection (for 10 µm experiment, no binning)
      • Experiment_FIS_10pix: Particle cloud analysis (all experiments, binning 10 Pix * 10 Pix)
    • Experiment_FIS_10pix_compare.m: Compare results of particle cloud analysis for all experiments.
  • Fluo-data
    • Fluo_Cal.m Realizes calibration for Fluorometer devices
  • PIV-dataset
    • PIV_individual.m Individual analysis of Particle Image Velocimetry (in total 9 different subdatasets, from 3 camera positions, and each 3 different illumination positions)
    • PIV_merge.m Merge 9 individual results of PIV for a result for one experiment
  • Profiler-dataset
    • Profiler.m  Analyses data from bedform profiling (merging individual measurements after the experiment)
    • Profiler_Compare.m Compares bedform elevations and metrics between the 5 experiments (acquired after the experiment)
    • Profiler_Time.m Analyses temporal change of bedform elevation during the experiment

 

Disclaimer

The data and code are provided as is without any warranty.

 

Funding

Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) -– Project Number 391977956 –- SFB 1357.

Files

210812.zip

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Additional details

Funding

SFB1357 391977956
Deutsche Forschungsgemeinschaft