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Sediment traps with guiding channel and hybrid check dams improve controlled sediment retention

Data and codes

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Folder and file summary:


This repository contains data used in “Sediment traps with guiding channel and hybrid check dams improve controlled sediment retention” (Download open access article).

The data stem from laboratory experiments with the setup described in my PhD thesis (Schwindt 2017). Data processing was done with Python (see pydroscape) and Matlab / Octave codes.

Citation

Suggested citation:

Schwindt, S.; Franca, M. J.; Reffo, A. & Schleiss, A. J. “Sediment traps with guiding channel and hybrid check dams improve controlled sediment retention”. Natural Hazards and Earth System Science, 2018, 18(2), 647-668. doi: 10.5194/nhess-18-647-2018

LaTex / Bibtex Users:

@Article{schwindt18a,
  author    = {Schwindt, S and Franca, M J and Reffo, A and Schleiss, A J},
  title     = {Sediment traps with guiding channel and hybrid check dams improve controlled sediment retention},
  journal   = {Natural Hazards and Earth System Science},
  year      = {2018},
  volume    = {18},
  number    = {2},
  pages     = {647-668},
  doi       = {10.5194/nhess-18-647-2018},
  url       = {https://www.nat-hazards-earth-syst-sci.net/18/647/2018/},
}

Codes

Signal processing was done with Python and the pydroscape) package. The data analyses where made with Matlab / Octave (.m) codes, where codes starting with an f[...].m mark files containing functions. All other .m files are algorithms that use these functions. Please note that all codes were originally written in Matlab and processing them with Octave may require adding pkg load io after the clear all; close all; statements in the codes.

Data structure and codes

The RawData/ folder contains the raw data from the pump discharge logger, flow velocity (where applicable), sediment supply/outflow loggers, barrier height and composition, and constriction geometry. The RawData/ExperimentOverview.xlsx workbook contains overview tables of the conducted experiments. In addition, the following workbooks are available:

The ProcessedData/ folder contains data that where extracted from the RawData/ folder. Matlab / Octave (.m) codes in that folder were used for extracting / converting the raw data.

The ProcessedData/000_data_summary/ folder contains Matlab / Octave (.m) codes that created workbooks documenting sediment deposition (and re-mobilization):

The ProcessedData/001_regression_analysis/ folder contains workbooks and Matlab / Octave (.m) codes for the linear data regression shown in Figure 14.

The ProcessedData/002_plots/ folder contains Matlab / Octave (.m) codes for producing Figure 10 (/Contour 2D/) and Figure 14 (/xProfiles/). Note that the data files for producing the 2D contour plots are too big for providing them here. Please contact me to obtain these data via temporary file sharing.