Awesome
Introduction to SWATprepR
SWATprepR
The goal of SWATprepR
is to help with the SWAT+
model input data preparation. A
detailed overview is presented in the article by Plunge, Szabó, et al.
(2024). Most functions were developed for the implementation of modeling
tasks in the OPTAIN project. These tools are
intended to fill the gaps in the SWAT+ workflow alongside the main tools
developed by Christoph Schuerz.
Therefore, we highly recommend trying and using these tools:
- SWATbuildR1 - R tool for building SWAT+ setups.
- SWATfarmR - R tool for preparing management schedules for the SWAT model.
- SWATdoctR - A collection of functions in R and routines for SWAT model diagnostics. The package is presented in the article by Plunge, Schürz, et al. (2024).
- SWATrunR - R tool for running SWAT models for different parameters and scenarios.
- SWATtunR - R tool for soft & hard calibration, validation of SWAT+ models.
- SWATmeasR - R tool for implementing Natural/Small Water Retention Measures (NSWRMs) in the SWAT+ models and running scenarios.
Detailed information about packages, workflow steps, input data, SWAT+ parameters, model calibration, validation, etc., can be found in the SWAT+ modeling protocol by Christoph et al. (2022).
Installation
You can install the development version of SWATprepR
from
GitHub. Please be aware that
to run the get_usersoil_table()
function, the euptf2
package has to be installed. More
information about this package can be found in the article by Szabó,
Weynants, and Weber (2020).
# If the package 'remotes' is not installed run first:
install.packages("remotes")
# The installation of `SWATprepR`.
remotes::install_github("biopsichas/SWATprepR")
# The `euptf2` package has to be installed to utilize `get_usersoil_table()` function.
remotes::install_github("tkdweber/euptf2")
Data
All the data required to run and test the package is installed with the package in the extdata folder. The exact location on your computer can be found by running the lines below. Please run these commands on your system to locate it.
library(SWATprepR)
#> Loading required package: euptf2
#> Loading required package: plyr
#> Loading required package: stringr
#> Loading required package: data.table
#> Warning: package 'data.table' was built under R version 4.2.3
#> Loading required package: ranger
temp_path <- system.file("extdata", package = "SWATprepR")
print(temp_path)
#> [1] "C:/Users/laptop/AppData/Local/R/win-library/4.2/SWATprepR/extdata"
Templates
To use the SWATprepR
package functions with your data, you should
prepare your data to align with the templates provided in the extdata
folder. These templates include:
- calibration_data.xlsx - template for loading calibration (water flow and water quality variables) data.
- weather_data.xlsx - template for loading weather variables.
- usersoils.csv - example of a soil parameters dataset.
- pnt_data.xlsx - template for a point source dataset.
- GIS/ - folder with GIS layers needed to run some functions.
Data prepared according to these templates can be directly loaded into R, allowing you to apply all the functions as described.
<br>References
<div id="refs" class="references csl-bib-body hanging-indent" entry-spacing="0"> <div id="ref-optain2022" class="csl-entry">Christoph, Schürz, Čerkasova Natalja, Farkas Csilla, Nemes Attila, Plunge Svajunas, Strauch Michael, Szabó Brigitta, and Piniewski Mikołaj. 2022. “<span class="nocase">SWAT+ modeling protocol for the assessment of water and nutrient retention measures in small agricultural catchments</span>.” Zenodo. https://doi.org/10.5281/zenodo.7463395.
</div> <div id="ref-plunge2024a" class="csl-entry">Plunge, Svajunas, Christoph Schürz, Natalja Čerkasova, Michael Strauch, and Mikołaj Piniewski. 2024. “<span class="nocase">SWAT+ model setup verification tool: SWATdoctR</span>.” Environmental Modelling & Software 171: 105878. https://doi.org/10.1016/j.envsoft.2023.105878.
</div> <div id="ref-plunge2024b" class="csl-entry">Plunge, Svajunas, Brigitta Szabó, Michael Strauch, Natalja Čerkasova, Christoph Schürz, and Mikołaj Piniewski. 2024. “<span class="nocase">SWAT + input data preparation in a scripted workflow: SWATprepR</span>.” Environmental Sciences Europe 36 (1): 53. https://doi.org/10.1186/s12302-024-00873-1.
</div> <div id="ref-szabo2020" class="csl-entry">Szabó, Brigitta, Melanie Weynants, and Tobias K. D. Weber. 2020. “<span class="nocase">Updated European hydraulic pedotransfer functions with communicated uncertainties in the predicted variables (euptfv2)</span>.” Geoscientific Model Development 14 (1): 151–75. https://doi.org/10.5194/gmd-14-151-2021.
</div> </div>Footnotes
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For access please inquire at christoph.schuerz@ufz.de. ↩