kwb.swmm (v0.1.1): R Package with Functions for Working with EPA`s Storm Water Management Model (SWMM)

What's Changed

• Release v0.1.1 by @mrustl in #6
• Full Changelog: v0.1.0...v0.1.1

kwb.swmm (v0.1.0): R Package with Functions for Working with EPA`s Storm Water Management Model (SWMM)

Installation

This version 0.1.0 of the R package can be downloaded and installed from GitHub:

### Optionally: specify GitHub Personal Access Token (GITHUB_PAT)
### See here why this might be important for you:
### https://kwb-r.github.io/kwb.pkgbuild/articles/install.html#set-your-github_pat

# Sys.setenv(GITHUB_PAT = "mysecret_access_token")

# Install package "remotes" from CRAN
if (! require("remotes")) {
  install.packages("remotes", repos = "https://cloud.r-project.org")
}

# Install KWB package 'kwb.swmm' from GitHub
remotes::install_github("KWB-R/kwb.swmm@v0.1.0")

Content

• Functions

  • download_swmm_executable(): downloads SWMM executable from USEPA`s GitHub repo of https://github.com/USEPA/Stormwater-Management-Model/releases

  • run_swmm(): compared to swmmr::run_swmm()it allows to use allows to run SWMM model in model folder, i.e. it is possible to define paths to climate data in swmm_model.inp with relative paths (if these are contained in the same folder or a subfolder of the model_dir)

  • get_results() function for importing SWMM results into R

  • calculate_rainevent_stats() for aggregation of imported results based on user-defined column (default: total_runoff), function (default: sum) and event separation time

  • [get_lid_para_types()[https://kwb-r.github.io/kwb.swmm/reference/get_lid_para_types.html]: returning tidy tibble with expected/possible system elements for different low impact development elements

• Workflow on how to use this R package