Package: hydroroute 0.1.2

Bettina Grün
hydroroute: Trace Longitudinal Hydropeaking Waves
Implements an empirical approach referred to as PeakTrace which uses multiple hydrographs to detect and follow hydropower plant-specific hydropeaking waves at the sub-catchment scale and to describe how hydropeaking flow parameters change along the longitudinal flow path. The method is based on the identification of associated events and uses (linear) regression models to describe translation and retention processes between neighboring hydrographs. Several regression model results are combined to arrive at a power plant-specific model. The approach is proposed and validated in Greimel et al. (2022) <doi:10.1002/rra.3978>. The identification of associated events is based on the event detection implemented in 'hydropeak'.
Authors:
hydroroute_0.1.2.tar.gz
hydroroute_0.1.2.tar.gz(r-4.5-noble)hydroroute_0.1.2.tar.gz(r-4.4-noble)
hydroroute_0.1.2.tgz(r-4.4-emscripten)hydroroute_0.1.2.tgz(r-4.3-emscripten)
hydroroute.pdf |hydroroute.html✨
hydroroute/json (API)
NEWS
# Install 'hydroroute' in R: |
install.packages('hydroroute', repos = 'https://cloud.r-project.org') |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:89baf2a287. Checks:3 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 14 2025 |
R-4.5-linux | OK | Mar 14 2025 |
R-4.4-linux | OK | Mar 14 2025 |
Exports:estimate_AEextract_AEget_lagget_lag_dirget_lag_filemerge_timepeaktracerouting
Dependencies:bootclicodetoolscolorspaceconfintrcpp11dplyrfansifarvergenericsggplot2ggpmiscggppgluegridExtragtablehydropeakisobandlabelinglatticelifecyclelmodel2lubridatemagrittrMASSMatrixMatrixModelsmgcvmultcompmultcompViewmunsellmvtnormnlmepillarpkgconfigplyrpolynomquantregR6RColorBrewerRcppreshape2rlangsandwichscalesSparseMsplus2RstringistringrsurvivalTH.datatibbletidyselecttimechangeutf8vctrsviridisLitewithrxtszoo
Citation
Greimel F, Grün B, Hayes D, Höller N, Haider J, Zeiringer B, Holzapfel P, Hauer C, Schmutz S (2022). “PeakTrace: Routing of Hydropeaking Waves Using Multiple Hydrographs – A Novel Approach.” River Research and Applications, 1–14. doi:10.1002/rra.3978.
Corresponding BibTeX entry:
@Article{, title = {{PeakTrace}: Routing of Hydropeaking Waves Using Multiple Hydrographs – A Novel Approach}, author = {Franz Greimel and Bettina Grün and Daniel S. Hayes and Norbert Höller and Julia Haider and Bernhard Zeiringer and Patrick Holzapfel and Christoph Hauer and Stefan Schmutz}, journal = {River Research and Applications}, year = {2022}, pages = {1--14}, doi = {10.1002/rra.3978}, }
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Estimate Associated Events | estimate_AE |
Extract Associated Events | extract_AE |
Get Lag | get_lag |
Get Lag from Input Directory | get_lag_dir |
Get Lag from Input File | get_lag_file |
Merge Events | merge_time |
Trace Longitudinal Hydropeaking Waves Along a River Section | peaktrace |
Estimate Models and Make Predictions | routing |