hydropeak: Detect and Characterize Sub-Daily Flow Fluctuations (original) (raw)
An important environmental impact on running water ecosystems is caused by hydropeaking - the discontinuous release of turbine water because of peaks of energy demand. An event-based algorithm is implemented to detect flow fluctuations referring to increase events (IC) and decrease events (DC). For each event, a set of parameters related to the fluctuation intensity is calculated. The framework is introduced in Greimel et al. (2016) "A method to detect and characterize sub-daily flow fluctuations" <doi:10.1002/hyp.10773> and can be used to identify different fluctuation types according to the potential source: e.g., sub-daily flow fluctuations caused by hydropeaking, rainfall, or snow and glacier melt. This is a companion to the package 'hydroroute', which is used 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 as proposed and validated in Greimel et al. (2022).
| Version: | 0.1.2 |
|---|---|
| Depends: | R (≥ 4.1.0) |
| Imports: | utils, parallel |
| Suggests: | rmarkdown, knitr, testthat (≥ 3.0.0), data.table |
| Published: | 2022-11-16 |
| DOI: | 10.32614/CRAN.package.hydropeak |
| Author: | Bettina Grün |
| Maintainer: | Bettina Grün <Bettina.Gruen at R-project.org> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Citation: | hydropeak citation info |
| Materials: | NEWS |
| In views: | Hydrology |
| CRAN checks: | hydropeak results |
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