Detect and Characterize Sub-Daily Flow Fluctuations

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: maximum flow fluctuation rate mafr(), mean flow fluctuation rate mefr(), amplitude amp(), flow ratio fr(), and duration dur(). The framework is introduced in Greimel et al. (2016) "A method to detect and characterize sub-daily flow fluctuations" 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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.1.0 by Bettina Grün, 11 days ago

Browse source code at

Authors: Bettina Grün [cre, ctb] , Julia Haider [aut] , Franz Greimel [ctb]

Documentation:   PDF Manual  

GPL-2 license

Imports utils, parallel

Suggests rmarkdown, knitr, testthat, data.table

See at CRAN