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"