Detect and Characterize Sub-Daily Flow Fluctuations
Event Based Fluctuation Flow Parameters
AMP - Amplitude (Metric 1)
Change Points
DUR - Duration (Metric 4)
Event Type
'flow' S3 Class for Flow Rate Time Series
Flow Fluctuation Events and Metrics
Flow Fluctuation Events and Metrics from Input Directory
Flow Fluctuation Events and Metrics from Input File
MAFR - Maximum Flow Fluctuation Rate (Metric 2)
MEFR - Mean Flow Fluctuation Rate (Metric 3)
RATIO - Flow Ratio (Metric 5)
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).