hydropeak
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. 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).
- Version0.1.2
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- hydropeak citation info
- Last release11/16/2022
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Team
Bettina Grün
Julia Haider
Show author detailsRolesAuthorFranz Greimel
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