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).
Package details |
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Author | Bettina Grün [cre, ctb] (<https://orcid.org/0000-0001-7265-4773>), Julia Haider [aut], Franz Greimel [ctb] (<https://orcid.org/0000-0002-8000-1227>) |
Maintainer | Bettina Grün <Bettina.Gruen@R-project.org> |
License | GPL-2 |
Version | 0.1.2 |
Package repository | View on CRAN |
Installation |
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