Publication: A multi‐scale study of the dominant catchment characteristics impacting low‐flow metrics
A multi‐scale study of the dominant catchment characteristics impacting low‐flow metrics
Date
Date
Date
Citations
Floriancic, M. G., Spies, D., van Meerveld, H. J., & Molnar, P. (2022). A multi‐scale study of the dominant catchment characteristics impacting low‐flow metrics. Hydrological Processes, 36(1), e14462. https://doi.org/10.1002/hyp.14462
Abstract
Abstract
Abstract
Low flows can impact water use and instream ecology. Therefore, reliable predictions of low-flow metrics are crucial. In this study, we assess which catchment characteristics (climate, topography, geology and landcover) can explain the spatial variability of low-flow metrics at two different scales: the regional scale and the small headwater catchment scale. For the regional-scale analysis, we calculated the mean 7-day annual minimum flow (qmin), the mean of the flow that is exceeded 95% of the year (q95), and the master recession con
Metrics
Downloads
Views
Additional indexing
Creators (Authors)
- Floriancic, Marius G
- Spies, Daniel
- Molnar, Peter
Volume
Volume
Volume
Number
Number
Number
Page range/Item number
Page range/Item number
Page range/Item number
Item Type
Item Type
Item Type
In collections
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Keywords
Language
Language
Language
Publication date
Publication date
Publication date
Date available
Date available
Date available
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
OA Status
OA Status
OA Status
Publisher DOI
Metrics
Downloads
Views
Citations
Floriancic, M. G., Spies, D., van Meerveld, H. J., & Molnar, P. (2022). A multi‐scale study of the dominant catchment characteristics impacting low‐flow metrics. Hydrological Processes, 36(1), e14462. https://doi.org/10.1002/hyp.14462
