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Water Resources Research
Article . 2000 . Peer-reviewed
License: Wiley Online Library User Agreement
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Space‐time variability of low streamflows in river networks

Authors: Peter R. Furey; Vijay K. Gupta;

Space‐time variability of low streamflows in river networks

Abstract

A low‐flow equation is derived from Darcy's law and a mass balance equation for base flow from a hillside by assuming that groundwater recharge is constant over short time periods. This low‐flow equation reduces to many of the existing mechanistic low‐flow equations, but in its general form looks like a linear regression model and captures spatial variability in base flow among hillsides in a basin. As a result, it unifies the mechanics and statistics of low flows in river networks. This equation is tested against low‐flow data from the Flint River basin in Georgia and the Gasconade River basin in Missouri, both of which are approximately 7000 km2 in size.

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Top 10%
Top 10%
Top 10%
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