2015
DOI: 10.3133/sir20145192
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Estimation of monthly water yields and flows for 1951-2012 for the United States portion of the Great Lakes Basin with AFINCH

Abstract: Cover image. The United States portion of the Great Lakes Basin.

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Cited by 2 publications
(5 citation statements)
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“…() provide the rules for defining spatial units for a national framework (US Geological Survey (USGS), ); Luukkonen et al. () explain the AFINCH method for stream reach‐specific flow estimation; and we describe here how to classify lotic systems, predict flow sensitivity for species (or biodiversity) and populate the framework with those values at multiple spatial scales. This approach, illustrated here for the Great Lakes Region, may be replicated in other regions or nationwide, where stream networks have been georeferenced and size, temperature, flow and biotic metric data are available for the reaches.…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…() provide the rules for defining spatial units for a national framework (US Geological Survey (USGS), ); Luukkonen et al. () explain the AFINCH method for stream reach‐specific flow estimation; and we describe here how to classify lotic systems, predict flow sensitivity for species (or biodiversity) and populate the framework with those values at multiple spatial scales. This approach, illustrated here for the Great Lakes Region, may be replicated in other regions or nationwide, where stream networks have been georeferenced and size, temperature, flow and biotic metric data are available for the reaches.…”
Section: Discussionmentioning
confidence: 99%
“…ELOHA's Hydrologic Framework) is available via several modelling approaches. Here, we used AFINCH (Luukkonen et al., ), which improves over basic catchment regression models to estimate flow by (1) constraining reach flow estimates according to nearby actual gaged reaches; (2) conserving flow from upstream to downstream; and (3) accounting for major reach‐specific flow diversions or inputs. The AFINCH method provides monthly streamflow metrics which were appropriate for our needs.…”
Section: Discussionmentioning
confidence: 99%
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“…The concept has been widely used in practice. A USGS model to estimate inflows from tributaries on the Great Lakes makes use of this principle to extrapolate gage streams to ungaged streams (Luukkonen, Holtschlag, Reeves, Hoard, & Fuller, 2015). Additionally, the numerous USGS reports that established the basis for StreamStats developed regression relationships in which the dominant explanatory variable is nearly always watershed area raised to a power near one (e.g., Dudley, 2015;Gotvald, 2017).…”
Section: Area Normalized Flowmentioning
confidence: 99%