2002
DOI: 10.1016/s0380-1330(02)70592-3
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Flow Distribution in Selected Branches of St. Clair and Detroit Rivers

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Cited by 13 publications
(4 citation statements)
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“…This study focused on lake sturgeon using the Lake Huron‐to‐Lake Erie Corridor (HEC), which included the St. Clair River, Lake St. Clair and the Detroit River (Figure ). The HEC spans 135 km from Lake Huron to Lake Erie and discharge from Lake Huron into the St. Clair River averages 5,150 m 3 /s (Holtschlag & Koschik, ). No barriers exist upstream of the St. Clair River between Lake Huron and Michigan; however, a set of shipping locks exist 450 km away at the head of the St. Marys River, which interrupts the pathway to Lake Superior.…”
Section: Methodsmentioning
confidence: 99%
“…This study focused on lake sturgeon using the Lake Huron‐to‐Lake Erie Corridor (HEC), which included the St. Clair River, Lake St. Clair and the Detroit River (Figure ). The HEC spans 135 km from Lake Huron to Lake Erie and discharge from Lake Huron into the St. Clair River averages 5,150 m 3 /s (Holtschlag & Koschik, ). No barriers exist upstream of the St. Clair River between Lake Huron and Michigan; however, a set of shipping locks exist 450 km away at the head of the St. Marys River, which interrupts the pathway to Lake Superior.…”
Section: Methodsmentioning
confidence: 99%
“…= Amherstburg Channel, Upper panel : mean annual discharge (± 95% confidence interval). Data from Table 3 of Holtschlag and Koschik [ 27 ]. Middle panel : Variation (median and quartiles) in channel depth.…”
Section: Methodsmentioning
confidence: 99%
“…Most of these studies apply numerical models (Edmonds & Slingerland, 2007, 2008, 2010; Geleynse et al, 2010, 2011; Nardin & Edmonds, 2014), laboratory experiments (Hoyal & Sheets, 2009; Martin et al, 2009), and, to a lesser extent, field measurements (Esposito et al, 2013; Holtschlag & Koschik, 2002). Recent works have highlighted the pressing need for further field measurements in order to quantify the variables involved in the calibration and validation of numerical models (Fagherazzi et al, 2015).…”
Section: Introductionmentioning
confidence: 99%