Discussion –“Assessment of Methods for Measuring Embeddedness: Application to Sedimentation in Flow Regulated Streams” by Kelly M. Sennatt, Nira L. Salant, Carl E. Renshaw, and Francis J. Magilligan<sup>1,2</sup>

Potyondy, John P.; Sylte, Traci

doi:10.1111/j.1752-1688.2007.00156.x

Cited by 1 publication

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References 5 publications

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“…Cobble embeddedness has been largely dismissed as a suitable practice for monitoring fines (Sylte, 2002; Sylte and Fischenich, 2002; Sennatt et al. , 2006, 2008; Potyondy and Sylte, 2008), and volumetric bulk sampling is prohibitively laborious in coarse gravel beds where multiple samples each weighing hundreds of kilograms are required for representative sampling (Church et al. , 1987; Bunte and Abt, 2001a).…”

Section: Introductionmentioning

confidence: 99%

Spatial Variability of Pool‐Tail Fines in Mountain Gravel‐Bed Stream Affects Grid‐Count Results¹

Bunte¹,

Potyondy²,

Swingle³

et al. 2012

J American Water Resour Assoc

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Fine sediment (<2 and <6 mm) particles underlying a 49-intersection grid placed on a streambed at 25, 50, and 75% of the wetted pool-tail width are commonly counted to assess the status and trend of aquatic ecosystems or to monitor changes in the supply of fines in mountain gravel-bed streams. However, results vary even when crews perform nearly identical procedures. This study hypothesized that spatial variability of pool-tail fines affects grid-count results and that a sampling scheme can be optimized for precision and accuracy. Grid counts taken at seven evenly spaced locations across the wetted width of 10 pool tails in a pool-riffle study stream indicated a bankward fining trend with secondary peaks of fines within the stream center. Sampling locations close to the waterlines harbored more than twice as many fines as central locations. Most of the five grid-count schemes derived from the seven sampled locations produced significantly different results. Compared with sampling at all seven locations, schemes that focus near waterlines overpredicted fines, while those that focus on the center underpredicted them. Variability of fines among pool tails was the highest within a broad band along the waterlines; hence, focusing sampling there yielded the most variable results. The scheme sampling at 25, 50, and 75% of the wetted width had the lowest precision and moderate accuracy. Accuracy and precision of grid-count results can be greatly improved by sampling at seven even-spaced locations across the pool tail.

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Section: Introductionmentioning

confidence: 99%

Spatial Variability of Pool‐Tail Fines in Mountain Gravel‐Bed Stream Affects Grid‐Count Results¹

Bunte¹,

Potyondy²,

Swingle³

et al. 2012

J American Water Resour Assoc

Self Cite

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show abstract

Discussion –“Assessment of Methods for Measuring Embeddedness: Application to Sedimentation in Flow Regulated Streams” by Kelly M. Sennatt, Nira L. Salant, Carl E. Renshaw, and Francis J. Magilligan^1,2

Cited by 1 publication

References 5 publications

Spatial Variability of Pool‐Tail Fines in Mountain Gravel‐Bed Stream Affects Grid‐Count Results¹

Spatial Variability of Pool‐Tail Fines in Mountain Gravel‐Bed Stream Affects Grid‐Count Results¹

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Discussion –“Assessment of Methods for Measuring Embeddedness: Application to Sedimentation in Flow Regulated Streams” by Kelly M. Sennatt, Nira L. Salant, Carl E. Renshaw, and Francis J. Magilligan1,2

Cited by 1 publication

References 5 publications

Spatial Variability of Pool‐Tail Fines in Mountain Gravel‐Bed Stream Affects Grid‐Count Results1

Spatial Variability of Pool‐Tail Fines in Mountain Gravel‐Bed Stream Affects Grid‐Count Results1

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Discussion –“Assessment of Methods for Measuring Embeddedness: Application to Sedimentation in Flow Regulated Streams” by Kelly M. Sennatt, Nira L. Salant, Carl E. Renshaw, and Francis J. Magilligan^1,2

Spatial Variability of Pool‐Tail Fines in Mountain Gravel‐Bed Stream Affects Grid‐Count Results¹

Spatial Variability of Pool‐Tail Fines in Mountain Gravel‐Bed Stream Affects Grid‐Count Results¹