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Scaling and predicting solute transport processes in streams

ScholarsArchive at Oregon State University

Field Value
Title Scaling and predicting solute transport processes in streams
Names Gonz alez-Pinz on, Ricardo (creator)
Haggerty, Roy (creator)
Dentz, Marco (creator)
Date Issued 2013-07-09 (iso8601)
Note This is the publisher’s final pdf. The published article is copyrighted by the American Geophysical Union and can be found at: http://www.agu.org/journals/wr/.
Abstract We investigated scaling of conservative solute transport using temporal moment
analysis of 98 tracer experiments (384 breakthrough curves) conducted in 44 streams
located on five continents. The experiments span 7 orders of magnitude in discharge
(10⁻ ³ to 10³ m³/s), span 5 orders of magnitude in longitudinal scale (10¹ to 10⁵ m), and
sample different lotic environments—forested headwater streams, hyporheic zones, desert
streams, major rivers, and an urban manmade channel. Our meta-analysis of these data
reveals that the coefficient of skewness is constant over time (CSK ¼ 1:1860:08,
R² > 0:98). In contrast, the CSK of all commonly used solute transport models decreases
over time. This shows that current theory is inconsistent with experimental data and
suggests that a revised theory of solute transport is needed. Our meta-analysis also shows
that the variance (second normalized central moment) is correlated with the mean travel
time (R² > 0:86), and the third normalized central moment and the product of the first two
are very strongly correlated (R² > 0:96). These correlations were applied in four different
streams to predict transport based on the transient storage and the aggregated dead zone
models, and two probability distributions (Gumbel and log normal).
Genre Article
Identifier González‐Pinzón, R., Haggerty, R., & Dentz, M. (2013). Scaling and predicting solute transport processes in streams. Water Resources Research, 49(7), 4071-4088. doi:10.1002/wrcr.20280

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