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The chemistry, mineralogy, and rates of transport of sediments in the ...

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Annual <strong>rates</strong> <strong>of</strong> <strong>transport</strong> were obta<strong>in</strong>ed by summ<strong>in</strong>g monthly <strong>rates</strong> <strong>of</strong> <strong>transport</strong> .<br />

For months dur<strong>in</strong>g which no concentration was measured, a seasonal mean concentration<br />

was generally applied . W<strong>in</strong>ter mean concentrations were calculated<br />

for <strong>the</strong> period November through April <strong>and</strong> summer means for <strong>the</strong> period May to<br />

October .<br />

Consider<strong>in</strong>g each river <strong>in</strong>dividually, <strong>the</strong> <strong>in</strong>stantaneous concentrations<br />

<strong>of</strong> suspendedr<br />

sediment. or particulate nutrients were regressed on <strong>in</strong>stantaneous<br />

discharge ., All data was transformed to logarithms . <strong>The</strong> method for<br />

<strong>the</strong>se simple l<strong>in</strong>ear regressions is discussed <strong>in</strong> Snedecor <strong>and</strong> Cochran (1971) .<br />

Only those analyses produc<strong>in</strong>g regression coefficients significant at a - 0 .10<br />

were subsequently plotted . <strong>The</strong> l<strong>in</strong>ear regression analysis program <strong>of</strong> a Wang-462<br />

was used for.' computations .<br />

t<br />

Annual <strong>rates</strong> <strong>of</strong> <strong>transport</strong> for particulate materials were divided by <strong>the</strong><br />

watershed area above <strong>the</strong> sampl<strong>in</strong>g station . Simple l<strong>in</strong>ear regressions were<br />

<strong>the</strong>n performed on <strong>the</strong> logarithms <strong>of</strong> <strong>the</strong>se normalized <strong>transport</strong> <strong>rates</strong> versus<br />

<strong>the</strong> logarithm <strong>of</strong> correspond<strong>in</strong>g annual discharges . <strong>The</strong> set <strong>of</strong> data pairs consisted<br />

<strong>of</strong> eleven different stations on eight rivers, with a maximum <strong>of</strong> three<br />

years data for any one station . <strong>The</strong> statistical method is discussed <strong>in</strong> Sokal<br />

<strong>and</strong> Rohlf (1969) .<br />

Multiple l<strong>in</strong>ear regressions were performed on mean annual <strong>rates</strong> <strong>of</strong> <strong>transport</strong><br />

versus seven topographic <strong>and</strong> climatic variables . . Transport <strong>of</strong> suspended<br />

sediment, <strong>and</strong> particulate nitrogen, phosphorous <strong>and</strong> carbon were considered<br />

<strong>in</strong>dividually, us<strong>in</strong>g - <strong>the</strong> same eleven stations as above . Logarithmic transformations<br />

were ma<strong>in</strong>ta<strong>in</strong>ed .<br />

Topographic variables <strong>in</strong>cluded watershed area (Ad), change <strong>in</strong> elevation<br />

(LE) <strong>and</strong> length (L) <strong>of</strong> <strong>the</strong> river . Area <strong>of</strong> <strong>the</strong> watershed above <strong>the</strong> sampl<strong>in</strong>g<br />

station was obta<strong>in</strong>ed from Water Survey (Davies, 1973 ; 1974) • where possible,<br />

or by planimetry . Change <strong>in</strong> elevation represents •<strong>the</strong> difference between <strong>the</strong><br />

highest - contour-<strong>in</strong> <strong>the</strong> watershed <strong>and</strong>' <strong>the</strong> contour on which <strong>the</strong> sampl<strong>in</strong>g station<br />

falls . Lengths <strong>of</strong> <strong>the</strong> rivers from <strong>the</strong> source to <strong>the</strong> station were determ<strong>in</strong>ed<br />

with a chartometer . <strong>The</strong> Canadian National topographic map series (Scale 1 :250,-<br />

000) was used for <strong>the</strong>se three determ<strong>in</strong>ations .<br />

Temperature (T), precipitation (P), <strong>and</strong> forest cover (F) represented<br />

climatic <strong>and</strong> vegetation variables . Mean annual daily temperatures for each<br />

watershed were obta<strong>in</strong>ed from Figure 4 .18 <strong>in</strong> Burns, (1973), <strong>and</strong> mean annual<br />

precipitation .from Figure 6 .8 <strong>in</strong> Burns (1974) . In both cases a grid was<br />

drawn over each watershed to obta<strong>in</strong> a mean value for <strong>the</strong> watershed area .<br />

Us<strong>in</strong>g <strong>the</strong> map provided <strong>in</strong> Rowe (1972), •<strong>the</strong> vegetation zones <strong>in</strong>cluded <strong>in</strong> <strong>the</strong><br />

Mackenzie Valley <strong>and</strong> Yukon were'ranked <strong>in</strong> <strong>in</strong>creas<strong>in</strong>g order <strong>of</strong> forest cover :<br />

mounta<strong>in</strong> tundra .- 1, forest <strong>and</strong> grassl<strong>and</strong> = 2, <strong>and</strong> predom<strong>in</strong>ately forest - 3 .<br />

<strong>The</strong> grid method was aga<strong>in</strong> used to determ<strong>in</strong>e an average vegetation type for<br />

<strong>the</strong> watershed .<br />

<strong>The</strong> last variable was representative <strong>of</strong> <strong>the</strong> surface geology <strong>of</strong> each<br />

watershed . A coded system for erodibility (G) <strong>of</strong> rock was obta<strong>in</strong>ed from<br />

Jansen <strong>and</strong> Pa<strong>in</strong>ter (1974) . <strong>The</strong> system assigns higher values to rock-types

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