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FigL;re 2 - Linear trends in specific conductivity at Spoil Spring #1 indicated by <br />monitoring data collected at three different discharge rates <br />Explanation: Specific conductivity is an indirect indicator of sulfate and TDS concentrations, and is <br />graphed here because there are more sample data for specific conductivity than for sulfate or TDS. <br />Tempe Specific (Specific conductivity is the field conductivity adjusted for sample temperature.) The dashed line is the <br />rature conductivi linear trend indicated by the graphed monitoring data. The equation for the linear trend is shown. A <br />Field correc ty higher R-squared indicates a better fit of data to the linear trend. Data for three different discharge rates <br />Sample Discharge condu tion (umhos/c are graphed separately to remove dilutional effects caused by varying discharge. <br />date (cfs) ctivity factor m) <br />Low-/low data: <br />2/24/93 0.011 2610 1.45 3785 <br />3/25/93 0.011 2670 1.21 3231 <br />9/28/93 0.010 2550 1.18 3009 <br />10/15/97 0.012 2800 1.30 3640 <br />4/21/98 0.012 2850 1.11 3164 <br />1/11/99 0.014 2400 1.37 3288 <br />3/9/99 0.014 2125 1.27 2699 <br />Intermediate flow data: <br />5/25/95 0.078 2660 1.24 3298 <br />1/26/96 0.079 2250 1.45 3263 <br />2/9/96 0.079 2700 1.21 3267 <br />6/27/96 0.079 2300 1.21 2783 <br />1!7/97 0.079 2400 1.45 3480 <br />6/17/97 0.079 2800 1.13 3164 <br />6/3/98 0.079 2800 1.OB 3024 <br />5/4/99 0.079 2575 1.18 3039 <br />Hlgh flow data <br />7/11/96 0.162 2400 1.04 2496 <br />10/9/96 0.162 1620 1.13 1831 <br />8/19/97 0.162 2900 1.06 3074 <br />9/10/98 0.162 2550 1.24 3162 <br />6/14/99 0.162 2125 1.21 2571 <br />Low flow (0.010 to 0.014 cfs), 7 samples <br />4000 <br />~~ E 3500 <br />a 3ooD <br />U L 2SOO <br />u E 2000 <br />~~ E 1500 <br />a 1000 <br />d' ~~ o- o- h 5 6 6 1 1 e e a a <br />~09 A o9 A e 9 n A ~09 ~ o~ 9 0~ A <br />Fa P° Fa PJ Fa P° Qa PJ Fa PJ 4a Pv Fa P~ <br /> Intermediate flow (0.078 to 0.090 cfs), 8 samples <br />_~ <br />~ <br /> 3500 <br />~ ~ <br />a 3000 <br /> <br />u t zsoo <br /> <br />E 2D00 <br /> <br />g -~ 1500 <br /> taoo <br />m h~9~ <br />`ti <br />ti y\9h 5~9y ~y6 00'6 h~96 h~96 y\91 X91 X91 ~~91 h~90 y~g0 X90 y~o,0 y~9~ h~9~ <br />ry <br />ry <br />ti <br />ti <br />ti <br />ti <br />ti <br />ti <br />ti <br />ti <br />ry <br />ti <br />ti <br />ti <br />ry <br /> ~~ <br />,~ <br />a <br />y~ <br />0~ <br />ye y~ <br />~~ <br />,~ <br />a <br />ye <br />~~ <br />`~ <br />~~ <br />a <br />ye <br />~ <br /> 1 , <br />, <br />, <br />Division's interaretation <br />In the three graphs, the <br />strongest trend (highest R- <br />squared) is shown in the <br />high flow graph, which <br />shows an increasing trend. <br />The Division believes, <br />however, none of the three <br />graphs have a high enough <br />R-squared to firmly indicate <br />whether specific <br />conductivity is increasing or <br />is decreasing over the long- <br />term. The data set in each <br />of the three cases is too <br />small or is too variable to <br />confidently project the <br />spring's long-term water <br />quality. <br /> High flow (0.162 cfs), 5 samples <br /> <br />'> 3500 <br /> <br />~ ~ <br />a 3000 <br />c 2500 <br />0 <br />~ E 200 <br />c E <br />... <br />~ 1500 <br />a <br />i <br />a <br />v) 1000 <br /> <br />6 0 <br />9 0 <br /> <br />6 1 1 1 1 1 1 0 0 0 0 0 0 °~ °, 9 <br />9 0 <br />o, <br />9 <br />9 ci <br />0 9 <br />0, <br />o, <br />9 9 <br />9 <br />~ 0 <br /> ~ <br />~, <br />~ <br />4, <br />c <br />~ <br />~ <br />, <br />c • <br />a <br />a <br />a~ ,J <br />aQ <br />o <br />a ~a <br />a~ ,J ~d <br />o ~ <br />~ <br />,•a ~a <br />a~ <br />I ~ , <br />~ <br />~ <br />y <br />~ <br />' <br />~ <br />~ ~ <br /> <br /> <br /> <br /> <br /> <br /> ~ <br />r,€~' i~~;. ~~_~ "-,rrtlr;ae~~v' ;~'v <br />~ r- ,~,4,r~;w :;-cng<, <br /> <br /> <br /> <br />t v . .c. _ .. ~</'~ <br /> <br />` <br />. <br />.~ <br />~n~+ <br />f x." '~ ( <br />~ .. <br />-ag 25t ~C -.'-:~ <br /> 3 <br />~ „"\ i7F- .Y~ t'\DYTYyt r 3-, t~R.Y. <br />