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6/15:

Started processing these soils at about 1815 today -- rather late for samples taken about 1100, so might be a bit too dry.

Dry weights taken 21 hours later.Dry weights taken 21 hours later

Comparison sensor measurements read by eye from WWW plot.

6/21: 1200

In both cases, should have driven the corer further in (collar was flush, but apparently had compacted) -- use 0-2cm in both cases.  a.soil also still had some litter and b.soil had some roots.  

6/26: 1015

A bit drier than before.  Mike Daniels helped.  I think we got the whole 3cm in the top sample, though the soil may have been compacted in the process.

7/3: 1015/1025

A bit wetter due to some rain last night.  Note that the wetness profile probably isn't uniform, though Qsoils did show an uptick.  b 0-3cm probably was compacted too much (too dense). Scales have been moved into base trailer (from AABC lab).

Date

Position

Tare (g) (g)

Wet (g) (g)

Dry (g) (g) Moist (%)

rho (g/cm^3)

Moist (%) rho

Moist (g/cm^3%)
EC-5

6/15

soil.a 0-3cm

7.981

74.357

48.354 48.354 39.2

0.61

39.2 0.61

 

6/15

soil.a 3-6cm

7.940

97.473

72.210 72.210

28.2

0.97

2838.2 0 0.

97 30

6/15

soil.b 0-3cm

7.945

90.836

67.464 67.464

28.2

0.90

2835.2 0.90

 

6/15

soil.b 3-6cm

7.991

98.365

78.623

1.06

29.7

23

6/21

soil.a 0-3cm

7.972

51.536

29.353

0.48

50.1

 

6/21

soil.a 3-6cm

7.940

102.324

68.270

0.91

51.3

27

6/21

soil.b 0-3cm

7.927

59.973

42.641

0.78

39.623 1

 

6/21

soil.b 3-6cm

7.987

74.350

55.189

0.71

28.8

25

6/26

soil.a 0-3cm

7.972

116.089

79.391

1.06

21.8

1.06

.08

55.2

 

6/26

soil.a 3-6cm

7.939

120.337

92.536

1.27

41.8

34

6/26

soil.b 0-3cm

7.926

78.270

59.924

0.78

27.6

 

6/26

soil.b 3-6cm

7.984

103.500

84.423

1.15

28.7

21

7/3

soila 0-3cm

7.990

73.581

46.360

0.58

41.0

 

7/3

soila 3-6cm

7.945

96.626

69.548

0.93

40.8

34

7/3

soilb 0-3cm

7.913

105.195

77.396

1.05

41.8

 

7/3

soilb 3-6cm

7.986

103.252

83.068

1.13

30.4

22

 

tare = c(tare = c(7.981,7.940,7.945,7.991)
> wet = ,c(747.357972,977.473940,90,836,98.365)
> dry = c(48.354,72.210,67.464,78.623)
tare = 7.927,7.987),c(7.972,7.939,7.926,7.984),c(7.981990,7.940945,7.945913,7.991985))

wet = c(74.357,97.473,90.836,98.365,51.536,102.324,59.973,74.350,116.089,120.337,78.270,103.500,73.581,96.626,105.195,103.252)-tare

dry = c(48.354,72.210,67.464,78.623,29.353,68.270,42.641,55.189,79.391,92.536,59.924,84.423,46.360,69.548,77.396,83.068)-tare

moist vol = 100*(wet-dry)/wetvol = 3c(2,3)*pi*(5.31/2)^2rho

moist = 100*(wet-dry)/vol

tare = c(7.981,7.940,7.945,7.991)
> wet = c(74.357,97.473,90,836,98.365)
> dry = c(48.354,72.210,67.464,78.623)
tare = c(7.981,7.940,7.945,7.991)

wet = c(74.357,97.473,90.836,98.365)-tare

dry = c(48.354,72.210,67.464,78.623)-tare

moist = 100*(wet-dry)/wet

vol = 3*pi*(5.31/2)^2

[c(2,2,2,2,1,2,1,2,2,2,2,2,2,2,2,2)]

rho = dry/vol[c(2,2,2,2,1,2,1,2,2,2,2,2,2,2,2,2)]

m = array(moist,c(2,2,4))

grav.moist = t(0.5*(m[1,,]+m[2,,]))

grav.comp = t(m[2,,])

ec5 = matrix(c(30,23,27,25,34,21,34,22),ncol=2,byrow=T)

matplot(grav.comp,ec5,xlim=c(0,60),ylim=c(0,60)); abline(0,1,lty=2); abline(-8,1,col=3,lty=2)rho = dry/vol