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Gravimetric processing from samples taken using corer.

Date/TimeLocationTare (g)Wet (g)Dry (g)Density (g/cm^3)Qsoil (cm^3/cm^3) %EC5 Reading (cm^3/cm^3) %
20 Feb 2015/1157bao, 2--5cm5.58100.7483.541.1725.8923.98
20 Feb 2015/1112bao, 10--13cm2.1599.5987.361.2818.4116.38
20 Feb 2015/1129bao, 20-23cm2.5089.5178.511.1416.5613.17
9 Mar 2015/1430ehs, 2--5cm16.477152.333127.7411.6737.0228.4
20 Apr 2015/1500ehs,4--7cm8.237+8.26081.960+60.946   29.47
20 Apr 2015/1500ehs, 9--12cm8.232+8.21471.380+74.505   28.20
20 Apr 2015/1500ehs, 19--22cm8.265+2.13996.082+29.133   26.00

 

Note: Dry taken 23 Feb after air-drying in the lab for 3 days, then baking in the toaster oven for an hour.  (The oven got rid of about another 1.5g in each sample.)

The results show all EC5s about 2% low (which could be due to coupling to the soil, just after installation). 

Note2: 9 Mar sample processed as 2 aliquots (since scale range was limited).  The sum of both aliquots is shown in the above table.

Note3: 20 Apr sample also processed as 2 aliquots.  Both are shown above.

Note4: Tried to get a better depth match with 20 Apr samples, moving the 1cm ring to the top.

Note5: 20 Apr EC5 readings taken using minicom – see teardown comment.

tare = c(5.58,2.15,2.50,16.477,8.237+8.260,8.232+8.214,8.265+2.139)

wet = c(100.74,99.59,89.51,152.333,81.960+60.946,71.380+74.505,96.082+29.133)-tare

dry = c(83.54,87.36,78.51,127.741)-tare

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

rho = dry/vol

moist = (100*(wet-dry)/vol) # density numerically equal to volume mixing ratio since rho_water = 1.

ec5 = c(23.98,16.38,13.17,28.4)

matplot(moist,ec5,xlim=c(0,40),ylim=c(0,40)); abline(0,1,lty=2)

 

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