Gravimetric processing from samples taken using corer.
Date/Time | Location | Tare (g) | Wet (g) | Dry (g) | Density (g/cm^3) | Qsoil (m^3/m^3) % | EC5 Reading (m^3/m^3) % |
---|---|---|---|---|---|---|---|
20 Feb 2015/1157 | bao, 2--5cm | 5.58 | 100.74 | 83.54 | 1.17 | 25.89 | 23.98 |
20 Feb 2015/1112 | bao, 10--13cm | 2.15 | 99.59 | 87.36 | 1.28 | 18.41 | 16.38 |
20 Feb 2015/1129 | bao, 20-23cm | 2.50 | 89.51 | 78.51 | 1.14 | 16.56 | 13.17 |
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).
tare = c(5.58,2.15,2.50)
wet = c(100.74,99.59,89.51)-tare
dry = c(83.54,87.36,78.51)-tare
vol = 3*pi*(5.31/2)^2
moist = 100*(wet-dry)/vol
rho = dry/vol
ec5 = c(23.98,16.38,13.17)
matplot(moist,ec5,xlim=c(0,60),ylim=c(0,60)); abline(0,1,lty=2)