Qualitative Characterization of Granular Materials and Moisture Measurements - Broadband Reflectometry for Enhanced Diagnostics and Monitoring Applications - page 97

0.30

HL15 0 0
Regre s sion
Confi d ence le v el of 9 5 %

0.25

0.20

0.15

0.10

0.05

0.00

0 1 2 3 4 5 6 7 8

ε app

(a)

0.30

TDR80E04
Regres s ion
Confid e nce le v el of 9 5 %

0.25

0.20

0.15

0.10

0.05

0.00

0 1 2 3 4 5 6 7 8

ε app

(b)

Fig. 5.4 Global regression curve for corn flour. a obtained using the HL1500. b obtained
using the TDR80E04. Related confidence limits, associated to the 95% of probability occur-
rence, are also reported

5.4 Moisture Content Measurements through TD/FD

Combined Approach and TL Modeling

5.4.1 Moisture Content Measurements through Dielectric Mixing

Model

As mentioned in Sect. 5.2, a further enhancement of the accuracy in the estimation
of moisture content can be achieved by considering the dielectric permittivity of
each of the soil constituents (i.e., air, water, and soil particles) and their dependence
on frequency.