Measurement of soil bulk density and water content with time domain reflectometry: Algorithm implementation and method analysis
Articolo
Data di Pubblicazione:
2021
Abstract:
Time domain reflectometry can be applied to measure soil bulk density. Monitoring of bulk density over large
areas for geo-statistical analysis requires a fast and effective method allowing for acquisition of many data points.
Methods are available in the literature to obtain density from TDR. However, algorithms for simultaneous
measurements of density and soil water content are not available. Moreover, the methodologies presented in the
literature requires tests and evaluation. In this study a new algorithm implemented into a software was developed
and the method tested over samples having different textural properties. It is shown that the method
provided a measurement of density with an accuracy between 1 and 3 %. The new algorithm implements an
automated methodology combined with a non-linear least square optimization, allowing for analysis of many
waveforms at a time. Several equations to derive soil water content from electric permittivity were tested,
showing that dielectric mixing models provides more accurate results. Moreover, the optimization of parameters
allows for analysis and application to multiple materials. The method was confirmed robust and suitable for fieldmonitoring
applications.
areas for geo-statistical analysis requires a fast and effective method allowing for acquisition of many data points.
Methods are available in the literature to obtain density from TDR. However, algorithms for simultaneous
measurements of density and soil water content are not available. Moreover, the methodologies presented in the
literature requires tests and evaluation. In this study a new algorithm implemented into a software was developed
and the method tested over samples having different textural properties. It is shown that the method
provided a measurement of density with an accuracy between 1 and 3 %. The new algorithm implements an
automated methodology combined with a non-linear least square optimization, allowing for analysis of many
waveforms at a time. Several equations to derive soil water content from electric permittivity were tested,
showing that dielectric mixing models provides more accurate results. Moreover, the optimization of parameters
allows for analysis and application to multiple materials. The method was confirmed robust and suitable for fieldmonitoring
applications.
Tipologia CRIS:
1.1 Articolo in rivista
Elenco autori:
Bittelli, Marco; Tomei, Fausto; Anbazhagan, P.; Pallapati, Raghuveer Rao; Mahajan, Pushkar; Meisina, Claudia; Bordoni, Massimiliano; Valentino, Roberto
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