Space-Time Modeling of the Electrical Conductivity of Soil in a Geothermal Zone

The aim of this study was to generate models to predict the salinity of the soils in the geothermal zone which is located in Michoacán, México, over space and time. Systematic sampling was performed at locations 400 m apart with a sampling period every 48 days. At each site, two soil samples, from d...

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Bibliographic Details
Published in:Communications in Soil Science and Plant Analysis 2018-05, Vol.49 (9), p.1107-1118
Main Authors: Anaya-Flores, Raquel, Cruz-Cárdenas, Gustavo, Silva, José Teodoro, Ochoa-Estrada, Salvador, Álvarez-Bernal, Dioselina
Format: Article
Language:English
Subjects:
Electrical conductivity
Electrical resistivity
Kriging interpolation
Mathematical models
Modelling
Regression analysis
Sampling
Soil
Soil conductivity
Soil salinity
Statistical methods
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Summary:The aim of this study was to generate models to predict the salinity of the soils in the geothermal zone which is located in Michoacán, México, over space and time. Systematic sampling was performed at locations 400 m apart with a sampling period every 48 days. At each site, two soil samples, from depths of 0-30 cm and 30-60 cm, were collected and analysed in laboratory. Regression-Kriging was used to make spatial predictions of the electrical conductivity of soil (ECs). Spherical and Gaussian theoretical models fit the experimental semivariograms. The results showed that the soil samples ranged from slightly saline (2.1-4 dS m-1) to strongly saline (8.1-16 dS m-1). In addition, the ECs was greater at a depth of 30-60 cm than it was at a depth of 0-30 cm. The ECs decreased from more than 8.0 dS m-1 to less than 4.0 dS m-1 after the first sampling period.
ISSN:0010-3624
1532-2416
1532-4133
DOI:10.1080/00103624.2018.1448862