TY - JOUR
T1 - Space-Time Modeling of the Electrical Conductivity of Soil in a Geothermal Zone
AU - Anaya-Flores, Raquel
AU - Cruz-Cárdenas, Gustavo
AU - Silva, José Teodoro
AU - Ochoa-Estrada, Salvador
AU - Álvarez-Bernal, Dioselina
N1 - Publisher Copyright:
© 2018 Taylor & Francis.
PY - 2018/5/15
Y1 - 2018/5/15
N2 - 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.
AB - 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.
KW - Digital soil mapping
KW - multivariate statistics
KW - regression-Kriging
KW - remote sensing
KW - salt movement
UR - http://www.scopus.com/inward/record.url?scp=85044508995&partnerID=8YFLogxK
U2 - 10.1080/00103624.2018.1448862
DO - 10.1080/00103624.2018.1448862
M3 - Artículo
SN - 0010-3624
VL - 49
SP - 1107
EP - 1118
JO - Communications in Soil Science and Plant Analysis
JF - Communications in Soil Science and Plant Analysis
IS - 9
ER -