TY - JOUR
T1 - Three-dimensional imaging of active acid sulfate soil using a DUALEM-21S and EM inversion software
AU - Zare, E.
AU - Beucher, A.
AU - Huang, J.
AU - Boman, A.
AU - Mattbäck, Stefan
AU - Greve, MH
AU - Triantafilis, J.
PY - 2018
Y1 - 2018
N2 - One of the major environmental issues in Finland is the presence of large tracts of acid sulfate soil (ASS) landscapes along the coast. Accurately identifying the distribution of ASS sediments, and in particular soil pH, is essential for developing targeted management strategies. One approach is the use of digital soil mapping (DSM) with various ancillary information. Although electromagnetic (EM) induction data has shown potential in mapping ASS, few studies have been conducted to map the spatial distribution of pH at different depths. In this study, a DUALEM-21S was used to collect apparent soil electrical conductivity (ECa) data across a 23-ha field near Vaasa, which lies along the western coast of Finland. A quasi-3D inversion algorithm was used to calculate the estimated true electrical conductivity (σ – mS m-1). A calibration relationship was developed between s and incubation-pH measured at various depths from topsoil (0 – 0.2 m), subsurface (0.2 – 0.4 m) and subsoil (e.g. 0.4 – 0.6 and 1.8 – 2m) using an artificial neural network (ANN) model. The performance of the ANN model was good given the large R2 values for calibration (0.72) and validation (0.65). It was concluded that the combination of ECa data and quasi-3D inversion algorithm (in EM4Soil) was able to map the spatial distribution of incubation-pH associated within an ASS landscape. The approach has the potential to be applied across the coastal areas of Finland and elsewhere to map incubation-pH and identify active-ASS areas and thereby improve the management of these areas.
AB - One of the major environmental issues in Finland is the presence of large tracts of acid sulfate soil (ASS) landscapes along the coast. Accurately identifying the distribution of ASS sediments, and in particular soil pH, is essential for developing targeted management strategies. One approach is the use of digital soil mapping (DSM) with various ancillary information. Although electromagnetic (EM) induction data has shown potential in mapping ASS, few studies have been conducted to map the spatial distribution of pH at different depths. In this study, a DUALEM-21S was used to collect apparent soil electrical conductivity (ECa) data across a 23-ha field near Vaasa, which lies along the western coast of Finland. A quasi-3D inversion algorithm was used to calculate the estimated true electrical conductivity (σ – mS m-1). A calibration relationship was developed between s and incubation-pH measured at various depths from topsoil (0 – 0.2 m), subsurface (0.2 – 0.4 m) and subsoil (e.g. 0.4 – 0.6 and 1.8 – 2m) using an artificial neural network (ANN) model. The performance of the ANN model was good given the large R2 values for calibration (0.72) and validation (0.65). It was concluded that the combination of ECa data and quasi-3D inversion algorithm (in EM4Soil) was able to map the spatial distribution of incubation-pH associated within an ASS landscape. The approach has the potential to be applied across the coastal areas of Finland and elsewhere to map incubation-pH and identify active-ASS areas and thereby improve the management of these areas.
KW - quasi 3-d inversion
KW - soil acidity mapping
KW - environmental management
KW - three-dimensional imaging of soil pH
KW - active acid sulfate soil
KW - quasi 3-d inversion
KW - soil acidity mapping
KW - environmental management
KW - three-dimensional imaging of soil pH
KW - active acid sulfate soil
KW - quasi 3-d inversion
KW - soil acidity mapping
KW - environmental management
KW - three-dimensional imaging of soil pH
KW - active acid sulfate soil
U2 - 10.1016/j.jenvman.2018.02.008
DO - 10.1016/j.jenvman.2018.02.008
M3 - Artikel
SN - 0301-4797
VL - 212
SP - 99
EP - 107
JO - Journal of Environmental Management
JF - Journal of Environmental Management
ER -