Investigating Peat Soil Stratigraphy and Marine Clay Formation Using the Geophysical Method in Padas Valley, Northern Borneo

Mohamad, Habib Musa; Kasbi, B.; Baba, Mitsuhisa; Adnan, Z.; Hardianshah, S.; Ismail, Siti Saidatul Azween

doi:10.1155/2021/6681704

Cited by 5 publications

(5 citation statements)

References 33 publications

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“…is sand texture con rms there is ancient sedimentation below 10 meter depth with resistivity value of 11.5-25.1 Ωm. It is an agreement with [57] that electrical resistivity can also help to estimate peat basin structure and mineral sediments.…”

Section: Resultssupporting

confidence: 86%

Soil Physical Characteristics and Saturated Hydraulic Conductivity in the Landform of Barito Delta, Kalimantan, Indonesia

Arisanty

Rahmawati

Rosadi

2022

Applied and Environmental Soil Science

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We explore the soil physical characteristics in wetland of Barito Delta from primary data of soil sample and electrical resistivity measurement with the support from some secondary data. We also estimate saturated hydraulic conductivity (Ks) in Barito Delta from soil physical characteristics applying Saxton and Rawls (1986) and Weynants et al. (2009). Soil texture profile is determined from interpolation of soil fraction in each layer applying Bayesian statistics to analyze soil physical characteristics in the landforms of Delta. Clay is the dominant soil fraction in the soil of Barito Delta. Clay fraction percentage decrease along the depth of soil profile as it reaches fine sand particles deriving from ancient sedimentation from the past. It is an opposite with soil organic matter content that has contrast value from 1st to 2nd soil depth, but a few discrepancy from 3rd depth to downward direction. The content of clay in the soil depends on the sedimentation activity in the landform. Clay is dominant soil particle in the Delta; in case, it is in flat area and there is no intensive of sea water sedimentation such as in Basin of Peat Anticline and Natural Levee. In more than 2 m depth of soil, loamy sand and silty clay textures are mostly in the landform that is influenced by sea water activity, while by river water is clay loam. Ks values from Saxton and Rawls (1986) are close to Ks values from the measurement of previous studies. Ks values are generally small in Barito Delta that is mostly ranging from 1.10−7 to 2 m s−1. Ks values are larger following the depth of soil profile. The values of Ks are smaller in Basin of Peat Anticline and Natural Levee than in Tidal Flat and Beach Ridge. It is because both landforms have clay as dominant soil particles.

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Section: Resultssupporting

confidence: 86%

Soil Physical Characteristics and Saturated Hydraulic Conductivity in the Landform of Barito Delta, Kalimantan, Indonesia

Arisanty

Rahmawati

Rosadi

2022

Applied and Environmental Soil Science

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“…The resistivity ranges in Figure 1 have been deduced from the examples in the literature. Peat soil has a wide resistivity range spanning from tens to a few hundred Ωm, depending on the moisture content, salt concentration, degree of decomposition, and mineral composition (Mohamad et al., 2021; Silvestri, Christensen, et al., 2019; Silvestri, Knight, et al., 2019; Valois et al., 2021). Also the resistivity of clay sediments may vary significantly depending on the soil conditions (in particular, the water content and its salinity) (Cheng et al., 2019; Samouëlian et al., 2005; Solberg et al., 2014).…”

Section: Methodsmentioning

confidence: 99%

Probabilistic Petrophysical Reconstruction of Danta's Alpine Peatland via Electromagnetic Induction Data

Zaru,

Silvestri,

Assiri

et al. 2024

Earth and Space Science

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Peatlands are fundamental deposits of organic carbon. Thus, their protection is of crucial importance to avoid emissions from their degradation. Peat is a mixture of organic soil that originates from the accumulation of wetland plants under continuous or cyclical anaerobic conditions for long periods. Hence, a precise quantification of peat deposits is extremely important; for that, remote‐ and proximal‐sensing techniques are excellent candidates. Unfortunately, remote‐sensing can provide information only on the few shallowest centimeters, whereas peatlands often extend to several meters in depth. In addition, peatlands are usually characterized by difficult (flooded) terrains. So, frequency‐domain electromagnetic instruments, as they are compact and contactless, seem to be the ideal solution for the quantitative assessment of the extension and geometry of peatlands. Generally, electromagnetic methods are used to infer the electrical resistivity of the subsurface. In turn, the resistivity distribution can, in principle, be interpreted to infer the morphology of the peatland. Here, to some extent, we show how to shortcut the process and include the expectation and uncertainty regarding the peat resistivity directly into a probabilistic inversion workflow. The present approach allows for retrieving what really matters: the spatial distribution of the probability of peat occurrence, rather than the mere electrical resistivity. To evaluate the efficiency and effectiveness of the proposed probabilistic approach, we compare the outcomes against the more traditional deterministic fully nonlinear (Occam's) inversion and against some boreholes available in the investigated area.

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“…The 5-layer width for the filter has been chosen by inspecting the effect on the final resistivity vertical profiles: a shorter span would have not satisfactorily reduced the erratic behavior of the original resistivity (thick lines in Figure 1), whereas a filter window larger than 0.5 m would have smeared out the sharp interfaces between the lithologies. Peat soil has a wide resistivity range spanning from tens to a few hundred Ωm, depending on the manuscript submitted to Earth and Space Science moisture content, salt concentration, degree of decomposition, and mineral composition (Silvestri et al, 2019a;Silvestri et al 2019b;Valois et al 2021;Mohamad et al, 2021). Also the resistivity of clay sediments may vary significantly depending on the soil conditions (in particular, the water content and its salinity) (Samouëlian et al 2005;Solberg et al 2014;Cheng et al 2019).…”

Section: Generation Of the Prior Modelsmentioning

confidence: 99%

Probabilistic petrophysical reconstruction of Danta's Alpine peatland via electromagnetic induction data

Vignoli,

Zaru,

Silvestri

et al. 2024

Preprint

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Peatlands are fundamental deposits of organic carbon. Thus, their protection is of crucial importance to avoid emissions from their degradation. Peat is a mixture of organic soil that originates from the accumulation of wetland plants under continuous or cyclical anaerobic conditions for long periods. Hence, a precise quantification of peat deposits is extremely important; for that, remote-and proximal-sensing techniques are excellent candidates. Unfortunately, remote-sensing can provide information only on the few shallowest centimeters, whereas peatlands often extend to several meters in depth. In addition, peatlands are usually characterized by difficult (flooded) terrains. So, frequency-domain electromagnetic instruments, as they are compact and contactless, seem to be the ideal solution for the quantitative assessment of the extension and geometry of peatlands. Generally, electromagnetic methods are used to infer the electrical resistivity of the subsurface. In turn, the resistivity distribution can, in principle, be interpreted to infer the morphology of the peatland. Here, to some extent, we show how to shortcut the process and include the expectation and uncertainty regarding the peat resistivity directly into a probabilistic inversion workflow. The present approach allows for retrieving what really matters: the spatial distribution of the probability of peat occurrence, rather than the mere electrical resistivity. To evaluate the efficiency and effectiveness of the proposed probabilistic approach, we compare the outcomes against the more traditional deterministic fully nonlinear (Occam's) inversion and against some boreholes available in the investigated area.

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Investigating Peat Soil Stratigraphy and Marine Clay Formation Using the Geophysical Method in Padas Valley, Northern Borneo

Cited by 5 publications

References 33 publications

Soil Physical Characteristics and Saturated Hydraulic Conductivity in the Landform of Barito Delta, Kalimantan, Indonesia

Soil Physical Characteristics and Saturated Hydraulic Conductivity in the Landform of Barito Delta, Kalimantan, Indonesia

Probabilistic Petrophysical Reconstruction of Danta's Alpine Peatland via Electromagnetic Induction Data

Probabilistic petrophysical reconstruction of Danta's Alpine peatland via electromagnetic induction data

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