Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Identifying Peat Soil Layers in the South Kalimantan, Indonesia Using K-Means Clustering

Version 1 : Received: 26 February 2018 / Approved: 27 February 2018 / Online: 27 February 2018 (05:21:36 CET)

How to cite: Iryanti, M.; Aminudin, A.; Agustine, E.; Bijaksana, S.; Srigutomo, W.; Setiawan, T. Identifying Peat Soil Layers in the South Kalimantan, Indonesia Using K-Means Clustering. Preprints 2018, 2018020175. https://doi.org/10.20944/preprints201802.0175.v1 Iryanti, M.; Aminudin, A.; Agustine, E.; Bijaksana, S.; Srigutomo, W.; Setiawan, T. Identifying Peat Soil Layers in the South Kalimantan, Indonesia Using K-Means Clustering. Preprints 2018, 2018020175. https://doi.org/10.20944/preprints201802.0175.v1

Abstract

Various type of soils have been identified based on their electrical and magnetic properties, especially with regards to peat soils. Peat soils are commonly considered as partly decomposed vegetation. In this study, electrical and magnetic properties have been used in K-means clustering to identify layers of peat soils. K-means clustering is a partitioning method that treats observations in the data. Data cores were obtained at every centimeter and examined for their electrical conductivity (σ) and magnetic susceptibility (χm) properties. A 291 cm core was obtained at Tegal Arum Village in South Kalimantan, Indonesia. The K-means clustering results indicate two different layers at 148 cm, and this is supported by loss on ignition (LOI) measurements. In the first layers, a 87.65% LOI was found associated with peat soils (above 248 cm). Whereas, in the second layers, there was a 26.11% LOI associated with mineral soils (below 248 cm). The results of this study using K-means clustering can be used to delineate soil layers.

Keywords

peat; electrical conductivity; magnetic susceptibility; K-means clustering; loss on ignition (LOI); organic soils; mineral soils; Indonesia

Subject

Environmental and Earth Sciences, Environmental Science

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