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Mogens Humlekrog Greve

Detailed predictive mapping of acid sulfate soil occurrence using electromagnetic induction data

Publikation: KonferencebidragKonferenceabstrakt til konferenceForskning

Acid sulfate soils are often called the nastiest soils in the world (Dent & Pons 1995). Releasing a toxic combination of acidity and metals into the recipient watercourses and estuaries, these soils represent a crucial environmental problem. Moreover, these soils can have a considerable economic impact through the resulting corrosion of concrete and steel infrastructures, or their poor geotechnical qualities. Therefore, mapping acid sulfate soil occurrence constitutes a key step to target the strategic areas for subsequent environmental risk management and mitigation. Conventional mapping (i.e. soil sampling and subsequent pH measurements) has typically been used for acid sulfate soils. Nonetheless, spatial modelling techniques have recently been assessed, demonstrating promising results at catchment or regional extent (Beucher et al. 2014, 2015). Furthermore, electromagnetic induction data obtained from a EM38 proximal sensor enabled the refined mapping of acid sulfate soils over a field (Huang et al. 2014). The present study aims at developing an efficient and reliable method for the detailed predictive mapping of acid sulfate soil occurrence in a field located in western Finland. Different machine learning approaches will be assessed using soil and environmental data, in particular proximal sensing electromagnetic data collected from a DUALEM. The measurements of the apparent soil electrical conductivity can provide data on the spatial variation of soil salinity, which is associated with acid sulfate soils, but also of soil texture. This information appears as critical because the spatial distribution of different acid sulfate soil material types (clay, silt, sand, etc.) may have a great influence on the related environmental hazards (e.g. leaching of acidity) and their spatial variability at the extent of a field.
OriginalsprogEngelsk
Udgivelsesår2017
StatusUdgivet - 2017
BegivenhedPedometrics Conference - Wageningen, Holland
Varighed: 26 jun. 20171 jul. 2017
http://www.pedometrics2017.org/

Konference

KonferencePedometrics Conference
LandHolland
ByWageningen
Periode26/06/201701/07/2017
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