Research of the Arctic Soils Using an Artificial Neural Network

Desert-Arctic soils – balasamy (W–C1), are found in the most northerly position in the Arctic. These soils are characterized by a light granulometric composition and are formed in the areas recently released from glaciers, and develop under a crust of blue-green algae. Arctic soils (AO-AY-BC–C) are common on loamy and gravelly– loamy soils (Severnaya Zemlya, Novaya Zemlya, Franz Josef Land, North of the Taimyr Peninsula). They are characterized by wedge-shaped horizons, and are formed in the form of polygons with a diameter of 0.5–1.0 m under moss-shrub vegetation. Carbonate pelozems (WSA–SSA) are found on deluvial deposits of carbonate rocks on loamy-gravelly soils. The vegetation cover is represented by lichens and rare specimens of flowering plants. In the Arctic tundra, on the most drained areas on loamy and gravelly-loamy soils, humified weak-clay (gley) soils (AO-A-CRMg-C(D)) are common. In terms of morphology and chemistry, these soils are similar to Arctic soils, but differ from them in the large development of wedge-shaped horizons. In this work, the composition of Arctic soils was studied using a neural network.

• Publication year

  2021

• Venue

  Journal of Ecological Engineering

• Publication date

  2021-10-01

• Fields of study

  Computer Science, Environmental Science

• Identifiers
  DOI 10.12911/22998993/141297
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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