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Amélie Marie Beucher

Assessment of acid sulfate soil mapping utilizing chemical indicators in recipient waters

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DOI

  • Amélie Beucher
  • Sören Fröjdö, Abo Akad Univ, Abo Akademi University
  • ,
  • Peter Österholm, Abo Akad Univ, Abo Akademi University
  • ,
  • Jaakko Auri, Geological Survey of Finland
  • ,
  • Annu Martinkauppi, Geological Survey of Finland
  • ,
  • Peter Edén, Geological Survey of Finland

In Finland, poor water quality and associated ecological damage in the coastal streams related to land use on acid sulfate (a.s.) soils has been drawing a considerable amount of attention since the 1950’s. These soils originate from sulfide-bearing marine sediments mostly occurring in the coastal areas located below the highest shoreline of the former Litorina Sea. Of the many previous studies carried out on soil or water data, quite few gathered both and their geographic extent was relatively limited. This study aimed at assessing a.s. soil probability maps using two chemical indicators measured in the recipient waters (i.e. sulfate content and sulfate/chloride ratio) for 24 catchments along the Finnish coast. All the available data was compiled for these catchments, which were surveyed using different methods (i.e. conventional mapping and two spatial modeling techniques: fuzzy logic and artificial neural networks). High sulfate contents and sulfate/ chloride ratios measured in these rivers were controlled by a.s. soils in the corresponding catchments. The extent of the most probable areas for a.s. soils in the surveyed catchments correlated with the two chemical indicators measured in the recipient waters, suggesting that the probability maps created with different methods are reliable and comparable. The use of a.s. soil related chemical indicators in water, thus, constitutes a complementary, independent and straightforward tool to assess a.s. soil probability maps.

Original languageEnglish
JournalBulletin of the Geological Society of Finland
Volume87
Issue1
Pages (from-to)5-23
Number of pages19
ISSN0367-5211
DOIs
Publication statusPublished - 1 Jan 2015
Externally publishedYes

    Research areas

  • (GeoRef Thesaurus,AGI): Acid sulfate soils, Artificial intelligence, Drainage basins, Finland, Fuzzy logic, Mapping, Neural networks, Rivers, Sulfates

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