A simplified distillation-based sulfur speciation method for sulfidic soil materials

Autor: Krister Dalhem, Stefan Mattbäck, Anton Boman, Peter Österholm

Publikováno v: Bulletin of the Geological Society of Finland, Vol 93, Iss 1, Pp 19-30 (2021)

Speciation of inorganic sulfur species, mainly pyrite and metastable iron sulfides by operationally defined methods, is widely used for risk assessment of acid sulfate soils by quantifying the acidity producing elements, as well as for general charac

Externí odkaz: https://doaj.org/article/b63201883c67416d8be9a4794c38ae01

Subsurface hydrochemical precision treatment of a coastal acid sulfate soil

Autor: Sten Engblom, Peter Österholm, Pekka Sten, Krister Dalhem

Publikováno v: Applied Geochemistry. 100:352-362

Some of the most economically valued soils for agricultural use are naturally occurring sulfide rich sediments. However, formation of acid sulfate soils with sulfuric materials (pH ≤ 4) can occur when sulfidic materials are exposed to air, which ca

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e7c042a496b3925eeda5077705004b57
https://doi.org/10.1016/j.apgeochem.2018.12.005

Assessing the use of deep learning for acid sulfate soil mapping

Autor: Amelie Beucher, Stefan Mattbäck, Christian Prinds, Krister Dalhem, Mogens Humlekrog Greve

Publikováno v: Beucher, A, Mattbäck, S, Prinds, C, Dalhem, K & Greve, M H 2019, ' Assessing the use of deep learning for acid sulfate soil mapping. ', EGU 2019, Vienna, Austria, 08/04/2019-12/04/2019 .
Aarhus University

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8a6ac4e6d32ec1ff53382223127c33b4
https://pure.au.dk/portal/da/publications/assessing-the-use-of-deep-learning-for-acid-sulfate-soil-mapping(17653aa8-8dbc-4503-8a8a-6d8905fd0037).html