Chemical weathering detection in the periglacial landscapes of Maritime Antarctica:New approach using geophysical sensors, topographic variables and machine learning algorithms
The chemical weathering intensity in Antarctica is underestimated. As the chemical weathering intensity increases, hydrological, geochemical and geophysical changes occur in the different environmental spheres and at their interfaces through reactions and energy flows. Thus, once chemical weathering...
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2023
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Online Access: | https://pure.au.dk/portal/en/publications/5d3a6107-b625-4974-aa08-4fb0478db4e4 https://doi.org/10.1016/j.geoderma.2023.116615 https://pure.au.dk/ws/files/358517964/1-s2.0-S0016706123002926-main.pdf http://www.scopus.com/inward/record.url?scp=85165707835&partnerID=8YFLogxK |
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ftuniaarhuspubl:oai:pure.atira.dk:publications/5d3a6107-b625-4974-aa08-4fb0478db4e4 2024-01-07T09:39:33+01:00 Chemical weathering detection in the periglacial landscapes of Maritime Antarctica:New approach using geophysical sensors, topographic variables and machine learning algorithms de Mello, Danilo César Veloso, Gustavo Vieira Moquedace, Cassio Marques de Angeli Oliveira, Isabelle Francelino, Márcio Rocha de Oliveira, Fabio Soares de Souza, José João Lelis Leal Gomes, Lucas Carvalho Schaefer, Carlos Ernesto Gonçalves Reynaud Fernandes-Filho, Elpídio Inácio de Medeiros Júnior, Edgar Batista Demattê, José Alexandre Melo 2023-10 application/pdf https://pure.au.dk/portal/en/publications/5d3a6107-b625-4974-aa08-4fb0478db4e4 https://doi.org/10.1016/j.geoderma.2023.116615 https://pure.au.dk/ws/files/358517964/1-s2.0-S0016706123002926-main.pdf http://www.scopus.com/inward/record.url?scp=85165707835&partnerID=8YFLogxK eng eng https://pure.au.dk/portal/en/publications/5d3a6107-b625-4974-aa08-4fb0478db4e4 info:eu-repo/semantics/openAccess de Mello , D C , Veloso , G V , Moquedace , C M , de Angeli Oliveira , I , Francelino , M R , de Oliveira , F S , de Souza , J J L L , Gomes , L C , Schaefer , C E G R , Fernandes-Filho , E I , de Medeiros Júnior , E B & Demattê , J A M 2023 , ' Chemical weathering detection in the periglacial landscapes of Maritime Antarctica : New approach using geophysical sensors, topographic variables and machine learning algorithms ' , Geoderma , vol. 438 , 116615 . https://doi.org/10.1016/j.geoderma.2023.116615 Gamma-ray spectrometry Geophysical survey Machine learning Periglacial Process Weathering intensity article 2023 ftuniaarhuspubl https://doi.org/10.1016/j.geoderma.2023.116615 2023-12-13T23:59:52Z The chemical weathering intensity in Antarctica is underestimated. As the chemical weathering intensity increases, hydrological, geochemical and geophysical changes occur in the different environmental spheres and at their interfaces through reactions and energy flows. Thus, once chemical weathering rates are understood and estimated, they can be used to predict and assess changes and trends in different environmental spheres. Few studies on the chemical weathering intensity have been performed in Antarctica. We used radiometric and magnetic properties associated with terrain attributes and the chemical degree of alteration of the igneous rock to model the chemical weathering intensity in Maritime Antarctica by using machine learning. Then, we related the chemical weathering intensity and geophysical variables with periglacial processes. To do this, gamma-spectrometric and magnetic readings were carried out using proximal-field sensors at 91 points located on different lithologies in a representative area of Maritime Antarctica. A qualitative analysis of chemical alteration for the different lithologies was carried out based on field observations and rock properties, and the levels of the chemical weathering degree were established. The geophysical data associated with terrain attributes were used as input data in the modeling of the weathering intensity. Then, the levels of the rock weathering degree were used as the “y” variable in the models. The results indicated that the C5.0 algorithm had the best performance in predicting the weathering intensity, and the most important variables were eTh, 40 K, 40 K/eTh, 40 K/eU, the magnetic susceptibility and terrain attributes. The contents of radionuclides and ferrimagnetic minerals in different lithologies, concomitantly with the intensity at which chemical weathering occurs, determine the contents of these elements. However, the stability and distribution of these elements in a cold periglacial environment are controlled by periglacial processes. The chemical ... Article in Journal/Newspaper Antarc* Antarctica Aarhus University: Research The ''Y'' ENVELOPE(-112.453,-112.453,57.591,57.591) Geoderma 438 116615 |
institution |
Open Polar |
collection |
Aarhus University: Research |
op_collection_id |
ftuniaarhuspubl |
language |
English |
topic |
Gamma-ray spectrometry Geophysical survey Machine learning Periglacial Process Weathering intensity |
spellingShingle |
Gamma-ray spectrometry Geophysical survey Machine learning Periglacial Process Weathering intensity de Mello, Danilo César Veloso, Gustavo Vieira Moquedace, Cassio Marques de Angeli Oliveira, Isabelle Francelino, Márcio Rocha de Oliveira, Fabio Soares de Souza, José João Lelis Leal Gomes, Lucas Carvalho Schaefer, Carlos Ernesto Gonçalves Reynaud Fernandes-Filho, Elpídio Inácio de Medeiros Júnior, Edgar Batista Demattê, José Alexandre Melo Chemical weathering detection in the periglacial landscapes of Maritime Antarctica:New approach using geophysical sensors, topographic variables and machine learning algorithms |
topic_facet |
Gamma-ray spectrometry Geophysical survey Machine learning Periglacial Process Weathering intensity |
description |
The chemical weathering intensity in Antarctica is underestimated. As the chemical weathering intensity increases, hydrological, geochemical and geophysical changes occur in the different environmental spheres and at their interfaces through reactions and energy flows. Thus, once chemical weathering rates are understood and estimated, they can be used to predict and assess changes and trends in different environmental spheres. Few studies on the chemical weathering intensity have been performed in Antarctica. We used radiometric and magnetic properties associated with terrain attributes and the chemical degree of alteration of the igneous rock to model the chemical weathering intensity in Maritime Antarctica by using machine learning. Then, we related the chemical weathering intensity and geophysical variables with periglacial processes. To do this, gamma-spectrometric and magnetic readings were carried out using proximal-field sensors at 91 points located on different lithologies in a representative area of Maritime Antarctica. A qualitative analysis of chemical alteration for the different lithologies was carried out based on field observations and rock properties, and the levels of the chemical weathering degree were established. The geophysical data associated with terrain attributes were used as input data in the modeling of the weathering intensity. Then, the levels of the rock weathering degree were used as the “y” variable in the models. The results indicated that the C5.0 algorithm had the best performance in predicting the weathering intensity, and the most important variables were eTh, 40 K, 40 K/eTh, 40 K/eU, the magnetic susceptibility and terrain attributes. The contents of radionuclides and ferrimagnetic minerals in different lithologies, concomitantly with the intensity at which chemical weathering occurs, determine the contents of these elements. However, the stability and distribution of these elements in a cold periglacial environment are controlled by periglacial processes. The chemical ... |
format |
Article in Journal/Newspaper |
author |
de Mello, Danilo César Veloso, Gustavo Vieira Moquedace, Cassio Marques de Angeli Oliveira, Isabelle Francelino, Márcio Rocha de Oliveira, Fabio Soares de Souza, José João Lelis Leal Gomes, Lucas Carvalho Schaefer, Carlos Ernesto Gonçalves Reynaud Fernandes-Filho, Elpídio Inácio de Medeiros Júnior, Edgar Batista Demattê, José Alexandre Melo |
author_facet |
de Mello, Danilo César Veloso, Gustavo Vieira Moquedace, Cassio Marques de Angeli Oliveira, Isabelle Francelino, Márcio Rocha de Oliveira, Fabio Soares de Souza, José João Lelis Leal Gomes, Lucas Carvalho Schaefer, Carlos Ernesto Gonçalves Reynaud Fernandes-Filho, Elpídio Inácio de Medeiros Júnior, Edgar Batista Demattê, José Alexandre Melo |
author_sort |
de Mello, Danilo César |
title |
Chemical weathering detection in the periglacial landscapes of Maritime Antarctica:New approach using geophysical sensors, topographic variables and machine learning algorithms |
title_short |
Chemical weathering detection in the periglacial landscapes of Maritime Antarctica:New approach using geophysical sensors, topographic variables and machine learning algorithms |
title_full |
Chemical weathering detection in the periglacial landscapes of Maritime Antarctica:New approach using geophysical sensors, topographic variables and machine learning algorithms |
title_fullStr |
Chemical weathering detection in the periglacial landscapes of Maritime Antarctica:New approach using geophysical sensors, topographic variables and machine learning algorithms |
title_full_unstemmed |
Chemical weathering detection in the periglacial landscapes of Maritime Antarctica:New approach using geophysical sensors, topographic variables and machine learning algorithms |
title_sort |
chemical weathering detection in the periglacial landscapes of maritime antarctica:new approach using geophysical sensors, topographic variables and machine learning algorithms |
publishDate |
2023 |
url |
https://pure.au.dk/portal/en/publications/5d3a6107-b625-4974-aa08-4fb0478db4e4 https://doi.org/10.1016/j.geoderma.2023.116615 https://pure.au.dk/ws/files/358517964/1-s2.0-S0016706123002926-main.pdf http://www.scopus.com/inward/record.url?scp=85165707835&partnerID=8YFLogxK |
long_lat |
ENVELOPE(-112.453,-112.453,57.591,57.591) |
geographic |
The ''Y'' |
geographic_facet |
The ''Y'' |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_source |
de Mello , D C , Veloso , G V , Moquedace , C M , de Angeli Oliveira , I , Francelino , M R , de Oliveira , F S , de Souza , J J L L , Gomes , L C , Schaefer , C E G R , Fernandes-Filho , E I , de Medeiros Júnior , E B & Demattê , J A M 2023 , ' Chemical weathering detection in the periglacial landscapes of Maritime Antarctica : New approach using geophysical sensors, topographic variables and machine learning algorithms ' , Geoderma , vol. 438 , 116615 . https://doi.org/10.1016/j.geoderma.2023.116615 |
op_relation |
https://pure.au.dk/portal/en/publications/5d3a6107-b625-4974-aa08-4fb0478db4e4 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1016/j.geoderma.2023.116615 |
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Geoderma |
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438 |
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116615 |
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