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Predicting sedimentary bedrock subsurface weathering fronts and weathering rates

Although bedrock weathering strongly influences water quality and global carbon and nitrogen budgets, the weathering depths and rates within subsurface are not well understood nor predictable. Determination of both porewater chemistry and subsurface water flow are needed in order to develop more com...

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Autores principales: Wan, Jiamin, Tokunaga, Tetsu K., Williams, Kenneth H., Dong, Wenming, Brown, Wendy, Henderson, Amanda N., Newman, Alexander W., Hubbard, Susan S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6868182/
https://www.ncbi.nlm.nih.gov/pubmed/31748585
http://dx.doi.org/10.1038/s41598-019-53205-2
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author Wan, Jiamin
Tokunaga, Tetsu K.
Williams, Kenneth H.
Dong, Wenming
Brown, Wendy
Henderson, Amanda N.
Newman, Alexander W.
Hubbard, Susan S.
author_facet Wan, Jiamin
Tokunaga, Tetsu K.
Williams, Kenneth H.
Dong, Wenming
Brown, Wendy
Henderson, Amanda N.
Newman, Alexander W.
Hubbard, Susan S.
author_sort Wan, Jiamin
collection PubMed
description Although bedrock weathering strongly influences water quality and global carbon and nitrogen budgets, the weathering depths and rates within subsurface are not well understood nor predictable. Determination of both porewater chemistry and subsurface water flow are needed in order to develop more complete understanding and obtain weathering rates. In a long-term field study, we applied a multiphase approach along a mountainous watershed hillslope transect underlain by marine shale. Here we report three findings. First, the deepest extent of the water table determines the weathering front, and the range of annually water table oscillations determines the thickness of the weathering zone. Below the lowest water table, permanently water-saturated bedrock remains reducing, preventing deeper pyrite oxidation. Secondly, carbonate minerals and potentially rock organic matter share the same weathering front depth with pyrite, contrary to models where weathering fronts are stratified. Thirdly, the measurements-based weathering rates from subsurface shale are high, amounting to base cation exports of about 70 kmol(c) ha(−1) y(−1), yet consistent with weathering of marine shale. Finally, by integrating geochemical and hydrological data we present a new conceptual model that can be applied in other settings to predict weathering and water quality responses to climate change.
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spelling pubmed-68681822019-12-04 Predicting sedimentary bedrock subsurface weathering fronts and weathering rates Wan, Jiamin Tokunaga, Tetsu K. Williams, Kenneth H. Dong, Wenming Brown, Wendy Henderson, Amanda N. Newman, Alexander W. Hubbard, Susan S. Sci Rep Article Although bedrock weathering strongly influences water quality and global carbon and nitrogen budgets, the weathering depths and rates within subsurface are not well understood nor predictable. Determination of both porewater chemistry and subsurface water flow are needed in order to develop more complete understanding and obtain weathering rates. In a long-term field study, we applied a multiphase approach along a mountainous watershed hillslope transect underlain by marine shale. Here we report three findings. First, the deepest extent of the water table determines the weathering front, and the range of annually water table oscillations determines the thickness of the weathering zone. Below the lowest water table, permanently water-saturated bedrock remains reducing, preventing deeper pyrite oxidation. Secondly, carbonate minerals and potentially rock organic matter share the same weathering front depth with pyrite, contrary to models where weathering fronts are stratified. Thirdly, the measurements-based weathering rates from subsurface shale are high, amounting to base cation exports of about 70 kmol(c) ha(−1) y(−1), yet consistent with weathering of marine shale. Finally, by integrating geochemical and hydrological data we present a new conceptual model that can be applied in other settings to predict weathering and water quality responses to climate change. Nature Publishing Group UK 2019-11-20 /pmc/articles/PMC6868182/ /pubmed/31748585 http://dx.doi.org/10.1038/s41598-019-53205-2 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Wan, Jiamin
Tokunaga, Tetsu K.
Williams, Kenneth H.
Dong, Wenming
Brown, Wendy
Henderson, Amanda N.
Newman, Alexander W.
Hubbard, Susan S.
Predicting sedimentary bedrock subsurface weathering fronts and weathering rates
title Predicting sedimentary bedrock subsurface weathering fronts and weathering rates
title_full Predicting sedimentary bedrock subsurface weathering fronts and weathering rates
title_fullStr Predicting sedimentary bedrock subsurface weathering fronts and weathering rates
title_full_unstemmed Predicting sedimentary bedrock subsurface weathering fronts and weathering rates
title_short Predicting sedimentary bedrock subsurface weathering fronts and weathering rates
title_sort predicting sedimentary bedrock subsurface weathering fronts and weathering rates
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6868182/
https://www.ncbi.nlm.nih.gov/pubmed/31748585
http://dx.doi.org/10.1038/s41598-019-53205-2
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