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New estimate of chemical weathering rate in Xijiang River Basin based on multi-model

Hydrochemistry and Sr isotope compositions were measured in water samples collected during high- and low-water periods from the main stream and tributaries of the Xijiang River Basin in southern China. The primary weathering end-members were analyzed and calculated using the multi-model combination...

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Autores principales: Zhang, Yong, Yu, Shi, He, Shiyi, Sun, Pingan, Wu, Fu, Liu, Zhenyu, Zhu, Haiyan, Li, Xiao, Zeng, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7952734/
https://www.ncbi.nlm.nih.gov/pubmed/33707460
http://dx.doi.org/10.1038/s41598-021-84602-1
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author Zhang, Yong
Yu, Shi
He, Shiyi
Sun, Pingan
Wu, Fu
Liu, Zhenyu
Zhu, Haiyan
Li, Xiao
Zeng, Peng
author_facet Zhang, Yong
Yu, Shi
He, Shiyi
Sun, Pingan
Wu, Fu
Liu, Zhenyu
Zhu, Haiyan
Li, Xiao
Zeng, Peng
author_sort Zhang, Yong
collection PubMed
description Hydrochemistry and Sr isotope compositions were measured in water samples collected during high- and low-water periods from the main stream and tributaries of the Xijiang River Basin in southern China. The primary weathering end-members were analyzed and calculated using the multi-model combination and classic hydrogeochemical method. During the high-water period, structural factors were found to be the main factors controlling chemical weathering in the basin, whereas anthropogenic activity and other random factors had a negligible influence. During the low-water period, both structural and random factors controlled chemical weathering. Through path-model and semi-variance analyses, we determined and quantified the relationship between the main weathering sources, whose results were stable; this is consistent with the inversion model. The total dissolved substances were mainly derived from carbonate weathering, which was approximately 76% (0–96%) while silicate weathering accounted for only 14% (5–19%). The inversion model results showed that the optimum silicate weathering rate was 7.264–35.551 × 10(3) mol/km(2)/year, where carbonic acid was the main factor that induces weathering. The CO(2) flux consumed by rock weathering in the basin during the study period was 150.69 × 10(9) mol/year, while the CO(2) flux consumed by carbonic acid weathering of carbonate (CCW) and silicate rocks (CSW) was 144.47 and 29.45 × 10(9) mol/year, respectively. The CO(2) flux produced by H(2)SO(4) weathered carbonate (SCW) was 23.23 × 10(9) mol/year.
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spelling pubmed-79527342021-03-15 New estimate of chemical weathering rate in Xijiang River Basin based on multi-model Zhang, Yong Yu, Shi He, Shiyi Sun, Pingan Wu, Fu Liu, Zhenyu Zhu, Haiyan Li, Xiao Zeng, Peng Sci Rep Article Hydrochemistry and Sr isotope compositions were measured in water samples collected during high- and low-water periods from the main stream and tributaries of the Xijiang River Basin in southern China. The primary weathering end-members were analyzed and calculated using the multi-model combination and classic hydrogeochemical method. During the high-water period, structural factors were found to be the main factors controlling chemical weathering in the basin, whereas anthropogenic activity and other random factors had a negligible influence. During the low-water period, both structural and random factors controlled chemical weathering. Through path-model and semi-variance analyses, we determined and quantified the relationship between the main weathering sources, whose results were stable; this is consistent with the inversion model. The total dissolved substances were mainly derived from carbonate weathering, which was approximately 76% (0–96%) while silicate weathering accounted for only 14% (5–19%). The inversion model results showed that the optimum silicate weathering rate was 7.264–35.551 × 10(3) mol/km(2)/year, where carbonic acid was the main factor that induces weathering. The CO(2) flux consumed by rock weathering in the basin during the study period was 150.69 × 10(9) mol/year, while the CO(2) flux consumed by carbonic acid weathering of carbonate (CCW) and silicate rocks (CSW) was 144.47 and 29.45 × 10(9) mol/year, respectively. The CO(2) flux produced by H(2)SO(4) weathered carbonate (SCW) was 23.23 × 10(9) mol/year. Nature Publishing Group UK 2021-03-11 /pmc/articles/PMC7952734/ /pubmed/33707460 http://dx.doi.org/10.1038/s41598-021-84602-1 Text en © The Author(s) 2021 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Zhang, Yong
Yu, Shi
He, Shiyi
Sun, Pingan
Wu, Fu
Liu, Zhenyu
Zhu, Haiyan
Li, Xiao
Zeng, Peng
New estimate of chemical weathering rate in Xijiang River Basin based on multi-model
title New estimate of chemical weathering rate in Xijiang River Basin based on multi-model
title_full New estimate of chemical weathering rate in Xijiang River Basin based on multi-model
title_fullStr New estimate of chemical weathering rate in Xijiang River Basin based on multi-model
title_full_unstemmed New estimate of chemical weathering rate in Xijiang River Basin based on multi-model
title_short New estimate of chemical weathering rate in Xijiang River Basin based on multi-model
title_sort new estimate of chemical weathering rate in xijiang river basin based on multi-model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7952734/
https://www.ncbi.nlm.nih.gov/pubmed/33707460
http://dx.doi.org/10.1038/s41598-021-84602-1
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