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

Abstract 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 com...

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Published in:Scientific Reports
Main Authors: Yong Zhang, Shi Yu, Shiyi He, Pingan Sun, Fu Wu, Zhenyu Liu, Haiyan Zhu, Xiao Li, Peng Zeng
Format: Article in Journal/Newspaper
Language:English
Published: Nature Portfolio 2021
Subjects:
R
Q
Online Access:https://doi.org/10.1038/s41598-021-84602-1
https://doaj.org/article/1d60216c5cae45ff9677c824b04649b7
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spelling ftdoajarticles:oai:doaj.org/article:1d60216c5cae45ff9677c824b04649b7 2023-05-15T15:52:33+02:00 New estimate of chemical weathering rate in Xijiang River Basin based on multi-model Yong Zhang Shi Yu Shiyi He Pingan Sun Fu Wu Zhenyu Liu Haiyan Zhu Xiao Li Peng Zeng 2021-03-01T00:00:00Z https://doi.org/10.1038/s41598-021-84602-1 https://doaj.org/article/1d60216c5cae45ff9677c824b04649b7 EN eng Nature Portfolio https://doi.org/10.1038/s41598-021-84602-1 https://doaj.org/toc/2045-2322 doi:10.1038/s41598-021-84602-1 2045-2322 https://doaj.org/article/1d60216c5cae45ff9677c824b04649b7 Scientific Reports, Vol 11, Iss 1, Pp 1-26 (2021) Medicine R Science Q article 2021 ftdoajarticles https://doi.org/10.1038/s41598-021-84602-1 2022-12-31T05:25:11Z Abstract 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 × 103 mol/km2/year, where carbonic acid was the main factor that induces weathering. The CO2 flux consumed by rock weathering in the basin during the study period was 150.69 × 109 mol/year, while the CO2 flux consumed by carbonic acid weathering of carbonate (CCW) and silicate rocks (CSW) was 144.47 and 29.45 × 109 mol/year, respectively. The CO2 flux produced by H2SO4 weathered carbonate (SCW) was 23.23 × 109 mol/year. Article in Journal/Newspaper Carbonic acid Directory of Open Access Journals: DOAJ Articles Scientific Reports 11 1
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Yong Zhang
Shi Yu
Shiyi He
Pingan Sun
Fu Wu
Zhenyu Liu
Haiyan Zhu
Xiao Li
Peng Zeng
New estimate of chemical weathering rate in Xijiang River Basin based on multi-model
topic_facet Medicine
R
Science
Q
description Abstract 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 × 103 mol/km2/year, where carbonic acid was the main factor that induces weathering. The CO2 flux consumed by rock weathering in the basin during the study period was 150.69 × 109 mol/year, while the CO2 flux consumed by carbonic acid weathering of carbonate (CCW) and silicate rocks (CSW) was 144.47 and 29.45 × 109 mol/year, respectively. The CO2 flux produced by H2SO4 weathered carbonate (SCW) was 23.23 × 109 mol/year.
format Article in Journal/Newspaper
author Yong Zhang
Shi Yu
Shiyi He
Pingan Sun
Fu Wu
Zhenyu Liu
Haiyan Zhu
Xiao Li
Peng Zeng
author_facet Yong Zhang
Shi Yu
Shiyi He
Pingan Sun
Fu Wu
Zhenyu Liu
Haiyan Zhu
Xiao Li
Peng Zeng
author_sort Yong Zhang
title 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_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_sort new estimate of chemical weathering rate in xijiang river basin based on multi-model
publisher Nature Portfolio
publishDate 2021
url https://doi.org/10.1038/s41598-021-84602-1
https://doaj.org/article/1d60216c5cae45ff9677c824b04649b7
genre Carbonic acid
genre_facet Carbonic acid
op_source Scientific Reports, Vol 11, Iss 1, Pp 1-26 (2021)
op_relation https://doi.org/10.1038/s41598-021-84602-1
https://doaj.org/toc/2045-2322
doi:10.1038/s41598-021-84602-1
2045-2322
https://doaj.org/article/1d60216c5cae45ff9677c824b04649b7
op_doi https://doi.org/10.1038/s41598-021-84602-1
container_title Scientific Reports
container_volume 11
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