题名 | Hydrochemistry of the Lhasa River, Tibetan Plateau: Spatiotemporal Variations of Major Ions Compositions and Controlling Factors Using Multivariate Statistical Approaches |
作者 | |
通讯作者 | Kuang,Xingxing |
发表日期 | 2021-12-01
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DOI | |
发表期刊 | |
EISSN | 2073-4441
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卷号 | 13期号:24 |
摘要 | Spatiotemporal variations of the hydrochemical major ions compositions and their controlling factors are essential features of a river basin. However, similar studies in the southern Tibetan Plateau are relatively limited. This study focuses on the chemical compositions of the dissolved loads in the Lhasa River (LR) in the southern Tibetan Plateau. Two sampling campaigns were conducted during the rainy and dry seasons across the LR basin to systematically investigate the spatiotemporal variations of water chemistry and sources of the dissolved loads. The results show that the river water possesses slight alkalinity with an average pH of 8.05 ± 0.04. Total dissolved solids (TDS) and oxidation-reduction potential (ORP) range widely from 39.8 mg/L to 582.6 mg/L with an average value of 165.6 ± 7.7 mg/L and from −9.4 mV to 295 mV with a mean value of 153.7 ± 6.9 mV, respectively. The major cations follow the decreasing order of Ca, Mg, Na, and K while HCO, SO, Cl, and NO for anions. Ca and Mg account for 87.8% of the total cations, while HCO and SO accounts for 93.9% of the total anions. All the major ions show higher concentrations in the dry season. NO, HCO, and Mg show significant spatial variations due to the influence of basin lithology and anthropogenic activity. Multi-variables statistical analysis reveals that the mechanisms controlling the LR hydrochemistry are mainly carbonate weathering followed by silicate weathering. Geothermal springs and anthropogenic activities also play crucial roles in altering river water ions composition in the middle stream and downstream. The relatively high NO value (3 ± 0.2 mg/L) suggests water quality will be under the threat of pollution with the increase of anthropogenic activities. |
关键词 | |
相关链接 | [Scopus记录] |
收录类别 | |
语种 | 英语
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学校署名 | 通讯
|
资助项目 | National Natural Science Foundation of China[91747204]
; National Natural Science Foundation of China[92047202]
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WOS研究方向 | Environmental Sciences & Ecology
; Water Resources
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WOS类目 | Environmental Sciences
; Water Resources
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WOS记录号 | WOS:000742103900001
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出版者 | |
EI入藏号 | 20215211388065
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EI主题词 | Alkalinity
; Dissolution
; Drought
; Groundwater
; Lithology
; Multivariant analysis
; Positive ions
; Redox reactions
; Rivers
; Silicates
; Water quality
; Weathering
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EI分类号 | Precipitation:443.3
; Water Resources:444
; Groundwater:444.2
; Water Analysis:445.2
; Geology:481.1
; Geochemistry:481.2
; Chemistry, General:801.1
; Chemical Reactions:802.2
; Chemical Operations:802.3
; Statistical Methods:922
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Scopus记录号 | 2-s2.0-85121588571
|
来源库 | Scopus
|
引用统计 |
被引频次[WOS]:5
|
成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/259984 |
专题 | 工学院_环境科学与工程学院 |
作者单位 | 1.School of Environment,Harbin Institute of Technology,Harbin,150090,China 2.School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China 3.Shenzhen Municipal Engineering Lab of Environmental IoT Technologies,School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China |
第一作者单位 | 环境科学与工程学院 |
通讯作者单位 | 环境科学与工程学院 |
推荐引用方式 GB/T 7714 |
Zhu,Meizhuang,Kuang,Xingxing,Feng,Yuqing,et al. Hydrochemistry of the Lhasa River, Tibetan Plateau: Spatiotemporal Variations of Major Ions Compositions and Controlling Factors Using Multivariate Statistical Approaches[J]. Water (Switzerland),2021,13(24).
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APA |
Zhu,Meizhuang.,Kuang,Xingxing.,Feng,Yuqing.,Hao,Yinlei.,He,Qiule.,...&Zheng,Chunmiao.(2021).Hydrochemistry of the Lhasa River, Tibetan Plateau: Spatiotemporal Variations of Major Ions Compositions and Controlling Factors Using Multivariate Statistical Approaches.Water (Switzerland),13(24).
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MLA |
Zhu,Meizhuang,et al."Hydrochemistry of the Lhasa River, Tibetan Plateau: Spatiotemporal Variations of Major Ions Compositions and Controlling Factors Using Multivariate Statistical Approaches".Water (Switzerland) 13.24(2021).
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