Identifying surface water and groundwater interactions using multiple experimental methods in the riparian zone of the polluted and disturbed Shaying River, China

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Identifying surface water and groundwater interactions using multiple experimental methods in the riparian zone of the polluted and disturbed Shaying River, China. / Li, Baoling; Yang, Lihu; Song, Xianfang; Diamantopoulos, Efstathios.

In: Science of the Total Environment, Vol. 875, 162616, 2023.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Li, B, Yang, L, Song, X & Diamantopoulos, E 2023, 'Identifying surface water and groundwater interactions using multiple experimental methods in the riparian zone of the polluted and disturbed Shaying River, China', Science of the Total Environment, vol. 875, 162616. https://doi.org/10.1016/j.scitotenv.2023.162616

APA

Li, B., Yang, L., Song, X., & Diamantopoulos, E. (2023). Identifying surface water and groundwater interactions using multiple experimental methods in the riparian zone of the polluted and disturbed Shaying River, China. Science of the Total Environment, 875, [162616]. https://doi.org/10.1016/j.scitotenv.2023.162616

Vancouver

Li B, Yang L, Song X, Diamantopoulos E. Identifying surface water and groundwater interactions using multiple experimental methods in the riparian zone of the polluted and disturbed Shaying River, China. Science of the Total Environment. 2023;875. 162616. https://doi.org/10.1016/j.scitotenv.2023.162616

Author

Li, Baoling ; Yang, Lihu ; Song, Xianfang ; Diamantopoulos, Efstathios. / Identifying surface water and groundwater interactions using multiple experimental methods in the riparian zone of the polluted and disturbed Shaying River, China. In: Science of the Total Environment. 2023 ; Vol. 875.

Bibtex

@article{2ce90bce0c474fd2b6c55a4dc32a27be,
title = "Identifying surface water and groundwater interactions using multiple experimental methods in the riparian zone of the polluted and disturbed Shaying River, China",
abstract = "Identifying groundwater (GW)–surface water (SW) interactions in riparian zones is important for assessing the transport pathways of pollutants and all potential biochemical processes, particularly in rivers with artificially controlled water levels. In this study, we constructed two monitoring transects along the nitrogen–polluted Shaying River, China. The GW–SW interactions were qualitatively and quantitatively characterized through an intensive 2-y monitoring program. The monitoring indices included water level, hydrochemical parameters, isotopes (δ18O, δD, and 222Rn) and microbial community structures. The results showed that the sluice altered the GW–SW interactions in the riparian zone. A decrease in river level occurs during the flood season owing to sluice regulation, resulting in discharge of riparian GW into the river. The water level, hydrochemistry, isotopes, and microbial community structures in near-river wells were similar to those in the river, indicating mixing of the river water with the riparian GW. As the distance from the river increased, the percentage of river water in the riparian GW decreased, whereas the GW residence time increased. We found that nitrogen may be easily transported through the GW–SW interactions, acting as a sluice regulator. Nitrogen stored in river water may be removed or diluted by mixing GW and rainwater during the flood season. As the residence time of the infiltrated river in the riparian aquifer increased, nitrate removal increased. Identifying the GW–SW interactions is crucial for water resource regulation and for further tracing the transport of contaminants such as nitrogen in the historically polluted Shaying River.",
keywords = "Huai River, Hydrochemistry, Microbial diversity, Radon, δO and δD",
author = "Baoling Li and Lihu Yang and Xianfang Song and Efstathios Diamantopoulos",
note = "Publisher Copyright: {\textcopyright} 2023 Elsevier B.V.",
year = "2023",
doi = "10.1016/j.scitotenv.2023.162616",
language = "English",
volume = "875",
journal = "Science of the Total Environment",
issn = "0048-9697",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Identifying surface water and groundwater interactions using multiple experimental methods in the riparian zone of the polluted and disturbed Shaying River, China

AU - Li, Baoling

AU - Yang, Lihu

AU - Song, Xianfang

AU - Diamantopoulos, Efstathios

N1 - Publisher Copyright: © 2023 Elsevier B.V.

PY - 2023

Y1 - 2023

N2 - Identifying groundwater (GW)–surface water (SW) interactions in riparian zones is important for assessing the transport pathways of pollutants and all potential biochemical processes, particularly in rivers with artificially controlled water levels. In this study, we constructed two monitoring transects along the nitrogen–polluted Shaying River, China. The GW–SW interactions were qualitatively and quantitatively characterized through an intensive 2-y monitoring program. The monitoring indices included water level, hydrochemical parameters, isotopes (δ18O, δD, and 222Rn) and microbial community structures. The results showed that the sluice altered the GW–SW interactions in the riparian zone. A decrease in river level occurs during the flood season owing to sluice regulation, resulting in discharge of riparian GW into the river. The water level, hydrochemistry, isotopes, and microbial community structures in near-river wells were similar to those in the river, indicating mixing of the river water with the riparian GW. As the distance from the river increased, the percentage of river water in the riparian GW decreased, whereas the GW residence time increased. We found that nitrogen may be easily transported through the GW–SW interactions, acting as a sluice regulator. Nitrogen stored in river water may be removed or diluted by mixing GW and rainwater during the flood season. As the residence time of the infiltrated river in the riparian aquifer increased, nitrate removal increased. Identifying the GW–SW interactions is crucial for water resource regulation and for further tracing the transport of contaminants such as nitrogen in the historically polluted Shaying River.

AB - Identifying groundwater (GW)–surface water (SW) interactions in riparian zones is important for assessing the transport pathways of pollutants and all potential biochemical processes, particularly in rivers with artificially controlled water levels. In this study, we constructed two monitoring transects along the nitrogen–polluted Shaying River, China. The GW–SW interactions were qualitatively and quantitatively characterized through an intensive 2-y monitoring program. The monitoring indices included water level, hydrochemical parameters, isotopes (δ18O, δD, and 222Rn) and microbial community structures. The results showed that the sluice altered the GW–SW interactions in the riparian zone. A decrease in river level occurs during the flood season owing to sluice regulation, resulting in discharge of riparian GW into the river. The water level, hydrochemistry, isotopes, and microbial community structures in near-river wells were similar to those in the river, indicating mixing of the river water with the riparian GW. As the distance from the river increased, the percentage of river water in the riparian GW decreased, whereas the GW residence time increased. We found that nitrogen may be easily transported through the GW–SW interactions, acting as a sluice regulator. Nitrogen stored in river water may be removed or diluted by mixing GW and rainwater during the flood season. As the residence time of the infiltrated river in the riparian aquifer increased, nitrate removal increased. Identifying the GW–SW interactions is crucial for water resource regulation and for further tracing the transport of contaminants such as nitrogen in the historically polluted Shaying River.

KW - Huai River

KW - Hydrochemistry

KW - Microbial diversity

KW - Radon

KW - δO and δD

U2 - 10.1016/j.scitotenv.2023.162616

DO - 10.1016/j.scitotenv.2023.162616

M3 - Journal article

C2 - 36898545

AN - SCOPUS:85149910672

VL - 875

JO - Science of the Total Environment

JF - Science of the Total Environment

SN - 0048-9697

M1 - 162616

ER -

ID: 357479509