Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.jenvman.2024.121798 |
Assessing catchment-scale groundwater discharge: Optimal tracers and factors analysis | |
Xia, Yun; Xiao, Jun; Wang, Wanzhou; Yan, Xin; Li, Zhi | |
通讯作者 | Li, Z |
来源期刊 | JOURNAL OF ENVIRONMENTAL MANAGEMENT
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ISSN | 0301-4797 |
EISSN | 1095-8630 |
出版年 | 2024 |
卷号 | 366 |
英文摘要 | Identifying streamwater-groundwater interactions (SGI) is crucial for effective water resource management, especially in arid and semi-arid regions. Despite the effectiveness of tracers in detecting these interactions, their large-scale application is challenged by the variability in tracer characteristics and natural conditions. This study addresses these challenges through extensive research across seven watersheds (7636-60,916 km 2 ) in China 's Loess Plateau (CLP). We utilized multiple physicochemical and stable isotope tracers (8 2 H and 8 18 O) to elucidate the spatiotemporal variations and controlling factors of SGI, and to estimate uncertainties in quantifying SGI using various indicators during unidirectional water exchange periods. Our findings indicated that groundwater discharge into streamwater dominates SGI in the CLP, with mean discharge ratios (the percentage of river flow that originates from groundwater discharge) varying from 10% to 57%. Significant spatial variability was observed both across and within watersheds. The central watersheds exhibited lower discharge ratios (23 +/- 11%) compared to the northern (29 +/- 12%) and southern (25 +/- 13%) watersheds. The upper reaches showed higher discharge ratios (28 +/- 12%) compared to the middle and lower reaches (22 +/- 8%). Loess thickness and vegetation primarily limit groundwater discharge by affecting groundwater storage and water flow velocity. The utilization of individual isotopic or hydrochemical indicators introduces large uncertainties in quantifying groundwater discharge ratios due to isotope fractionation or water-rock interaction, while the combination of these two indicators can reduce uncertainties in quantifying SGI. This study provides valuable insights for selecting environmental tracers to quantify SGI, contributing to sustainable water resource management in arid and semi-arid regions. |
英文关键词 | Streamwater-groundwater interaction Stable isotopes Uncertainty sources MixSIAR Loess-covered area |
类型 | Article |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:001272107700001 |
WOS关键词 | SURFACE-WATER INTERACTIONS ; LOESS PLATEAU ; STABLE-ISOTOPES ; VEGETATION ; RIVER ; HYDROLOGY |
WOS类目 | Environmental Sciences |
WOS研究方向 | Environmental Sciences & Ecology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/404484 |
推荐引用方式 GB/T 7714 | Xia, Yun,Xiao, Jun,Wang, Wanzhou,et al. Assessing catchment-scale groundwater discharge: Optimal tracers and factors analysis[J],2024,366. |
APA | Xia, Yun,Xiao, Jun,Wang, Wanzhou,Yan, Xin,&Li, Zhi.(2024).Assessing catchment-scale groundwater discharge: Optimal tracers and factors analysis.JOURNAL OF ENVIRONMENTAL MANAGEMENT,366. |
MLA | Xia, Yun,et al."Assessing catchment-scale groundwater discharge: Optimal tracers and factors analysis".JOURNAL OF ENVIRONMENTAL MANAGEMENT 366(2024). |
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