Geographical differentiation of riverine DOM composition and source apportionment: A case study of a riverine network of a mountainous stream, a Plain River, and an artificial canal

Jun-wei Zhao; Shuang-bing Huang; Zhao-xin Su; Wei-chao Huang; Yong Qian

doi:10.26599/JGSE.2026.9280072

Volume 14 Issue 1

Mar. 2026

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Article Navigation > Journal of Groundwater Science and Engineering > 2026 > 14(1): 59-68

Zhao JW, Huang SB, Su ZX, et al. 2026. Geographical differentiation of riverine DOM composition and source apportionment: A case study of a riverine network of a mountainous stream, a Plain River, and an artificial canal. Journal of Groundwater Science and Engineering, 14(1): 59-68 doi: 10.26599/JGSE.2026.9280072

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Geographical differentiation of riverine DOM composition and source apportionment: A case study of a riverine network of a mountainous stream, a Plain River, and an artificial canal

doi: 10.26599/JGSE.2026.9280072

1.
Hubei Key Laboratory of Petroleum Geochemistry and Environment and School of Resources and Environment, Yangtze University, Wuhan 430100, China
2.
Key Laboratory of Groundwater Remediation of Hebei Province and China Geological Survey, Shijiazhuang 050061, China
3.
Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, Shijiazhuang 050061, China

More Information

Corresponding author: huangsb@yangtzeu.edu.cn; desertqy@163.com
Received Date: 2025-04-28
Accepted Date: 2025-09-25

Available Online: 2025-11-24

Publish Date: 2026-03-15

Abstract

Abstract

To elucidate the geographical differentiation characteristics and driving mechanisms of Dissolved Organic Matter (DOM) in typical rivers, this study conducted a multi-spectral investigation on three representative river types within Shandong Province: The mountainous Dawen River, the plain Tuhai River, and the artificial East Grand Canal. The DOM composition was analyzed using Ultraviolet-Visible (UV-Vis) absorption spectroscopy, Excitation-Emission Matrix (EEM) fluorescence spectroscopy, and parallel factor analysis (PARAFAC), while Principal Component Analysis (PCA) was employed to quantify the synergistic effects of natural processes and anthropogenic activities. Results revealed significant spatial heterogeneity in DOM composition and sources. The plain river exhibited the highest aromaticity (humic-like components: 43.3%) due to long-term agricultural non-point source inputs and urban wastewater discharge. The mountain stream, shaped by complex terrain and relatively intact ecosystems, was dominated by autochthonous DOM derived from microbial metabolism, with higher Fluorescence Index (FI = 2.12) and biological index (BIX = 1.35) than other river types. The artificial canal retained protein-like components (64.2%), largely attributed to winter hydrological stagnation and disturbances from shipping activities. Further analysis demonstrated that geographical settings (e.g., mountain terrain) and anthropogenic activities (e.g., agriculture, shipping) jointly regulated DOM composition by altering the balance between input and transformation processes. Integrated fluorescence parameters and PCA results suggested differentiated management strategies: protecting ecological integrity in mountain streams to sustain self-purification, enhancing non-point source interception in plain rivers, and mitigating shipping pollution in canals. This study systematically reveals the natural-anthropogenic coupling mechanisms driving DOM dynamics in northern China rivers, providing critical insights for precision water environment management at the watershed scale.
- Dissolved organic matter (DOM),
- UV-Vis spectroscopy,
- Parallel factor analysis (PARAFAC),
- Geographical settings,
- Anthropogenic activities

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References(46)

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