Details zur Publikation |
| Kategorie | Textpublikation |
| Referenztyp | Zeitschriften |
| DOI | 10.1016/j.jenvman.2026.129426 |
| Titel (primär) | Identification of transformation and sources of nitrate in a typical agricultural river of South-Central China using hydrochemistry, multiple isotopes and Bayesian model |
| Autor | Jiang, S.; Rao, W.; Li, T.; Song, Z.; Li, Z.; Li, X.; Rode, M.
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| Quelle | Journal of Environmental Management |
| Erscheinungsjahr | 2026 |
| Department | ASAM |
| Band/Volume | 404 |
| Seite von | art. 129426 |
| Sprache | englisch |
| Topic | T4 Coastal System |
| Supplements | Supplement 1 Supplement 2 Supplement 3 |
| Keywords | Nitrate pollution; Denitrification; Dual nitrate isotopes; MixSIAR model; Uncertainty analysis |
| Abstract | Nitrate pollution is a global concern, which threats aquatic ecosystems and human health. However, variations in hydrochemistry, isotopic compositions, riverine nitrate source contributions and transformation processes are under-investigated, which hinders the development of effective nitrate pollution control and mitigation strategies at watershed scale. This study integrated hydrochemistry, dual nitrate isotopes (δ15N/δ18O-NO3-) and stable water isotope (δ18O-H2O) measurements, principal component analysis and Bayesian model MixSIAR to identify nitrate transformation processes and major pollution sources, estimate seasonal variations of nitrate source contributions and associated uncertainties in a typical agricultural watershed of South-Central China. The MixSIAR model confirmed agricultural fertilizer as the predominant nitrate source (38.7-52.7%) followed by soil nitrogen (18.6-35.0%), both showing seasonal dynamics. Manure and sewage represented the secondary source (12.1-24.3%), while atmospheric deposition was a minor source (8.92-9.22%). Uncertainties associated with agricultural fertilizer and soil nitrogen were relatively higher due to wide isotopic ranges, whereas those associated with manure and sewage were moderate and atmospheric deposition through rainfall were low. Hydrochemistry and isotopic signatures clearly identified nitrification, denitrification and biological assimilation processes in river water, but these did not significantly alter the dominance of external nitrate sources on NO3− concentrations. This study provides a prototype for similar watersheds to apply integrated hydrochemistry and multiple isotopes in quantitative identification of nitrate transformation processes and pollution sources. It may also help to improve decision-making on nitrate pollution control and mitigation strategies. |
| Jiang, S., Rao, W., Li, T., Song, Z., Li, Z., Li, X., Rode, M. (2026): Identification of transformation and sources of nitrate in a typical agricultural river of South-Central China using hydrochemistry, multiple isotopes and Bayesian model J. Environ. Manage. 404 , art. 129426 10.1016/j.jenvman.2026.129426 |
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