Spatiotemporal dynamics and machine learning forecasting of heavy metal contamination in Mediterranean riverine sediments: a case study of the Tangier-Tetouan region, Morocco.
- DOI
- 10.1007/s10661-026-15913-x
- Published
- 2026-09-11
- Container
- Environ Monit Assess
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1007/s10661-026-15913-x,
title = {Spatiotemporal dynamics and machine learning forecasting of heavy metal contamination in Mediterranean riverine sediments: a case study of the Tangier-Tetouan region, Morocco.},
author = {El Hir S and El Macouti NEH and Maanan M and Lagrat I and Ait Errouhi A.},
year = {2026},
journal = {Environ Monit Assess},
doi = {10.1007/s10661-026-15913-x},
url = {https://doi.org/10.1007/s10661-026-15913-x}
}RIS
TY - JOUR TI - Spatiotemporal dynamics and machine learning forecasting of heavy metal contamination in Mediterranean riverine sediments: a case study of the Tangier-Tetouan region, Morocco. AU - El Hir S AU - El Macouti NEH AU - Maanan M AU - Lagrat I AU - Ait Errouhi A. PY - 2026 JO - Environ Monit Assess DO - 10.1007/s10661-026-15913-x UR - https://doi.org/10.1007/s10661-026-15913-x ER -
APA
S, E. H., NEH, E. M., M, M., I, L., & A., A. E. (2026). Spatiotemporal dynamics and machine learning forecasting of heavy metal contamination in Mediterranean riverine sediments: a case study of the Tangier-Tetouan region, Morocco.. Environ Monit Assess. https://doi.org/10.1007/s10661-026-15913-x
Source records
- europe-pmc · retrieved 2026-09-25T11:34:21.043Z