Intelligent sediment–groundwater digital twin: A systematic review, meta-analysis, and reference architecture for reliable metal pollution risk assessment
- DOI
- 10.1016/j.scitotenv.2026.181953
- Published
- 2026-09
- Container
- Science of The Total Environment
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.scitotenv.2026.181953,
title = {Intelligent sediment–groundwater digital twin: A systematic review, meta-analysis, and reference architecture for reliable metal pollution risk assessment},
author = {Saeid Pourmorad and Michele Morsilli and Luigi Lombardo and Fulvio Celico and Luca Antonio Dimuccio},
year = {2026},
journal = {Science of The Total Environment},
doi = {10.1016/j.scitotenv.2026.181953},
url = {https://doi.org/10.1016/j.scitotenv.2026.181953}
}RIS
TY - JOUR TI - Intelligent sediment–groundwater digital twin: A systematic review, meta-analysis, and reference architecture for reliable metal pollution risk assessment AU - Saeid Pourmorad AU - Michele Morsilli AU - Luigi Lombardo AU - Fulvio Celico AU - Luca Antonio Dimuccio PY - 2026 JO - Science of The Total Environment DO - 10.1016/j.scitotenv.2026.181953 UR - https://doi.org/10.1016/j.scitotenv.2026.181953 ER -
APA
Pourmorad, S., Morsilli, M., Lombardo, L., Celico, F., & Dimuccio, L. A. (2026). Intelligent sediment–groundwater digital twin: A systematic review, meta-analysis, and reference architecture for reliable metal pollution risk assessment. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2026.181953
Source records
- crossref · retrieved 2026-09-25T22:45:24.029Z