A Digital Twin modelling framework for the assessment of seagrass Nature Based Solutions against storm surges.
- DOI
- 10.1016/j.scitotenv.2022.157603
- Published
- 2022 Nov 15
- Container
- The Science of the total environment
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.scitotenv.2022.157603,
title = {A Digital Twin modelling framework for the assessment of seagrass Nature Based Solutions against storm surges.},
author = {Pillai UPA and Pinardi N and Alessandri J and Federico I and Causio S and Unguendoli S and Valentini A and Staneva J},
year = {2022},
journal = {The Science of the total environment},
doi = {10.1016/j.scitotenv.2022.157603},
url = {https://doi.org/10.1016/j.scitotenv.2022.157603}
}RIS
TY - JOUR TI - A Digital Twin modelling framework for the assessment of seagrass Nature Based Solutions against storm surges. AU - Pillai UPA AU - Pinardi N AU - Alessandri J AU - Federico I AU - Causio S AU - Unguendoli S AU - Valentini A AU - Staneva J PY - 2022 JO - The Science of the total environment DO - 10.1016/j.scitotenv.2022.157603 UR - https://doi.org/10.1016/j.scitotenv.2022.157603 ER -
APA
UPA, P., N, P., J, A., I, F., S, C., S, U., A, V., & J, S. (2022). A Digital Twin modelling framework for the assessment of seagrass Nature Based Solutions against storm surges.. The Science of the total environment. https://doi.org/10.1016/j.scitotenv.2022.157603
Source records
- pubmed · retrieved 2026-09-26T08:44:54.946Z