Flood characterization based on forensic analysis of bridge collapse using UAV reconnaissance and CFD simulations
- DOI
- 10.1016/j.scitotenv.2022.153661
- Published
- 2022-05
- 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.2022.153661,
title = {Flood characterization based on forensic analysis of bridge collapse using UAV reconnaissance and CFD simulations},
author = {Marianna Loli and Stergios Aristoteles Mitoulis and Angelos Tsatsis and John Manousakis and Rallis Kourkoulis and Dimitrios Zekkos},
year = {2022},
journal = {Science of The Total Environment},
doi = {10.1016/j.scitotenv.2022.153661},
url = {https://doi.org/10.1016/j.scitotenv.2022.153661}
}RIS
TY - JOUR TI - Flood characterization based on forensic analysis of bridge collapse using UAV reconnaissance and CFD simulations AU - Marianna Loli AU - Stergios Aristoteles Mitoulis AU - Angelos Tsatsis AU - John Manousakis AU - Rallis Kourkoulis AU - Dimitrios Zekkos PY - 2022 JO - Science of The Total Environment DO - 10.1016/j.scitotenv.2022.153661 UR - https://doi.org/10.1016/j.scitotenv.2022.153661 ER -
APA
Loli, M., Mitoulis, S. A., Tsatsis, A., Manousakis, J., Kourkoulis, R., & Zekkos, D. (2022). Flood characterization based on forensic analysis of bridge collapse using UAV reconnaissance and CFD simulations. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2022.153661
Source records
- crossref · retrieved 2026-09-25T16:16:47.545Z