@misc{pillai_a_digital_2022, 
author={Pillai, U.,Pinardi, N.,Alessandri, J.,Federico, I.,Causio, S.,Unguendoli, S.,Valentini, A.,Staneva, J.},
title={A Digital Twin modelling framework for the assessment of seagrass Nature Based Solutions against storm surges},
year={2022},
howpublished = {journal article},
doi = {https://doi.org/10.1016/j.scitotenv.2022.157603},
abstract = {In this paper we demonstrate a novel framework for assessing nature-based solutions (NBSs) in coastal zones using a new suite of numerical models that provide a virtual “replica” of the natural environment. We design experiments that use a Digital Twin strategy to establish the wave, sea level and current attenuation due to seagrass NBSs.,This Digital Twin modelling framework allows us to answer “what if” scenario questions such as: (i) are indigenous seagrass meadows able to reduce the energy of storm surges, and if so how? (ii) what are the best seagrass types and their landscaping for optimal wave and current attenuation? An important result of the study is to show that the landscaping of seagrasses is an important design choice and that seagrass does not directly attenuate the sea level but the current amplitudes. This framework reveals the link between seagrass NBS and the components of the disruptive potential of storm surges (waves and sea level) and opens up new avenues for future studies.},
note = {Online available at: \url{https://doi.org/10.1016/j.scitotenv.2022.157603} (DOI). Pillai, U.; Pinardi, N.; Alessandri, J.; Federico, I.; Causio, S.; Unguendoli, S.; Valentini, A.; Staneva, J.: A Digital Twin modelling framework for the assessment of seagrass Nature Based Solutions against storm surges. Science of the Total Environment. 2022. vol. 847, 157603. DOI: 10.1016/j.scitotenv.2022.157603}}