## 5 Conclusions  
This paper presents a procedure to assess the coastal flooding induced by the sea level in the Kastela study area. In its origin, it consisted of three modes: (i) the LoRaWAN-based sensor device monitoring infrastructure located at the site to capture relevant parameters in real time, (ii) a step-by-step procedure to assess the sea water elevation and (iii) Waves Seafront Monitoring cross-platform mobile application to enable the real-time insight into coastal flooding occurrence. The main conclusions obtained from the study can be summarized as:  
* The presented procedure to assess coastal flooding induced by seawater has been shown to be efficient when applied to the Kastela study area.
* The origin of the assessment for the seawater elevation relies on three basic mechanisms: tidal oscillations, barometric pressure-induced oscillations and wind-generated waves. Despite the potential limitation, no significant deflection from the sea water elevation occurred at the site during the period from 15 December 2021 to 7 February 2022 was observed.
* The presented procedure shows robustness in the potential to incorporate other relevant mechanisms influencing sea water elevation and site-specific features. It can be extended to the relevant mechanisms acting toward the sea level definition and adjusted to the local conditions reflecting the site-specific features. In case of need, additional effects can be added: (i) submerged structures overtopping, (ii) wave run-up, (iii) seiche, (iv) beach or shoreline friction effects, (v) dynamic inverse barometric effects, (vi) coastal flooding induced by the precipitation, especially during the cyclone and its superposition with the sea-induced flooding. The latter not only contributes to enhanced capacity of the coastal flooding awareness at the Kastela site, but also enables the procedure to be applied at other sites.  
**Author Contributions:** Conceptualization, Z.N., V.S. and P.S.; Data curation, V.S., I.L., T.P., P.S. and T.K.; Funding acquisition, Z.N.; Investigation, Z.N., V.S., I.L., T.P., P.S. and T.K.; Methodology, Z.N., V.S., P.S. and T.K.; Software, V.S., I.L. and T.P.; Supervision, Z.N., V.S. and P.S.; Validation, Z.N., V.S., I.L., T.P. and P.S.; Visualization, I.L. and T.K.; Writing--original draft, Z.N., V.S., I.L., T.P., P.S. and T.K. All authors have read and agreed to the published version of the manuscript.  
**Funding:** This research was funded by the EUROPEAN UNION, Programme Interreg Italy-Croatia, the project \"Preventing, managing and overcoming natural-hazards risks to mitigate economic and social impact\"--PMO-GATE ID 10046122. The research is also partially supported through project KK. 01.1.1.02.0027, co-financed by the Croatian GOVERNMENT and the EUROPEAN UNION through the European Regional Development Fund--the Competitiveness and Cohesion Operational Programme and the project \"Internet of Things: Research and Applications\", UIP-2017-05-4206, financed by the Croatian Science Foundation.  
**Institutional Review Board Statement:** Not applicable.  
**Informed Consent Statement:** Not applicable.  
**Conflicts of Interest:** The authors declare no conflict of interest.