COASTAL FLOODING DUE TO EPISODIC SEA LEVEL ELEVATION AND IMPACT ASSESSMENT OF INUNDATED URBAN AREAS IN MIAMI (SOUTH FLORIDA, USA)

The variability of nearshore Sea Level Elevation (SLE) is a key indicator of global-scale climatic changes with significant impacts on low-lying coastal areas. As such, South Florida (USA) is one of the most vulnerable regions worldwide to episodic coastal inundation due to extreme sea levels caused by tropical storms and hurricanes. Specifically, the natural and urban coastal environment in and around Miami (FL) is a hotspot for climate-related adverse effects (Kourafalou et al., 2024). Severe storm surge has impacted the study region’s low- land littoral areas in the past by inundating coastal floodplains and exposed urban settings. Especially when storm surge coincides with high tides (storm tides) enhanced further by the recent mean Sea Level Rise (SLR), it can cause land loss, coastal erosion, damages on onshore infrastructure and properties, human casualties, degradation of coastal ecosystems, etc. In this paper, we present recent developments of a numerical modelling system for coastal inundation (Makris et al., 2023a) induced by extreme SLE due to storm surge, intensified by high astronomical tides and SLR that was set up for the Mediterranean Sea’s coasts (Androulidakis et al., 2023a); it is hereby expanded to fit the needs for our investigation in the Miami study area.

Authors

Publication Details

Journal
Coastal Engineering Proceedings
Published
2025-05-29
DOI
https://doi.org/10.9753/icce.v38.management.143
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

COASTAL FLOODING DUE TO EPISODIC SEA LEVEL ELEVATION AND IMPACT ASSESSMENT OF INUNDATED URBAN AREAS IN MIAMI (SOUTH FLORIDA, USA)

Zisis Mallios, Vassiliki H. Kourafalou, Christos Makris, Yannis Androulidakis
Coastal Engineering Proceedings
Flood Risk Assessment and Management
article

COASTAL FLOODING DUE TO EPISODIC SEA LEVEL ELEVATION AND IMPACT ASSESSMENT OF INUNDATED URBAN AREAS IN MIAMI (SOUTH FLORIDA, USA)

Zisis Mallios, Vassiliki H. Kourafalou, Christos Makris, Yannis Androulidakis
article en

Abstract

The variability of nearshore Sea Level Elevation (SLE) is a key indicator of global-scale climatic changes with significant impacts on low-lying coastal areas. As such, South Florida (USA) is one of the most vulnerable regions worldwide to episodic coastal inundation due to extreme sea levels caused by tropical storms and hurricanes. Specifically, the natural and urban coastal environment in and around Miami (FL) is a hotspot for climate-related adverse effects (Kourafalou et al., 2024). Severe storm surge has impacted the study region’s low- land littoral areas in the past by inundating coastal floodplains and exposed urban settings. Especially when storm surge coincides with high tides (storm tides) enhanced further by the recent mean Sea Level Rise (SLR), it can cause land loss, coastal erosion, damages on onshore infrastructure and properties, human casualties, degradation of coastal ecosystems, etc. In this paper, we present recent developments of a numerical modelling system for coastal inundation (Makris et al., 2023a) induced by extreme SLE due to storm surge, intensified by high astronomical tides and SLR that was set up for the Mediterranean Sea’s coasts (Androulidakis et al., 2023a); it is hereby expanded to fit the needs for our investigation in the Miami study area.

Coastal Engineering Proceedings(38)
Openalex Percentile: Top 65%
Flood Risk Assessment and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.