Investigate how physical, biological, and socioeconomic factors combine to determine which coastlines face the greatest risk from sea level rise — and what that risk looks like in real communities.
Not all coastlines face the same risk from sea level rise. A rocky cliff in Maine behaves very differently from a barrier island in North Carolina — even if global sea level rises by the same amount. Coastal vulnerability is determined by a combination of physical, geological, and biological factors that either amplify or buffer the impact of rising seas.
The six CVI variables are:
The CVI formula multiplies all six ranked variables (each scored 1–5) and takes the square root: CVI = √(V1 × V2 × V3 × V4 × V5 × V6) ÷ 6
Final scores range from very low (1–8) to very high (>31).
Click a location to load its vulnerability profile. You will investigate all 8 locations across the lab — start with whichever interests you.
Use the slider to simulate sea level rise scenarios from 0 to 6 feet above current mean high water. Watch how different community features become flooded at each increment.
After investigating at least 4 locations, use this table to record your CVI scores for comparison. This is where the big patterns emerge.
| Location | CVI Score | Risk Level | Highest-Risk Factor | 1-ft flood impact |
|---|---|---|---|---|
| Select locations above to populate this table | ||||