Annual Journal of Civil Engineering in the Ocean Vol.38
STUDY OF DETERMINING RISK LEVEL REGARDING SWIMMING CONDITION ON BATHING BEACH USING AI
2022 Volume 78 Issue 2 Pages I_757-I_762
Details
2022 Volume 78 Issue 2 Pages I_757-I_762
In Japan, 2,000 to 3,000 drowning accidents occur every season at major bathing beaches. To prevent drowning accidents, beachgoers themselves need to be aware of the dangers of the ocean and avoid them. As a way to do this, bathing beaches provide daily risk levels regarding swimming conditions to beachgoers using beach safety flags in three colors. However, the risk levels are determined subjectively and empirically by lifesavers and beach administrators based on weather and sea conditions, and the characteristics of past drowning accidents are not taken into account. In this study, we examined an objective method of determining the risk levels based on the probability of drowning accidents. As a result, the AI model that can predict the probability of drowning accidents with high accuracy was constructed, and it was suggested that this method can appropriately determine the risk levels and prevent drowning accidents.
