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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Environmental Sources Marine & Wildlife Sign in to save

Path Prediction and Suggestion of Efficient Collection Points for Marine Plastic Debris Based on Betweenness Centrality Analysis

Journal of Korean Society of Environmental Engineers 2015 6 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Yeon Seon Jeon, Min Ji Hong, Moo Kyu Park, Yong-Sang Choi

Summary

Korean researchers used ocean current simulations to model the trajectories of marine plastic debris entering the East Sea and Yellow Sea, then applied network analysis to identify optimal collection points — proposing a data-driven approach to prioritizing cleanup efforts in Korean waters.

Study Type Environmental

Korea severely suffers from plastic-induced ocean pollution, but only few studies predicted the trajectory of marine plastic debris and provided their collection method. This study used Ocean Surface CURrent Simulator (OSCURS) of National Oceanic and Atmospheric Administration (NOAA) in order to predict the trajectories of marine plastic debris flowing into the East Sea and Yellow Sea for each season during 2004 to 2013. Results suggest that efficient collection hubs through the high betweenness centrality index. Most hubs were located in the seashores regardless of season, suggesting the seashore of Uljin for the East Sea and the seashore between Saemangeum and Shinan for the Yellow Sea as the most efficient hubs.

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