Pukyong National University Students Win Consecutive 'Best Award' at Ministry of Oceans and Fisheries Thesis Contest

Dr. Student Park Seong-sik in Department of Ocean Engineering

Dr. Seongsik Park, a doctoral student in the Department of Ocean Engineering at Pukyong National University (President Sanghoon Bae), received the grand prize in both the '2024 Marine Environment Monitoring Network Data Utilization Paper Contest' and the '4th Marine Science Big Data Competition.'

Dr. Park was awarded the grand prize by the Minister of Oceans and Fisheries for his paper titled "Changes in Sewer Systems and the Resulting Increase in COD Concentration in Environmental Management Areas" (Advisor: Professor Kyunghoe Kim) at the 2024 Marine Environment Monitoring Network Data Utilization Paper Contest recently hosted by the Ministry of Oceans and Fisheries.

In this paper, he revealed research findings that the COD (Chemical Oxygen Demand) concentration in environmental management areas, which had been on a declining trend, has recently shown an increasing trend for unknown reasons. The study estimates that the cause is an increase in road runoff inflow due to the classification of sewer systems.

Additionally, he proposed the necessary reduction amounts of indicators related to road runoff to reduce coastal COD concentrations, providing foundational data for establishing future COD concentration reduction measures.

Furthermore, he received the grand prize for the research titled "Analysis and Prediction of Sea Surface Cooling by Typhoons in the Northwest Pacific" (Advisor: Professor Kyunghoe Kim), conducted together with students Dogyun Hwang and Yeji Seo, at the 4th Marine Science Big Data Competition recently hosted by the Korea Institute of Marine Science and Technology Promotion and the Korean Society of Oceanography.

In this study, he analyzed sea surface cooling according to typhoon, weather, and ocean conditions and revealed results evaluating under which conditions strong sea surface cooling occurs, earning recognition for excellent performance. According to the research results, the Gaussian Process Regression model trained using typhoon, weather, and ocean data as predictive variables showed the highest accuracy with the highest coefficient of determination for predicting sea surface cooling.

Sung-sik Park, PhD candidate, Department of Ocean Engineering, Pukyong National University.

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