Microplastics (MPs) are widely distributed as a global pollutant, with dynamic patterns driven by horizontal diffusion and vertical mixing in marine ecosystems across different hydrological seasons and regions. This study employed MATLAB for image processing and interactive operations to extract data from existing studies on the Chinese Marginal Seas conducted from 2016 to 2022, focusing on the distribution, sources, and transport processes of MPs. The results revealed that the Bohai Sea exhibited the highest pollution levels during both the rainy (9328.30 particles/m) and dry (8665.80 particles/m) seasons. The Yangtze River Estuary, the Pearl River Estuary, and the Bohai Bay are three hotspot regions that may significantly contribute to the enrichment of MPs in surrounding seas. The distance-similarity decay relationship indicated stronger correlations in the South China Sea and Bohai Sea during the rainy season, and in the East China Sea during the dry season. Derived from the analysis using the Positive Matrix Factorization model, it was found that, apart from the South China Sea where PE and PAN proportions were higher, PE and PP dominated the MP composition. Highly polluting and difficult-to-degrade industrial manufacturing and plastic packaging were identified as the primary sources, while the Bohai Sea and Yellow Sea posed higher transport risks, may serve as sources of pollution to the surrounding regions.
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http://dx.doi.org/10.1016/j.marpolbul.2025.117807 | DOI Listing |
Mar Pollut Bull
March 2025
Department of Environmental Engineering, Hanseo University, Seosan City 356-706, Republic of Korea.
Microplastics (MPs) are widely distributed as a global pollutant, with dynamic patterns driven by horizontal diffusion and vertical mixing in marine ecosystems across different hydrological seasons and regions. This study employed MATLAB for image processing and interactive operations to extract data from existing studies on the Chinese Marginal Seas conducted from 2016 to 2022, focusing on the distribution, sources, and transport processes of MPs. The results revealed that the Bohai Sea exhibited the highest pollution levels during both the rainy (9328.
View Article and Find Full Text PDFMar Pollut Bull
March 2025
Laoshan Laboratory, Qingdao 266237, China; College of Ocean Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China. Electronic address:
The combined impact of multiple human activities is the primary driver of coastal ecosystem degradation, and comprehending its mechanisms is essential for developing adaptive management strategies. A coastal ecosystem model coupling multiple human activities, including runoff discharge, reclamation, mariculture, and atmospheric deposition, was developed using the Regional Ocean Modeling System (ROMS) coupled with the Carbon, Silicate, and Nitrogen Ecosystem (CoSiNE) model. The model performance was rigorously evaluated in the Bohai Sea as the study area.
View Article and Find Full Text PDFMar Biotechnol (NY)
March 2025
Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao Marine Science and Technology Center, Qingdao, 266237, Shandong, China.
Mar Environ Res
March 2025
Frontiers Science Center for Deep Ocean Multispheres and Earth System, Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao, 266100, China; Laoshan Laboratory, Qingdao, 266237, China; College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao, China.
Coastal regions, as hotspots for non-methane hydrocarbons (NMHCs) emissions, warrant more consideration for their vital impacts on marine climate regulation. This study examined the spatiotemporal distributions, emissions, and environmental effects of NMHCs in the Bohai Sea (BS) and Yellow Sea (YS) during summer and winter. The NMHC concentrations show clear spatial and seasonal variability, with higher levels observed in summer.
View Article and Find Full Text PDFEnviron Pollut
March 2025
Frontier Science Center for Deep Ocean Multispheres and Earth System (FDOMES), Physical Oceanography Laboratory, Ocean University of China, Qingdao, 266100, China; College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, 266100, China.
As maritime transportation experiences continuous development, the escalating potential risk of oil spills necessitates thorough and detailed risk assessments. Realizing the inherent contingency and unpredictability of oil spill incidents, this study employs a 3D oil spill model combining with long-term hydro-meteorological data to evaluate the oil pollution risk (OPR) along the coastlines of the Eastern China Seas. Through simulations spanning four seasons over 21 years (2001-2021), diverse scenarios are captured.
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