Spatiotemporal Patterns of Aquatic Product Risks in China

This study investigated the risk classification and spatiotemporal evolution patterns of risk substances in Chinese aquatic products. The entropy weight TOPSIS method was utilized to achieve ranking of risk substances and classify their risk levels. Spatial autocorrelation analysis were conducted to explore the spatial distribution patterns of the highest-risk and higher-risk substances in Chinese aquatic products. Risk adjustment factors were employed to perform dynamic analysis of risks in aquatic products across different temporal and spatial contexts. Research findings indicated that the top three risk substances in aquatic products were cadmium, enrofloxacin, and total volatile basic nitrogen. Cadmium, enrofloxacin, furazolidone metabolites, and chloramphenicol exhibited a significant global spatial autocorrelation.Spatiotemporal analysis found that risks in aquatic products were higher during summer and autumn. It is recommended that regulatory measures and plans be adjusted in light of the findings, thus providing a scientific foundation for the safety supervision of aquatic products.