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Original research — experimental, observational, or case-control study. Direct primary evidence.
Policy & Risk
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Policy impact on microplastic reduction in China: Observation and prediction using statistical model in an intensive mariculture bay
The Science of The Total Environment2022
14 citations
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Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Score: 35
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0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Chunhui Wang,
Yan Lin,
Chunhui Wang,
Chunhui Wang,
Minggang Cai
Chunhui Wang,
Mengyang Liu,
Kazi Belayet Hossain,
Mengyang Liu,
Mengyang Liu,
Wenlu Zhao,
Mingyu Zhang,
Chunhui Wang,
Minggang Cai
Kazi Belayet Hossain,
Chunhui Wang,
Yan Lin,
Chunhui Wang,
Chunhui Wang,
Chunhui Wang,
Chunhui Wang,
Yan Lin,
Yan Lin,
Yan Lin,
Yan Lin,
Kazi Belayet Hossain,
Kazi Belayet Hossain,
Kazi Belayet Hossain,
Kazi Belayet Hossain,
Kai Chen,
Mengyang Liu,
Mengyang Liu,
Mengyang Liu,
Mengyang Liu,
Mengyang Liu,
Mengyang Liu,
Mengyang Liu,
Kai Chen,
Kazi Belayet Hossain,
Wenlu Zhao,
Minggang Cai
Chunhui Wang,
Mengyang Liu,
Mengyang Liu,
Minggang Cai
Mengyang Liu,
Kazi Belayet Hossain,
Chunhui Wang,
Chunhui Wang,
Kazi Belayet Hossain,
Kazi Belayet Hossain,
Kazi Belayet Hossain,
Kazi Belayet Hossain,
Yan Lin,
Mengyang Liu,
Minggang Cai
Kazi Belayet Hossain,
Kazi Belayet Hossain,
Minggang Cai
Minggang Cai
Mengyang Liu,
Mengyang Liu,
Kai Chen,
Mingyu Zhang,
Mingyu Zhang,
Mingyu Zhang,
Fengjiao Liu,
Mengyang Liu,
Mingyu Zhang,
Minggang Cai
Yan Lin,
Fengjiao Liu,
Minggang Cai
Kai Chen,
Mengyang Liu,
Kai Chen,
Kai Chen,
Kai Chen,
Mengyang Liu,
Yan Lin,
Fengjiao Liu,
Chunhui Wang,
Hongwei Ke,
Kai Chen,
Minggang Cai
Kazi Belayet Hossain,
Minggang Cai
Chunhui Wang,
Hongwei Ke,
Minggang Cai
Hongwei Ke,
Yan Lin,
Kai Chen,
Wenlu Zhao,
Wenlu Zhao,
Wenlu Zhao,
Minggang Cai
Wenlu Zhao,
Minggang Cai
Hongwei Ke,
Hongwei Ke,
Wenlu Zhao,
Hongwei Ke,
Fengjiao Liu,
Mengyang Liu,
Minggang Cai
Wenlu Zhao,
Chunhui Wang,
Hongwei Ke,
Hongwei Ke,
Minggang Cai
Yan Lin,
Yan Lin,
Minggang Cai
Minggang Cai
Minggang Cai
Mengyang Liu,
Yan Lin,
Chunhui Wang,
Chunhui Wang,
Yan Lin,
Hongwei Ke,
Hongwei Ke,
Hongwei Ke,
Hongwei Ke,
Kai Chen,
Kai Chen,
Fengjiao Liu,
Fengjiao Liu,
Minggang Cai
Hongwei Ke,
Mengyang Liu,
Chunhui Wang,
Minggang Cai
Minggang Cai
Chunhui Wang,
Fengjiao Liu,
Fengjiao Liu,
Minggang Cai
Chunhui Wang,
Chunhui Wang,
Yan Lin,
Hongwei Ke,
Chunhui Wang,
Mengyang Liu,
Hongwei Ke,
Wenlu Zhao,
Wenlu Zhao,
Minggang Cai
Minggang Cai
Minggang Cai
Minggang Cai
Minggang Cai
Minggang Cai
Fengjiao Liu,
Minggang Cai
Yan Lin,
Mingyu Zhang,
Hongwei Ke,
Wenlu Zhao,
Chunhui Wang,
Minggang Cai
Minggang Cai
Minggang Cai
Minggang Cai
Chunhui Wang,
Fengjiao Liu,
Fengjiao Liu,
Minggang Cai
Chunhui Wang,
Minggang Cai
Minggang Cai
Summary
Researchers applied decision tree classification and Bayesian Structural Time Series modelling to 26 surface sediment samples and a sediment core from Sansha Bay, China, finding that policy interventions may reduce microplastic abundance in this intensive mariculture area while also predicting near-future microplastic trends.
Study Type
Environmental
Plastic pollution in the environment has spurred debate among scientists, policymakers, and the general public over how industrialization and consumerism are wreaking havoc on our ecosystem, but some policies might assist to ameliorate the problem in the near future. In this study, the decision tree classifier and Bayesian Structural Time Series (BSTS) model was used to anticipate the possible sources of microplastics and their near future state in 26 surface sediment and a sediment core, respectively in Sansha Bay, which has been criticized for its intensive mariculture applications. An inventory of microplastics in the sediment core was estimated, and it was discovered that during the previous six decades, an average of 181.95 tons of microplastics were deposited, with an average deposition (by a layer of sediment) of 179.44 tons/cm. According to the DT classifier, mariculture was the primary source of microplastics, whereas urban and industrial areas were the primary sources of POPs. The Bayesian Structural Time Series (BSTS) model revealed a microplastic downward slope, indicating that regional and national strategies implemented might successfully reduce microplastic pollution regionally.