An inversion model of microplastics abundance based on satellite remote sensing: a case study in the Bohai Sea

doi:10.1016/j.scitotenv.2023.168537

	An inversion model of microplastics abundance based on satellite remote sensing: a case study in the Bohai Sea
	Hong, Pingping 1; Xiao, Jingen 1; Liu, Hongtao 1; Niu, Zhiguang 1; Ma, Yini 2; Wang, Qing3 ; Zhang, Dianjun 1; Ma, Yongzheng 1,4
发表期刊	SCIENCE OF THE TOTAL ENVIRONMENT
ISSN	0048-9697
	2024-01-20
卷号	909 页码:11
关键词	Microplastics Remote sensing Inversion model Abundance Bohai Sea
DOI	10.1016/j.scitotenv.2023.168537
通讯作者	Zhang, Dianjun([email protected]) ; Ma, Yongzheng([email protected])
英文摘要	Nowadays, microplastics (MPs) as emerging contaminants have posed great risks to marine ecosystems and human health. However, non-continuous field sampling data makes it difficult to meet the needs of scientific research and pollution control of marine MPs. Consequently, the development of rapid monitoring techniques for marine MPs to achieve efficient acquisition of data is increasingly essential. Remote sensing technology provides a convenient and effective tool for monitoring and mapping marine MPs pollution. Therefore, we established an inversion model based on multiple regression by combining the remote sensing data and the measured data to predict the MPs pollution status in the Bohai Sea. The feature variables of a model are crucial to the prediction, and we proposed three methods of variable selection, namely successive projections algorithm (SPA), band combination method, and remote sensing index method. By comparing accuracy evaluation metrics, an approach based on SPA was selected to analyze the abundance and spatio-temporal distribution of MPs in the Bohai Sea in 2022. The determination coefficient of the SPA model is 0.75, and the root mean square error is 0.38 items/m3. The error of the model is within an acceptable range. It was found that the MPs abundance on the sea surface of the Bohai Sea varied significantly in different seasons and regions. This study indicates that satellite remote sensing technology has great potential in monitoring marine MPs.
资助机构	National Natural Science Foundation of China ; Seed Foundation of Tianjin University ; Foundation of Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument
收录类别	SCI
语种	英语
关键词[WOS]	WATER INDEX NDWI ; PLASTIC LITTER ; REFLECTANCE ; FEATURES
研究领域[WOS]	Environmental Sciences & Ecology
WOS记录号	WOS:001121335000001
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.yic.ac.cn/handle/133337/36591
专题	海岸带生物学与生物资源利用重点实验室支撑部门_中国科学院牟平海岸带环境综合试验站海岸带生物学与生物资源利用重点实验室_海岸带生物资源高效利用研究与发展中心
通讯作者	Zhang, Dianjun; Ma, Yongzheng
作者单位	1.Tianjin Univ, Sch Marine Sci & Technol, Tianjin Key Lab Marine Environm Res & Serv, Tianjin 300072, Peoples R China 2.Hainan Univ, Coll Ecol & Environm, Haikou 570228, Peoples R China 3.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Res & Dev Ctr Efficient Utilizat Coastal Bioresour, Yantai 264003, Peoples R China 4.Sun Yat Sen Univ, Guangdong Prov Key Lab Sensor Technol & Biomed Ins, Guangzhou 510006, Peoples R China
推荐引用方式 GB/T 7714	Hong, Pingping,Xiao, Jingen,Liu, Hongtao,et al. An inversion model of microplastics abundance based on satellite remote sensing: a case study in the Bohai Sea[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2024,909:11.
APA	Hong, Pingping.,Xiao, Jingen.,Liu, Hongtao.,Niu, Zhiguang.,Ma, Yini.,...&Ma, Yongzheng.(2024).An inversion model of microplastics abundance based on satellite remote sensing: a case study in the Bohai Sea.SCIENCE OF THE TOTAL ENVIRONMENT,909,11.
MLA	Hong, Pingping,et al."An inversion model of microplastics abundance based on satellite remote sensing: a case study in the Bohai Sea".SCIENCE OF THE TOTAL ENVIRONMENT 909(2024):11.