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

CORC > 烟台海岸带研究所 > 中国科学院烟台海岸带研究所 > 海岸带生物学与生物资源利用重点实验室

	An inversion model of microplastics abundance based on satellite remote sensing: a case study in the Bohai Sea
	Hong, Pingping 2; Xiao, Jingen 2; Liu, Hongtao 2; Niu, Zhiguang 2; Ma, Yini 3; Wang, Qing 4; Zhang, Dianjun 2; Ma, Yongzheng 1,2
刊名	SCIENCE OF THE TOTAL ENVIRONMENT
	2024-01-20
卷号	909 页码:11
关键词	Microplastics Remote sensing Inversion model Abundance Bohai Sea
ISSN号	0048-9697
DOI	10.1016/j.scitotenv.2023.168537
通讯作者	Zhang, Dianjun(zhangdianjun123@163.com) ; Ma, Yongzheng(yongzheng.ma@tju.edu.cn)
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.
WOS关键词	WATER INDEX NDWI ; PLASTIC LITTER ; REFLECTANCE ; FEATURES
WOS研究方向	Environmental Sciences & Ecology
语种	英语
WOS记录号	WOS:001121335000001
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
内容类型	期刊论文
源URL	[http://ir.yic.ac.cn/handle/133337/33177]
专题	海岸带生物学与生物资源利用重点实验室
通讯作者	Zhang, Dianjun; Ma, Yongzheng
作者单位	1.Sun Yat Sen Univ, Guangdong Prov Key Lab Sensor Technol & Biomed Ins, Guangzhou 510006, Peoples R China 2.Tianjin Univ, Sch Marine Sci & Technol, Tianjin Key Lab Marine Environm Res & Serv, Tianjin 300072, Peoples R China 3.Hainan Univ, Coll Ecol & Environm, Haikou 570228, Peoples R China 4.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Res & Dev Ctr Efficient Utilizat Coastal Bioresour, Yantai 264003, 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.