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Prediction of Aerosol Extinction Coefficient in Coastal Areas of South China Based on Attention-BiLSTM

文献类型：期刊论文

作者Ye, Zhou1,2,3; Cui, Shengcheng2,3; Qiao, Zhi1,2,3; Zhang, Zihan2,3; Zhu, Wenyue2,3; Li, Xuebin2,3; Qian, Xianmei2,3
刊名JOURNAL OF MARINE SCIENCE AND ENGINEERING
出版日期2022-04-01
卷号10
关键词attention mechanism long short-term memory aerosol extinction coefficient prediction
DOI10.3390/jmse10040545
通讯作者Cui, Shengcheng(csc@aiofm.ac.cn)
英文摘要The aerosol extinction coefficient (AEC) characterises the attenuation of the light propagating in a turbid medium with suspended particles. Therefore, it is of great significance to carry out AEC prediction research using state-of-art neural network (NN) methods. The attention mechanism (AM) has become an indispensable part of NNs that focuses on input weight assignment. Traditional AM is used in time steps to help generate the outputs. To select important features of meteorological parameters (MP) that are helpful for forecasting, in this study, we apply AM to features instead of time steps. Then we propose a bidirectional long short-term memory (BiLSTM) NN based on AM to predict the AEC. The proposed method can remember information twice (i.e., forward and backward), which can provide more context for AEC forecasting. Finally, an in situ measured MP dataset is applied in the proposed model, which presents Maoming coastal area's atmospheric conditions in November 2020. The experimental results show that the model proposed in this paper has higher accuracy compared with traditional NN, providing a novel solution to the AEC prediction problem for the current studies of marine aerosol.
WOS关键词RECURRENT NEURAL-NETWORKS ; MARINE AEROSOL ; CLIMATE ; TRANSPORT
资助项目Foundation of Key Laboratory of Science and Technology Innovation of Chinese Academy of Sciences[CXJJ-21S028] ; Thirteenth Five-Year Equipment Pre-Research Sharing Technology Project[41416030204] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA17010104] ; Youth spark project of Hefei Institute of material sciences, Chinese Academy of Sciences[29YZJJ2020QN2]
WOS研究方向Engineering ; Oceanography
语种英语
WOS记录号WOS:000785423200001
出版者MDPI
资助机构Foundation of Key Laboratory of Science and Technology Innovation of Chinese Academy of Sciences ; Thirteenth Five-Year Equipment Pre-Research Sharing Technology Project ; Strategic Priority Research Program of Chinese Academy of Sciences ; Youth spark project of Hefei Institute of material sciences, Chinese Academy of Sciences
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/128501]  
专题中国科学院合肥物质科学研究院
通讯作者Cui, Shengcheng
作者单位1.Univ Sci & Technol China, Sci Isl Branch Grad Sch, Hefei 230026, Peoples R China
2.Adv Laser Technol Lab Anhui Prov, Hefei 230037, Peoples R China
3.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Atmospher Opt, Hefei 230031, Peoples R China
推荐引用方式
GB/T 7714		 Ye, Zhou,Cui, Shengcheng,Qiao, Zhi,et al. Prediction of Aerosol Extinction Coefficient in Coastal Areas of South China Based on Attention-BiLSTM[J]. JOURNAL OF MARINE SCIENCE AND ENGINEERING,2022,10.
APA Ye, Zhou.,Cui, Shengcheng.,Qiao, Zhi.,Zhang, Zihan.,Zhu, Wenyue.,...&Qian, Xianmei.(2022).Prediction of Aerosol Extinction Coefficient in Coastal Areas of South China Based on Attention-BiLSTM.JOURNAL OF MARINE SCIENCE AND ENGINEERING,10.
MLA Ye, Zhou,et al."Prediction of Aerosol Extinction Coefficient in Coastal Areas of South China Based on Attention-BiLSTM".JOURNAL OF MARINE SCIENCE AND ENGINEERING 10(2022).

入库方式： OAI收割

来源：合肥物质科学研究院

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