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Sea surface temperature (SST) is an important parameter to measure the energy and heat balance of sea surface. The change of sea surface temperature has an important impact on the marine ecosystem, marine climate and marine environment. Therefore, sea surface temperature prediction has become an significant research direction in the field of ocean. This article proposes a DBULSTM-Adaboost model based on ensemble learning. The model is composed of Deep Bidirectional and Unidirectional Long Short Term Memory (DBULSTM) and Adaboost strong learner. DBULSTM can capture the forward and backward dependence of time series, and the DBULSTM model is integrated with Adaboost strong learner to reduce the variance and bias of prediction and realize the short and medium term prediction of SST at a single point scale. Experimental results show that the model can improve the accuracy and stability of SST prediction. Experiments on the East China Sea and South China Sea with different prediction lengths show that the model is almost superior to other classical models in different sea areas and at different prediction levels. Compared with full-connected LSTM (FC-LSTM) model, the root-mean-square error is reduced by about 0.1.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575873 | PMC |
http://dx.doi.org/10.7717/peerj-cs.1095 | DOI Listing |
J Environ Manage
December 2024
Institute of Hydro-Engineering, Polish Academy of Sciences, Poland. Electronic address:
Sea surface displacement (SSD) is a crucial parameter in environmental engineering. The measurements of SSD are susceptible to the failure of instruments and equipment, data losses, and other unpredictable events. In this study, we developed an innovative nonlinear regression trees (NRT) technique to retrieve the missing data of SSD.
View Article and Find Full Text PDFJ Acoust Soc Am
December 2024
Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN, Delft, The Netherlands.
Investigation of sound pressure waveforms helps the selection of appropriate metrics to evaluate their effects on marine life in relation to noise thresholds. As marine animals move farther away from a sound source, the temporal characteristics of sound pressure may be influenced by interactions with the sediment and the sea surface. Sound pressure kurtosis and root-mean-square (rms) sound pressure are quantitative characteristics that depend on the shape of a sound pulse, with kurtosis related to the qualitative characteristic "impulsiveness.
View Article and Find Full Text PDFMar Pollut Bull
December 2024
Institute of Geography, Pomeranian University in Słupsk, 22a Arciszewskiego Str., 76-200 Słupsk, Poland.
Microplastics in seawater and fish from the Baltic Sea were analyzed. The significant contribution of the study is due to extensive collection of fish and surface water samples from corresponding fishing zones. Microplastics were detected in 100 % of seawater and 61 % of fish samples.
View Article and Find Full Text PDFSci Total Environ
December 2024
Leibniz University Hannover, Ludwig Franzius Institute of Hydraulic, Estuarine and Coastal Engineering, Nienburger Str. 4, Hannover 30167, Germany.
Seagrass meadows are one of the most productive ecosystems of the world. Seagrass enhances biodiversity, sequesters CO and functions as a coastal protection measure by mitigating waves and enhancing sedimentation. However, populations are declining in many regions and natural recolonization of bare sediment beds is protracted and unlikely.
View Article and Find Full Text PDFSci Total Environ
December 2024
Department of Natural Resources, Isfahan University of Technology, Isfahan, Iran.
Marine Heatwaves (MHWs) are prolonged episodes of above- 'normal' Sea Surface Temperature (SST) which have imposed detrimental impacts on oceans and their dependent ecosystem services. The key question still remained unresolved or at least still not fully addressed in MHW science, is 'What is a valid normal or baseline?'. In other words, can the conventional 'normal' serve as a realistic valid baseline in today's oceans experiencing the impacts of contemporaneous climatic changes and global warming during anthropogenic era? To robustly address this issue, we attempted to propose a methodology for identifying MHW thresholds that accounts for SST warming.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!