scholarly journals Putting meaning into NETMAR – the open service network for marine environmental data

2013 ◽  
Vol 7 (10) ◽  
pp. 811-828 ◽  
Author(s):  
Adam M. Leadbetter ◽  
Roy K. Lowry ◽  
D. Oliver Clements
Keyword(s):  
Environmental Data ◽  
Service Network ◽  
Open Service ◽  
Marine Environmental

Design of Marine Data Warehouse ETL System

2014 ◽  
Vol 668-669 ◽  
pp. 1374-1377 ◽  
Author(s):  
Wei Jun Wen
Keyword(s):  
Decision Making ◽  
Data Quality ◽  
Data Warehouse ◽  
Environmental Data ◽  
Data Sources ◽  
Quality Data ◽  
Critical Step ◽  
Marine Data ◽  
Data Extracting ◽  
Marine Environmental

ETL refers to the process of data extracting, transformation and loading and is deemed as a critical step in ensuring the quality, data specification and standardization of marine environmental data. Marine data, due to their complication, field diversity and huge volume, still remain decentralized, polyphyletic and isomerous with different semantics and hence far from being able to provide effective data sources for decision making. ETL enables the construction of marine environmental data warehouse in the form of cleaning, transformation, integration, loading and periodic updating of basic marine data warehouse. The paper presents a research on rules for cleaning, transformation and integration of marine data, based on which original ETL system of marine environmental data warehouse is so designed and developed. The system further guarantees data quality and correctness in analysis and decision-making based on marine environmental data in the future.

Research on the Incremental Updating Mechanism of Marine Environmental Data Warehouse

2014 ◽  
Vol 668-669 ◽  
pp. 1378-1381 ◽  
Author(s):  
Wei Jun Wen
Keyword(s):  
Data Warehouse ◽  
Marine Environment ◽  
Historical Data ◽  
Environmental Data ◽  
Operating Efficiency ◽  
Massive Data ◽  
Complete Set ◽  
Incremental Update ◽  
Update Frequency ◽  
Marine Environmental

Marine environment data warehouse can store massive data. After the full amount of historical data has been initially loaded, the incremental update mode must be applied to ensure timely updates of data. In this paper, in view of the marine environment data warehouse’s characteristics, such as massive data amount, large number of historical data and low update frequency, a complete set of mechanisms for incremental update of marine environment data warehouse was proposed to greatly improve the operating efficiency of marine environment data warehouse.

Quality analytical panels of marine environmental data

2020 ◽  
Vol 20 (2020) ◽  
pp. 515-516
Author(s):  
Eleine Francioni de Abreu Lima ◽  
Denise de Almeida Pires Do Rosário ◽  
Paulo de Castro Villi ◽  
Georgia Moraes Catabriga Sousa
Keyword(s):  
Environmental Data ◽  
Marine Environmental

scholarly journals Machine Learning Based Dynamic Correlation on Marine Environmental Data Using Cross-Recurrence Strategy

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 185121-185130
Author(s):  
Zhigang Li ◽  
Di Cai ◽  
Jialin Wang ◽  
Yingqi Li ◽  
Guan Gui ◽  
...  
Keyword(s):  
Machine Learning ◽  
Environmental Data ◽  
Dynamic Correlation ◽  
Marine Environmental

The Method for Extraction of Marine Underwater Electromagnetic Anomalous Field

2013 ◽  
Vol 475-476 ◽  
pp. 32-37
Author(s):  
Rui Yong Yue ◽  
Yue Lei Liu ◽  
Ji Tian ◽  
Jun Jun Lu ◽  
Li Jun Jiang
Keyword(s):  
Electromagnetic Field ◽  
Prediction Model ◽  
Environmental Data ◽  
Ocean Current ◽  
Filter Method ◽  
Anomalous Field ◽  
Electromagnetic Data ◽  
Anomalous Signal ◽  
Marine Disasters ◽  
Marine Environmental

Marine underwater electromagnetic field plays an important role in the prediction of the marine disasters, such as earthquake and tsunami. A detection method for the weak marine electromagnetic anomalous signatures generated by the earthquake and tsunami is presented. In order to implement the anomalous signal detection, the ocean current meter and tidal wave meter are integrated into the marine environmental underwater electromagnetic field measurement system, and the electromagnetic field data and environmental data such as sea current and wave height can be measured synchronously. The measured environmental data should be used to construct the prediction model of marine underwater electromagnetic field induced by the sea motion. Based on the prediction model, the theoretical values of electromagnetic field induced by the sea motion are estimated. This real signature induced by the sea motion can be extracted from the measured underwater electromagnetic data by use of the coherent filter method, and the remaining anomalous signature can be used to analyze the earthquake and tsunami phenomenon.

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