Research of Data Destruction System in Marine Environmental Monitoring Buoy

To solve the problem how to prevent the marine environment monitoring feature data from leaking when an emergency occurs, a destruction of data used in marine environment monitoring buoy system is researched. The architecture design of the system is introduced; a data overwrite algorithm based on the data secret level of the marine work is proposed; through data overwrite technology and the high-pressure circuit to achieve the safe destruction of data elements in marine environmental monitoring. The study shows the data destruction system can trigger data destruction procedures in real time, it can solve data security issues for marine environmental monitoring buoy in the out of control situation, and the destroyed data is unrecoverable, thus preventing data loss and leakage.

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The Data Self-Destruction Technology Research Used in Marine Environmental Monitoring Buoy System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.336-338.2195 ◽

2013 ◽

Vol 336-338 ◽

pp. 2195-2198

Author(s):

Guo Liang Zou ◽

Jing Jing Ma

Keyword(s):

Environmental Monitoring ◽

Environmental Factor ◽

Data Security ◽

The Self ◽

Technology Research ◽

Current Development ◽

Destruction Mechanism ◽

Factor Data ◽

Marine Environmental ◽

Monitoring Buoy

Faced up with the fact that the buoy used in marine environmental monitoring did not install the self-destruction mechanism, and combined with the current development of the data destruction technology, data self-destruction technology for buoy was researched. The study shows that when the buoy system is out of control, it can select the two different data self-destruction methods by analyze different degree of threat which buoy system suffered. So it can destruct the marine environmental factor data in a fast and effective way, and make the data be unrecovered, thereby prevent data leaks, ensure data security.

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Compressed Sensing of 3D Marine Environment Monitoring Data Based on Spatiotemporal Correlation

IEEE Access ◽

10.1109/access.2021.3060472 ◽

2021 ◽

Vol 9 ◽

pp. 32634-32649

Author(s):

Ge Liu ◽

Guosheng Rui ◽

Wenbiao Tian ◽

Liyao Wu ◽

Tiantian Cui ◽

...

Keyword(s):

Compressed Sensing ◽

Marine Environment ◽

Monitoring Data ◽

Environment Monitoring ◽

Spatiotemporal Correlation ◽

Marine Environment Monitoring

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Implementation of Marine Environment Monitoring Data Quality Control System

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.926-930.4254 ◽

2014 ◽

Vol 926-930 ◽

pp. 4254-4257 ◽

Cited By ~ 2

Author(s):

Jin Xu ◽

Da Tao Yu ◽

Zhong Jie Yuan ◽

Bo Li ◽

Zi Zhou Xu

Keyword(s):

Quality Control ◽

Control System ◽

Data Quality ◽

Marine Environment ◽

Quality Control System ◽

Monitoring Data ◽

Environment Monitoring ◽

Data Quality Control ◽

Labor Costs ◽

Marine Environment Monitoring

Traditional artificial perception quality control methods of marine environment monitoring data have many disadvantages, including high labor costs and mistakes of data review. Based on GIS spatial analysis technology, Marine Environment Monitoring Data Quality Control System is established according to the Bohai Sea monitoring regulation. In the practical application process, it plays the role of improving efficiency of quality control, saving the manpower and financial resources. It also provides an important guarantee for the comprehensive analysis and management of marine environment data.

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Implementation and validation of a new operational wave forecasting system of the Mediterranean Monitoring and Forecasting Centre in the framework of the Copernicus Marine Environment Monitoring Service

Natural Hazards and Earth System Science ◽

10.5194/nhess-18-2675-2018 ◽

2018 ◽

Vol 18 (10) ◽

pp. 2675-2695 ◽

Cited By ~ 7

Author(s):

Michalis Ravdas ◽

Anna Zacharioudaki ◽

Gerasimos Korres

Keyword(s):

Mediterranean Sea ◽

Marine Environment ◽

Model Performance ◽

Environment Monitoring ◽

Marine Research ◽

Forecasting System ◽

The Mediterranean ◽

Marine Environment Monitoring ◽

Monitoring Service ◽

Wave Forecasting

Abstract. Within the framework of the Copernicus Marine Environment Monitoring Service (CMEMS), an operational wave forecasting system for the Mediterranean Sea has been implemented by the Hellenic Centre for Marine Research (HCMR) and evaluated through a series of preoperational tests and subsequently for 1 full year of simulations (2014). The system is based on the WAM model and it has been developed as a nested sequence of two computational grids to ensure that occasional remote swell propagating from the North Atlantic correctly enters the Mediterranean Sea through the Strait of Gibraltar. The Mediterranean model has a grid spacing of 1∕24∘. It is driven with 6-hourly analysis and 5-day forecast 10 m ECMWF winds. It accounts for shoaling and refraction due to bathymetry and surface currents, which are provided in offline mode by CMEMS. Extensive statistics on the system performance have been calculated by comparing model results with in situ and satellite observations. Overall, the significant wave height is accurately simulated by the model while less accurate but reasonably good results are obtained for the mean wave period. In both cases, the model performs optimally at offshore wave buoy locations and well-exposed Mediterranean subregions. Within enclosed basins and near the coast, unresolved topography by the wind and wave models and fetch limitations cause the wave model performance to deteriorate. Model performance is better in winter when the wave conditions are well defined. On the whole, the new forecast system provides reliable forecasts. Future improvements include data assimilation and higher-resolution wind forcing.

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