Development and Research of B/S and C/S Based Marine Environment Monitoring Information System

2010 ◽  
Author(s):  
Duyi Jiang ◽  
Shikui Zhai ◽  
Xiuli Jiang ◽  
Huaijing Zhang
Keyword(s):  
Information System ◽  
Marine Environment ◽  
Environment Monitoring ◽  
Marine Environment Monitoring ◽  
Monitoring Information

scholarly journals Purwarupa Dukungan Data Arus Laut Operasional Bersumber Dari Copernicus Marine Environment Monitoring Service (Cmems) Dalam Format Aml Iwc Arus Laut untuk TNI AL

2019 ◽  
Vol 5 (1) ◽  
pp. 1-16
Author(s):  
Dodik Armansyah ◽  
N. Budi Sukoco ◽  
D Adrianto ◽  
L Dewantono ◽  
Widodo S. Pranowo
Keyword(s):  
Information System ◽  
Water Column ◽  
Marine Environment ◽  
Environment Monitoring ◽  
Electronic Chart ◽  
Marine Environment Monitoring ◽  
Monitoring Service

Arus laut merupakan perpindahan massa air laut mendatar yang disebabkan oleh beberapa jenis gaya penggerak antara lain stres angin, gradien tekanan, gelombang laut dan pasang surut. Informasi tentang arus laut diperlukan untuk mendukung keselamatan bernavigasi dan operasi angkatan laut lainnya. Pushidrosal sebagai lembaga hidrografi nasional telah menyediakan produk prediksi arus pasang surut pada beberapa pelabuhan terpilih yang diterbitkan secara tahunan. Data arus laut yang disebabkan oleh selain pasang surut belum menjadi informasi yang diproduksi secara berkesinambungan dan belum didistribusikan sebagai data dukungan baik untuk operasional kapal sipil maupun militer. TNI AL telah menggunakan teknologi Warship Electronic Chart Display and Information System (WECDIS) terkini di dua kapal selam terbarunya pada tahun 2016 dan 2017. Salah satu kemampuan WECDIS tersebut adalah mampu menampilkan Additional Miitary Layer (AML) dinamis Integrated Water Column (IWC) komponen arus laut. Untuk memperoleh data arus laut yang mencakup seluruh wilayah Indonesia dapat digunakan dengan metode pengamatan langsung, pengamatan satelit atau pemodelan. Data pengamatan langsung dan pengamatan satelit memerlukan anggaran pengadaan dan operasional alat yang besar dan memerlukan perencanaan yang cukup lama, sedangkan pemodelan dapat dilaksanakan dengan biaya relatif murah. Sumber data arus non pasang surut di wilayah Indonesia, yang memiliki dimensi kedalaman, dapat diambil dari pemodelan global Copernicus Marine Environment Monitoring Service (CMEMS). Data arus laut pemodelan global CMEMS memiliki resolusi horisontal yang cukup tinggi dengan resolusi temporal sampai dengan per jam. Pemodelan tersebut juga di-update setiap hari yang menghasilkan prediksi sepuluh hari ke depan. Hasil pemodelan CMEMS dapat diunduh secara gratis dengan melaksanakan registrasi terlebih dahulu. Data pemodelan CMEMS dapat diunduh secara berkala untuk dijadikan sebagai sumber data AML IWC komponen arus laut. Selanjutnya AML IWC dapat didistribusikan secara periodik, semisal mingguan, untuk digunakan sebagai informasi pendukung yang ditampilkan di dalam WECDIS.

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

IEEE Access ◽  
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

Implementation of Marine Environment Monitoring Data Quality Control System

2014 ◽  
Vol 926-930 ◽  
pp. 4254-4257 ◽  
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.

scholarly journals 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

2018 ◽  
Vol 18 (10) ◽  
pp. 2675-2695 ◽  
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.

scholarly journals Designing innovative services for marine environment monitoring using earth-observation tools in the frame of the pre-commercial procurement project MARINE-EO

2018 ◽  
Author(s):  
Ioanna Varkitzi ◽  
Anestis Trypitsidis ◽  
Alkis Astyakopoulos ◽  
Constantinos Rizogiannis ◽  
Beatriz Gómez Miguel ◽  
...  
Keyword(s):  
Marine Environment ◽  
Earth Observation ◽  
Environment Monitoring ◽  
Observation Tools ◽  
Marine Environment Monitoring

A Study of the Marine Environment Monitoring Technology

2020 ◽  
Vol 107 (sp1) ◽  
pp. 189
Author(s):  
Ruihan Cheng ◽  
Shasha Wang ◽  
Lin Sun ◽  
Yuan Gao
Keyword(s):  
Marine Environment ◽  
Environment Monitoring ◽  
Monitoring Technology ◽  
Marine Environment Monitoring
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