• Login
  • Register
  • Search

Stay Onbig-data Collaborative Management system with

Zheng Wang, Jian Li, Qi Zang

Abstract


I According to the current marine environment Emergency Management system is weakness capability of collection Storage, analysis, early warning information in Big-data and single marine emergency department is weakness of handle Emergency event of marine environment, the collaborative management system with Big-data is built, combine the strong cha Racteristics of the data collection and analysis ability with BIG-DATA can effectively enhance the emergency handling Ciency, can provide effective support to handle emergencies event in marine.


Keywords


marine Environment; Emergency; Big-data; Management system

Full Text:

PDF

Included Database


References


SOA . China Marine Environmental Quality Bulletin [Eb/ol] . 2014-) 7~22.http ! / /www. Soa. gov CN/ZWGK/HYGB/ZGHYHJZLGB/.

ALEXANDER D E. Confronting catastrophe:new Perspectives on natural disasters [M]. Oxford : Oxford University Press 1244.

Ferraris D P. The role of coordination and the ability of interaction among civil protection operators into international experiences, In the case of tunnel accident and flood risk J. Pre-emergencies, preparedness, Management, communication and Lesson learnt in emergencies. Ananke editions, Torino (Italy), 2007,27: 11-56.

Young O. Arctic tipping points:governance in turbulent

Times A . ambio,2012,41 (1) :75-84.

Wang qi, Wang Xuezhi. . Analysis of China's marine environmental Emergency Management Government coordination mechanism - with 2008 annual Hu Tai Event as an example J]. Marine Environment Science , (2) : 268^71.

Wei Kang, Zhang Jianhui. . Analysis and management countermeasures of the National Sea area usage J ]. Capital source Science ,2013, 2 : 405411.

marta-almeida m, ruiz-villarreal m, PEREIRA J, et

al. Efficient tools for marine operational forecast and oil spill tracking [J]. Marine Pollution Bulletin, 2013, (1/2): 139451.

FERNANDES R N, Valavanis V D. A gis-^ased tool for storage, selection and visualization of the time series 4D Marine Datasets J. hydrobiologia,2008,612 (1): 297-300.

vugteveen P, VAN Katwijk m, Rouwette E, et al.

How to structure and prioritize information needs in support of the monitoring design for integrated coastal Management J. Journal Sea research,2014, 86:23-33.

Huang Dongmei, Chako , Wang jian , etc . based on a~gps , Strange Tide "" people are leaving the " " Implementation of the swing decision system [J]. Marine Environment Science , 2013 (4) : 581-584.

Jiu Pengfei, Geo Weina , Tau , etc . Cloud Computing and marine environment monitoring J ]. Sea Ocean Environment Science , 2013,(4) : 576-580.

LYNCH C. Big Data ! How do your data grow? J]. Nature, 2008,455 (7209) :28^9.

GANTZ J, Reinsel D. Extracting value from Chaos J]. IDC IView, 2011,1442:142.

Huang , Zhonghui new . Building an enterprise competitive intelligence system model based on large data . Intelligence Magazine , 2013,32 (3): 3743.

Mengxiao , kindly . Large Data management : Concept , Technology and challenges [J]. Computer Research and development , 2013,(1) : 146469.

Feng Zhiyan, Guo Xun China, Former armies , etc . Research on business management in the context of large data if Dry Frontier Topics J. Journal of Management Science , 2013, 1 : 1-8.




DOI: http://dx.doi.org/10.18686/me.v2i1.1228

Refbacks