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Assessment of Wave Energy in the South China Sea Based on GIS Technology
Joint Authors
Zheng, Chong Wei
Lin, Gang
Shao, Long Tan
Chen, Xiao Bin
Zeng, Li Feng
Liu, Zhi Hong
Li, Rong Bo
Shi, Wei Lai
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-20
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
China is now the world’s largest user of coal and also has the highest greenhouse gas emissions associated with the mining and use of coal.
Under today’s enormous pressures of the growing shortage of conventional energy sources and the need for emission reductions, the search for clean energy is the most effective strategy to address the energy crisis and global warming.
This study utilized satellite remote sensing technology, geographic information system (GIS) technology, and simulated wave data for the South China Sea.
The characteristic features of the wave energy were obtained by analysis through the wave resource assessment formula and the results were stored in a GIS database.
Software for the evaluation of wave energy in the South China Sea was written.
The results should provide accurate, efficient references for wave energy researchers and decision-makers.
Based on a 24-year WW3 model simulation wave data and GIS technology, this study presented the characteristic of the wave energy in the SCS; results demonstrated that the SCS has the feasibility and viability for wave energy farming.
American Psychological Association (APA)
Lin, Gang& Shao, Long Tan& Zheng, Chong Wei& Chen, Xiao Bin& Zeng, Li Feng& Liu, Zhi Hong…[et al.]. 2017. Assessment of Wave Energy in the South China Sea Based on GIS Technology. Advances in Meteorology،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1122506
Modern Language Association (MLA)
Lin, Gang…[et al.]. Assessment of Wave Energy in the South China Sea Based on GIS Technology. Advances in Meteorology No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1122506
American Medical Association (AMA)
Lin, Gang& Shao, Long Tan& Zheng, Chong Wei& Chen, Xiao Bin& Zeng, Li Feng& Liu, Zhi Hong…[et al.]. Assessment of Wave Energy in the South China Sea Based on GIS Technology. Advances in Meteorology. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1122506
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1122506