Assessment of Wave Energy in the South China Sea Based on GIS Technology
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...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2017/1372578 |
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| author | Gang Lin Long Tan Shao Chong Wei Zheng Xiao Bin Chen Li Feng Zeng Zhi Hong Liu Rong Bo Li Wei Lai Shi |
| author_facet | Gang Lin Long Tan Shao Chong Wei Zheng Xiao Bin Chen Li Feng Zeng Zhi Hong Liu Rong Bo Li Wei Lai Shi |
| author_sort | Gang Lin |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-3f4cac3f8fbf4569aa93164e44fd6a4a |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-3f4cac3f8fbf4569aa93164e44fd6a4a2025-08-20T03:35:54ZengWileyAdvances in Meteorology1687-93091687-93172017-01-01201710.1155/2017/13725781372578Assessment of Wave Energy in the South China Sea Based on GIS TechnologyGang Lin0Long Tan Shao1Chong Wei Zheng2Xiao Bin Chen3Li Feng Zeng4Zhi Hong Liu5Rong Bo Li6Wei Lai Shi7State Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian 116085, ChinaState Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian 116085, ChinaNo. 92538 Army of People’s Liberation Army, Dalian 116041, ChinaNo. 92538 Army of People’s Liberation Army, Dalian 116041, ChinaState Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian 116085, ChinaNo. 92538 Army of People’s Liberation Army, Dalian 116041, ChinaNo. 92538 Army of People’s Liberation Army, Dalian 116041, ChinaCollege of Meteorology and Oceanography, People’s Liberation Army University of Science and Technology, Nanjing 211101, ChinaChina 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.http://dx.doi.org/10.1155/2017/1372578 |
| spellingShingle | Gang Lin Long Tan Shao Chong Wei Zheng Xiao Bin Chen Li Feng Zeng Zhi Hong Liu Rong Bo Li Wei Lai Shi Assessment of Wave Energy in the South China Sea Based on GIS Technology Advances in Meteorology |
| title | Assessment of Wave Energy in the South China Sea Based on GIS Technology |
| title_full | Assessment of Wave Energy in the South China Sea Based on GIS Technology |
| title_fullStr | Assessment of Wave Energy in the South China Sea Based on GIS Technology |
| title_full_unstemmed | Assessment of Wave Energy in the South China Sea Based on GIS Technology |
| title_short | Assessment of Wave Energy in the South China Sea Based on GIS Technology |
| title_sort | assessment of wave energy in the south china sea based on gis technology |
| url | http://dx.doi.org/10.1155/2017/1372578 |
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