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Advances in Meteorology
Volume 2017 (2017), Article ID 1372578, 9 pages
https://doi.org/10.1155/2017/1372578
Research Article

Assessment of Wave Energy in the South China Sea Based on GIS Technology

1State Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian 116085, China
2No. 92538 Army of People’s Liberation Army, Dalian 116041, China
3College of Meteorology and Oceanography, People’s Liberation Army University of Science and Technology, Nanjing 211101, China
4Dalian Naval Academy, Dalian 116018, China

Correspondence should be addressed to Gang Lin

Received 19 September 2016; Revised 1 January 2017; Accepted 24 January 2017; Published 20 February 2017

Academic Editor: Annalisa Cherchi

Copyright © 2017 Gang Lin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.