摘要
湛江海域是广东省海上风电发展的重点规划区域,数值模拟是为规模化海上风电场建设提供波浪设计参数的重要手段。本文以欧洲气象中心数据为输入风场,结合C-MAP和实测地形得到计算水深,基于MIKE21-SW建立了湛江海域的波浪数学模型,模拟海域2010~2020年的逐时波浪过程。基于实测数据对模型进行了验证,波高的相关系数为0.94;统计了研究海域多年波浪要素特征,得到有效波高分布地图;分析了波浪的季节变化、年际变化趋势及地形对波浪的影响。波高同时受风和地形影响,2010~2020年间的年平均波高无明显变化,冬季波高最大、夏季最小。本文可为当前项目及后续广东海区继续发展海上风电提供借鉴。
Zhanjiang sea area is a key plan area for the development of offshore wind power in Guangdong Province.And it is important to provide wave design parameters for the scale construction of offshore wind farms based on numerical simulation.By taking the data from the European Meteorological Center as the input wind field,and obtaining the calculated water depth in combination with C-MAP and measured terrain,the wave mathematical model of Zhanjiang sea area was established upon MIKE21-SW model in this study.The hourly wave process in the sea area from 2010 to 2020 was simulated.The model was validated based on measured data,and the correlation coefficient of wave height was 0.94.The characteristics of wave parameters at the study area were statistically analyzed,and the distribution of significant wave heights was obtained.The seasonal and inter-annual variations of wave were analyzed,as well as the impact of terrain on wave.The wave height was influenced by both wind and topographic change,and there was no significant trend in the annual average wave height during 2010-2020.However,the wave height was the highest in winter and the lowest in summer.The results could provide scientific reference for the present and future development of offshore wind farm in Guangdong coastal area.
作者
李健华
黄亚珏
LI Jianhua;HUANG Yajue(China Energy Engineering Group Guangdong Electric Power Design Institute Co.,Ltd.,Guangzhou 510663;Guangdong Kenuo Surveying Engineering Co.,Ltd.,Guangzhou 510663;Pearl River Water Resources Commission of the Ministry of Water Resources,Guangzhou 510610)
出处
《广东造船》
2023年第5期17-21,共5页
Guangdong shipbuilding
基金
广东省级促进经济高质量发展海洋专项(GDNRC[2021]41)。
关键词
波浪特征
数值模拟
海上风电场
地形变化
wave characteristics
numerical simulation
offshore wind farm
topographic change