泉州沿海海水表层温度分析  

Analysis of sea surface temperature at Quanzhou coastal area

作　　者：杨凡[1] 郑崇荣[1] 陈竞武 刘保清 姚睿 李光毅 YANG Fan;ZHENG Chong-rong;CHEN Jing-wu;LIU Bao-qing;YAO Rui;LI Guang-yi(State Oceanic Administration Chongwu Marine Environmental Monitoring Station,Quanzhou 362000 China)

机构地区：[1]国家海洋局崇武海洋环境监测站,福建泉州362000

出　　处：《海洋预报》2018年第4期75-81,共7页Marine Forecasts

基　　金：海洋赤潮灾害立体监测技术与应用国家海洋局重点实验室基金(MATHAB201802)

摘　　要：根据泉州沿海的崇武验潮站和晋江验潮站的海水表层温度资料,统计分析泉州沿海的SST。结果表明:泉州沿海SST月平均的年变化都呈单峰型。两月SST之间的变化,与本月SST和上月气温之差有很大关系。泉州沿海2—9月为增温期,其中4—5月的增温速率最快,在9月达到高峰;9月—翌年2月为降温期,其中11—12月的降温速率最快。经过最大熵谱分析分析得出,泉州沿海SST同时存在多种形式的周期振荡,而且南北两站的周期振荡也存在着一定的差异。两站的年平均SST变化趋势基本一致,极值SST出现时间基本相同。Sea surface temperature （SST） at Quanzhou coastal waters was statistically analyzed based on the relevant data collected by Chongwu tide station and Jinjiang tide station. The results showed that monthly averaged SST in Quanzhou coastal waters presented a single-peak pattern. The variations between the two conjoint months were closely related to the difference between the SST at this month and the air temperature at the last month. The SST increases from February to September, with a fastest increasing rate at April and May and the highest value at September. The SST decreases Octorber to the following February, with a fastest cooling rate at November and December. The maximum entropy spectrum analysis showed that there exists simultaneously various forms of periodic oscillations of SST and there were some differences in the periodic oscillations between the two stations. The variation trends of annual average SST at the two station were basically the same with their extreme SST almost appearing at the same time.

关 键 词：泉州验潮站 海水表层温度 最大熵谱分析 变化趋势 

分 类 号：P731.11[天文地球—海洋科学]