详细信息
台风对海洋叶绿素a浓度影响的定量遥感初探 被引量:15
Quantitative study of effects of the sea chlorophyll-a concentration by typhoon based on remote-sensing
文献类型:期刊文献
中文题名:台风对海洋叶绿素a浓度影响的定量遥感初探
英文题名:Quantitative study of effects of the sea chlorophyll-a concentration by typhoon based on remote-sensing
作者:付东洋[1,2,3];潘德炉[3];丁又专[3];邹巨洪[3]
机构:[1]中国科学院南海海洋研究所,广东广州510301;[2]广东海洋大学信息学院,广东湛江524088;[3]国家海洋局第二海洋研究所卫星海洋环境动力学国家重点实验室,浙江杭州310012
年份:2009
卷号:31
期号:3
起止页码:46
中文期刊名:海洋学报
收录:CSTPCD、、Scopus、CSCD2011_2012、北大核心2008、北大核心、CSCD
基金:国家自然科学基金(40730843)
语种:中文
中文关键词:海洋遥感;西北太平洋海域;叶绿素a浓度;台风影响因子;线性回归
外文关键词:oean remote sensing; northwest Pacific Ocean; chlorophyll-a concentration;typhoon effect fac- tor; linear regression
中文摘要:研究台风对海洋水色环境的影响,是目前海洋遥感技术又一应用领域。由于台风期间天气恶劣,遥感资料较少,国际上主要针对个别典型台风,研究其对海表温度、海洋叶绿素a浓度及初级生产力的影响,很少通过遥感资料系统地对这一影响进行定量分析和建模。自2000到2007年,过境中国近海以及西北太平洋海域台风近百次,作者通过系统地分析这期间MODIS,SeaWiFS的3A级叶绿素a浓度数据,结果发现:(1)台风促进了相应海域叶绿素a浓度的大幅增长,总体上平均增长约1.426倍,个别区域在5倍以上,同时,该增长一般延后3~6 d,在7~10 d后恢复到原来的水平 (2)进一步对这些数据进行一元统计线性回归,发现叶绿素a浓度增长比(Rchl-a)与台风影响因子(Tw)满足如下关系:Rchl-a=0.0012Tw+1.017,其相关系数达0.8 (3)台风期间叶绿素a浓度与无台风时叶绿素a浓度之间有很强的线性关系,其关系满足:Cchl-a=1.2367C0chl-a+0.0636,且相关系数高达0.98。这一初步研究结果对进一步通过遥感手段深入研究台风对海洋水色环境的影响有借鉴意义。
外文摘要:The study of effect to the ocean color environment caused by typhoon is another application of satellite ocean remote sensing. There are less remote sensing data in the period of hurricanes, so many scholars in the world mainly study some special typhoons~ effects on the sea surface temperature(SST), chlorophyll-a (chl-a) and the primary product and there are fewer people to carry through quantitative a- nalysis and modeling to the effects by remote sensing data. From 2000 to 2007, there were nearly 100 times typhoons passing through China sea area and the northwest Pacific Ocean. By analysing the level "3A" da- ta of chlorophyll-a of the MODIS and SeaWiFS, the authos get some conclusions as follows, first, the chlorophyll-a concentration in the correlative area has increased , it averagely rises to about 1. 426 times than the usual, even over 5 times in several areas. This growing up lagged about 3~6 d and it came back to the normal value after 7-10 d. Second, by using statistic linear regression to the rate of chl-a concentra- tion increment (Rcht-,) and typhoon-effect-factor (Tw), the authors get an equation as follows:Rchla =0. 001 2Tw+l. 017 and the correlation coefficient is 0. 8. Thirdly, the concentration (Cobra) of ehl-a with typhoon and without typhoon has a strong linear relation, which meets such equation as Cchla = 1. 236 7Cochl-a +0. 063 6, and the correlation coefficient is up to 0.98. It is helpful to deeply understand the effects of the ocean color environment by the typhoon using remote sensing.
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