青岛近海表皮温度和表层温度之差的观测及模糊数学分析  

OBSERVATION AND FUZZY MATHEMATICS ANALYSIS OF THE SKIN-BULK TEMPERATURE DIFFERENCE IN THE COASTAL AREA OF QINGDAO

作　　者：杜勇[1] 吕红民[1] 董申甫 凌铁军 

机构地区：[1]青岛海洋大学海洋学系,青岛266003

出　　处：《海洋与湖沼》1999年第1期81-87,共7页Oceanologia Et Limnologia Sinica

基　　金：国家"八五"攻关课题!85-903-08-01

摘　　要：1993．11．23．9：00－11．28.9：00随“东方红”号海洋考察船，采用“走航式海面遥感参数自动观测系统”在青岛近海进行了5个昼夜的连续观测。根据所得资料，首先对表皮水温和表层水温之差与各因子之间的关系进行了分析，然后利用模糊数学方法对所获数据进行了计算。结果表明，海洋表皮水温与表层水温之差（δT）和海面风速、气温与水温之差及太阳辐射等均有明显关系。但此关系难以用传统数学方法准确表述。应用模糊推理方法对δT值的预测取得了良好的结果，δT主要预测值的正确率达80％以上。Nov. 23-28, 1993 the continuous observation was made by using the underway seasurface remote sensing elements auto-collect system. The observation elements include sea skintemperature (infrared radiant, depth < 0.1mm), sea surface temperature (depth > lm), wind speed, airtemperature, time etc. Analysis of the observational data showed obvious cormlation between theskin bulk temperature difttrence (6T) and the wind speed, therefore, the wind speed is the mainelement affecting the variation of the 5T value. Considering the complexity of the variation ofthe 6T valuc, it is almost impossible that the relation between the 6T and the other relevantelements is descnbed accurately via a simple mathematics formulation. The fuzzy analysis of therelation between the skin bulk temperature difference and the wind speed, the seaair temperaturedifference and time is made by using the fuzzy reasoning method with the observation data. it isshown that the fuzzy reasoning method is suitable for analyzing the complex relation between theskinbulk difference and the other elements. The correct predichon of the 6T is over 8O%. It isbelieved the accuracy will be improved further with the accumulation of observation data, and it willcontribute to the improvement of the retrieval accuracy of the sea suritice temperature from satellite.

关 键 词：表皮水温 表层水温 模糊数学 海水 青岛近海 

分 类 号：P731.11[天文地球—海洋科学]