用陆地卫星数据描绘渤海湾海河口区不同污染等级

Okamoto (1969)指出，多变量的主成分具有变差最优性、信息损失最小性、相关最忧性和回归最优性等最优性质，因此多变量的主成分分析被广泛应用于自然科学和社会科学多种领域。由于主成分可以看作所研究的某个复杂事物的一个概括(肯德尔，1975),并可根据主成分所提供的数据，按数值大小排列顺序分级，因此主成分分析也被遥感界应用于区分不同水质(Klemas et al, 1981)。 本文以渤海湾西北部海河、永定新河河口区的陆地卫星数据作主成分分析，以显示河口区海水不同污染等级。同时以河口区各站位实测的多项有机污染数据作主成分变换，按主成分数值大小，将各站位分为不同污染等级。计算表明，遥感数据显示的不同污染等级的地理分布与实测数据是一致的。

DESCRIBING DIFFERENT POLLUTED GRADATION OF THE SEA WATER IN THE ESTUARY AREA OF THE HAIHE RIVER IN THE BOHAI BAY WITH LANDSAT DATA

Principal component analysis of Landsat data obtained over the estuary area of the Haihe River-Yongdingxin River in the northwest of the Bohai Bay shows the different pollution gradations of the sea water. Principal component transformation of the organic pollution data measured in situ was also performed. The values of the first principal component were divided into three regions to show the different pollution gradations at these experimental sites. The results of the investigation show that the geographical distribution of the different pollution gradations obtained from remotely sensed data agrees with that from sea-truth measured data.