Abstract: By using the support vector machine technology, the impacts of meteorological conditions on the biochemical component contents (e.g., tea polyphenol, amino acid, caffeine and total catechins) of the spring tea Longjing 43 were analyzed. The results showed that the support vector machine was useful and efficient for analyzing the relationships between meteorological factors and the tea biochemical components. The order of correlation coefficients for the tea biochemical components with the meteorological factors was not exactly in accordance with the order of the meteorological factors based on their sensitivities to the selected meteorological factors. The impacts of meteorological factors on the tea biochemical components could be classified into sensitive and insensitive sections. The biochemical components significantly changed in the sensitive section, but did not vary in the insensitive section.

Key words: Taihu Lake basin., landscape ecological risk, CLUE-S model, shift of gravity center