Abstract: Tea quality is closely related to climate. Thus, it is significant to evaluate tea quality according to climate. Based on daily meteorological data observed at basic weather stations and automatic weather stations in Zhejiang Province in 2013, field measurement of tea quality indices and actual tea production, three meteorological indices affecting tea quality were proposed in this paper. And then an evaluation model of tea climate quality was established with the exponential weighted algorithm. The results showed that tea climate quality presented a singlepeak variation trend during growing season in 2013. The index of tea climate quality changed smoothly in spring, from 2.2 to 2.8 (level 1) in March and April and decreased from May. The minimum was found in summer (from July to middle August) with the value from 0 to 0.4 (level 4). After late August, the index increased gradually. The index in autumn was from 0.8 to 1.6 (levels 2 and 3). The spatial variation of tea climate quality was significant in 2013. Except for mountain areas, the index of spring tea was from 2.2 to 3.0 (level 1) across the province. The index of summer tea was from 0 to 0.8 (levels 3 and 4), and that of autumn tea was from 0.6 to 1.8 (levels 2 and 3). The spatial pattern and temporal change of tea climate quality evaluation results were consistent with that of tea production quality. The quality of spring tea (level 1) was better than autumn tea (levels 2 and 3), while the summer tea was the worst (level 4). The research results could provide scientific support for optimization of featured agriculture production.

Key words: carbon capture and storage, carbon sink, material flow analysis, lime, missing carbon sink