Zhejiang Provincial Climate Center

Hangzhou, China

Zhejiang Provincial Climate Center

Hangzhou, China

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Lou W.,Zhejiang University of Science and Technology | Sun S.,Nanjing University of Information Science and Technology | Wu L.,Zhejiang Provincial Climate Center | Sun K.,Zhejiang University of Science and Technology
International Journal of Biometeorology | Year: 2015

Based on phenological and economic output models established and meteorological data from 1972 to 2013, changes in the phenology, frost risk, and economic output of the Longjing-43 tea tree in the Yuezhou Longjing tea production area of China were evaluated. As the local climate has changed, the beginning dates of tea bud and leaf plucking of this cultivar in all five counties studied has advanced significantly by −1.28 to −0.88 days/decade, with no significant change in the risk of frost. The main tea-producing stages in the tea production cycle include the plucking periods for superfine, grade 1, and grade 2 buds and leaves. Among the five bud and leaf grades, the economic output of the plucking periods for superfine and grade 1 decreased significantly, that for grade 2 showed no significant change, and those for grades 3 and 4 increased significantly. The economic output of large-area tea plantations employing an average of 45 workers per hectare and producing superfine to grade 2 buds and leaves were significantly reduced by 6,745–8,829 yuan/decade/ha, depending on the county. Those tea farmers who planted tea trees on their own small land holdings and produced superfine to grade 4 tea buds and leaves themselves experienced no significant decline in economic output. © 2014, ISB.


Lou W.,Xinchang Weather Bureau | Lou W.,CMA Technologies, Inc. | Wu L.,Zhejiang Provincial Climate Center | Chen H.,Zhejiang Provincial Meteorological Observatory | And 2 more authors.
Natural Hazards | Year: 2012

This study adopts a loss assessment and indemnity approach for rice crops at risk of flooding in Yuhang County, Zhejiang Province. Employing a hydrological model for simulating floods and a reduction model for predicting rice yield, the relationship between the rate of reduction in the rice yield and precipitation is discussed. We argue that the yield reduction rate can be assessed according to the amount of precipitation and designed a weather-based indemnity index for agricultural insurance purposes in Zhejiang Province. With geographic information system technology, the yield reduction rate and weather-based indemnity index were refined and found to effectively reduce the shortcomings of traditional agricultural insurance, i. e., moral hazard, large error in assessing disaster loss and high basis risk. The validity of the method was verified by the amount of rice lost due to No. 16 typhoon Krosa in 2007, and the results show that the proposed method can well simulate the reduction rate of rice yield according to precipitation data. © 2011 Springer Science+Business Media B.V.

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