致灾气象因子对崂山茶叶产量年景的影响

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英文篇名：Effect of Disaster-causing Meteorological Factors on Year's Harvest of Laoshan Tea Yield 作者：刘春涛 ; 丁做尉 英文作者：LIU Chun-tao;Laoshan District Meteorological Bureau of Qingdao; 关键词：崂山茶 ; 年景分析 ; 气象因子 ; 二元logistic回归 英文关键词：Laoshan tea;;Year's harvest analysis;;Meteorological factors;;Binary logistic regression 中文刊名：NZYJ 英文刊名：Journal of Agricultural Catastrophology 机构：青岛市崂山区气象局;青岛市气象局; 出版日期：2019-03-15 出版单位：农业灾害研究 年：2019 期：v.9 基金：青岛市气象局、青岛市气象灾害防御工程技术研究中心(2015qdqxd04) 语种：中文; 页：NZYJ201902036 页数：2 CN：02 ISSN：36-1317/S 分类号：90-91

摘要

为了确定崂山茶叶致灾的农业气象指标,把崂山茶叶多年产量资料分为"歉年"与"非歉年"2种年景,利用SPSS22.0统计分析系统,首先选取影响显著的气象因子,再进行二元logistic回归分析确定主要影响因子。结果表明,冬季日最低气温连续2 d低于-10℃是崂山茶叶遭受冻害的主要农业气象指标,低温冻害是崂山茶叶减产和品质下降的主要气象灾害。
        In order to determine the agrometeorological indicators of tea disasters in Laoshan Mountain, the multi-year yield data of Laoshan tea were divided into apologetic year and non-apologetic year. Using SPSS22.0 statistical analysis system, the meteorological factors with significant impacts were selected first,and then the main influencing factors were determined by binary logistic regression analysis. The results showed that the main agrometeorological index of Laoshan tea freezing injury was that the daily minimum temperature was lower than-10℃ for two consecutive days in winter, and low temperature freezing injury was the main meteorological disaster of Laoshan tea yield reduction and quality decline.

引文

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