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作 者:江涤非 黎跃勇 董子舟 李好 谭诗琪 JIANG Di-fei;LI Yue-yong;DONG Zi-zhou;LI Hao;TAN Shi-qi(Hunan Meteorological Service Center,Changsha410118,China;Hunan Provincial Key Laboratory of Meteorological Disaster Prevention and Mitigation,Changsha410118,China)
机构地区:[1]湖南省气象服务中心,长沙410118 [2]气象防灾减灾湖南省重点实验室,长沙410118
出 处:《湖北农业科学》2023年第5期77-82,共6页Hubei Agricultural Sciences
基 金:湖南省气象局重点项目“保险气象灾害风险阈值等级及防灾减损应急调度技术研究”(XQKJ21A006)。
摘 要:基于2015—2019年洪江市历史气象观测资料及黔阳冰糖橙品质检测数据,采用皮尔逊相关分析和逐步回归分析法,分析了黔阳冰糖橙7项品质指标与气象因子的相关性。结果表明,影响黔阳冰糖橙可滴定酸含量的关键气象因子为壮果期日均最高气温、着色期日均最低气温;固酸比大小与果实膨大期日照时数、壮果期阴雨日数、采摘期日均最高气温、采摘期降水量相关;可溶性固形物含量与果实膨大期气温日较差、采摘期日照时数呈正相关,与果实膨大期日均最低气温、着色期阴雨日数呈负相关;维生素C含量关键影响因子为果实膨大期日均最低气温、日均最高气温、着色期阴雨日数和采摘期日照时数;影响可食率大小的关键因子为采摘期气温日较差与果实膨大期日照时数;影响出汁率的关键气象因子为采摘期日均最低气温、降水量以及壮果期日均最高气温;横径与果实膨大期日均最低气温、气温日较差、着色期阴雨日数以及采摘期日照时数相关。在相关分析基础上,构建了各项品质指标的气候品质评价模型,并利用2020年的气象观测资料和品质检测数据对模型进行了验证,相对误差范围在1.2%~16.7%,验证结果表明模型能够较好地模拟黔阳冰糖橙的气候品质状况。Based on the historical meteorological observation data of Hongjiang City from 2015 to 2019 and the quality detection data of Qianyang Bingtang orange,the correlation between seven quality indexes of Qianyang Bingtang orange and meteorological factors were analyzed by Pearson correlation analysis and stepwise regression analysis.The results showed that,the key meteorological factors affecting the titratable acid content of Qianyang Bingtang orange were the daily maximum temperature in strong fruit period and the daily minimum temperature in coloring period;the ratio of solid to acid was related to sunshine hours in fruit expansion period,cloudy and rainy days in strong fruit period,average maximum temperature in picking period and precipitation in picking period;the content of soluble solids was positively correlated with the daily temperature range during fruit expansion and sunshine hours during picking,and was negatively correlated with the daily average minimum temperature in fruit expansion period and cloudy and rainy days in coloring period;the key influencing factors of VC content were daily minimum temperature and daily maximum temperature in fruit expansion period,cloudy and rainy days in coloring period and sunshine hours in picking period;the key factors affecting the edible rate were the daily range during picking and the sunshine during fruit expansion;the key meteorological factors affecting the juice yield were the average daily minimum temperature,precipitation in the picking period and the average daily maximum temperature in the strong fruit period;the transverse diameter was related to the daily average minimum temperature and daily temperature range during fruit expansion,cloudy and rainy days during coloring and sunshine during picking.Based on the correlation analysis,the climate quality evaluation model of various quality indexes was constructed,and the model was verified by using the historical meteorological data and quality detection data in 2020.The relative error range was 1.2%~16.7%.T
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