摘要
应用安徽省茶种植区45个气象站点1981−2017年气象资料和1998−2017年茶叶产量资料,选取霜冻害发生综合频率、坡向敏感性指数、茶园面积和灾年减产率变异系数4个因子,利用加权指数求和法构建了茶树霜冻害风险指数,借助ANUSPLIN插值模型和地理信息系统开展了安徽省茶树霜冻害风险评估。结果表明:安徽省茶树春霜冻害高风险、中风险和低风险区域面积为118×10^(4)hm^(2)、337×10^(4)hm^(2)和353×10^(4)hm^(2)分别占评价区域总面积的14.6%、41.7%和43.7%。高风险区主要分布在大别山茶区的金寨县、霍山县、岳西县、潜山县等和江南茶区南部海拔600m以上的高山区域,零星分布在江北茶区北坡地带。中风险区多分布在大别山茶区和江南茶区海拔低于600m的山区,呈斑块状分布在江北茶区的丘陵和低山区。低风险区集中分布在芜湖−宣城−铜陵−池州沿江一带,零星分布在江南茶区的低山区。构建的风险指数总体能客观反映安徽省茶树霜冻害风险水平,可为茶树霜冻害风险管理提供依据。
In order to reduce the spring frost damage to tea plant in Anhui province,based on the daily meteorological observation data from1981 to 2017 of 45 stations,as well as garden area and tea production of 45 counties in tea plantation district from 1998 to 2017,the spring frost risk index was built by weighted index sum method.The index included comprehensive frequency of spring frost,sensitivity index of slope aspect,tea area and variation coefficient of yield reduction.The spring frost risk zoning was analyzed using the ANUSPLIN and geographic information system.The results showed that the areas of high-risk region,medium-risk region and low-risk region were118×10^(4)ha,337×10^(4)ha,353×10^(4)ha,and take 14.6%,41.7%,43.7%of the gross area of tea plantation district respectively in Anhui province.The high-risk region was mainly distributed in Jinzhai county,Huoshan county,Yuexi county,Qianshan county in Dabieshan tea area and the mountain areas with altitude above 600m in Jiangnan tea area,and scattered in the windward slope regions in Jiangbei tea area.The medium-risk region was mainly distributed in mountain areas with altitude below 600m in Dabieshan tea area and Jiangnan tea area,as well as hilly and low mountains in Jiangbei tea area.The low-risk region was mainly concentrated in the region along the Yangtze river,and scattered in low mountain areas in Jiangnan tea area.The spring frost risk index constructed in this paper can objectively reflect the risk level of spring frost damage to tea plant.This study provides a scientific foundation for tea disaster prevention and disaster management.
作者
刘瑞娜
陈金华
陈曦
曹雯
LIU Rui-na;CHEN Jin-hua;CHEN Xi;CAO Wen(Anhui Agricultural Meteorological Center/Anhui Engineering Laboratory of Agro-Ecological Big Data,Hefei 230031,China)
出处
《中国农业气象》
CSCD
北大核心
2021年第10期870-878,共9页
Chinese Journal of Agrometeorology
基金
2020年国内外作物产量气象预报专项
科技助力经济2020重点专项(KJZLJJ202002)。
关键词
霜冻害
风险指数
风险评估
减产率
茶叶
Frost disaster
Risk index
Risk assessment
Yield reduction
Tea
