中国农业气象 ›› 2022, Vol. 43 ›› Issue (10): 810-820.doi: 10.3969/j.issn.1000-6362.2022.10.004

• 农业气象灾害 栏目 • 上一篇    下一篇

鲜食葡萄天气指数保险设计:以环渤海主产区瓦房店连阴雨灾害为例

贺金娜,刘布春,刘园,殷红,邱美娟,杨晓娟,张晓男   

  1. 1.沈阳农业大学,沈阳 110161;2.中国农业科学院农业环境与可持续发展研究所/作物高效用水与抗灾减损国家工程实验室/农业农村部农业环境重点实验室,北京 100081;3.抚顺市气象局,抚顺 113006;4.天津农学院农学与资源环境学院,天津 300392
  • 收稿日期:2021-12-02 出版日期:2022-10-20 发布日期:2022-10-21
  • 通讯作者: 刘布春,研究员,从事农业气象及灾害风险评估研究。 E-mail:liubuchun@caas.cn
  • 作者简介:贺金娜,E-mail:h934953565@126.com
  • 基金资助:
    国家重点研发计划“重大自然灾害监测预警与防范”重点专项(2017YFC1502804)

Insurance Design of Table Grape Weather Index:Taking the Continuous Rain Disaster in Wafangdian, the Main Production Area around the Bohai Sea as an Example

HE Jin-na, LIU Bu-chun, LIU Yuan, YIN Hong, QIU Mei-juan, YANG Xiao-juan, ZHANG Xiao-nan   

  1. 1. College of Agronomy, Shenyang Agricultural University, Shenyang 110161, China; 2.Institute of Environment and Sustainable Development in Agriculture, CAAS/National Engineering Laboratory of Efficient Crop Water Use and Disaster Reduction/Key Laboratory of Agricultural Environment, Ministry of Agriculture and Rural Affairs, Beijing 100081; 3. Fushun Meteorological Bureau, Fushun 113006; 4.College of Agronomy and Resources and Environment, Tianjin Agricultural University, Tianjin 300392
  • Received:2021-12-02 Online:2022-10-20 Published:2022-10-21

摘要: 为解决因鲜食葡萄农业保险损失数据严重缺乏而导致的林果农业保险产品不能满足其产业分散气象灾害风险的问题,本研究基于环渤海地区瓦房店气象站1998−2019年降水、日照等气象资料,以及1998−2019年葡萄产量数据,分析由连续降水日数、降水量、日照时数构建的连阴雨灾害指数(Lu)与葡萄减产率(K)的相关性,确定葡萄生长发育关键期的关键致灾因子和致灾临界值。用Lu与K建立回归模型,应用信息扩散理论方法,计算风险概率,厘定保险费率,设计瓦房店鲜食葡萄生长发育关键期连阴雨灾害指数保险产品。结果表明:(1)连阴雨灾害是影响瓦房店地区鲜食葡萄生长发育和产量的主要气象灾害,Lu与K显著相关,其回归模型为K=2.93Lu+4.19。(2)瓦房店地区鲜食葡萄的Lu定义为4月1日−6月30日连续3d或3d以上的阴雨天数(日降水量≥0.1mm,且至少1d降水量≥25mm),期间允许1d无降水且单日日照时数≤2h的累计日数。(3)ADF检验表明,Lu、K序列平稳,均可作为设计天气指数保险的依据,瓦房店地区鲜食葡萄连阴雨灾害等级与减产率的对应关系为:12.98%≤K<18.84%(3≤Lu<5)、18.84%≤K<24.7%(5≤Lu<7)、24.7%≤K<30.56%(7≤Lu< 9)、30.56%≤K<39.35%(9≤Lu<12)、K≥39.35%(Lu≥12)。(4)基于应用信息扩散理论和连阴雨灾害指数序列计算出纯保险费率为19.01%,毛保险费率的厘定还取决于安全系数值、营业费用系数和利润率。以连阴雨指数3d作为启赔点,连阴雨灾害指数≥3d后采用投影寻踪的统计方法进行分级赔付。

关键词: 环渤海地区, 葡萄, 连阴雨灾害, 天气指数保险

Abstract: In order to solve the problem that the forest and fruit agricultural insurance products can not meet the meteorological disaster risk of industrial dispersion due to the serious lack of table grape agricultural insurance loss data, this essay is based on the meteorological data such as precipitation and sunshine of Wafangdian meteorological station around the Bohai Sea and the grape yield data from 1998 to 2019. According to the correlation between continuous cloudy and rainy index(Lu) constructed by sunshine hours and grape yield reduction rate(K), the key disaster causing factors and critical values in the critical period of grape growth and development were determined. Using the regression model established by Lu and K and the method of information diffusion theory, the risk probability is calculated, the insurance premium rate is determined, and the continuous overcast and rainy disaster index insurance products in the critical period of the growth and development of Wafangdian table grapes are designed. The results showed that: (1) continuous rain disaster was the main meteorological disaster affecting the growth, development and yield of table grapes in Wafangdian area. Lu was significantly correlated with K, and the regression model was K=2.93Lu+4.19. (2) Lu of table grapes in Wafangdian area is defined as the cumulative number of rainy days (daily precipitation≥0.1mm, and precipitation≥25mm for at least one day) for three or more consecutive days from April 1 to June 30, during which no rainfall is allowed for one day and sunshine hours≤2h per day. (3) According to ADF test, Lu and K series are stable, which can be used as the basis for designing weather index insurance. The corresponding relationship between the disaster level of continuous rain and yield reduction rate of table grapes in Wafangdian area is: 12.98%≤K<18.84%(3≤Lu<5), 18.84%≤K<24.7%(5≤Lu<7), 24.7%≤K<30.56%(7≤Lu<9), 30.56%≤K<39.35%(9≤Lu<12), K≥39.35%(Lu≥12). (4) Based on the application of information diffusion theory and continuous overcast and rainy disaster index series, the net insurance premium rate is 19.01%. The determination of gross insurance premium rate also depends on the value of safety factor, operating cost coefficient and profit margin. For specific compensation, the grape continuous cloudy and rainy index 3d is taken as the starting point, and the projection pursuit statistical method is used for hierarchical compensation when Lu≥3d.

Key words: Bohai rim, Grape, Continuous rain, Weather index insurance