欢迎访问《中国农学通报》,

中国农学通报 ›› 2026, Vol. 42 ›› Issue (11): 107-115.doi: 10.11924/j.issn.1000-6850.casb2025-0522

• 资源·环境·生态·土壤·气象 • 上一篇    下一篇

广东沙田柚气象指数保险构建——以梅州市为例

陈金星1(), 罗碧瑜1(), 林立进1, 刘小容2, 李丹霞2, 曾莉茗1, 徐洵2, 曾洁华2   

  1. 1 梅州市气象局, 广东梅州 514000
    2 大埔县气象局, 广东大埔 514200
  • 收稿日期:2025-09-22 修回日期:2026-02-25 出版日期:2026-06-12 发布日期:2026-06-12
  • 通讯作者:
    罗碧瑜,女,1973年出生,广东兴宁人,正高级工程师,本科,研究方向:气象及其相关工作。通信地址:514000 广东省梅州市梅江区丽都西路45号 梅州市气象局,E-mail:
  • 作者简介:

    陈金星,男,1996年出生,广东南雄人,工程师,本科,研究方向:农业气象服务与应用。通信地址:514000 广东省梅州市梅江区丽都西路45号 梅州市气象局,E-mail:

  • 基金资助:
    梅州市气象局科技项目“基于物候期的梅州柚气象指数保险产品设计”(2024M01); 广东省气象局科技项目“基于MaxEnt模型的广东沙田柚潜在适生区预测”(GRMC2024M45); 梅州市社会发展科技计划项目“梅州市金柚花期低温阴雨致灾危险性区域划分”(2023C0301003)

Construction of Weather Index Insurance for Guangdong Shatian Pomelo: A Case Study of Meizhou City

CHEN Jinxing1(), LUO Biyu1(), LIN Lijin1, LIU Xiaorong2, LI Danxia2, ZENG Liming1, XU Xun2, ZENG Jiehua2   

  1. 1 Meteorological Bureau of Meizhou City, Meizhou, Guangdong 514000
    2 Meteorological Bureau of Dabu County, Dabu, Guangdong 514200
  • Received:2025-09-22 Revised:2026-02-25 Published:2026-06-12 Online:2026-06-12

摘要:

全球气候变暖背景下,广东省频发低温阴雨、干旱、暴雨、台风等灾害性天气,严重影响沙田柚等农作物的产量和品质,制约了广东沙田柚产业的可持续发展和经济效益提升。气象指数保险作为农业保险的创新险种,以客观数据为核灾定损依据,赔付便捷,可有效分散转移农业生产中的气象灾害风险。为应对极端天气对沙田柚产业的负面影响,推动农业气象指数保险覆盖面、丰富产品种类、提升保障标准,亟需开展广东沙田柚气象指数保险产品的设计与应用研究。本研究以梅州市为例,基于2005—2023年的逐日气象数据和沙田柚单产数据,筛选不同生育阶段的关键气象指数,构建了沙田柚气象指数—灾损模型。采用A-D检验,确定了沙田柚气象指数序列的最优概率分布模型,进而科学地确定保险赔付比例,并计算出不同级别减产率对应的纯费率以及保费。通过回溯历年气象数据,计算了近10 a、近20 a和近30 a的保险赔付率,验证其是否符合市场要求。结果表明:(1)梅县区、大埔县花芽分化期的低温指数、花期的日照指数是导致沙田柚减产的关键气象因素,将其设计为保险理赔的关键指标。(2)当梅县区花芽分化期低温指数达到11 d、梅县区花期日照指数达到8 d、大埔县花芽分化期低温指数达到12 d、大埔县花期日照指数达到8 d时,将触发沙田柚气象指数保险的理赔。对应不同级别减产率的纯费率分别在1.04%~6.93%、0.79%~4.58%、3.25%~8.29%、1.88%~5.43%之间,每公顷沙田柚种植面积的保费分别在470~3120元、357~2060元、1462~3731元、846~2444元之间。(3)通过历年保险理赔验证,梅州市近10 a、近20 a和近30 a的保险平均赔付率分别为65.86%、69.40%和74.61%。研究设计的沙田柚气象指数保险方案具有良好的市场适应性,满足保险赔付率的合理需求,可为新一轮政策性农业保险的制定与实施提供参考。

关键词: 广东, 沙田柚, 气象指数保险, 产品设计, 全生育期, 多灾种, 纯费率厘定, 风险评估

Abstract:

Under the background of global warming, Guangdong Province has been frequently affected by disastrous weather events including persistent low temperature and rain, drought, torrential rain, and typhoons. Such extreme weather severely affects the yield and quality of Shatian pomelo and other crops, restricting the sustainable development and economic benefit improvement of the Shatian pomelo industry in Guangdong. As an innovative type of agricultural insurance, weather index insurance conducts disaster verification and loss determination based on objective data, with convenient claim settlement. It can effectively disperse and transfer meteorological disaster risks in agricultural production. To avoid or mitigate the adverse impacts of disastrous weather on the yield and quality of Shatian pomelo, and to promote the expansion, diversification, and upgrading of agricultural weather index insurance, it is urgent to carry out the design and application of weather index insurance products for the Shatian pomelo industry in Guangdong. Taking Meizhou City as a case, this research screens key meteorological indices at different growth stages and constructs a meteorological index-disaster damage model for Shatian pomelo based on daily meteorological data and Shatian pomelo yield data from 2005 to 2023. The Anderson-Darling (A-D) test is employed to select the optimal probability distribution model for the sequence of Shatian pomelo meteorological indices, determine the insurance payout ratio, and obtain pure premium rates and corresponding premiums for different levels of yield reduction rates. By substituting historical meteorological data, the insurance payout rates for the recent 10 years, 20 years, and 30 years are calculated to verify their compliance with market requirements. The results indicate: (1) The low-temperature index during the bud differentiation stage and the sunshine index during the flowering stage in Meixian District and Dabu County are key meteorological indices leading to Shatian pomelo yield reduction, which are designed as the claim indices for the insurance. (2) When the low-temperature index during the bud differentiation stage in Meixian District reaches 11 days, the sunshine index during the flowering stage in Meixian District reaches 8 days, the low-temperature index during the bud differentiation stage in Dabu County reaches 12 days, and the sunshine index during the flowering stage in Dabu County reaches 8 days, the meteorological index insurance for Shatian pomelo is triggered. The pure premium rates corresponding to different levels of yield reduction rates range from 1.04% to 6.93%, 0.79% to 4.58%, 3.25% to 8.29%, and 1.88% to 5.43%, respectively, with the premiums per hectare of Shatian pomelo planting area ranging from CNY 470 to 3,120, CNY 357 to 2,060, CNY 1,462 to 3,731, and CNY 846 to 2,444, respectively. (3) Through verification of historical insurance claims, the average insurance payout rates in Meizhou City for the recent 10 years, 20 years, and 30 years are 65.86%, 69.40%, and 74.61%, respectively. The designed Shatian pomelo meteorological index insurance meets the market requirements for insurance payout rates and can provide a reference for the new round of policy-based agricultural insurance.

Key words: Guangdong, Shatian pomelo, weather index insurance, product design, whole growth period, multi-hazard, pure premium rate, risk assessment

中图分类号: