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中国农学通报 ›› 2026, Vol. 42 ›› Issue (15): 181-188.doi: 10.11924/j.issn.1000-6850.casb2026-0270

• 资源·环境·生态·土壤·气象 • 上一篇    下一篇

宣城烟叶成熟期连阴雨灾害损失评估研究

胡安霞(), 包静雯, 邱丽芳, 孙秀邦   

  1. 宣城市气象局, 安徽宣城 242002
  • 收稿日期:2026-04-03 修回日期:2026-06-18 出版日期:2026-08-15 发布日期:2026-08-13
  • 作者简介:

    胡安霞,女,1972年出生,安徽宣城人,高级工程师,本科,主要从事应用气象研究工作。通信地址:242000 安徽省宣城市宣州区响山路60号 宣城市气象局,Tel:0563-2531010,E-mail:

  • 基金资助:
    安徽省气象局自主创新发展专项“宣城市烟草大田生长期连阴雨灾害风险研究”(AHQXZC202446)

Assessment of Disaster Losses Caused by Continuous Rain During Tobacco Maturity in Xuancheng Region

HU Anxia(), BAO Jingwen, QIU Lifang, SUN Xiubang   

  1. Xuancheng Meteorological Bureau, Xuancheng, Anhui 242002
  • Received:2026-04-03 Revised:2026-06-18 Published:2026-08-15 Online:2026-08-13

摘要:

为科学评估宣城烟叶成熟期连阴雨灾害损失,本研究以宣城市7个县(市、区)2005—2024年逐日气象数据、烟叶产量及烟叶物候发育期资料为基础,采用统计分析、相关性分析和K-Means聚类算法,系统开展连阴雨灾害致灾因子筛选、临界值确定、强度指数构建及灾害等级划分研究。结果表明:连阴雨期间降水量(RR)和持续降水天数(DR)是宣城烟叶成熟期连阴雨灾害的核心致灾因子,二者与产量灾损率(ΔY)均呈显著正相关(P<0.05),其中腰叶成熟期RRΔY达极显著相关(P<0.01);基于权重系数法构建了脚叶成熟期、腰叶成熟期、顶叶成熟期3个发育期的连阴雨强度指数模型,结合K-Means聚类将灾害划分为轻、中、重、特重4个等级,明确了各等级对应的强度指数阈值、灾损率区间及发生概率。实测数据验证结果显示,该评估体系等级差≤1的整体准确率达88%,轻、中度灾害评估准确率86%,重、特重度灾害准确率89%;空间适用性上,北部的平均准确率为90%,南部86%。本研究构建的烟叶成熟期连阴雨灾害损失评估体系,填补了宣城烟区相关研究空白,实现了灾害的分发育期、分等级精准评估,可为宣城烟区连阴雨灾害监测预警、风险防控及烟叶种植布局优化提供科学的技术支撑与决策依据。

关键词: 宣城, 烟叶成熟期, 连阴雨灾害, 致灾因子, 强度指数, 损失评估体系

Abstract:

To scientifically assess the losses caused by continuous rain disasters during the maturity stage of tobacco leaves in Xuancheng, this study was conducted based on daily meteorological data, tobacco yield data, and phenological development data from 7 counties (cities, districts) in Xuancheng City from 2005 to 2024. Using statistical analysis, correlation analysis, and the K-Means clustering algorithm, we systematically carried out research on the screening of disaster-causing factors, determination of critical thresholds, construction of intensity indices, and classification of disaster grades for continuous rain disasters. The results showed that total precipitation (RR) and duration of rainy days (DR) during continuous rain were the core disaster-causing factors for continuous rain disasters during the maturity stage of tobacco leaves in Xuancheng. Both factors were significantly positively correlated with yield loss rate (ΔY) (P<0.05), among which RR during the middle leaf maturity stage was extremely significantly correlated with ΔY (P<0.01). Based on the weight coefficient method, continuous rain intensity index models were constructed for three developmental stages: lower leaves, middle leaves, and upper leaves. Combined with K-Means clustering, the disasters were divided into four grades: slight, moderate, severe, and extremely severe, with the corresponding intensity index thresholds, yield loss rate intervals, and occurrence probabilities clarified. Verification results of measured data showed that the overall accuracy of the evaluation system with a grade difference ≤1 reached 88%, with an accuracy of 86% for slight and moderate disasters, and 89% for severe and extremely severe disasters. In terms of spatial applicability, the average accuracy was 90% in the northern region and 86% in the southern region. The continuous rain disaster loss evaluation system for tobacco leaves during the maturity stage established in this study fills the research gap in the Xuancheng tobacco-growing area and realizes precise stage-based and grade-based disaster evaluation. It can provide scientific technical support and decision-making basis for the monitoring and early warning, risk prevention and control, and optimization of tobacco planting layout under continuous rain disasters in Xuancheng tobacco-growing area.

Key words: Xuancheng, tobacco maturity stage, continuous rain disaster, disaster-inducing factors, intensity index, loss assessment system

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