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福建百香果寒冻害综合气候指标分级

谢文龙

中国农学通报2026,Vol.42Issue(8):90-94,5.
中国农学通报2026,Vol.42Issue(8):90-94,5.

福建百香果寒冻害综合气候指标分级

Classification of Comprehensive Climatic Index for Cold and Freezing Injury of Passion Fruit in Fujian Province

谢文龙1

作者信息

  • 1. 福建省种植业技术推广总站,福州 350003
  • 折叠

摘要

Abstract

Based on the meteorological data of Fujian Province from 1991 to 2020 and the investigation of the cold and freezing injury of passion fruit,this study determined four disaster-inducing factors of the cold and freezing injury of passion fruit with 2.5 ℃ as the critical temperature:the extreme minimum temperature during the cold process(X1),the duration of temperatures≤2.5℃(X2),the harmful cold accumulation of temperatures≤2.5℃during the cold process(X3),and the temperature drop amplitude when temperatures are≤2.5℃(X4).These four factors were demonstrated to be representative in Fujian Province.After normalizing the data sequences of these factors,we applied principal component analysis to comprehensively simplify the four variables,thus constructing a comprehensive climate index for evaluating passion fruit cold damage.Using the natural breaks classification method,the index was divided into four severity levels:mild(-0.36≤W<-0.23),moderate(-0.23≤W<-0.08),severe(-0.08≤W<0.06),and extremely severe(W≥0.06).Climate data from Shaowu City were used for validation to confirm that the comprehensive climate index was consistent with actual damage observations.The research results provide practical reference value for agricultural production departments to conduct rapid disaster assessment,formulate disaster prevention and mitigation strategies,and carry out refined risk zoning.

关键词

百香果/寒冻害/致灾因子/综合气候指标/等级划分/主成分分析/自然断点法

Key words

passion fruit/cold and freezing injury/disaster-inducing factors/comprehensive climate index/grade division/principal component analysis/natural breaks classification method

分类

农业科技

引用本文复制引用

谢文龙..福建百香果寒冻害综合气候指标分级[J].中国农学通报,2026,42(8):90-94,5.

基金项目

福建省自然科学基金项目"影响福建百香果3号坐果率的关键气象因子及综合气候指标研究"(2022J01440) (2022J01440)

中国气象局创新发展专项"基于低温过程的南方主要热带果树寒冻害风险预估技术研究"(CXFZ2025J160). (CXFZ2025J160)

中国农学通报

1000-6850

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