中国农业气象 ›› 2025, Vol. 46 ›› Issue (5): 628-639.doi: 10.3969/j.issn.1000-6362.2025.05.004

• 农业生物气象栏目 • 上一篇    下一篇

昭通苹果干旱变化特征及风险分析

曾厅余,鲁兴凯,高应鸣,姚睦忱,何娟,周永生,张秀英,孙东汉   

  1. 1.云南省昭通市气象局,昭通 657000;2.昭通市苹果产业发展中心,昭通 657000
  • 收稿日期:2024-08-15 出版日期:2025-05-20 发布日期:2025-05-14
  • 作者简介:曾厅余,E-mail:56254981@qq.com
  • 基金资助:
    云南省气象科技创新人才计划项目(2022118);昭通市“兴昭人才”拔尖领军人才项目(202303)

Characteristics of Drought Changes and Risk Analysis in Zhaotong Apple

ZENG Ting-yu, LU Xing-kai, GAO Ying-ming, YAO Mu-chen, HE Juan, ZHOU Yong-sheng, ZHANG Xiu-ying, SUN Dong-han   

  1. 1. Zhaotong Meteorological Service, Zhaotong 657000, China; 2. Zhaotong Apple Industry Development Center, Zhaotong 657000
  • Received:2024-08-15 Online:2025-05-20 Published:2025-05-14

摘要:

基于2010−2023年昭通苹果物候期资料和1960−2023年昭通气象资料及干旱灾情资料,将物候期分为休眠期、发芽期、开花期、幼果期、膨大期和采收期6个生育期,采用作物水分亏缺距平指数(CWDIa)分析各生育期干旱频次和时长、累计干旱强度(CDI)判识干旱风险强度、Morlet复连续小波变换(CCWT)探索累计干旱强度的时频演变特征,以明确昭通苹果干旱风险的发生规律。结果表明:昭通苹果干旱具有多发性、季节性、突发性、重发性和次季节性等特征。各发育期干旱发生频次差异大,其中,幼果期(55a>采收期、休眠期(49a>开花期(20a>发芽期(19a>膨大期(8a),特旱最易发生在幼果晚期和采收晚期。干旱持续时长在1~4旬;各发育期CDI差异明显,幼果期(335.0%)>休眠期(172.7%)>发芽期(137.7%)>采收期(137.1%)>开花期(68.1%)>膨大期(8.0%)。干旱风险判识阈值不一,对干旱胁迫敏感性排序依次为膨大期>开花期>采收期>幼果期>发芽期>休眠期。重特大干旱灾害风险季节性强,表现为幼果期>发芽期>采收期>膨大期>开花期>休眠期。干旱风险呈多尺度周期性、阶段性和突变性变化,1991年以来干旱风险总体呈增大趋势。

关键词: 苹果, 累计干旱强度, 干旱风险, 判识阈值, 小波分析

Abstract:

This study is based on the phenological data of Zhaotong apple from 2010 to 2023, the meteorological data and drought disaster data of Zhaotong from 1960 to 2023, and divided the phenologicals into six growth stages, including dormancy, bud, anthesis, fruitlet, expansion and harvest stage, and used the crop water deficit abnormal index (CWDIa) to analyze the drought frequency and duration of each growth stage, used the cumulative drought intensity (CDI) to identify the drought risk intensity, used the Morlet complex continuous wavelet transform(CCWT) to explore the timefrequency evolution characteristics of cumulative drought intensity, so as to analyze the occurrence law of drought risk in Zhaotong apple. The results showed that drought in the apple growing region of Zhaotong was characterized by a pattern of frequency, seasonality, suddenness, severity and subseasonality. The drought in each development stage followed as: there was a large difference in the frequency of occurrence, fruitlet (55y)>harvest and dormancy (49y)> anthesis (20y)> bud(19y)> expansion(8y), and the extreme drought were most likely to occur at the end of the fruiting period and during late harvests. The duration of drought was between 14 tendays, and there were significant differences in CDI, with the mean of fruitlet(335.0%)>dormancy (172.7%)>bud(137.7%)>harvest(137.1%)>anthesis(68.1%)>expansion(8.0%). The thresholds for the classification and identification of drought risk intensity were different, sensitivity to drought stress of stage was expansion>anthesis>harvest> fruitlet>bud>dormancy. The risk of severe drought disasters was seasonal and the fruitlet>bud>harvest>expansion>anthesis>dormancy. Drought risk had shown multi-scale periodic, phased and abrupt changes, with a general trend of increasing drought risk since 1991. 

Key words: Apple, CDI, Drought risk, Discriminant thresholds, Wavelet analysis