中国农业气象 ›› 2025, Vol. 46 ›› Issue (5): 682-693.doi: 10.3969/j.issn.1000-6362.2025.05.009

• 农业气象灾害栏目 • 上一篇    下一篇

吉林省春玉米风灾时空变化特征及其气象等级判定

刘玉汐,任景全,王冬妮,陈长胜,王琪,宋爽,赵晶   

  1. 1.吉林省气象台,长春 130062;2.吉林省气象科学研究所/吉林省农业气象灾害风险评估与防控科技创新中心,长春 130062;3.延边朝鲜族自治州气象局,延吉 133000
  • 收稿日期:2024-07-03 出版日期:2025-05-20 发布日期:2025-05-15
  • 作者简介:刘玉汐,E-mail:lyx0427@163.com
  • 基金资助:
    吉林省科技发展计划项目(20210203153SF;20240304135SF);中国气象局创新发展专项项目(CXFZ2024J050);吉林省气象局标准预研究项目(QX/YYJ02−2023)

Temporal and Spatial Variation Characteristics of Spring Maize Wind Damage and Its Meteorological Grade Determination in Jilin Province

LIU Yu-xi, REN Jing-quan, WANG Dong-ni, CHEN Chang-sheng, WANG Qi, SONG Shuang, ZHAO Jing   

  1. 1.Meteorological Observatory of Jilin Province, Changchun 130062, China; 2.Institute of Meteorological Science of Jilin Province/Jilin Province Science and Technology Innovation Center of Agro-meteorological Disaster Risk Assessment and Prevention, Changchun 130062; 3.Yanbian Korean Autonomous Prefecture Meteorological Bureau, Yanji 133000
  • Received:2024-07-03 Online:2025-05-20 Published:2025-05-15

摘要:

利用1971−2023吉林省43个气象站逐日数据、18个农业气象观测站春玉米生育期和43个县域春玉米风灾灾情数据,分析春玉米不期风时空变化特征,基于降水量和最大风速,构建春玉米育期风灾气象等级指标,验证,以期完善不同风雨条件下春玉米风灾监测评估技术结果表明1吉林玉米抽雄乳熟期灾发生次数最多,61次,1971−2022年全生育期的41.5%;春玉米风灾发生次数显著增加趋势,增幅为1.3次∙10a−12010s发生次数最多,76占1970−2010总次数的52.8%1971−2022年春玉米风灾主要发生在吉林省中西部和东部的敦化,其中敦化发生次数最多,102灾发生前2d降水量与风灾发生当日降水量累加的过程降水量与风灾受灾面积百分比呈显著正相关关系,拟合效果最好R20.616;基于最大风速和过程降水量建立春玉米不同生育期风灾回归方程,各回归方程均呈显著线性正相关(P0.01),符合样本独立性,拟合效果较好R2均大于0.53)拔节抽雄期最易受雨型风灾影响,且最易发生中度等级风灾;乳熟成熟期最雨型风灾影响,且最易发生中度以上等级(4基于少雨型风灾和多雨型风灾的气象等级,判定春玉米拔节−成熟期风灾典型案例的受灾等级并进行验证,指标判定风灾等级与实际完全相符的占比72.7%,与实际相差一个等级的占比18.2%;多雨型风灾准确高,完全相符的占比为85.7%雨型风灾中完全相符占比50%。综上认为春玉米风灾气象等级可合理判定不同风雨条件下春玉米各生育阶段受风灾影响程度当地农业生产防灾减灾提供参考。

关键词: 春玉米, 风灾, 气象等级, 最大风速, 过程降水量

Abstract:

Temporal and spatial variation characteristics of spring maize wind damage at different growth stages were analyzed based on the daily meteorological data of 43 meteorological stations, growth stages of spring maize in 18 agricultural observation stations and the data of wind damage of spring maize in 43 counties in Jilin province from 1971 to 2023. The meteorological grade index at different growth stages of spring maize wind damage was constructed and verified based on precipitation and maximum wind speed, in order to improve the monitoring and evaluation technology of spring maize damage under different wind and rain conditions. The results showed that: (1) the numbers of wind damage in heading-milk maturity of spring maize in Jilin province from 1971 to 2022 was the highest, reaching 61 times, accounting for 41.5% of the whole growth period from 1971 to 2022; the number of spring maize wind damage showed a significant upward trend, with an increase rate of 1.3 times∙10y−1; the number of occurrences in 2010s was the highest, reaching 76 times, accounting for 52.8% of the total number from 1970s to 2010s; the spring maize wind damage mainly occurred in the central and western part and Dunhua of eastern part of Jilin  from 1971 to 2022, which Dunhua had the largest number of occurrences, 10 times. (2) There was a significant positive correlation between the process precipitation of 2 days before and on the day of the occurrence of the wind damage and the percentage of damage area, and the fitting effect was the best, R2 was 0.616; the wind damage regression equations of spring maize in different growth stages were established by using the maximum wind speed and process precipitation, each regression equation showed a significant linear positive correlation (P0.01), which conformed to the sample independence and had a good fitting effect, R2 was greater than 0.5. (3) The jointing−heading stage was most susceptible to less rainfall type wind damage, and the moderate wind damage was most prone to occur; the milk maturity−maturity stage was most susceptible to heavy rainfall type wind damage, and it was most prone to moderate and above wind damage. (4) The disaster grade of typical cases of wind damage in jointing-maturity stage of spring maize based on the meteorological grade index of less rainfall type wind damage and heavy rainfall type wind damage was determined and verified, the proportion of wind damage grade determined by the index completely consistent with the actual situation was 72.7%, and the proportion of one grade different from the actual situation was 18.2%; the accuracy of heavy rainfall type wind damage was higher, and the proportion of complete consistent was 85.7%, the proportion of coincidence in less rainfall type wind damage was 50%. In summary, the meteorological grade index of spring maize wind damage can reasonably determine the degree of wind damage in each growth stage of spring maize under different wind and rain conditions, which can provide reference for disaster prevention and mitigation of local agricultural production.

Key words: Spring maize, Wind damage, Meteorological grade, Maximum wind speed, Process precipitation