中国农业气象 ›› 2026, Vol. 47 ›› Issue (7): 1067-1079.doi: 10.3969/j.issn.1000-6362.2026.07.006

• 二十四节气与现代农业气象 • 上一篇    下一篇

基于节气尺度的石家庄地区干热风时空分布和变化特征

孙婧怡,阎访   

  1. 1. 中国气象局雄安大气边界层重点开放实验室,雄安新区 071800;2. 河北省气象与现代经济重点实验室,石家庄 050021;3. 河北省晋州市气象局,晋州 052260;4. 石家庄市气象局,石家庄 050081
  • 收稿日期:2025-08-30 出版日期:2026-07-22 发布日期:2026-07-21
  • 作者简介:孙婧怡,E-mail:378307267@qq.com
  • 基金资助:
    石家庄市气象局科研项目(KY2506)

Temporal−spatial Distribution and Variation Characteristics of Dry−hot Wind in Shijiazhuang Region Based on Solar Term Scale

SUN Jing-yi, YAN Fang   

  1. 1. China Meteorological Administration Xiong'an Atmospheric Boundary Layer Key Laboratory, Xiong'an New Area 071800, China; 2. Hebei Key Laboratory of Meteorology and Modern Economy, Shijiazhuang 050021; 3. Jinzhou Meteorological Bureau in Hebei Province, Jinzhou 052260; 4. Shijiazhuang Meteorological Bureau, Shijiazhuang 050081
  • Received:2025-08-30 Online:2026-07-22 Published:2026-07-21

摘要:

基于19722025520615日石家庄17个国家地面气象观测站日最高气温、2000次日8008002000降水量、1400相对湿度和1400风速资料,利用统计学方法,分析该地区干热风的时间和空间变化特征,明确年典型干热风日的温、湿、风相关关系结果表明:119722025年、2000−2025年石家庄干热风日数分别以0.6d·10a12.1d·10a1的速率增加,20世纪90年代年平均干热风日数最少(8.4d·a1),21世纪20年代年平均干热风日数最多(14.8d·a1),19722025年中度、2000−2025年重度区域干热风日数呈显著增加趋势(P0.05)。(219722025年石家庄地区17站中度干热风出现频次最多,集中发生于6315日,中度干热风高发(候内每天发生)于芒种第12候,且其日数在小满第23候呈逐年增多变化。(319722025年石家庄区域干热风总日数及轻、中、重度干热风日数均有突变现象,其中距2025年最近1次突变均为突变增加,且轻度干热风日数发生在20世纪80年代末,其他干热风日数突变均发生在2016年后。(419722025年石家庄地区17站年平均干热风总日数及年平均轻、中、重度干热风日数分别为4.78.30.61.42.44.31.12.6d·a1,均表现为研究区西南部为高值区,且年平均中度干热风日数与年平均干热风总日数的空间分布基本一致。(519722025年石家庄地区年典型干热风日主要出现在6415日(占75.9%),芒种第1候最多,芒种第2候次之,且空间范围分布呈区域性(日影响站点数9站),其1400相对湿度与日最高气温、1400风速均呈负相关关系,其中与日最高气温的相关关系通过显著检验(P0.05)。研究结果可为石家庄冬小麦灌浆−成熟期的管理决策服务提供科学指导,为粮食丰产、农民增收做好气象保障服务。

关键词: 节气, 干热风, 时空特征, 温湿风相关关系, 石家庄

Abstract:

Based on the data such as daily maximum temperature, precipitation from 20:00 to 08:00 the next day and from 08:00 to 20:00, air relative humidity at 14:00, and wind speed at 14:00 observed at 17 national surface meteorological stations in Shijiazhuang from May 20 to June 15 during 1972−2025, this study analyzed the temporal and spatial variation characteristics of dryhot wind using statistical methods, and it also clarified the correlation between temperature, humidity and wind speed on annual typical dryhot wind day. The results showed that: (1) the number of dryhot wind days in Shijiazhuang increased at rates of 0.6d·10y1 from 1972 to 2025 and 2.1d·10y1 from 2000 to 2025. The decadal average of dry-hot wind days was the lowest in the 1990s (8.4d·y1) and the highest in the 2020s (14.8d·y1). Moderate dryhot wind days from 1972 to 2025 and severe dryhot wind days from 2000 to 2025 showed a significant increasing trend (P<0.05). (2) Among the 17 stations in Shijiazhuang from 1972 to 2025, moderate dryhot wind events occurred with the highest frequency, mainly concentrated from June 3 to 15. Moderate dryhot winds occurred frequently throughout the first and second pentads of Harvesting and Sowing, and its days increased year by year in the second and third pentads of Approaching Fullness. (3) Abrupt changes were detected in the total number of dryhot wind days as well as the days of mild, moderate and severe dryhot winds in Shijiazhuang from 1972 to 2025. The most recent abrupt change relative to 2025 was an abrupt increase for all categories: mild dryhot wind days increased abruptly in the late 1980s, while the others increased abruptly after 2016. (4) The decadal average number of total dryhot wind days and that of mild, moderate and severe dryhot wind days at the 17 stations in Shijiazhuang from 1972 to 2025 ranged from 4.7 to 8.3, 0.6 to 1.4, 2.4 to 4.3 and 1.1 to 2.6d·y1, respectively. All showed highvalue areas in the southwestern parts of the study region, and the spatial distribution of decadal average moderate dryhot wind days was basically consistent with that of the decadal average total dryhot wind days. (5) Annual typical dryhot wind days in Shijiazhuang from 1972 to 2025 mainly occurred from June 4 to 15 (accounting for 75.9%), with the highest frequency in the first pentad of Harvesting and Sowing, followed by the second pentad of Harvesting and Sowing, and the distribution of affected stations showed regional characteristics (affecting no less than 9 stations per day). On these days, the relative humidity at 14:00 was negatively correlated with both the daily maximum temperature and the wind speed at 14:00, and the correlation between the relative humidity at 14:00 and daily maximum temperature passed the significance test (P<0.05). The results of this study can provide scientific guidance for the management decisionmaking of winter wheat in Shijiazhuang during the grain−filling and maturation stages, as well as provide meteorological support to ensure high grain yield and increase farmers′ income.

Key words: Solar term, Dry?hot wind, Temporal?spatial variation characteristics, Correlations between temperature, humidity and wind speed, Shijiazhuang