中国农业气象 ›› 2026, Vol. 47 ›› Issue (1): 121-134.doi: 10.3969/j.issn.1000-6362.2026.01.011

• 高标准农田智慧气象监测与应用专刊 • 上一篇    下一篇

冬小麦田间温湿度特征及其模拟模型构建

马美娟,陈永清,胡莉婷,余卫东   

  1. 1.商丘市气象局,商丘 476000;2.中国气象局·河南省农业气象保障与应用技术重点实验室,郑州 450003
  • 收稿日期:2024-12-13 出版日期:2026-01-20 发布日期:2026-01-16
  • 作者简介:马美娟,E-mail:374802336@qq.com
  • 基金资助:
    河南省科技研发计划联合基金项目(232103810094);中国气象局·河南省农业气象保障与应用技术重点实验室项目(KM202356);商丘市气象局气象科学技术研究项目(SQ202302)

Charaterization and Simulation Model of Temperature and Humidity in Winter Wheat Field

MA Mei-juan, CHEN Yong-qing, HU Li-ting, YU Wei-dong   

  1. 1. Shangqiu Meteorological Bureau, Shangqiu 476000, China; 2. Henan Provincial Key Laboratory of Agrometeorological Safeguard and Applied Technique, China Meteorological Administration, Zhengzhou 450003
  • Received:2024-12-13 Online:2026-01-20 Published:2026-01-16

摘要:

为研究冬小麦田间温湿度变化及其与临近气象观测站温湿度的定量关系,20221020235月在商丘农业气象观测站冬小麦试验田10cm30cm50cm70cm150cm高度处安装温湿度记录仪,研究不同生长阶段和不同天气类型冬小麦田间温湿度时空特征。采用线性回归方法,分别建立冬小麦全生育期和不同天气类型下田间温湿度与百叶箱温湿度的关系模型,并进行检验,以期为冬小麦气象服务提供数据支撑,提高农业气象服务水平。结果表明:(1)冬小麦分蘖越冬期、返青抽穗期、开花成熟期田间各高度气温与百叶箱气温日变化特征一致,且3个生长阶段田间各高度气温7001600均高于百叶箱气温0.14.1℃,其余时段均低于百叶箱气温0.13.7℃。3个生长阶段田间各高度日最高气温出现时间较百叶箱温度偏早1~2h,最低气温较百叶箱偏早01h。(2)除冬小麦开花成熟期50150cm处上午某些时刻田间空气相对湿度低于百叶箱0.1~3.7个百分点,其他生长阶段、高度和时次均高于百叶箱0.6~26.8个百分点。3个生长阶段百叶箱空气相对湿度最小值出现时间比田间晚1~2h。3)田间和百叶箱温湿度的日变化幅度大小依次为晴天>多云>阴天。晴天百叶箱与田间10150cm气温差的平均值分别较多云和阴天高0.4℃和0.5℃,晴天百叶箱与田间10150cm空气相对湿度差平均值分别较多云和阴天高1.8个和2.1个百分点。4)全生育期和不同天气类型不同时间尺度田间各高度温湿度模拟模型均通过了0.01水平的显著性检验,且日尺度模拟效果优于小时尺度模型,气温模拟效果优于空气相对湿度,所有模型的模拟精度随田间监测高度增加逐渐升高。不同天气类型下,田间各高度温湿度模拟效果阴天>多云>晴天。

关键词: 冬小麦, 田间, 百叶箱, 观测站, 时间尺度

Abstract:

This study investigated the characteristics of temperature and humidity variations in winter wheat fields and their quantitative relationship with observations at meteorological station. Temperature and humidity recorders were installed at heights of 10, 30, 50, 70 and 150cm in the winter wheat experimental field of Shangqiu agrometeorological observation station from October 2022 to May 2023. The spatiotemporal characteristics of temperature and humidity in the field were analyzed across different growth stages of winter wheat and different weather types. Linear regression models were developed to simulate field temperature and humidity using thermometer screen data for both the entire growth stage and different weather types. Model evaluation was conducted to enhance weather services for winter wheat production and improve agricultural meteorological service quality. The results showed that: (1) the diurnal variation characteristics of temperature and humidity at different heights during tilleringoverwintering, revivingheading and floweringmaturity stage of winter wheat were consistent with thermometer screen observations. Field temperature at all heights were 0.1−4.1°C higher than thermometer screen temperature from 700 to 1600, and 0.1−3.7°C lower during other periods. Temperature peaks occurred 1−2h earlier in the field, while troughs appeared 0−1 hour earlier compared to the thermometer screen. (2) During floweringmaturity stage, humidity at heights of 50−150cm was 0.1−3.7 percentage points lower than that the thermometer screen at specific morning hours. In all other growth stages, heights and times, it consistently exceeded the thermometer screen by 0.6~26.8 percentage point. Relative humidity troughs in the thermometer screen was delayed by 1−2h compared to field. (3) The amplitude of temperature and humidity changes followed the pattern: sunny>cloudy>overcast days. Temperature differences between thermometer screen and field were 0.4°C and 0.5°C greater on sunny days than cloudy and overcast days, respectively. Similarly, relative humidity differences were 1.8 and 2.1 percentage point greater on sunny days than cloudy and overcast days. (4) The developed simulation models were approved by 0.01 level significant test on daily and hourly scales. Dailyscale simulation effect outperformed hourlyscale, and temperature modeling achieved higher accuracy than humidity, and model accuracy improved with increasing height. Model performance acrossed weather types followed a consistent hierarchy: cloudy> overcast>sunny days. 

Key words: Winter wheat, Field, Thermometer screen, Observation station, Time scale