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中国农学通报 ›› 2014, Vol. 30 ›› Issue (36): 275-280.doi: 10.11924/j.issn.1000-6850.2014-2174

所属专题: 农业气象

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

辽宁省春季表层地温变化特征及其与气温的关系

周斌,陈鹏狮,李晶,林俊杰,王婷,张晓影   

  1. 辽宁省气象科学研究所,辽宁省气象科学研究所,辽宁省气象科学研究所,重庆三峡学院,辽宁省气象科学研究所,江苏省水文水资源勘测局扬州分局
  • 收稿日期:2014-08-10 修回日期:2014-08-10 接受日期:2014-09-24 出版日期:2015-03-20 发布日期:2015-03-20
  • 通讯作者: 陈鹏狮
  • 基金资助:
    辽宁省气象局科学技术研究课题 “辽宁大田作物适播期预报的业务化应用” (201313)。

Variation Characteristics of Surface Ground Temperature of Liaoning in Spring

  • Received:2014-08-10 Revised:2014-08-10 Accepted:2014-09-24 Online:2015-03-20 Published:2015-03-20

摘要: 为揭示春季地温对各气象因子的关系与响应程度,总结地温变化规律,以辽宁地区为研究区域,通过利用1981—2010年3—5月辽宁省49个气象站的地温、气温、日照时数、太阳辐射、平均风速、水汽压、相对湿度、降水逐日资料,采用气候倾向率、相关分析、回归分析、因子分析等统计方法研究了近30年辽宁地区地温变化趋势及其气象影响因素。结果表明:随土壤深度的增加,地温与气温的差值逐渐降低,辽宁中部地温与气温差值相对较小;辽宁西部地温>辽宁东部地温>辽宁地区气温;地温与8种气象因素特别是气温的关系更为紧密且有显著的正相关性。在春播期地温预报中,应结合地形地貌特点充分考虑这些气象要素带来的影响。

关键词: 监督分类, 监督分类, 空间分析, 功能区划

Abstract: In order to reveal the relationship between the ground temperature and the other meteorological factors and summarized the variation of the ground temperature in spring, as a case study, the variation trend of ground temperature and its influencing meteorological factors are analyzed based on the data of daily mean ground temperature at 0-10 cm soil depths, mean air temperature, sunshine hours, solar radiation, average wind speed, vapor pressure, relative humidity and precipitation in Liaoning weather station from March to May in 1981-2010. The analysis was conducted with modern statistical diagnostic methods including the linear trend analysis, correlation analysis, regression analysis and factor analysis. The results showed that the difference between ground temperature and air temperature became smaller with the increase of the soil depth. The difference between ground temperature and air temperature in the central of Liaoning was relatively small. The result indicated: ground temperature in the west of Liaoning > ground temperature in the east of Liaoning > air temperature in Liaoning. There was a significant positive correlation between ground temperature and 8 kinds of meteorological factors. We should fully consider the influence of all these meteorological elements and landform and physiognomy features in spring ground temperature forecast.