利用气温进行统计回归预测土温  

Prediction Model for Soil Temperature by Statistical Regression of Air Temperature

作　　者：侯建花 李桥 徐小军[2] 许元科 周健[3] 

机构地区：[1]浙江省景宁县林业局,浙江景宁323500 [2]浙江农林大学环境与资源学院,浙江临安311300 [3]浙江农林大学信息工程学院,浙江临安311300

出　　处：《浙江林业科技》2015年第5期55-59,共5页Journal of Zhejiang Forestry Science and Technology

基　　金：景宁畲族自治县科技计划项目(2014A05-5);浙江省教育厅项目(Y201432350);浙江农林大学科研发展基金人才启动项目(2014FR025)

摘　　要：在安吉县毛竹林通量观测塔采集了2011年3月21日至2012年7月21日连续观测得到的5、50和100 cm深度土壤温度和38、7、1 m高度大气温度数据,分析土壤温度和空气温度之间的数学模型来预测土壤温度。结果表明:不同层次土壤温度和空气温度的变化趋势都呈现出大致相同的变化趋势,随着土壤深度的增加,影响因素增加,土温与气温的最高峰相比存在滞后期,相关性分析显示5 cm土温和各层气温基本一致,50 cm处的土壤最高温度比1 m最高气温向后推移15 d;100 cm的土壤温度最高峰比1 m气温最高峰推移28 d。Air temperature 38 m, 7m and 1m aboveground and soil temperature at depth of 5cm, 50 cm and 100 cm were measured by HMP45 C sensor and CS616 in the flux tower surrounded by Phyllostachys heterocycla cv. pubescens in Anji, Zhejiang province, from Mar. 21, 2011 to Jul. 21, 2012. A regression model was developed for predicting soil temperature by analyzing relations between soil temperatures and air temperature. Results suggested that temperature despite air and soil and location had similar changes, but with the depth of soil, peak soil temperature had a lag phase. Correlation analysis demonstrated that peak soil temperature at depth of 5cm was similar with despite air temperatures, that at 50 cm was 15 days later than air temperature 1m aboveground, and that at 100 cm was 28 days later.

关 键 词：气温 土壤温度 预测模型 

分 类 号：S714[农业科学—林学] S716