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

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.