摘要
以平罗县土壤水分固定观测地段DZN3型土壤水分自动站2014年4月3日至2014年8月28日自动观测数据与人工观测数据为基础,利用Pearson相关系数,对数据进行折线图对比分析、误差分析及相关性分析。结果表明,除20~30 cm深度土层自动站数据与人工观测数据呈现负相关性;其余深度土层数据呈现正相关性,其中50~60 cm两种数据相关性最好,90~100 cm两种数据相关性较差。分别对各土层对比观测数据建立一元线性回归方程,得出订正模式,使土壤水分自动站能更好地代替人工测量,解决人工取土连续性、时效性差等问题。
Based on the automatic observation data and artificial observation data of the soil moisture automatic station in the soil moisture fixed observation area DZN3 in Pingluo county from April 3, 2014 to August 28, 2014, using the Pearson cor-relation coefficient, the data were analyzed with the methods of line graph comparative analysis, error and standard deviation analysis and correlation analysis. The results showed that beside that the depth of 20-30 cm soil layer automatic station data and artificial data showed a negative correlation, the remaining depth of soil layer data showed positive correlation. The cor-relation between the two groups of data of 50~60 cm was the highest and the correlation between the two groups of data of 90~100 cm was relatively low. The one-dimensional regression equation with the comparative observation data of various soil layers was established and then corrected model was obtained to make the soil moisture automatic station better replace the artificial observation and solve the problems of bad continuity and timeliess of the artificial soil taking.
出处
《宁夏农林科技》
2015年第1期43-45,共3页
Journal of Ningxia Agriculture and Forestry Science and Technology
关键词
土壤水分
自动观测
人工观测
对比分析
Soil moisture
Automatic observation
Artificial observation
Comparative analysis
