土壤水分自动与人工观测资料对比评估及湿度模型构建

Comparison and Evaluation of Soil Moisture in Automatic and Artificial Observation Data and Construction of Humidity Model

基于莒县气象局2011年2—8月土壤水分自动观测与人工同步对比观测数据,采用对比差值、差值概率和相关系数等方法进行分析和评估,通过回归建立湿度模型。结果表明,单层平均最大误差为5.799%,最小误差为2.025%,0~100 cm 8个层次平均误差3.306%,符合中国气象局考核标准。但30~40 cm误差值较大,说明厂家给出的订正曲线误差偏大,订正后对比观测的数据绝对误差很小,订正效果比较理想,通过了对比考核。相对湿度模型的构建,为自动土壤水分观测资料的实际应用提供了一种指导方法。

Based on the observation data of soil moisture of automatic observation and artificial synchronization in Juxian Meteorological Bureau from February to August in 2011, the comparison difference, difference probability and correlation coefficient were used to analyze and evaluate, and the humidity model was established by regression. The results showed that the maximum absolute error was 5. 799%, the minimum absolute error was 2. 025% ,and the average absolute error of 0 - 100 cm was 3. 306% ,which was in accordance with the standards of China Meteorological Administration. But the error value of 30 -40 cm was larger,indicating that the correction curve error by the manufacturer was too large, the absolute error of the observed data after correction was very small, the revised effect was ideal, through the comparative assessment. The model construction of relative humidity provides a guiding method for the practical application of automatic soil moisture observation data.