南城自动站土壤水分资料的统计学订正分析  

STATISTICAL CORRECTION OF SOIL MOISTURE RECORDS OBTAINED FROM HYA-SF AUTOMATIC STATION IN NANCHENG COUNTY

作　　者：胡新华[1] 况秋明 张显真[3] 

机构地区：[1]江西省大气探测技术中心,江西南昌330001 [2]丰城市气象局,江西宜春331100 [3]江西省气象局,江西南昌330046

出　　处：《气象与减灾研究》2010年第2期69-72,共4页Meteorology and Disaster Reduction Research

基　　金：江西省气象科技创新基金项目(编号:GCX200921)

摘　　要：对2006—2009年南城站5—10cm、10—20cm、20—30cm、30—40cm和40—50cm等5个土层各90组样本的HYA-SF型土壤水分自动观测数据与同期人工观测数据进行了偏差与相关性分析,采用线性方程建立拟合模式,对自动土壤水分观测数据进行订正,并以相对误差±5%、±10%为指标对订正前后的数据合格情况进行了统计。结果表明,各土层自动土壤水分观测数据与人工观测数据虽然存在较大偏差,但二者具有一致的变化趋势,相关性好;分别利用5个土层同期对比观测数据建立的一元线性回归模型;拟合订正后的自动站各层数据偏差不同程度减小,数据合格率明显上升。Babied on the synchronous soil moisture records of five layers obtained from HYA-SF automatic station and manual observation in Nancheng County, deviation and correlation are analyzed. The corresponding linear equations for each soil layer are employed to correct the data from HYA-SF automatic station. And the data qualities are analyzed according to the index errors of ±5% and ±10%. The results show that although there is obvious deviation among the two groups of synchronous soil moisture records in each layer, they present the same variation trend and good correlation. All the five linear regression models have passed the reliability of 0.01 significance test. The deviations between the revised automatic station data and the manual observed data decreased. Therefore, the correction model could be used to revise the automatic station data.

关 键 词：土壤水分 数据分析 偏差订正 拟合模型 

分 类 号：P413[天文地球—大气科学及气象学]