【摘要】 为了充分发挥土壤水分自动观测数据在气象业务和科研工作中的作用,本研究以山东省为例,研究了土壤水分的时空分布规律,并利用K聚类分析方法进行了分区研究。结果表明2016年山东省不同层次土壤的水分含量呈现出东部半岛低于中、西部的规律;表层的土壤水分含量较低,且土壤含水量的空间差异小于深层。海阳和章丘2个典型站点表层土壤水分的波动较下层更明显;气温、相对湿度、气压、降水和土壤温度等气象因子在不同层次上对土壤水分含量有明显的影响。利用K聚类分析方法结合站点的空间分布情况,可以将山东省分为4个区域,并在东西方向上依次分布。更多还原

【Abstract】 In order to optimize the use of soil moisture automatic observation data in the meteorological services and relevant scientific research, the spatial and temporal distribution of soil moisture was investigated in Shandong province, and the zoning research of soil moisture in the province was carried out using the K-means clustering. The results showed that soil moisture contents at different depths in the eastern peninsula were lower than those in the middle and western regions of Shandong in 2016. The surface soil moisture content was low, and the spatial variation of soil moisture contents in the surface soil layer was lower than that in the deep soil layer. The fluctuation of soil moisture in surface layer was more obvious than that in the deep soil layer in Haiyang and Zhangqiu. Meteorological factors, such as temperature, relative humidity, air pressure, precipitation and soil temperature, showed the significant influence on soil moisture contents at different depths. After soil moisture data were used to group all stations into clusters using the K-means clustering method, the Shandong province could be classified into four regions distributing in an east-west direction.更多还原