摘要
以华北地区某测站野外试验数据为依据,利用数据挖掘技术中的决策树方法分别分析了地下水埋深与土壤含水量以及与浅层地温的关系,结果表明地下水埋深是影响土壤含水量和地温的重要因素。
Based on the field experimentation data in the repres entative region of North China,decision-tree method of data mining technology i s used to analyze the relationship between the groundwater level and soil water content or soil temperature, respectively. The result shows that the groundwater level is one of the very important factors for soil water content and soil temp erature. Therefore, during the study of land surface process, groundwater level is one of the influential factors and can not be ignored.
出处
《水电能源科学》
2005年第3期29-31,i004,共4页
Water Resources and Power
基金
国家自然科学基金资助项目(50179010)
关键词
地下水
数据挖掘
陆面过程
地温
土壤含水量
groundwater
data mining
land surface process
soil temperature
soil water content
