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山东省土壤水分时空分布规律及分区
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  • 英文篇名:Spatial and temporal distribution and zoning of soil moisture in Shandong province
  • 作者:吴东丽 ; 李琪 ; 薛红喜 ; 沈超 ; 丁琦
  • 英文作者:WU Dong-li;LI Qi;XUE Hong-xi;SHEN Chao;DING Qi;China Meteorological Administration/Henan Key Laboratory of Agrometeorological Support and Applied Technique;Meteorological Observation Centre of China Meteorological Administration;Nanjing University of Information Science & Technology/Jiangsu Key Laboratory of Agricultural Meteorology;National Meteorological Center of China Meteorological Administration;
  • 关键词:土壤水分 ; 时空分布 ; 分区 ; K聚类
  • 英文关键词:soil moisture;;spatial and temporal distribution;;zoning;;K-means clustering
  • 中文刊名:江苏农业学报
  • 英文刊名:Jiangsu Journal of Agricultural Sciences
  • 机构:中国气象局/河南省农业气象保障与应用技术重点实验室;中国气象局气象探测中心;南京信息工程大学/江苏省农业气象重点实验室;中国气象局国家气象中心;
  • 出版日期:2019-07-15 13:35
  • 出版单位:江苏农业学报
  • 年:2019
  • 期:03
  • 基金:中国气象局农业气象保障与应用技术重点开放实验室开放研究基金项目(AMF201606);中国气象局气象探测中心生态环境观测技术创新团队资助项目;; 公益性行业(气象)科研专项(GYHY201506001)
  • 语种:中文;
  • 页:149-155
  • 页数:7
  • CN:32-1213/S
  • ISSN:1000-4440
  • 分类号:S152.7
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。
        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.
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