[1]ÎⶫÀö,Àîç÷,Ѧºìϲ,µÈ.ɽ¶«Ê¡ÍÁÈÀË®·Öʱ¿Õ·Ö²¼¹æÂɼ°·ÖÇø[J].½­ËÕũҵѧ±¨,2019,(03):639-645.[doi:doi:10.3969/j.issn.1000-4440.2019.03.019]
¡¡WU Dong-li,LI Qi,XUE Hong-xi,et al.Spatial and temporal distribution and zoning of soil moisture in Shandong province[J].,2019,(03):639-645.[doi:doi:10.3969/j.issn.1000-4440.2019.03.019]
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2019Äê03ÆÚ
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639-645
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2019-06-30

ÎÄÕÂÐÅÏ¢/Info

Title:
Spatial and temporal distribution and zoning of soil moisture in Shandong province
×÷Õß:
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£¨1.ÖйúÆøÏó¾Ö/ºÓÄÏÊ¡Å©ÒµÆøÏó±£ÕÏÓëÓ¦Óü¼ÊõÖصãʵÑéÊÒ£¬ºÓÄÏÖ£ÖÝ450003£»2.ÖйúÆøÏó¾ÖÆøÏó̽²âÖÐÐÄ£¬±±¾©100081£»3.ÄϾ©ÐÅÏ¢¹¤³Ì´óѧ/½­ËÕÊ¡Å©ÒµÆøÏóÖصãʵÑéÊÒ£¬½­ËÕÄϾ©210044£»4.ÖйúÆøÏó¾Ö¹ú¼ÒÆøÏóÖÐÐÄ£¬±±¾©100081£©
Author(s):
WU Dong-li12LI Qi3XUE Hong-xi4SHEN Chao12DING Qi3
(1.China Meteorological Administration/Henan Key Laboratory of Agrometeorological Support and Applied Technique, Zhengzhou 450003, China;2.Meteorological Observation Centre of China Meteorological Administration, Beijing 100081, China;3.Nanjing University of Information Science & Technology/Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing 210044, China;4.National Meteorological Center of China Meteorological Administration, Beijing 100081, China)
¹Ø¼ü´Ê:
ÍÁÈÀË®·Öʱ¿Õ·Ö²¼·ÖÇøK¾ÛÀà
Keywords:
soil moisturespatial and temporal distributionzoningKª²means clustering
·ÖÀàºÅ:
F319.9
DOI:
doi:10.3969/j.issn.1000-4440.2019.03.019
ÎÄÏ×±êÖ¾Âë:
A
ÕªÒª:
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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 Kª²means 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 Kª²means clustering method, the Shandong province could be classified into four regions distributing in an eastª²west direction.

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