ISSN 1000-3665 CN 11-2202/P
  • Included in Scopus
  • Included in DOAJ
  • Included in WJCI Report
  • Chinese Core Journals
  • The Key Magazine of China Technology
  • Included in CSCD
Wechat
SONGYa-xin, . Experimental research on spatial variability of soil water at large-field scale[J]. Hydrogeology & Engineering Geology, 2008, 35(2): 99-103.
Citation: SONGYa-xin, . Experimental research on spatial variability of soil water at large-field scale[J]. Hydrogeology & Engineering Geology, 2008, 35(2): 99-103.

Experimental research on spatial variability of soil water at large-field scale

More Information
  • In order to characterize the spatial variability of soil water content at large field-scale in a semi-arid zone, this paper analysed data of 6 layers in depth based on 105 profiles in the Qingshuihe Plain with classical statistics and geostatistic methods. Prominent differences exist in vertical distribution of soil water between rainfed farmland and irrigation field. For the same confidence level and precision, the reasonable sampling number of soil water content of the rainfed farmland is obviously much higher than that of irrigation field and sampling number of the deep layers is higher than that of the shallow layers at the same depth. Spatial relativity of regional soil water content is medium to weak, and high value area of soil water content is coincident with the irrigation area. The results show that in the semi-arid zone, irrigation is not a key factor influencing the spatial variability of soil water. The spatial variability of soil water of irrigation field is weaker than that of rainfed farmland, and the spatial variability of the shallow layers is weaker than that of the deep layers. The spatial distribution of soil water content is consistent with the farmland type.
  • Related Articles

    [1]LIU Yong, WEI Liangshuai, HUANG Anbang, PENG Bo, SHU Qinfeng. Spatial and temporal evolution of soil water and its response to the environment in the Yangtze River source area under climate change[J]. Hydrogeology & Engineering Geology, 2023, 50(5): 39-52. DOI: 10.16030/j.cnki.issn.1000-3665.202301034
    [2]WANG Jiling, ZHOU Weibo, SUN Lili, WANG Yimeng. Study on the spatial vriability of hydraulic conductivity of underground reservoir in Fuping section of Shichuan River[J]. Hydrogeology & Engineering Geology, 2023, 50(3): 34-43. DOI: 10.16030/j.cnki.issn.1000-3665.202206021
    [3]XU Buyun, YANG Huifeng, BAI Hua, SONG Bo, MENG Ruifang. Spatial variability of free porosity in the groundwater level fluctuation zone in the Baoding Plain area[J]. Hydrogeology & Engineering Geology, 2023, 50(3): 23-33. DOI: 10.16030/j.cnki.issn.1000-3665.202208004
    [4]GAO Jia, WANG Wenke, ZHAO Ming, MA Zhitong, HOU Xinyue, LI Wanxin. Spatial and temporal distribution characteristics of soil moisture in the non-freezing period under the bare land and vegetation cover in the Mu Us desert[J]. Hydrogeology & Engineering Geology, 2022, 49(6): 34-42. DOI: 10.16030/j.cnki.issn.1000-3665.202112005
    [5]CHANG Xing, LUO Qiankun, DENG Yaping, MA Lei, QIAN Jiazhong. Effects of spatial variability of fracture width and leakage conditions on the migration of DNAPLs in network fractures[J]. Hydrogeology & Engineering Geology, 2022, 49(3): 174-181. DOI: 10.16030/j.cnki.issn.1000-3665.202103055
    [6]WEI Yutao, LIU Deyu, ZHANG Wei, YU Shengbo, WU Yaokun. Characteristics and spatial variability of saline soil in desert-wet ecosystem area, Gansu Province, China[J]. Hydrogeology & Engineering Geology, 2020, 47(2): 183-190. DOI: 10.16030/j.cnki.issn.1000-3665.201906021
    [7]JIANGGuanghui, . Spatial variability of multi-tracers in groundwater contamination sites[J]. Hydrogeology & Engineering Geology, 2017, 44(2): 137-143.
    [8]LIUYong-sheng, . Investigation of soil region monitoring network optimized by spatial autocorrelation in the Baoding-Cangzhou area[J]. Hydrogeology & Engineering Geology, 2012, 39(5): 126-131.
    [9]CAOZhi-yang, . Spatial variability and distribution of fluorine contents in shallow groundwater in the Fengpei area,Jiangsu[J]. Hydrogeology & Engineering Geology, 2010, 37(3): 127-132.
    [10]LIULing-ling, . A comparative study of four geostatistical methods for identifying the hydraulic conductivity fields based on test data[J]. Hydrogeology & Engineering Geology, 2009, 36(5): 66-71.

Catalog

    Article views (951) PDF downloads (405) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return