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[1]XU Yi-he,WEI Xiao-mei,CAI Ming-ke,et al.Geostatistics-based Study of Spatial Variability of Groundwater Level in Baoji Urban Area[J].Research of Soil and Water Conservation,2011,18(01):210-214.

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Geostatistics-based Study of Spatial Variability of Groundwater Level in Baoji Urban Area

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 18 Number of periods: 2011 01 Page number: 210-214 Column: Public date: 2011-02-20

Title:: Geostatistics-based Study of Spatial Variability of Groundwater Level in Baoji Urban Area

Author(s):: XU Yi-he, WEI Xiao-mei, CAI Ming-ke, HU Guo-jie, XU Wan-lin; College of Water Resources and Architecture Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China

Keywords:: Baoji rural area; geostatistics; groundwater level; spatial-temporal variability; ArcGIS

CLC:: P641

DOI:: -

Abstract:: Using geographic information system software (ArcGIS), extracting a layer of the study area about 100 km² from the DEM data of Baoji city, selecting the groundwater level data of 24 monitoring wells in the year of 1990,1995,2000 and 2004 as the sample data, this paper made a research on the trend analysis, spatial variation analysis and spatial interpolation of the urban area groundwater level with geostatistics. The results showed that there was a clear ‘U’type trend in the north-south direction for the urban groundwater level, while the trend was not obvious in the east-west direction each year. Groundwater level was of moderate spatial correlation, more variation ingredients of the following scales in the 800 m short-range, poor spatial continuity each year and of short distance spatial autocorrelation. Anisotropy decreased from 0.713 in 1990 to 0.171 in 2004, which indicated a gradual increase of urban groundwater level spatial anisotropy. The cross validation of the spherical model turned to be good and the spatial interpolation showed that groundwater level and spatial distribution changed significantly between years in different parts of the study area as a result of the spatial-temporal exploitation intensity

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