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Several Problems Of Applying Geostatistic For The Study On Spatial Variability Of Hydrogeologic Parameters

Posted on:2008-10-19Degree:MasterType:Thesis
Country:ChinaCandidate:L WangFull Text:PDF
GTID:2120360218459638Subject:Hydrology and water resources
Abstract/Summary:PDF Full Text Request
The hydrogeologic parameters are the important parameters of the ground water resources assessment numerical modeling identificationon,inspection and prediction. However it's temporal and spatial variability is very high as infected by the hydrogeologic condition and exploitation, so the study of spatial variability on hydrogeologic parameters is very important for increase the precision of the ground water resources assessment.This paper is supported by the project of"A study of Scientific Allocation of Water Resources for Vegetation Construction in The Sandy Area Between Beijing and Inner Mongolia", discussing several problems of applying geostatistic for the study on spatial variability of hydrogeologic parameters, and using the Ordinary Kriging method,Universal Kriging method,Cokriging method and Co-Universal Kriging method to study the spatial variability of hydrogeologic parameters in the study region on the basis of the above result.The main contents of the paper are as follows:(1) The choice of the large scale,non-linear and unequidistant sampling net.(2) The study on the spatial correlation of the regionalized variable and coregionalized variable.(3) The relation between the lag distance and the reasonable number of data pair when calculating the experimental variogram in the large scale,non-linear and unequidistant sampling net.(4) The obtain of the variogram of nonstationary regionalized variable.(5) The study on the method of obtaining the robust variogram.(6) The obtain and affirmance of the theoretical variogram.(7) The example of applying Ordinary Kriging method,Universal Kriging method,Cokriging method and Co-Universal Kriging method to study the spatial variability of hydrogeologic parameters.
Keywords/Search Tags:Kriging method, Spatial correlation, Hydrogeologic parameters, Spatial variability
PDF Full Text Request
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