Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Application of Kriging Techniques in Groundwater Hydrology


Affiliations
1 Paris School of Mines, Fontainebleau, France
     

   Subscribe/Renew Journal


Many common parameters of groundwater hydrology are found to be "regionalized variables", i.e. they are highly variable but exhibit a certain spatial structure. Geostatistics, which has been developed for the estimation of the grade of ore bodies, is found to be equally applicable to groundwater problems as well.

The basic principles of a geostatistical estimation are outlined, and the usual kriging equations given. The extension of kriging to multivarliate problems is also described. An example is given of the use of these methods for the estimation of the transmissivity using a limited number of observations, both pumping test and specific capacity data. The study was carried out on the chalk aquifer (3000 km2) lying partly in northern France and partly in western Belgium. Both values of transmissivity (72 data points) and specific capacity (235 data points) show a log-normal distribution. All the three methods of cokriging, kriging combined wlth linear regression and kriging with the mean as a function of another variable yielded same results for the transmissivity values estimated.


Subscription Login to verify subscription
User
Notifications
Font Size

Abstract Views: 193

PDF Views: 2




  • Application of Kriging Techniques in Groundwater Hydrology

Abstract Views: 193  |  PDF Views: 2

Authors

Ghislain de Marsily
Paris School of Mines, Fontainebleau, France
Shakeel Ahmed
Paris School of Mines, Fontainebleau, France

Abstract


Many common parameters of groundwater hydrology are found to be "regionalized variables", i.e. they are highly variable but exhibit a certain spatial structure. Geostatistics, which has been developed for the estimation of the grade of ore bodies, is found to be equally applicable to groundwater problems as well.

The basic principles of a geostatistical estimation are outlined, and the usual kriging equations given. The extension of kriging to multivarliate problems is also described. An example is given of the use of these methods for the estimation of the transmissivity using a limited number of observations, both pumping test and specific capacity data. The study was carried out on the chalk aquifer (3000 km2) lying partly in northern France and partly in western Belgium. Both values of transmissivity (72 data points) and specific capacity (235 data points) show a log-normal distribution. All the three methods of cokriging, kriging combined wlth linear regression and kriging with the mean as a function of another variable yielded same results for the transmissivity values estimated.