Literature DB >> 11916123

Kriging water levels with a regional-linear and point-logarithmic drift.

Matthew J Tonkin1, Steven P Larson.   

Abstract

Ground water levels measured in the vicinity of pumping wells are kriged using a regional-linear and point-logarithmic drift, the latter derived from the approximation to the Theis equation for drawdown in response to a pumping well. Kriging is widely used throughout the hydrogeologic discipline, most commonly as the preferred method for constructing gridded hydrogeologic datasets suitable for contouring. Residuals arising from using the most common (linear) drift to krige water levels in the vicinity of extraction wells often indicate large local departures from the linear drift, which correlate with areas of drawdown. The combined regional-linear and point-logarithmic drift accounts for these drawdowns using a logarithmic approximation for the curvature of the potentiometric surface. The drift model approximates the principal physical processes that govern ground water flow and ultimately govern the autocorrelation of ground water elevation data. This approach produces maps of contoured water levels that more realistically represent physical conditions and allow for improved interpretation of measured water-level data by including features and information known to be present. Additional benefits include an improved estimate of the regional (background) hydraulic gradient and generation of an approximately flow-conserved grid suitable for two-dimensional particle tracking.

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Year:  2002        PMID: 11916123     DOI: 10.1111/j.1745-6584.2002.tb02503.x

Source DB:  PubMed          Journal:  Ground Water        ISSN: 0017-467X            Impact factor:   2.671


  5 in total

1.  Comparison of stochastic and deterministic methods for mapping groundwater level spatial variability in sparsely monitored basins.

Authors:  Epsilon A Varouchakis; D T Hristopulos
Journal:  Environ Monit Assess       Date:  2012-02-08       Impact factor: 2.513

2.  Application and evaluation of kriging and cokriging methods on groundwater depth mapping.

Authors:  Seyed Hamid Ahmadi; Abbas Sedghamiz
Journal:  Environ Monit Assess       Date:  2007-05-25       Impact factor: 2.513

3.  Simulation of soil loss processes based on rainfall runoff and the time factor of governance in the Jialing River Watershed, China.

Authors:  Lei Wu; Tian-Yu Long; Xia Liu; Daniel Mmereki
Journal:  Environ Monit Assess       Date:  2011-07-15       Impact factor: 2.513

4.  Comparative performance of descriptors in a multiple linear and Kriging models: a case study on the acute toxicity of organic chemicals to algae.

Authors:  Gulcin Tugcu; H Birkan Yilmaz; Melek Türker Saçan
Journal:  Environ Sci Pollut Res Int       Date:  2014-06-21       Impact factor: 4.223

5.  Geostatistical analysis of spatial and temporal variations of groundwater level.

Authors:  Seyed Hamid Ahmadi; Abbas Sedghamiz
Journal:  Environ Monit Assess       Date:  2006-12-16       Impact factor: 3.307

  5 in total

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