Literature DB >> 17525831

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

Seyed Hamid Ahmadi1, Abbas Sedghamiz.   

Abstract

Groundwater and water resources management play a key role in conserving the sustainable conditions in arid and semi-arid regions. Applying some techniques that can reveal the critical and hot conditions of water resources seem necessary. In this study, kriging and cokriging methods were evaluated for mapping the groundwater depth across a plain in which has experienced different climatic conditions (dry, wet, and normal) and consequently high variations in groundwater depth in a 12 year led in maximum, minimum, and mean depths. During this period groundwater depth has considerable fluctuations. Results obtained from geostatistical analysis showed that groundwater depth varies spatially in different climatic conditions. Furthermore, the calculated RMSE showed that cokriging approach was more accurate than kriging in mapping the groundwater depth though there was not a distinct difference. As a whole, kriging underestimated the real groundwater depth for dry, wet, and normal conditions by 5.5, 2.2, and 5.3%, while cokriging underestimations were 3.3, 2, and 2.2%, respectively; which showed the unbiasedness in estimations. Results implied that in the study area farming and cultivation in dry conditions needs more attention due to higher variability in groundwater depth in short distances compared to the other climate conditions. It is believed that geostatistical approaches are reliable tools for water resources managers and water authorities to allocate groundwater resources in different environmental conditions.

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Year:  2007        PMID: 17525831     DOI: 10.1007/s10661-007-9803-2

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  4 in total

1.  The value of long-term ground water level monitoring.

Authors:  W M Alley; C J Taylor
Journal:  Ground Water       Date:  2001 Nov-Dec       Impact factor: 2.671

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

Authors:  Matthew J Tonkin; Steven P Larson
Journal:  Ground Water       Date:  2002 Mar-Apr       Impact factor: 2.671

3.  Time series analysis to monitor and assess water resources: a moving average approach.

Authors:  Rajesh Reghunath; T R Sreedhara Murthy; B R Raghavan
Journal:  Environ Monit Assess       Date:  2005-10       Impact factor: 2.513

4.  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

  4 in total
  2 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.  A geostatistical methodology for the optimal design of space-time hydraulic head monitoring networks and its application to the Valle de Querétaro aquifer.

Authors:  H E Júnez-Ferreira; G S Herrera
Journal:  Environ Monit Assess       Date:  2012-08-31       Impact factor: 2.513

  2 in total

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