Literature DB >> 17180432

Geostatistical analysis of spatial and temporal variations of groundwater level.

Seyed Hamid Ahmadi1, Abbas Sedghamiz.   

Abstract

Groundwater and water resources management plays a key role in conserving the sustainable conditions in arid and semi-arid regions. Applying management tools which can reveal the critical and hot conditions seems necessary due to some limitations such as labor and funding. In this study, spatial and temporal analysis of monthly groundwater level fluctuations of 39 piezometric wells monitored during 12 years was carried out. Geostatistics which has been introduced as a management and decision tool by many researchers has been applied to reveal the spatial and temporal structure of groundwater level fluctuation. Results showed that a strong spatial and temporal structure existed for groundwater level fluctuations due to very low nugget effects. Spatial analysis showed a strong structure of groundwater level drop across the study area and temporal analysis showed that groundwater level fluctuations have temporal structure. On average, the range of variograms for spatial and temporal analysis was about 9.7 km and 7.2 months, respectively. Ordinary and universal kriging methods with cross-validation were applied to assess the accuracy of the chosen variograms in estimation of the groundwater level drop and groundwater level fluctuations for spatial and temporal scales, respectively. Results of ordinary and universal krigings revealed that groundwater level drop and groundwater level fluctuations were underestimated by 3% and 6% for spatial and temporal analysis, respectively, which are very low and acceptable errors and support the unbiasedness hypothesis of kriging. Although, our results demonstrated that spatial structure was a little bit stronger than temporal structure, however, estimation of groundwater level drop and groundwater level fluctuations could be performed with low uncertainty in both space and time scales. Moreover, the results showed that kriging is a beneficial and capable tool for detecting those critical regions where need more attentions for sustainable use of groundwater. Regions in which were detected as critical areas need to be much more managed for using the current water resources efficiently. Conducting water harvesting systems especially in critical and hot areas in order to recharge the groundwater, and altering the current cropping pattern to another one that need less water requirement and applying modern irrigation techniques are highly recommended; otherwise, it is most likely that in a few years no more crop would be cultivated.

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Year:  2006        PMID: 17180432     DOI: 10.1007/s10661-006-9361-z

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   3.307


  3 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

  3 in total
  16 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.  Groundwater levels time series sensitivity to pluviometry and air temperature: a geostatistical approach to Sfax region, Tunisia.

Authors:  Ibtissem Triki; Nadia Trabelsi; Imen Hentati; Moncef Zairi
Journal:  Environ Monit Assess       Date:  2013-10-19       Impact factor: 2.513

4.  Groundwater depth and elevation interpolation by kriging methods in Mohr Basin of Fars province in Iran.

Authors:  Leila Nikroo; Mazda Kompani-Zare; Ali Reza Sepaskhah; Seyed Rashid Fallah Shamsi
Journal:  Environ Monit Assess       Date:  2009-06-17       Impact factor: 2.513

5.  Hydrogeochemical tracing of mineral water in Jingyu County, Northeast China.

Authors:  Baizhong Yan; Changlai Xiao; Xiujuan Liang; Shili Wu
Journal:  Environ Geochem Health       Date:  2015-06-04       Impact factor: 4.609

6.  The backend design of an environmental monitoring system upon real-time prediction of groundwater level fluctuation under the hillslope.

Authors:  Hsueh-Chun Lin; Yao-Ming Hong; Yao-Chiang Kan
Journal:  Environ Monit Assess       Date:  2011-03-17       Impact factor: 2.513

7.  Geostatistics-based groundwater-level monitoring network design and its application to the Upper Floridan aquifer, USA.

Authors:  Shirish Bhat; Louis H Motz; Chandra Pathak; Laura Kuebler
Journal:  Environ Monit Assess       Date:  2014-12-01       Impact factor: 2.513

8.  Effects of human activities and climate variability on water resources in the Saveh plain, Iran.

Authors:  M Mohammadi Ghaleni; K Ebrahimi
Journal:  Environ Monit Assess       Date:  2015-01-30       Impact factor: 2.513

9.  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

10.  The geostatistic-based spatial distribution variations of soil salts under long-term wastewater irrigation.

Authors:  Wenyong Wu; Shiyang Yin; Honglu Liu; Yong Niu; Zhe Bao
Journal:  Environ Monit Assess       Date:  2014-08-17       Impact factor: 2.513

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