Skip to main content

Advertisement

Log in

An efficient methodology to design optimal groundwater level monitoring network in Al-Buraimi region, Oman

  • Original Paper
  • Published:
Arabian Journal of Geosciences Aims and scope Submit manuscript

Abstract

Designing an optimal groundwater level monitoring network (GLMN) is a major challenge and one of the primary goals of groundwater management. This paper proposes a methodology that incorporates comparative analysis of IDW, spline, ordinary kriging (OKrig), and empirical Bayesian kriging (EBK) interpolation methods with “1-fold cross-validation” technique for the regionalization and redesigning of the existing GLMN in an arid hardrock-alluvium Al-Buraimi region, Oman-UAE border. The performance indicators (weighted RMSE = 10.84 m and weighted R 2 = 0.79) show the superiority of the EBK interpolation method over other methods and reveal reasonably accurate results when applied in areas with sparse and scarce observation wells. A new GLMN is proposed with regard to the results of the EBK method in which the idea of a “secondary observation network” is presented to reduce time and cost needed for groundwater level measurements. The proposed GLMN consists of 14 new observation wells added to 39 existing wells in order to provide better quality data compared to the current GLMN. The procedure used herein provides a practical and straightforward method to regionalize groundwater level variations and redesign the GLMN in regions with complex hardrock-alluvium geological setting.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • Ahmadi SH, Sedghamiz A (2008) Application and evaluation of kriging and co-kriging methods on groundwater depth mapping. Journal of Environmental Monitoring and Assessment 138:357–368

    Article  Google Scholar 

  • Ahmadian M, Chavoshian M (2012) Spatial variability zonation of groundwater-table by use geo-statistical methods in central region of Hamadan province. Journal of Annals of Biological Research 3(11):5304–5312

    Google Scholar 

  • Ahmed S (2002) Groundwater monitoring network design: application of Geostatistics with a few case studies from a granitic aquifer in a semi-arid region. In: Sherif MM, Singh VP, Al-Rashed M (eds) Journal of groundwater hydrology, vol 2. Balkema, Tokyo, pp 37–57

    Google Scholar 

  • Bailey R T (2012) Regional selenium cycling in an irrigated agricultural groundwater system: conceptualization, modeling, and mitigation. Ph.D. Thesis, Colorado State University, 587 pages

  • Buchanan SM, Triantafilis J (2009) Mapping water table depth using geophysical and environmental variables. Ground Water 47:80–96

    Article  Google Scholar 

  • Burns MJ II (2013) Texas groundwater ArcGIS map creation for cloud-based water level mapping utility implementation including testing of water level time series interpolator. Brigham Young University, Doctoral dissertation

    Google Scholar 

  • Caruso C, Quarta F (1998) Interpolation methods comparison. Journal of Computers & Mathematics with Applications 35(12):109–126

    Article  Google Scholar 

  • Chiles JP, Delfiner P (2009) Geostatistics: modeling spatial uncertainty, vol 497. John Wiley & Sons, Inc, New York

    Google Scholar 

  • Daniels WL, Cummings A, Schmidt M, Fomchenko N, Speiran G, Focazio M, Fitch GM (2000) Evaluation of methods to calculate a wetlands water balance. Report No VTRC:01–CR1

  • Davison W D (1982) Results of test drilling in the Buraimi area, Sultanate of Oman. Public Authority for Water Resources (PAWR), Sultanate of Oman, Water Supply Paper 1

  • Demir Y, Ersahin S, Güler M, Cemek B, Günal H, Arslan H (2008) Spatial variability of depth and salinity of groundwater under irrigated ustifluvents in the Middle Black Sea Region of Turkey. Journal of Environmental Monitoring and Assessment 158(1–4):279–294

    Google Scholar 

  • Denver J M (1993) Herbicides in shallow ground water at two agricultural sites in Delaware. University of Delaware. Report of investigations NO. 51

  • Desbarats AJ, Logan CE, Hinton ML, Sharpe DR (2002) On the kriging of water table elevations using collateral information from a digital elevation model. J Hydrol 255:25–38

    Article  Google Scholar 

  • Eni DI, Ubi AE, Digha N (2014) Vulnerability assessment of boreholes located close to Lemna landfill in Calabar metropolis, Nigeria. Journal of Physical and Human Geography 2(2):6–15

    Google Scholar 

  • Fahid KJ, Rabah SM, Ghabayen A, Salha A (2011) Effect of GIS interpolation techniques on the accuracy of the spatial representation of groundwater monitoring data in Gaza strip. J Environ Sci Technol 4:579–589

    Article  Google Scholar 

  • Foster S, Hirata R, Gomes D, D’Elia M, Paris M (2002) Groundwater quality protection: a guide for water utilities, municipal authorities, and environment agencies. World Bank, Washington, DC

    Book  Google Scholar 

  • Franke R (1982) Smooth interpolation of scattered data by local thin plate splines. Computer and Mathematics with Applications 8(4):273–281

    Article  Google Scholar 

  • Goovaerts P (1997) Geostatistics for natural resources evaluation. Oxford University Press, New York

    Google Scholar 

  • Healy RW, Cook PG (2002) Using groundwater levels to estimate recharge. Hydrogeol J 10(1):91–109

    Article  Google Scholar 

  • Hoeksema RJ, Clapp RB, Thomas AL, Hunley AE, Farrow ND, Dearstone KC (1989) Cokriging model for estimation of water table elevation. Water Resour Res 25:429–438

    Article  Google Scholar 

  • Izady A, Davary K, Alizadeh A, Ziaei AN, Akhavan S, Alipoor A, Joodavi A, Brusseau ML (2015) Groundwater conceptualization and modeling using distributed SWAT-based recharge for the semi-arid agricultural Neishaboor plain, Iran. Hydrogeol J 23(1):47–68. doi:10.1007/s10040-014-1219-9

    Article  Google Scholar 

  • Johnston K, Ver Hoef J M, Krivoruchko K, Lucas N (2003) Using ArcGIS Geostatistical Analyst (ESRI Userbook)

  • Kaczmarek M B (1988) Hydrogeology and groundwater availability Buraimi production well-field, Part I—Final report. Director General Water, water projects, Hydrogeology Section, Sultanate of Oman

  • Kaczmarek MB, Brook M, Haig T, Read RE, George D (1993a) Water resources assessment and hydrogeology of wadi Safwan and wadi Sharm, Northern Oman. Ministry of Water Resources, Sultanate of Oman

    Google Scholar 

  • Kaczmarek MB, Brook M, Haig T, Read RE, George D (1993b) Water resources assessment and hydrogeology of the Mahdah watershed, Northern Oman. Ministry of Water Resources, Sultanate of Oman

    Google Scholar 

  • Kaczmarek MB, Brook M, Haig T, Read RE, George D (1993c) Water resources assessment and hydrogeology of the Zarub Gap watershed, wadi Musayliq and wadi Al Ayn, Northern Oman. Ministry of Water Resources, Sultanate of Oman

    Google Scholar 

  • Kambhammettu BVNP, Allena P, King JP (2011) Application and evaluation of universal kriging for optimal contouring of groundwater levels. Journal of Earth System Science 120:413–422

    Article  Google Scholar 

  • Kamińska A, Grzywna A (2014) Comparison of deterministic interpolation methods for the estimation of groundwater level. Journal of Ecological Engineering 15(4):55–60

    Google Scholar 

  • Machiwal D, Mishra A, Jha MK, Sharma A, Sisodia SS (2012) Modeling short-term spatial and temporal variability of groundwater level using geostatistics and GIS. Journal of Natural Resource Research 21(1):117–136

    Article  Google Scholar 

  • Martin N (2005) Development of a water balance for the Atankwidi catchment, West Africa—a case study of groundwater recharge in a semi-arid climate. Doctoral thesis. University of Göttingen

  • Mini PK, Singh DK, Sarangi A (2014) Spatio-temporal variability analysis of groundwater level in coastal aquifers using geostatistics. International Journal of Environmental Research and Development 4(4):329–336

    Google Scholar 

  • Mitas L, Mitasova H (1988) General variational approach to the interpolation problem. Computer and Mathematics with Applications 16(12):983–992

    Article  Google Scholar 

  • MRMWR: Ministry of Regional Municipalities and Water Resources (2004) Consultancy for drilling and aquifer testing program of Buraimi at Ad Dhairah Region. Ministry of Regional Municipalities, Environment and Water Resources, Sultanate of Oman

    Google Scholar 

  • Munch Z (2004) Assessment of GIS-interpolation techniques for groundwater evaluation: a case study of the Sandveld, Western Cape, South Africa. MSc Thesis, University of Stellenbosch

  • Murashige JAE, Pucci AA (1987) Application of universal kriging to an aquifer study in New Jersey. Ground Water 25:672–667

    Article  Google Scholar 

  • Nikroo L, Kompani-Zare M, Sepaskhah A, Fallah Shamsi SR (2009) Groundwater depth and elevation interpolation by kriging methods in Mohr Basin of Fars province in Iran. Journal of Environmental Monitoring Assessments 166(1–4):387–407

    Google Scholar 

  • Onanda M, Price V, Jolley T, Stuck A, Hall R (2013) Water balance computation for the Sultanate of Oman. Final Report. Ministry of Regional Municipalities and Water Resources, Sultanate of Oman

    Google Scholar 

  • Pilz J, Spöck G (2008) Why do we need and how should we implement Bayesian kriging methods. Stoch Env Res Risk A 22(5):621–632

    Article  Google Scholar 

  • Sadat Noori SM, Ebrahimi K, Liaghat AM, Hoorfar AH (2013) Comparison of different geostatistical methods to estimate groundwater level at different climatic periods. Water and Environment Journal 27(1):10–19

    Article  Google Scholar 

  • Salah H (2009) Geostatistical analysis of groundwater levels in the south Al Jabal Al Akhdar area using GIS. Ostrava 1:25–28

    Google Scholar 

  • Sandwidi W J P (2007) Groundwater potential to supply population demand within the Kompienga dam basin in Burkina Faso. PhD Thesis. Ecology and Development Series, No. 54. Cuvillier Verlag Göttingen, 160 pp

  • Serrano L, Serrano L (1996) Influence of groundwater exploitation for urban water supply on temporary ponds from the Doñana National Park (SW Spain). J Environ Manag 46(3):229–238

    Article  Google Scholar 

  • Sophocleous M, Paschetto JE, Olea A (1982) Ground water network design for northwest Kansas, using the theory of regionalized variables. Ground Water 20:48–58

    Article  Google Scholar 

  • Sophocleous M, Townsend MA, Orountiotis C, Evenson RA, Whittemore DO, Watts CE, Marks ET (1990) Movement and aquifer contamination potential of atrazine and inorganic chemicals in central Kansas cropland: Kansas geological survey. Ground Water Series 12:64

    Google Scholar 

  • Sun Y, Kang S, Li F, Zhang L (2009) Comparison of interpolation methods for depth to groundwater and its temporal and spatial variations in the Minqin oasis of northwest China. Journal of Environmental Modelling & Software 24:1163–1170

    Article  Google Scholar 

  • Turner W R, Forbes A S, Rapp J R (1986) Groundwater Resources of the Wadi Safwan Area. Public Authority for Water Resources (PAWR), Sultanate of Oman, Report: PAWR I-86-9

  • Urquhart EA, Hoffman MJ, Murphy RR, Zaitchik BF (2013) Geospatial interpolation of MODIS-derived salinity and temperature in the Chesapeake Bay. Journal of Remote Sensing of Environment 135:167–177

    Article  Google Scholar 

  • Yao I, Huo Z, Feng S, Mao X, Kang S, Chen J, Xu J, Steenhuis TS (2013) Evaluation of spatial interpolation methods for groundwater level in an arid inland oasis, northwest China. Journal of Environmental Earth Sciences 71(4):1911–1924

    Article  Google Scholar 

  • Zedek R A A (2014) Geostatistical analysis of the Gorran water protection area in Nynäshamn municipality. MSc Thesis, Stockhol University, Stockholm—SWEDEN

Download references

Acknowledgements

Authors would like to thank the Sultan Qaboos University (SQU) for the financial support under grant # CL/SQU-UAEU/14/04. Thanks are due to the Ministry of Regional Municipalities and Water Resources for providing the data.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to O. Abdalla.

Electronic supplementary material

ESM 1

(PDF 1365 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Izady, A., Abdalla, O., Ahmadi, T. et al. An efficient methodology to design optimal groundwater level monitoring network in Al-Buraimi region, Oman. Arab J Geosci 10, 26 (2017). https://doi.org/10.1007/s12517-016-2802-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12517-016-2802-2

Keywords

Navigation