Skip to main content
Log in

Cost-effective network design for groundwater flow monitoring

  • Originals
  • Published:
Stochastic Hydrology and Hydraulics Aims and scope Submit manuscript

Abstract

The extensive use of groundwater resources has increased the need for developing cost-effective monitoring networks to provide an indication of the degree to which the subsurface environment has been affected by human activities. This study presents a cost-effective approach to the design of groundwater flow monitoring networks. The groundwater network design is formulated with two problem formats: maximizing the statistical monitoring power for specified budget constraint and minimizing monitoring cost for statistical power requirement. The statistical monitoring power constraint is introduced with an information reliability threshold value. A branch and bound technique is employed to select the optimal solution from a discrete set of possible network alternatives. The method is tested to the design of groundwater flow monitoring problem in the Pomona County, California.

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.

Similar content being viewed by others

References

  • Ababou, R.; Gelhar. L. W.; McLaughlin, D. 1988: Three dimensional flow in random porous media, Technical Report No. 318, Ralph. M. Parson Laboratory, MIT.

  • Andricevic, R. 1989: Groundwater monitoring network: Analysis and design, Project Report #294, St. Anthony Falls Hydraulic Laboratory, University of Minnesota, June.

  • Bras, R.L. 1978: Sampling network design in hydrology and water quality sampling. Applications of Kalman filter to hydrology, hydraulics and water resources (ed. Chao-lin Chui). Proceedings of AGU Chapman Conference May 22–24, Pittsburgh, 155–200.

  • Canonie Environmental Services Corp. Summary report. 1988: Phase III activities Xerox Corporation Pomona facility, San Mateo.

  • Carrera, J.; Usunoff, E.; Szidarovszky, F. 1984: A method for optimal observation network design for groundwater management. J. Hydrology, 73, 147–163.

    Google Scholar 

  • Fletcher, R. 1987: Practical Methods of Optimization, John Wiley, Chichester, England.

    Google Scholar 

  • Hoeksema, R.; Kitanidis, P.K. 1985: Analysis of the spatial structure of properties of selected aquifers, Water Resour. Res. 21, 563–572.

    Google Scholar 

  • Hsu, N.S.; Yeh, W. 1989: Optimum experimental design for parameter identification in groundwater hydrology, Water Resour. Res., 25, 1025–1041

    Google Scholar 

  • Hsueh, Y.W.; Rajagopal, R. 1988: Modeling groundwater quality sampling decisions, Ground Water Monitoring Review, 121–134.

  • Kalman, R.E. 1960: A new approach to linear filtering and prediction problems, J. Basic Eng., 82(2), 35–45.

    Google Scholar 

  • Lettenmaier, D.P. 1979: Dimensionality problems in water quality network design, Water Resour. Res., 15, 1962–1700.

    Google Scholar 

  • Loaiciga, H.; Marino, M.A. 1987: The inverse problem in confined aquifer: Identification and estimation with extensions, Water Resour. Res., 23, 92–104.

    Google Scholar 

  • Loaiciga, H. 1989: An optimization approach for groundwater quality monitoring network design, Water Resour. Res. 25, 1771–1782.

    Google Scholar 

  • Massmann, J.; Freeze, R.A. 1987: Groundwater contamination from waste management sites: the interaction between risk-based engineering design and regulatory policy, Water Resour. Res., 23, 351–367.

    Google Scholar 

  • McLaughling, D.B. 1978: Potential applications of Kalman Filter Concepts to Groundwater Basis Management, in: Applications of Kalman filter to hydrology, hydraulics and water resources (ed. Chao-lin Chui). Proceedings of AGU Chapman, Conference May 22–24, Pittsburgh, 155–200.

  • Meyer, P.D.; Brill, E.D. 1988: A method for locating wells in a groundwater monitoring network under uncertainty, Water Resour. Res., 24, 1277–1282.

    Google Scholar 

  • Moss, M.E. 1979: Space, time and third Dimension (model eror), Water Resour. Res., 15, 1797–1800.

    Google Scholar 

  • Moss, M.E.; Gilroy, E.J. 1980: Cost-effective stream gaging strategies for the lower Colorado river basin, U.S. Geological Survey Open-File Report 80-1048.

  • Palmer, R.N.; MacKenzie, M.C. 1985: Optimization of water quality monitoring networks, Journal of Water Resources Planning and management, 114(4) 478–493.

    Google Scholar 

  • Rouhani, S. 1985: Variance-reduction analysis, Water Resour. Res., 21, 837–846.

    Google Scholar 

  • Sudicky, E.A. 1986: A natural gradient experiment on solute transport in a sand aquifer: Spatial variability of hydraulic conductivity and its role in the dispersion process, Water Resour. Res. 22, 2069–2082.

    Google Scholar 

  • Szidarovszky, F. 1982: Multiobjective observation network design for regionalized variables, at Soc. Ind. Appl. Math. (S.I.A.M.) 30th Anniv. Meet., Stanford, California.

  • Tompson, A.F.B.; Ababou, R.; Gelhar, L.W. 1987: Application and use of the three-dimensional turning band random field generator in hydrology: Single realization problems Tech. Report # 313, Parsons Laboratory, MIT Cambridge, MA.

    Google Scholar 

  • Townley, L.; Wilson, J. 1985: Computationally efficient algorithms for parameter estimation and uncertainty progagation in numerical models of groundwater flow, Water Resour. Res. 21, 1851–1860.

    Google Scholar 

  • Geer, F.C. van 1987: Application of Kalman filtering in the analysis and design of groundwater monitoring network, Tech. Report PN 87-05, TNO-DGV Institute of Applied Geoscience.

  • Willis, R.; Yeh, W. 1987: Groundwater systems planning and management, Prantice-Hall, Inc., Englewood Clifs, N.J.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Andricevic, R. Cost-effective network design for groundwater flow monitoring. Stochastic Hydrol Hydraul 4, 27–41 (1990). https://doi.org/10.1007/BF01547730

Download citation

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01547730

Key words

Navigation