Abstract
A brief review of approaches to the design of subsurface water quality monitoring networks is presented. A theoretical discussion about methods to estimate parameters related to information based design approaches is presented. A hypothetical problem is then constructed to analyze the effect that different estimation procedures have on extending the design of a monitoring network. Results of this analysis indicate that although different parametric estimation procedures can produce significantly different parameter estimates, the resulting monitoring network design will be relatively unaffected.
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References
Loaiciga, H. A., R. J. Charbeneau, L. G. Everett, G. E. Fogg, B. F. Hobbs, and S. Rouhani: Review of ground-water quality monitoring network design. J. Hydraul. Engr., 118 (1992), 11ā37.
Everett, L. G.: Ground Water Monitoring, General Electric Company, Schenectady, New York 1980.
U.S. Environmental Protection Agency: Ground Water Monitoring Technical Enforcement Guidance Document, Office of Solid Waste and Emergency Response, Washington, D.C. 1986.
Gilbert, R. O.: Statistical Methods for Environmental Pollution Monitoring, Van-Nostrand-Reinhold Co., New York, NY 1987.
Ahfeld, D. P. and G. F. Pinder: A Ground Water Monitoring Network Design Algorithm, Report 87-WR-4, Department of Civil Engineering and Operations Research, Princeton, New Jersey 1988.
Hsueh, Y. W., and R. Rajagopal: Modeling ground water quality decisions, Ground Water Monitoring Review, Fall, 121ā134 (1988).
Knopman, D. S., and C. J. Voss: Discrimination among one-dimensional models of solute transport in porous media: Implications for sampling design, Water Resour. Res., 24 (1988), 1859ā1876.
Hudak, P. F., H. A. Loaiciga, and M. A. Marino: Regional Scale Ground Water Quality Monitoring: Methods and Case Studies, California Water Resources Center, University of California, Contribution 203 1993.
Aboufirassi, M., and M. A. Marino: Krigin of water levels in the Souss Aquifer, Morocco, Math. Geol., 15 (1983), 537ā551.
Aboufirassi, M. and M. A. Marino: Cokriging of aquifer transmissivities from field measurements of transmissivity and specific capacity, Math. Geol., 16 (1994), 19ā35.
Rouhani, S.: Variance reduction analysis, Water Resour. Res., 21 (1985), 837ā845.
Ben-Jemaa, F., M. A. Marino, and H. A, Loaiciga: Multivariate geostatistical design of ground water monitoring networks, J. of Water Resour. Plan. and Manag., ASCE, 120 (1994), 505ā522.
Matheron, G.: The intrinsic random function and their applications, Adv. Appl. Prob., 5 (1973), 539ā568.
Journel, A. and Huijbregts, C.: Mining Geostatistics, Academic Press, New York, NY 1978.
Sadeghipour, J. and W. W-G. Yeh: Parameter identification of ground water aquifer models: A generalized least squares approach, Water Resour. Res., 20 (1984), 971ā979.
Carrera, J. and S. P. Neuman: Estimation of aquifer parameters under transient and steady-state conditions: 1. Maximum likelihood method incorporating prior information, Water Resour. Res., 22 (1986), 199ā210.
Loaiciga, H. A. and M. A. Marino: The inverse problem for confined aquifer flow identification and estimation with extensions, Water Resour. Res., 23 (1987), 92ā104.
Starks, T. and J. Fang: The effect of drift on the experimental semivariogram, J. Int. Assoc. Math. Geol., 14 (1982), 309ā319.
Kitanidis, P.: Statistical estimation of polynomial generalized covariance functions and hydrologic applications, Water Resour. Res., 19 (1983), 909ā921.
Kitanidis, P. and W. Lane: Maximum likelihood parameter estimation of hydrologic spatial processes by the Gauss-Newton method, J. Hydrol., 79 (1985), 53ā71.
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Ā© 1995 Springer-Verlag Wien
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Tracy, J.C., Van Lent, T.J., MariƱo, M.A. (1995). Design of Ground Water Monitoring Quality Networks. In: Gambolati, G., Verri, G. (eds) Advanced Methods for Groundwater Pollution Control. International Centre for Mechanical Sciences, vol 364. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2696-7_12
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DOI: https://doi.org/10.1007/978-3-7091-2696-7_12
Publisher Name: Springer, Vienna
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