Analysis of Statistical Monitoring Network Design
Publication: Journal of Water Resources Planning and Management
Volume 113, Issue 5
Abstract
The need to detect anthropogenic impacts in the natural environment has increased interest in the design of cost‐effective environmental monitoring networks. A variety of statistical models have been proposed for this purpose. This paper examines four statistical models, with varying degrees of complexity, used to represent the underlying characteristics of potential impacts. The models are incorporated into an optimization procedure used to select cost‐effective designs. Aquatic monitoring data from a nuclear power plant are used to test the robustness of the statistical models, analyze their sensitivity to input parameters, and determine the circumstances that require the use of more complex statistical models to design effective monitoring programs.
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References
1.
Chamberlain, S. G., et al., “Quantitative Methods for Preliminary Design of Water Quality Surveillance Systems,” Water Resources Bulletin, Vol. 10, No. 2, 1974, pp. 199–219.
2.
Green, H. R., Sampling Design and Statistical Methods for Environmental Biologists, John Wiley and Sons, Inc., New York, N.Y., 1979.
3.
Heidtke, T. M., and Armstrong, J. M., “Probabilistic Sampling Model for Water Quality Management,” Journal Water Pollution Control Federation, Vol. 51, No. 12, 1979, pp. 2916–2927.
4.
Lettenmaier, D. P., “Design Considerations for Ambient Stream Quality Monitoring,” Water Resources Bulletin, Vol. 14, No. 4, 1978, pp. 884–902.
5.
Loftis, J. C., and Ward, R. C., “Water Quality Monitoring—Some Practical Sampling Frequency Considerations,” Environmental Management, Vol. 4, No. 6, 1980, pp. 521–526.
6.
Mar, B. W., et al., “Sampling Design for Aquatic Ecological Monitoring,” Project RP 1729‐1, Electric Power Research Institute, Environmental Assessment Dept., Palo Alto, Calif., 1985.
7.
Millard, S. P., “Statistical Methods and Optimal Sampling Designs for Detection of Aquatic Ecological Change,” dissertation presented to the Biomathematics Group at the University of Washington at Seattle, Wash., in 1985, in partial fulfillment of the requirements for the degree of Doctor of Philosophy.
8.
Millard, S. P., and Lettenmaier, D. P., “Optimal Design of Biological Sampling Programs Using the Analysis of Variance,” Estuarine, Coastal, and Shelf Science, Vol. 22, 1986, pp. 637–656.
9.
Millard, S. P., Yearsley, J. R., and Lettenmaier, D. P., “Space‐Time Correlation and Its Effects on Methods for Detecting Aquatic Ecological Change,” Canadian Journal of Fisheries and Aquatic Sciences, Vol. 42, No. 8, 1985, pp. 1391–1400.
10.
Murarka, I. P., et al., ““An Evaluation of Environmental Data Relating to Selected Nuclear Power Plant Sites: the Zion Nuclear Power Station Site,” Report, No. ANLEIS‐5, Argonne National Laboratory, Argonne, Ill., 1976.
11.
Palmer, R. N., and MacKenzie, M. C., “Optimization of Water Quality Monitoring Networks,” Journal of the Water Resources Planning and Management Division, ASCE, Vol. 111, No. 4, 1985, pp. 478–493.
12.
Sanders, T. G., and Adrian, D. D., “Sampling Frequency for River Quality Monitoring,” Water Resources Research, Vol. 14, No. 4, 1978, pp. 569–576.
13.
Scheffé, H., The Analysis of Variance, John Wiley and Sons, Inc., New York, N.Y., 1959.
14.
Skalski, J. R., and McKenzie, D. H., “A Design for Aquatic Monitoring Programs,” Journal of Environmental Management, Vol. 14, 1982, pp. 237–251.
15.
Sokal, R. R., and Rohlf, F. J., Biometry: The Principle and Practice of Statistics in Biological Research, 2nd ed., W. H. Freeman and Company, San Francisco, Calif., 1981.
16.
Ward, R. C., et al., “Statistical Evaluation of Sampling Frequencies in Monitoring Networks,” Journal Water Pollution Control Federation, Vol. 51, No. 9, 1979, pp. 2292–2300.
17.
Ward, R. C., and Vanderholm, D. H., “Cost‐effectiveness Methodologies for Data Acquisition in Water Quality Management,” Water Resources Research, Vol. 9, No. 3, 1973, pp. 536–545.
18.
Wiens, G. J., “Cost Optimization of Aquatic Monitoring Programs,” thesis presented to the Department of Civil Engineering at the University of Washington at Seattle, Wash, in 1983 in partial fulfillment of the requirements for the degree of Doctor of Philosophy.
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Copyright © 1987 ASCE.
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Published online: Sep 1, 1987
Published in print: Sep 1987
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