Using spatial models and kriging techniques to optimize long-term ground-water monitoring networks: A case study

Environmetrics

Volumn 13, Issue 5-6, 2002, Pages 629-656

  Cameron, Kirk ^a   Hunter, Philip ^b  

^a MacStat Consulting Ltd   (United States)

^b Tyndall Air Force Base   (United States)

Author keywords

Geostatistics; Long term monitoring; Spatial redundancy; Statistical optimization; Temporal redundancy

Indexed keywords

GEOSTATISTICS; GROUNDWATER; KRIGING; MONITORING SYSTEM; OPTIMIZATION; PLUME;

UNITED STATES;

EID: 0036698080     PISSN: 11804009     EISSN: None     Source Type: Journal    
DOI: 10.1002/env.582     Document Type: Article

References (7)

1. Bertolino F, Luciano A, Racugno W. 1983. Some aspects of detection networks optimization with the kriging procedure. Metron 41(3): 91-107.
2. Gilbert RO. 1987. Statistical Methods for Environmental Pollution Monitoring. Van Nostrand Reinhold: New York.
3. Isaaks EH, Srivastava RM. 1989. Applied Geostatistics. Oxford University Press: New York.
4. Johnson VM, Tuckfield RC, Ridley MN, Anderson RA. 1996. Reducing the sampling frequency of ground-water monitoring wells. Environmental Science & Technology 30(1): 355-358.
5. Journel AG. 1988. Nonparametric geostatistics for risk and additional sampling assessment. In Principles of Environmental Sampling, Keith L (ed.). American Chemical Society, 45-72.
6. Press WH, Teukolsky SA, Vetterling WT, Flannery BP. 1992. Numerical Recipes in Fortran: The Art of Scientific Computing (2nd ed.). Cambridge University Press: New York.
7. Tuckfield RC. 1994. Estimating an appropriate sampling frequency for monitoring ground water well contamination. Paper presented at International Nuclear Materials Management (INMM) Annual Meeting: Naples.