MAROS: A Decision Support System for Optimizing Monitoring Plans

Ground Water

Volumn 41, Issue 3, 2003, Pages 355-367

  Aziz, Julia J ^a   Ling, Meng ^b   Rifai, Hanadi S ^b   Newell, Charles J ^a   Gonzales, James R ^c  

^a Groundwater Services Inc   (United States)

^b UNIVERSITY OF HOUSTON   (United States)

^c Armstrong Laboratory   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION SUPPORT SYSTEMS; MONITORING; OPTIMIZATION; REGRESSION ANALYSIS; REMEDIATION;

GROUNDWATER CONTAMINANTS; GROUNDWATER MONITORING;

GROUNDWATER;

DECISION SUPPORT SYSTEM; GROUNDWATER; MONITORING SYSTEM; PLUME; POLLUTANT TRANSPORT;

DECISION SUPPORT SYSTEM; GROUNDWATER; MONITORING SYSTEM; PLUME; POLLUTANT TRANSPORT; SPATIAL DATA;

ARTICLE; COST BENEFIT ANALYSIS; DECISION SUPPORT SYSTEM; ECONOMICS; ENVIRONMENTAL MONITORING; REGRESSION ANALYSIS; SOIL; WATER POLLUTANT; WATER SUPPLY;

COST-BENEFIT ANALYSIS; DECISION SUPPORT TECHNIQUES; ENVIRONMENTAL MONITORING; REGRESSION ANALYSIS; SOIL; WATER POLLUTANTS; WATER SUPPLY;

EID: 0043011443     PISSN: 0017467X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1745-6584.2003.tb02605.x     Document Type: Article

References (49)

1. AFCEE. 1997. Long-Term Monitoring Optimization Guide - Version 1.1. U.S. Air Force Center for Environmental Excellence, Brooks AFB, Texas.
2. ASCE Task Committee on Geostatistical Techniques in Geohydrology. 1990a. Review of geostatistics in Geohydrology I: Basic concepts. Journal of Hydraulic Engineering 116, no. 5: 612-632.
3. ASCE Task Committee on Geostatistical Techniques in Geohydrology. 1990b. Review of geostatistics in Geohydrology II: Applications. Journal of Hydraulic Engineering 116, no. 5: 633-658.
4. ASCE Task Committee on Long-Term Ground Water Monitoring. 2002. The State of the Art in Long-Term Groundwater Monitoring Design. Washington, D.C.: American Society of Civil Engineers, Monograph. In press.
5. ASTM. 1998. Standard Guide for Remediation of Groundwater by Natural Attenuation at Petroleum Release Sites. E1943-98, American Society of Test and Material.
6. Aziz, C.E., C.J. Newell, J.R. Gonzales, P. Haas, T.P. Clement, and Y. Sun. 1999. BIOCHLOR Natural Attenuation Decision Support System Version 1.0 User's Manual. U.S. Air Force Center for Environmental Excellence, Brooks AFB, Texas.
7. Aziz, J.J., C.J. Newell, H.S. Rifai, M. Ling, and J.R. Gonzales. 2000. Monitoring and Remediation Optimization System (MAROS) Software User's Guide-Version 1.0. U.S. Air Force Center for Environmental Excellence, Brooks AFB, Texas.
8. Barcelona, M.J., H.A. Wehrman, M.R. Schock, M.E. Sievers, and J.R. Karny. 1989. Sampling Frequency for Ground-Water Quality Monitoring. EPA/600/4-89/032. Washington, D.C.: U.S. Environmental Protection Agency.
9. Beardsley, C.C., R.C. Tuckfield, E.P. Shine, and W.R. Weiss. 1998. Groundwater sampling reduction at the Savannah River site. WSRC-TR-98-00191. Aiken, South Carolina: Westinghouse Savannah River Co.
10. Cameron, K., and P. Hunter. 2000. Optimization of LTM networks: Statistical approaches to spatial and temporal redundancy. In Proceedings from the American Institute of Chemical Engineers, 2000 Spring National Meeting, Remedial Process Optimization Topical Conference, Atlanta, Georgia.
11. Cieniawski, S.E., J.W. Eheart, and S. Ranjithan. 1995. Using genetic algorithms to solve a multiobjective groundwater monitoring problem. Water Resources Research 31, no. 2: 399-409.
12. Datta, B., and S.D. Dhiman. 1996. Chance-constrained optimal monitoring network design for pollutants in ground water. Journal of Water Resources Planning and Management 122, no. 3: 180-188.
13. Dutta, D., A.D. Gupta, and V. Ramnarong. 1998. Design and optimization of a ground water monitoring system using GIS and multicriteria decision analysis. Ground Water Monitoring & Remediation 18, no. 1: 139-147.
14. Gilbert, R.O. 1987. Statistical Methods for Environmental Pollution Monitoring. New York: Van Nostrand Reinhold.
15. Grabow, G.L., C.R. Mote, W.L. Sanders, J.L. Smoot, and D.C. Yoder. 1993. Groundwater monitoring network design using minimum well density. Water Science and Technology: A Journal of the International Association on Water Pollution Research 28, nos. 3-5: 327-335.
16. Hansen, J.P. 1999. How the Badger Army ammunition plant save $400,000 in long-term monitoring costs. In Proceedings of Subsurface Remediation: Improving Long-Term Monitoring and Remedial Systems Performance, June 1999, St. Louis, Missouri.
17. Hollander, M., and D.A. Wolfe. 1973. Nonparametric Statistical Methods. New York: Wiley.
18. Isaaks, E.H., and R.M. Srivastava. 1989. An Introduction to Applied Geostatistics. New York: Oxford University Press.
19. Johnson, V., R.C. Tuckfield, M.N. Ridley, and R.A. Anderson. 1996. Reducing the sampling frequency of groundwater monitoring wells. Environmental Science and Technology 30, no. 1: 355-358.
20. Loaiciga, H.A. 1989. An optimization approach for groundwater quality monitoring network design. Water Resources Research 25, no. 8: 1771-1782.
21. Loaiciga, H.A., R.J. Charbeneau, L.G. Everett, G.E. Fogg, B.F. Hobbs, and S. Rouhani. 1992. Review of ground-water quality monitoring network design. Journal of Hydraulic Engineering 118, no. 1: 11-37.
22. Mace, R.E., R.S. Fisher, D.M. Welch, and S.P. Parra. 1997. Extent, Mass, and Duration of Hydrocarbon Plumes from Leaking Petroleum Storage Tank Sites in Texas. Geological Circular 97-1. Austin, Texas: University of Texas at Austin.
23. McNab, W.W., D.W. Rice, J. Bear, R. Ragaini, C. Tuckfield, and C. Oldenburg. 1999. Historical Case Analysis of Chlorinated Volatile Organic Compound Plumes. UCRL-AR-133361. Livermore, California: Lawrence Livermore National Laboratory.
24. Meyer, P.D., A.J. Valocchi, and J.W. Eheart. 1994. Monitoring network design to provide initial detection of groundwater contamination. Water Resources Research 30, no. 9: 2647-2659.
25. Neter, J., M.H. Kutner, C.J. Nachtsheim, and W. Wasserman. 1996. Applied Linear Statistical Models, 4th ed. New York: WCB/McGraw-Hill.
26. Newell, C.J., and J.A. Connor. 1998. Characteristics of dissolved hydrocarbon plumes: Results of four studies. Washington, D.C.: American Petroleum Institute (www.gsi-net.com).
27. Newell, C.J., R.K. McLeod, and J.R. Gonzales. 1996. BIOSCREEN Natural Attenuation Decision Support System User's Manual, Version 1.3. EPA/600/R-96/087. Ada, Oklahoma: Robert S. Kerr Environmental Research Center.
28. NFESC. 2000. Guide to Optimal Groundwater Monitoring-Interim Final. Port Hueneme, California: Naval Facilities Engineering Service Center.
29. Okabe, A., B. Boots, and K. Sugihara. 1992. Spatial Tessellations: Concepts and Applications of Voronoi Diagrams. New York: Wiley & Sons.
30. Reed, P., B. Minsker, and A.J. Valocchi. 2000. Cost-effective long-term groundwater monitoring design using a genetic algorithm and global mass interpolation. Water Resources Research 36, no. 12: 3731-3741.
31. Reed, P., B. Minsker, and D. Goldberg. 2001. A multiobjective approach to cost effective long-term groundwater monitoring using an elitist nondominated sorted genetic algorithm with historical data. Journal of Hydroinformatics 3, no. 2: 71-89.
32. Rice, D.W., R.D. Grose, J.C. Michaelsen, B.P. Dooher, D.H. MacQueen, S.J. Cullen, W.E. Kastenberg, L.G. Everett, and M.A. Marino. 1995. California Leaking Underground Fuel Tank (LUFT) Historical Analyses. Environmental Protection Department, Davis, California.
33. Ridley, M.N., V.M. Johnson, and R.C. Tuckfield. 1995. Cost-effective sampling of groundwater monitoring wells. UCRL-JC-118909. Livermore, California: Lawrence Livermore National Laboratory.
34. Ridley, M.N., and D. MacQueen. 1998. Cost-effective sampling of groundwater monitoring wells: A data review and well frequency evaluation. Technical Report. Livermore, California: Lawrence Livermore National Laboratory.
35. Rizzo, D.M., D.E. Dougherty, and M. Yu. 2000. An adaptive long-term monitoring and operations system (aLTMOsT) for optimization in environmental management. In Building Partnerships: Proceedings of 2000 ASCE Joint Conference on Water Resources Engineering and Water Resources Planning and Management, ed. R.H. Hotchkiss and M. Glade. Reston, Virginia: American Society of Civil Engineers.
36. Rizzo, D.M., D.E. Dougherty, and M. Yu. 2001. Devising groundwater LTM strategies for different objectives using optimization. In Bridging the Gap: Proceedings of 2001 EWRI/ASCE World Water and Environmental Resources Congress, ed. D. Phelps and G. Sehlke. Reston, Virginia: American Society of Civil Engineers.
37. Rouhani, S. 1985. Variance reduction analysis. Water Resources Research 21, no. 6: 837-846.
38. Rouhani, S., and T.J. Hall. 1988. Geostatistical schemes for groundwater sampling. Journal of Hydrology 103, no. 1: 85-102.
39. Sanders, T.G., R.C. Ward, J.C. Loftis, T.D. Steele, D.D. Adrian, and V. Yevjevich. 1987. Design of Networks for Monitoring Water Quality, 2nd ed. Littleton, Colorado: Water Resources Publications.
40. Singh, A.K., A. Singh, and M. Engelhardt. 1997. The Lognormal Distribution in Environmental Applications. EPA/600/R-97/006. Washington, D.C.: U.S. Environmental Protection Agency.
41. Storck, P., J.W. Eheart, and A.J. Valocchi. 1997. A method for the optimal location of monitoring wells for detection of groundwater contamination in three-dimensional heterogeneous aquifers. Water Resources Research 33, no. 9: 2081-2088.
42. Tuckfield, R.C. 1994. Estimating an appropriate sampling frequency for monitoring ground water well contamination. INMM Proceedings 23, 80-85.
43. Tuckfield, R.C. 2001. Long-term groundwater monitoring cost reduction using geostatistics and geoscience. 2001 World Water & Environmental Resources Congress. Orlando, Florida: Environmental & Water Resources Institute.
44. U.S. ACE. 2000a. Draft Engineering Evaluation/Cost Analysis: East Disposal Yard and Logistics Center, Fort Lewis, Washington. Seattle, Washington: U.S. Army Corps of Engineers.
45. U.S. ACE. 2000b. Fort Lewis Logistics Center Remedial Action Monitoring - Revised Addendum Management Plan. Seattle, Washington: U.S. Army Corps of Engineers.
46. U.S. Department of Energy. 1999. Technical Guidance for the Long-Term Monitoring of Natural Attenuation Remedies at Department of Energy Sites. Washington, D.C.: Office of Environmental Restoration, Department of Energy. (www.em.doe.gov/techguide).
47. Wagner, B.J. 1995. Sampling design methods for groundwater modeling under uncertainty. Water Resources Research 31, no. 10: 2581-2591.
48. Watson, D.E. 1994. Nngridr-An Implementation of Natural Neighbor Interpolation. Claremont, WA, Australia.
49. Woldt, W., and I. Bogardi. 1992. Ground water monitoring network design using multiple criteria decision making and geostatistics. Water Resources Bulletin 28, no. 1: 45-62.