Incorporating natural variability, uncertainty, and risk into water quality evaluations using duration curves

Journal of the American Water Resources Association

Volumn 39, Issue 6, 2003, Pages 1481-1496

  Bonta, James V ^a   Cleland, Bruce ^b  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

^b America's Clean Water Foundation   (United States)

Author keywords

Best management practice; BMP; Derived distribution; Duration curves; TMDL; Water quality

Indexed keywords

DATA REDUCTION; RISKS; RUNOFF; WATER QUALITY; WATERSHEDS;

DURATION CURVES (DC); NATURAL VARIABILITY;

WATER RESOURCES;

RUNOFF; STREAMFLOW; SUSPENDED LOAD; UNCERTAINTY ANALYSIS; WATER QUALITY;

EID: 1642482826     PISSN: 1093474X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1752-1688.2003.tb04433.x     Document Type: Article

References (38)

1. Benjamin, J. R. and C. A. Cornell, 1970. Probability, Statistics, and Decision for Civil Engineers. McGraw-Hill, Inc., New York, New York, 684 pp.
2. Bonta, J. V., 1997. Determination of Watershed Curve Number Using Derived Distributions. J. of Irrigation and Drainage Engineering 123(1):28-36.
3. Bonta, J. V., 2000. Impact of Coal Surface Mining and Reclamation on Suspended Sediment in Three Ohio Watersheds. Journal of the American Water Resources Association (JAWRA) 36(4):869-887.
4. Bonta, J. V., 2002. Framework for Estimating TMDLs With Minimal Data. Proceedings of the ASAE Conference on Watershed Management to Meet Emerging TMDL Environmental Regulations, Fort Worth, Texas, March 2002, pp. 6-12.
5. Bonta, J. V., 2003. Concentration-Discharge Regression Parameters in Watersheds of Varying Lithology Subjected to Surface Coal Mining and Reclamation. Journal of Soil and Water Conservation (accepted for publication).
6. Bonta, J. V. and W. Dick, 2003. Impact of Coal Surface Mining and Reclamation on Surface Water Chemical Concentrations and Load Rates in Three Ohio Watersheds. Journal of the American Water Resources Association (JAWRA) 39(4):793-815.
7. Bourodimos, E. L., S. L. Yu, and R. A. Hahn, 1974. Statistical Analysis of Daily Water Quality Data. Water Resources Bulletin 10(5):925-941.
8. Cleland, B. R., 2002. TMDL Development From the "Bottom Up" - Part II: Using Duration Curves to Connect the Pieces. ASIWP-CA/WEF National TMDL Science and Policy 2002 Specialty Conference, Phoenix, Arizona, Session 8, Paper 4.
9. Dick, W. A., J. V. Bonta, F. Haghiri, and J. R. Page, 1983. Stream Water Quality of Two Small Watersheds as Affected by Surface Coal Mining. J. of Environ. Quality 12(3):351-358.
10. Fennessey, N and R. M. Vogel, 1990. Regional Flow-Duration Curves for Ungauged Sites in Massachusetts. J. of Water Resources Planning and Management 116(4):530-549.
11. Franchini, M. and M. Suppo, 1996. Regional Analysis of Flow Duration Curves for a Limestone Region. Water Resources Management 10(3):199-218.
12. Goolsby, D. A., H. C. Mattraw, A. G. Lamonds, D. V. Maddy, and J. R. Rollo, 1976. Analysis of Historical Water-Quality Data and Description of Plan for a Sampling Network in Central and Southern Florida. U.S. Geological Survey, Water-Resources Investigation 76-52.
13. Harned, D. A., C. C. Daniel III, and J. K. Crawford, 1981. Methods of Discharge Compensation as an Aid to the Evaluation of Water Quality Trends. Water Resources Res. 17(5):1389-1400.
14. Hirsch, R. M., 1981. Techniques of Trend Analysis for Monthly Water-Quality Data. Open-File Report 81-488, U.S. Geological Survey, Reston, Virginia.
15. Jarrell, W. M., 1998. Getting Started With TMDLs. Oregon Institute of Science and Technology, Portland, Oregon, 97 pp.
16. Johnson, R. A., 1994. Miller and Freund's Probability and Statistics for Engineers (Fifth Edition). Prentice Hall, Inc., Englewood Cliffs, New Jersey, 629 pp.
17. Kircher, J. E., R. S. Dinicola, and R. F. Middelburg, 1984. Trend Analysis of Salt Load and Evaluation of the Frequency of Water-Quality Measurements for the Gunnison, the Colorado, and the Dolores Rivers in Colorado and Utah. U.S. Geological Survey, Water-Resources Investigations Report 84-4048, 69 pp.
18. Larson, S. P., W. B. Mann IV, T. D. Steele, and R. H. Susag, 1976. Graphic and Analytical Methods for Assessment of Stream-Water Quality - Mississippi River in the Minneapolis-St. Paul Metropolitan Area, Minnesota. U.S. Geological Survey, Water-Resources Investigations 76-94.
19. Ledbetter, J. O. and E. F. Gloyna, 1964. Predictive Techniques for Water Quality Inorganics. J. of the Sanitary Engineering Division, Proc. of the ASCE, pp. 127-151.
20. Leib, K. J., W. G. Wright, and M. A. Mast, 1999. Using Flood-Analysis Techniques to Estimate Dissolved-Zinc Concentrations. Proc. of the Sixth International Conference on Tailings and Mine Waste 99, Ft. Collins, Colorado, pp. 633-638.
21. Lettenmaier, D. P., 1977. Detection of Trends in Stream Quality: Monitoring Network Design and Data Analysis. Technical Report No. 51, Dept. of Civil Eng., Univ. of Washington, Seattle, Washington.
22. Lewis, W. M. and M. C. Grant, 1979. Relationships Between Stream Discharge and Yield of Dissolved Substances From a Colorado Mountain Watershed. Soil Sci. 128:353-363.
23. Liebermann, T. D., R. F. Middelburg, and S. A. Irvine, 1987. User's Manual for Estimation of Dissolved-Solids Concentrations and Loads in Surface Water. U.S. Geological Survey, Water-Resources Investigations Report 86-4124, 16 pp.
24. Miller, C. R., 1951. Analysis of Flow-Duration, Sediment-Rating Curve Method of Computing Sediment Yield. Bureau of Reclamation, Denver, Colorado.
25. NRC (National Research Council, 1998. Report of the Federal Advisory Committee on the Total Maximum Daily Load (TMDL) Program. EPA-100-R-98-006, U.S. Environmental Protection Agency, Office of the Administrator, Washington, D.C.
26. NRC (National Research Council), 2001. Assessing the TMDL Approach to Water Qality Management. Committee to Assess the Scientific Basis of the Total Maximum Daily Load Approach to Water Pollution Reduction, National Research Council, National Academy Press, Washington, D.C.
27. Quimpo, R. G., A. A. Alejandrino, and T. A. McNally, 1983. Regionalized Flow Duration for Philippines. J. of Water Resources Planning and Management 109(4):320-330.
28. Searcy, J. K., 1959. Flow-Duration Curves. Manual of Hydrology: Part 2. Low-Flow Techniques. U.S. Geological Survey Water-Supply Paper 1542-A, Washington, D.C., 33 pp.
29. Sherwani, J. K. and D. H. Moreau, 1975. Non-Point Sources: A Case Study. In: Strategies for Water Quality Monitoring. Report 107, Water Resources Res. Inst., Univ. of North Carolina, Chapel Hill, North Carolina, Chapter 9, pp. 105-122.
30. Simmons, C. E. and R. C. Heath, 1979. Water-Quality Characteristics of Streams in Forested and Rural Areas of North Carolina. U.S. Geological Survey, Water-Resources Invest. 79-108.
31. Smakhtin, V. U., 2001. Low Flow Hydrology: A Review. J. of Hydrol. 240(3-4):147-186.
32. Smith, R. A., R. M. Hirsch, and J. R. Slack, 1982. A Study of Trends in Total Phosphorus Measurements at NASQAN Stations. U.S. Geological Survey, Water-Supply Paper 2190, 33 pp.
33. Steele, T. D., E. J. Gilroy, and R. O. Hawkinson, 1974. An Assessment of Areal and Temporal Variations in Streamflow Quality Using Selected Data From the National Stream Quality Accounting Network. U.S. Geological Survey, Open-File Report 74-217, Reston, Virginia.
34. Stiles, T. C., 2001. A Simple Method to Define Bacteria TMDLs in Kansas. ASIWPCA/ACWF/WEF TMDL Science Issues Conference: On-Site Program. St. Louis, Missouri, pp 375-378.
35. USEPA (U.S. Environmental Protection Agency), 1976. Quality Criteria for Water. U.S. Government Printing Office, Environmental Protection Agency, Washington, D.C., 256 pp.
36. USEPA (U.S. Environmental Protection Agency), 2002. The Twenty Needs Report: How Research Can Improve the TMDL Program. EPA841-B-02-002, U.S. Environmental Protection Agency, Office of Water, Washington D.C., 43 pp.
37. Vogel, R. M. and N. M. Fennessey, 1994. Flow-Duration Curves I: New Interpretation and Confidence Intervals. J. of Water Resources Planning and Management 120(4):485-504.
38. Vogel, R. M. and N. M. Fennessey, 1995. Flow-Duration Curves II: A Review of Applications in Water Resources Planning. Water Resources Bulletin 31(6):1029-1039.