Ranking tributaries for setting remediation priorities in a TMDL context

Chemosphere

Volumn 71, Issue 10, 2008, Pages 1895-1908

  Stringfellow, William T ^a,b  

^a UNIVERSITY OF THE PACIFIC   (United States)

^b LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

Author keywords

Chemometric; Diffuse pollution; Eutrophication; TMDL; Water quality index; Wilcoxon Mann Whitney

Indexed keywords

COMPUTATION THEORY; DATA ACQUISITION; EUTROPHICATION; FISHERIES; REGULATORY COMPLIANCE;

CHEMOMETRIC; DIFFUSE POLLUTION; WATER QUALITY INDEX; WILCOXON-MANN-WHITNEY;

WATER ANALYSIS;

COMPUTATION THEORY; DATA ACQUISITION; EUTROPHICATION; FISHERIES; REGULATORY COMPLIANCE; WATER ANALYSIS;

EUTROPHICATION; POLLUTION INCIDENCE; PRIORITIZATION; RANKING; REMEDIATION; RIVER WATER; TRIBUTARY; WATER QUALITY;

ARTICLE; CALCULATION; CHEMOMETRICS; DATA ANALYSIS; EUTROPHICATION; FOOD INDUSTRY; MATHEMATICAL ANALYSIS; NONPARAMETRIC TEST; PARAMETER; RANK SUM TEST; RIVER; STANDARD; UNITED STATES; WATER MANAGEMENT; WATER POLLUTION; WATER QUALITY; WATER SUPPLY; WATERSHED;

CALIFORNIA; CARBON; CHLOROPHYLL; ENVIRONMENTAL MONITORING; ENVIRONMENTAL REMEDIATION; GEOGRAPHIC INFORMATION SYSTEMS; NEPHELOMETRY AND TURBIDIMETRY; NITRATES; PHOSPHATES; QUATERNARY AMMONIUM COMPOUNDS; RIVERS; STATISTICS, NONPARAMETRIC; WATER POLLUTANTS;

CALIFORNIA; CENTRAL VALLEY [CALIFORNIA]; NORTH AMERICA; SAN JOAQUIN RIVER; UNITED STATES;

EID: 42049111190     PISSN: 00456535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemosphere.2008.01.040     Document Type: Article

References (48)

1. Alberto W.D., Del Pilar D.M., Valeria A.M., Fabiana P.S., Cecilia H.A., and De Los Angeles B.M. Pattern recognition techniques for the evaluation of spatial and temporal variations in water quality. A case study: Suquia River basin (Cordoba-Argentina). Water Research 35 (2001) 2881-2894
2. American Public Health Association, 1998. Standard Methods for the Examination of Water and Wastewater. American Public Health Association, Washington, DC.
3. American Public Health Association, 2005. Standard Methods for the Examination of Water and Wastewater. American Public Health Association, Washington, DC.
4. Bauer S.B., and Ralph S.C. Strengthening the use of aquatic habitat indicators in Clean Water Act programs. Fisheries 26 (2001) 14-24
5. Beardall J., Young E., and Roberts S. Approaches for determining phytoplankton nutrient limitation. Aquatic Sciences 63 (2001) 44-69
6. Benner T.C. Brief survey of EPA standard-setting and health assessment. Environmental Science and Technology 38 (2004) 3457-3464
7. Brown L.R., and Moyle P.B. Distribution, ecology, and status of the fishes of the San-Joaquin River drainage, California. California Fish and Game 79 (1994) 96-114
8. California Department of Water Resources, 2006. Methodology for Flow and Salinity Estimates in the Sacramento-San Joaquin Delta and Suisun Marsh. California Department of Water Resources, Sacramento, CA.
9. Central Valley Regional Water Quality Control Board, 1998. Water Quality Control Plan (Basin Plan) for the Sacramento and San Joaquin River Basins. Central Valley Regional Water Quality Control Board, Rancho Cordova, CA.
10. Central Valley Regional Water Quality Control Board, 2004. Amendments to the Water Quality Control Plan for the Sacramento River and San Joaquin River Basins for the Control of Salt and Boron Discharges to the Lower San Joaquin River. Final Staff Report. Central Valley Regional Water Quality Control Board, Rancho Cordova, CA.
11. Foe, C., Gowdy, M., McCarthy, M., 2002. Draft Strawman Allocation of Responsibility Report. California Regional Water Quality Control Board Central Valley Region, Rancho Cordova, CA.
12. Gowdy M.J., and Grober L.F. Total Maximum Daily Load for Low Dissolved Oxygen in the San Joaquin River (2003), Regional Water Quality Control Board Central Valley Region, Sacramento, CA
13. Gronberg, J.A., Dubrovsky, N.M., Kratzer, C.R., Domagalski, J.L., Brown, L.R., Burow, K.R., 1998. Environmental Setting of the San Joaquin-Tulare Basins, California. WRI 97-4205. US Geological Survey, Sacramento, CA.
14. Herr J., and Chen C. San Joaquin River Model Calibration Report. A Deliverable for CALFED Project ERP-02D-P63 Monitoring and Investigations for the San Joaquin River and Tributaries Related to Dissolved Oxygen. Task 6 Model Calibration and Forecasting (2006), Systech Engineering, Inc., San Ramon, CA.
15. Hilton J., O'Hare M., Bowes M.J., and Jones J.I. How green is my river? A new paradigm of eutrophication in rivers. Science of the Total Environment 365 (2006) 66-83
16. Jarvie H.P., Lycett E., Neal C., and Love A. Patterns in nutrient concentrations and biological quality indices across the upper Thames river basin, UK. Science of the Total Environment 282 (2002) 263-294
17. Jia Y.B., and Culver T.B. Robust optimization for total maximum daily load allocations. Water Resources Research 42 (2006)
18. Johns G.E., and Watkins D.A. Regulation of agricultural drainage to San Joaquin River. Journal of Irrigation and Drainage Engineering-ASCE 115 (1989) 29-41
19. Kannel P.R., Lee S., Kanel S.R., and Khan S.P. Chemometric application in classification and assessment of monitoring locations of an urban river system. Analytica Chimica Acta 582 (2007) 390-399
20. Karr J.R., and Yoder C.O. Biological assessment and criteria improve total maximum daily load decision making. Journal of Environmental Engineering-ASCE 130 (2004) 594-604
21. Khanna N. Measuring environmental quality: an index of pollution. Ecological Economics 35 (2000) 191-202
22. Kowalkowski T., Zbytniewski R., Szpejna J., and Buszewski B. Application of chemometrics in river water classification. Water Research 40 (2006) 744-752
23. Lam R.H.F., Brown J.P., Fan A.M., and Milea A. Chemicals in California drinking-water - source contaminants, risk assessment, risk management, and regulatory standards. Journal of Hazardous Materials 39 (1994) 173-192
24. Lehmann E.L. Nonparametrics: Statistical Methods Based on Ranks (2006), Springer, New York, NY
25. Lijklema L. Water-quality standards - sense and nonsense. Water Science and Technology 31 (1995) 321-327
26. Mann H.B., and Whitney D.R. On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics 18 (1947) 50-60
27. McNeal J.M., and Balisteri L.S. Geochemistry and occurrence of selenium: an overview. In: Jacobs L.W. (Ed). Selenium in Agriculture and the Environment. SSSA Special Publication 23 (1989), Soil Science Society America, Madison, WI 1-13
28. Moyle P.B. Inland Fishes of California (2002), University of California Press, Berkeley, CA
29. Novotny V. Simplified databased total maximum daily loads, or the world is log-normal. Journal of Environmental Engineering-ASCE 130 (2004) 674-683
30. Quinn N.W.T., and Karkoski J. Real-time management of water quality in the San Joaquin River Basin, California. Journal of the American Water Resources Association 34 (1998) 1473-1486
31. Ranta E., and Lindstrom K. Theory on fish yield versus water-quality in lakes. Annales Zoologici Fennici 30 (1993) 71-75
32. San Joaquin Valley Drainage Program, 1990. A Management Plan for Agricultural Subsurface Drainage and Related Problems on the Westside San Joaquin Valley. Final Report of the San Joaquin Valley Drainage Program. United States Department of Interior and California Resources Agency, Sacramento, CA.
33. Shabman L., and Smith E. Implications of applying statistically based procedures for water quality assessment. Journal of Water Resources Planning and Management-ASCE 129 (2003) 330-336
34. Shostell J., and Bukaveckas P.A. Seasonal and interannual variation in nutrient fluxes from tributary inputs, consumer recycling and algal growth in a eutrophic river impoundment. Aquatic Ecology 38 (2004) 359-373
35. Smith W. Garden of the Sun: A History of the San Joaquin Valley 1772-1939 (2004), Linden Publishing, Inc., Fresno, CA.
36. Sokal R.R., and Rohlf F.J. Biometry: The Principles and Practice of Statistics in Biological Research (1995), W.H. Freeman & Co., New York, NY
37. Stringfellow, W.T., 2005. Up-Stream Dissolved Oxygen TMDL Project Quality Assurance Project Plan. Ernest Orlando Lawrence Berkeley National Laboratory Formal Report No. LBNL-59937. Berkeley National Laboratory, Berkeley, CA.
38. Stringfellow, W.T., Borglin, S.E., Dahlgren, R., Hanlon, J.S., Graham, J., Burkes, R., Hutchinson, K., 2007. San Joaquin River Up-Stream DO TMDL Project (ERP-02D-P63) Task 4: Monitoring Study Interim Task Report # 3. Ernest Orlando Lawrence Berkeley National Laboratory Formal Report No. LBNL-63243. Lawrence Berkeley National Laboratory and The University of the Pacific, Berkeley, CA.
39. Stringfellow, W.T., Borglin, S.E., Hanlon, J.S., 2006. Measurement and Modeling of Algal Biokinetics in Highly Eutrophic Waters. Ernest Orlando Lawrence Berkeley National Laboratory Formal Report No. LBNL-59961. E.O. Lawrence Berkeley National Laboratory, Berkeley, CA.
40. Stringfellow, W.T., Quinn, N.W.T., 2002. Discriminating Between West-Side Sources of Nutrients and Organic Carbon Contributing to Algal Growth and Oxygen Demand in the San Joaquin River. Ernest Orlando Lawrence Berkeley National Laboratory Formal Report No. LBNL-51166. Berkeley National Laboratory, Berkeley, CA.
41. Terrado M., Barcelo D., and Tauler R. Identification and distribution of contamination sources in the Ebro river basin by chemometrics modelling coupled to geographical information systems. Talanta 70 (2006) 691-704
42. Terrado M., Kuster M., Raldua D., De Alda M.L., Barcelo D., and Tauler R. Use of chemometric and geostatistical methods to evaluate pesticide pollution in the irrigation and drainage channels of the Ebro river delta during the rice-growing season. Analytical and Bioanalytical Chemistry 387 (2007) 1479-1488
43. United States Department of Agriculture, N.R.C.S., 2006. Land Resource Regions and Major Land Resource Areas of the United States, the Caribbean, and the Pacific Basin. U.S. Department of Agriculture Handbook 296, Washington, DC.
44. Vega M., Pardo R., Barrado E., and Deban L. Assessment of seasonal and polluting effects on the quality of river water by exploratory data analysis. Water Research 32 (1998) 3581-3592
45. Volkmar E.C., and Dahlgren R.A. Biological oxygen demand dynamics in the lower San Joaquin River, California. Environmental Science and Technology 40 (2006) 5653-5660
46. Walters C.J., and Collie J.S. Is research on environmental-factors useful to fisheries management. Canadian Journal of Fisheries and Aquatic Sciences 45 (1988) 1848-1854
47. Wilcoxon F. Individual comparisons by ranking methods. Biometrics Bull. 1 (1945) 80-83
48. Zar J.H. Biostatistical Analysis. Fourth ed. (1999), Prentice Hall, Inc., Upper Saddle River, NJ