Quantification of uncertainty in estimated nitrate-N loads in agricultural watersheds

Journal of Hydrology

Volumn 519, Issue PA, 2014, Pages 106-116

  Jiang, Yan ^a   Frankenberger, Jane R ^b   Bowling, Laura C ^c   Sun, Zhaonan ^d  

^a U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

^b Purdue University   (United States)

^c PURDUE UNIVERSITY   (United States)

^d PURDUE UNIVERSITY   (United States)

Author keywords

Error propagation; Load calculation uncertainty; Measurement uncertainty; Nitrate N load

Indexed keywords

AGRICULTURAL WATERSHEDS; ERROR PROPAGATION; LOAD CALCULATION; MEASUREMENT UNCERTAINTY; NITRATE-N;

NITRATE; NUTRIENT ENRICHMENT; SAMPLING; WATER QUALITY; WATERSHED;

ATLANTIC OCEAN; GULF OF MEXICO;

EID: 84904886414     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2014.06.027     Document Type: Article

References (55)

1. Aulenbach B.T., Hoopert R.P. The composite method: an improved method for stream-water solute load estimation. Hydrol. Process. 2006, 20(14):3029-3047.
2. Baker D.B. Regional water quality impacts of intensive row- crop agriculture: a Lake Erie Basin case study. J. Soil Water Conserv. 1985, 40(1):125-132.
3. Bevington, P.R., Robinson, D.K., 2002. Data Reduction and Error Analysis for the Physical Sciences, third ed., McGraw-Hill: ISBN 0-07-119926-8, New York.
4. Birgand F., Faucheux C., Gruau G., Augeard B., Moatar F., Bordenave P. Uncertainties in assessing annual nitrate loads and concentration indicators: Part 1. Impact of sampling frequency and load estimation algorithms. Trans. ASABE 2010, 53(2):437-446.
5. Birgand F., Appelboom T.W., Chescheir G.M., Skaggs R.W. Estimating nitrogen, phosphorus, and carbon fluxes in forested and mixed-use watersheds of the lower coastal plain of North Carolina: uncertainties associated with infrequent sampling. Trans. ASABE 2011, 54(6):2099-2110.
6. Boning, C.W., 1992. Policy Statement on Stage Accuracy. Technical Memorandum No. 93-07. USGS, Office of Water, Washington, D.C.
7. Chen J., Shao J. Nearest neighbor imputation for survey data. J. Offic. Stat.-Stockholm 2000, 16(2):113-132.
8. Deletic A., Dotto C.B.S., McCarthy D.T., Kleidorfer M., Freni G., Mannina G., Uhl M., Henrichs M., Fletcher T.D., Rauch W., Bertrand-Krajewski J.L., Tait S. Assessing uncertainties in urban drainage models. Phys. Chem. Earth, Parts A/B/C 2012, 42-44(3-10):2012. 10.1016/j.pce.2011.04.007.
9. Di Baldassarre G., Montanari A. Uncertainty in river discharge observations: a quantitative analysis. Hydrol. Earth Syst. Sci. 2009, 13(6):913-921.
10. Dolan D.M., Yui A.K., Geist R.D. Evaluation of river load estimation methods for total phosphorus. J. Great Lakes Res. 1981, 7(3):207-214.
11. Dotto C.B.S., Mannina G., Kleidorfer M., Vezzaro L., Henrichs M., McCarthy D.T., Freni G., Rauch W., Deletic A. Comparison of different uncertainty techniques in urban stormwater quantity and quality modelling. Water Res. 2012, 46:2545-2558.
12. Feng Z., Schilling K.E., Chan K.S. Dynamic regression modeling of daily nitrate-nitrogen concentrations in a large agricultural watershed. Environ. Monit. Assess. 2013, 185:4605-4617. 10.1007/s10661-012-2891-7.
13. Ferguson R.I. River loads underestimated by rating curves. Water Resour. Res. 1986, 22(1):74-76.
14. Freni G., Mannina G. Uncertainty in water quality modelling: the applicability of variance decomposition approach. J. Hydrol. 2010, 394(3-4):324-333.
15. Gardolinski P.C., Hanrahan G.E., Achterberg P., Gledhill M., Tappin A.D., House W.A., Worsfold P.J. Comparison of sample storage protocols for the determination of nutrients in natural waters. Water Res. 2001, 35(15):3670-3678.
16. Ging, P., 1999. Water-quality assessment of south-central Texas: Comparison of water quality in surface-water samples collected manually and by automated samplers. USGS Fact Sheet FS-172-99. Washington, D.C., USGS.
17. Guo Y., Markus M., Demissie M. Uncertainty of nitrate-N load computations for agricultural watersheds. Water Resour. Res. 2002, 38(10):1185. 10.1029/2001WR001149.
18. Harmel R.D., Cooper R.J., Slade R.M., Haney R.L., Arnold J.G. Cumulative uncertainty in measured streamflow and water quality data for small watersheds. Trans. ASABE 2006, 49(3):689-701.
19. Harmel R.D., Smith D.R., King K.W., Slade R.M. Estimating storm discharge and water quality data uncertainty: a software tool for monitoring and modeling applications. Environ. Model. Soft. 2009, 24(7):832-842.
20. JCGM, 2008. Evaluation of measurement data-Guide to the expression of uncertainty in measurement. International Organization for Standardization (ISO), Online: http://www. bipm.org/en/publications/guides/gum.html.
21. Kotlash A.R., Chessman B.C. Effects of water sample preservation and storage on nitrogen and phosphorus determinations: implications for the use of automated sampling equipment. Water Res. 1998, 32(12):3731-3737.
22. Kronvang B., Bruhn A.J. Choice of sampling strategy and estimation method for calculating nitrogen and phosphorus transport in small lowland streams. Hydrol. Process. 1996, 10(11):1483-1501.
23. Lennartz B., Tiemeyer B., de Rooij G., Dolezˇal F. Artificially Drained Catchments-From monitoring studies towards management approaches. Vadose Zone J. 2010, 9(1):1-3.
24. Ludtke A.S., Woodworth M.T., Marsh P.S. Quality assurance results for routine water analysis in U.S. Geological Survey Laboratories, Water Year 1998. USGS Water Resources Investigations Report 00-4176 2000, USGS, Washington, D.C.
25. Markus M., Hejazi M.I., Bajcsy P., Giustolisi O., Savic D.A. Prediction of weekly nitrate-N fluctuations in a small agricultural watershed in Illinois. J. Hydroform. 2010, 12(3):251-261.
26. Martin G.R., Smoot J.L., White K.D. A comparison of surface-grab and cross sectionally integrated stream-water-quality sampling methods. Water Environ. Res. 1992, 64(7):866-876.
27. Mercurio, G., Perot, J., Roth, N., Southerland, M., 2002. Maryland Biological Stream Survey. <>. http://pprp.info/bibliography/MD_Biological_Streams_Survey_Reports/CBWP-MANTA-EA-01-10.pdf.
28. Moatar F., Meybeck M. Compared performances of different algorithms for estimating annual nutrient loads discharged by the eutrophic River Loire. Hydrol. Process. 2005, 19(2):429-444.
29. Moatar, F., Meybeck, M., Raymond, S., Birgand, F., Curie, F., 2012. River flux uncertainties by hydrological variability and riverine material behavior. Hydrol. Process. <>. http://dx.doi.org/10.1002/hyp.9464.
30. National Research Council Risk Analysis and Uncertainty in Flood Damage Reduction Studies 2000, Natl. Acad, Washington, D.C.
31. Pelletier P.M. Uncertainties in the single determination of river discharge - a literature-review. Can. J. Civ. Eng. 1988, 15(5):834-850.
32. Preston S.D., Bierman V.J., Silliman S.E. An evaluation of methods for the estimation of tributary mass loads. Water Resour. Res. 1989, 25(6):1379-1389.
33. Richards R.P., Holloway J. Monte-Carlo studies of sampling strategies for estimating tributary loads. Water Resour. Res. 1987, 23(10):1939-1948.
34. Richards R.P., Alameddine I., David J.A., Baker D.B., Bosch N.S., Confesor R., DePinto J.V., Dolan D.M., Reutter J.M., Scavia D. "Nutrient Inputs to the Laurentian Great Lakes by Source and Watershed Estimated Using SPARROW Watershed Models" by Dale M. Robertson and David A. Saad. J. Am. Water Resour. Assoc. 2013, 49:715-724. 10.1111/jawr.12006.
35. Robertson D.M., Saad D.A. Nutrient inputs to the laurentian great lakes by source and watershed estimated using SPARROW watershed models1. J. Am. Water Resour. Assoc. 2011, 47(5):1011-1033.
36. Rode M., Suhr U. Uncertainties in selected river water quality data. Hydrol. Earth Syst. Sci. 2007, 11(2):863-874.
37. Sauer, V.B., Meyer, R.W., 1992. Determination of error in individual discharge measurements. USGS Open File Report 92-144. Washington, D.C.: USGS.
38. Schilling K.E., Spooner J. Effects of watershed-scale land use change on stream nitrate concentrations. J. Environ. Qual. 2006, 35:2132-2145.
39. Schwarz, G.E., Hoos, A.B., Alexander, R.B., Smith, R.A., 2006. The SPARROW Surface Water-Quality Model-Theory, Applications and User Documentation. U.S. Geological Survey, Techniques and Methods 6-B3. <>, accessed October 15, 2012. http://pubs.usgs.gov/tm/2006/tm6b3.
40. Standard Methods for the Examination of Water and Wastewater, 1998. American Public Health Association, American Water Works Association and Water Environment Federation, 20th ed.
41. Stenback G.A., Crumpton W.G., Schilling K.E., Helmers M.J. Rating curve estimation of nutrient loads in Iowa rivers. J. Hydrol. 2011, 396(1-2):158-169.
42. Strobl R., Robillard R. Network design for water quality monitoring of surface freshwaters: a review. J. Environ. Manage. 2008, 87:639-648.
43. Tiemeyer B., Kahle P., Lennartz B. Designing monitoring programs for artificially drained catchments. Vadose Zone J. 2010, 9:14-24.
44. Ullrich A., Volk M. Influence of different nitrate-N monitoring strategies on load estimation as a base for model calibration and evaluation. Environ. Monit. Assess. 2010, 171(1-4):513-527.
45. USEPA, 2002. Supplemental Guidelines for the Award of Section 319 Nonpoint Source Grants to States and Territories in FY 2002 and Subsequent Years. Online at <> (accessed September 2012). http://www.epa.gov/owow/NPS/Section319/fy2002.html.
46. USEPA, 2012. Overview of Impaired Waters and Total Maximum Daily Loads Program website. <> (accessed September 2012). http://water.epa.gov/lawsregs/lawsguidance/cwa/tmdl/intro.cfm.
47. USGS, 2004. Load Estimator (LOADEST): A Fortran Program for Estimating Constituent Loads in Streams and Rivers. Techniques and Models Book 4, Chapter 5. US Geological Survey, Reston, VA.
48. USGS, 2009a. USGS Open-File Report 2007-1080. Streamflow and Nutrient Fluxes of the Mississippi-Atchafalaya River Basin and Subbasins for the Period of Record Through 2005, Methods Used to Estimate Nutrient Fluxes, <>. http://toxics.usgs.gov/pubs/of-2007-1080/methods.html.
49. USGS, 2009b. Application of Spatially Referenced Regression Modeling for the Evaluation of Total Nitrogen Loading in the Chesapeake Bay Watershed, <>. http://md.water.usgs.gov/publications/wrir-99-4054/html/index.htm.
50. USGS, 2013. Annual Water Data Report, <> (accessed July 2014). http://wdr.water.usgs.gov/current/documentation.html.
51. Walker, W.W., 1986. Empirical Methods for Predicting Eutrophication in Impoundments; Report 3, Phase III: Applications Manual. Technical Report E-81-9, U.S. Army Engineer Waterways Experiment Station, Vicksburg, MS.
52. Walker, W.W., 1996. Simplified procedures for eutrophication assessment and prediction: User manual, Instruct. Rep. W-96-2, U.S. Army Corps of Eng., Waterways Exp. tn., Vicksburg, Miss.
53. Water Quality Laboratory, Heidelberg College, 2005. Program Description; Sampling Stations and Methods. <> (accessed September, 2012). http://www.heidelberg.edu/academiclife/distinctive/ncwqr/data/guide.
54. Westerberg I., Guerrero J.L., Seibert J., Beven K.J., Halldin S. Stage-discharge uncertainty derived with a non-stationary rating curve in the Choluteca River, Honduras. Hydrol. Process. 2011, 25(4):603-613.
55. Zamyadi A., Gallichand J., Duchemin M. Comparison of methods for estimating sediment and nitrogen loads from a small agricultural watershed. Canad. Biosyst. Eng. 2007, 49(1):127-136.