Uncertainty assessment of a water-quality model for ephemeral rivers using GLUE analysis

Journal of Environmental Engineering

Volumn 137, Issue 3, 2011, Pages 177-186

  Mannina, Giorgio ^a  

^a UNIVERSITY OF PALERMO   (Italy)

Author keywords

Integrated urban drainage modeling; Model approaches; Uncertainty assessment; Water quality management

Indexed keywords

BEST MODEL; BIOLOGICAL OXYGEN DEMAND; BIOLOGICAL PROCESS; DEOXYGENATIONS; EPHEMERAL RIVER; GAIN INSIGHT; GENERALIZED LIKELIHOOD UNCERTAINTY ESTIMATION; LARGE RIVERS; MODEL ALGORITHMS; MODEL APPROACHES; MODEL CALIBRATION; MODEL COMPONENTS; MODEL PERFORMANCE; MODEL UNCERTAINTIES; MODELING APPROACH; MODELING PROCEDURE; OXYGEN CONCENTRATIONS; PARAMETER UNCERTAINTY; PARAMETERS CHARACTERIZING; POLLUTANT SPECIES; QUALITY DATA; QUALITY MODELS; RIVER WATER; UNCERTAINTY ASSESSMENT; UNCERTAINTY BOUNDS; URBAN DRAINAGE;

BIOCHEMICAL OXYGEN DEMAND; CALIBRATION; GLUES; GLUING; MATHEMATICAL MODELS; NITROGEN; NITROGEN REMOVAL; OXYGEN; QUALITY CONTROL; QUALITY MANAGEMENT; RATING; RIVERS;

UNCERTAINTY ANALYSIS;

ALGORITHM; BIOCHEMICAL OXYGEN DEMAND; CALIBRATION; DATA QUALITY; HYDROLOGICAL MODELING; INTEGRATED APPROACH; NITROGEN; OXYGENATION; POLLUTANT REMOVAL; RIVER WATER; UNCERTAINTY ANALYSIS; URBAN DRAINAGE; WATER QUALITY;

EID: 79952288380     PISSN: 07339372     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)EE.1943-7870.0000312     Document Type: Article

References (37)

1. Beck, M. B. (1987). Water quality modelling: A review of the analysis of uncertainty.. Water Resour. Res., 23 (8), 1393-1442. 0043-1397 10.1029/WR023i008p01393 (Pubitemid 17634286)
2. Beven, K. J., and Binley, A. M. (1992). The future of distributed models-Model calibration and uncertainty prediction.. Hydrol. Processes, 6 (3), 279-298. 1099-1085 10.1002/hyp.3360060305
3. Beven, K. J., and Freer, J. (2001). Equifinality, data assimilation and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology.. J. Hydrol. (Amsterdam, Neth.) 0022-1694, 249 (1-4), 11-29. 10.1016/S0022-1694(01)00421-8 (Pubitemid 32664993)
4. Brown, L. C., and Barnwell, T. O. (1987). The enhanced stream water quality models QUAL2E and QUAL2E-UNCAS EPA/600/3-87-007., U.S. Environmental Protection Agency, Athens, GA.
5. Chapra, S. C. (1997). Surface water-Quality modelling, McGraw-Hill, New York.
6. Chapra, S., and Pellettier, G. (2003). QUAL2K: A Modeling framework for simulating river and stream water quality.. Documentation and Users Manual, Civil and Environmental Engineering Dept., Tufts University, Medford, MA.
7. Chave, P. (2001). The EU water framework directive: An introduction., IWA Publishing, London.
8. Cox, B. A. (2003). A review of dissolved oxygen modelling techniques for lowland rivers.. Sci. Total Environ. 0048-9697, 314-316 (1), 303-334. 10.1016/S0048-9697(03)00062-7 (Pubitemid 37123041)
9. Du, J., Xie, S., Xu, Y., Xu, C.-Y., and Singh, V. P. (2007). Development and testing of a simple physically-based distributed rainfall-runoff model for storm runoff simulation in humid forested basins.. J. Hydrol. (Amsterdam, Neth.), 336 (3-4), 334-346. 0022-1694 10.1016/j.jhydrol.2007.01.015 (Pubitemid 46420332)
10. Dubus, I. G., Brown, C. D., and Beulke, S. (2003). Sources of uncertainty in pesticide fate modeling.. Sci. Total Environ., 317 (1-3), 53-72. 0048-9697 10.1016/S0048-9697(03)00362-0 (Pubitemid 37433803)
11. Freer, J., Beven, K. J., and Ambroise, B. (1996). Bayesian estimation of uncertainty in runoff prediction and the value of data: An application of the GLUE approach.. Water Resour. Res., 32 (7), 2161-2174. 0043-1397 10.1029/95WR03723
12. Freer, J. E., McMillan, H., McDonnell, J. J., and Beven, K. J. (2004). Constraining dynamic TOPMODEL responses for imprecise water table information using fuzzy rule based performance measures.. J. Hydrol. (Amsterdam, Neth.) 0022-1694, 291 (3-4), 254-277. 10.1016/j.jhydrol.2003.12.037 (Pubitemid 38527208)
13. Freni, G., and Mannina, G. (2010). Bayesian approach for uncertainty quantification in water quality modelling: The influence of prior distribution.. J. Hydrol. (Amsterdam, Neth.) 0022-1694, 392 (1-2), 31-39. 10.1016/j.jhydrol. 2010.07.043
14. Freni, G., Mannina, G., and Viviani, G. (2008). Uncertainty in urban stormwater quality modelling: The effect of acceptability threshold in the GLUE methodology.. Water Res., 42 (8-9), 2061-2072. 0043-1354 10.1016/j.watres.2007. 12.014
15. Freni, G., Mannina, G., and Viviani, G. (2009 a). Identifiability analysis for receiving water body quality modeling.. Environ. Model. Software, 24 (1), 54-62. 1364-8152 10.1016/j.envsoft.2008.04.013
16. Freni, G., Mannina, G., and Viviani, G. (2009 b). Uncertainty in urban stormwater quality modelling: The influence of likelihood measure formulation in the GLUE methodology.. Sci. Total Environ. 0048-9697, 408 (1), 138-145. 10.1016/j.scitotenv.2009.09.029
17. Freni, G., Mannina, G., and Viviani, G. (2009 c). Assessment of data availability influence on integrated urban drainage modelling uncertainty.. Environ. Model. Software 1364-8152, 24 (10), 1171-1181. 10.1016/j.envsoft.2009. 03.007
18. Gupta, A. K., and Shrivastava, R. K. (2006). Uncertainty analysis of conventional water treatment plant design for suspended solids removal.. J. Environ. Eng., 132 (11), 1413-1421. 0733-9372 10.1061/(ASCE)0733-9372(2006)132: 11(1413) (Pubitemid 44596827)
19. Harremos, P. (1988). Stocastic models for estimation of extreme pollution from urban runoff.. Water Resour., 22 (8), 1017-1026. 0097-8078 10.1016/0043-1354(88)90149-2
20. Hornberger, G. M., and Spear, R. C. (1981). An approach to the preliminary analysis of environmental systems.. J. Environ. Manage. 0301-4797, 12 (1), 7-18.
21. Lamb, R., Beven, K., and Myrab, S. (1998). Use of spatially distributed water table observations to constrain uncertainty in a rainfall runoff model.. Adv. Water Resour., 22 (4), 305-317. 0309-1708 10.1016/S0309-1708(98)00020-7 (Pubitemid 29145481)
22. Lindblom, E. U., Madsen, H., and Mikkelsen, P. S. (2007). Comparative uncertainty analysis of copper loads in stormwater systems using GLUE and grey-box modelling.. Water Sci. Technol. Water Supply 1606-9749, 56 (6), 11-18. (Pubitemid 350065897)
23. Mannina, G., and Viviani, G. (2010 a). Water quality modelling for ephemeral rivers: Model development and parameter assessment.. J. Hydrol. (Amsterdam, Neth.) 0022-1694, 393 (3-4), 186-196. 10.1016/j.jhydrol.2010.08.015
24. Mannina, G., and Viviani, G. (2010 b). A parsimonious dynamic model for river water quality assessment.. Water Sci. Technol. 0273-1223, 61 (3), 607-618. 10.2166/wst.2010.865
25. Mannina, G., and Viviani, G. (2010 c). A hydrodynamic water quality model for propagation of pollutants in rivers.. Water Sci. Technol. 0273-1223, 62 (2), 288-299. 10.2166/wst.2010.285
26. Mantovan, P., and Todini, E. (2006). Hydrological forecasting uncertainty assessment: Incoherence of the GLUE methodology.. J. Hydrol. (Amsterdam, Neth.), 330 (1), 368-381. 0022-1694 10.1016/j.jhydrol.2006.04.046 (Pubitemid 44528546)
27. Marsili-Libelli, S., and Giusti, E. (2008). Water quality modelling for small river basins.. Environ. Model. Software, 23 (4), 451-463. 1364-8152 10.1016/j.envsoft.2007.06.008 (Pubitemid 350117727)
28. Nash, J. E., and Sutcliff, J. V. (1970). River flow forecasting through the conceptual model. Part 1: A discussion of principles.. J. Hydrol. (Amsterdam, Neth.) 0022-1694, 10 (3), 282-290. 10.1016/0022-1694(70)90255-6
29. Radwan, M., Willems, P., El-sadek, A., and Berlamont, J. (2003). Modelling of dissolved oxygen and biochemical oxygen demand in river water using a detailed and a simplified model.. Int. J. River Basin Manage. 1571-5124, 1 (2), 97-103. 10.1080/15715124.2003.9635196
30. Refsgaard, J. C., Van der Sluijs, J. P., Hjberg, A. L., and Vanrolleghem, P. A. (2007). Uncertainty in the environmental modelling process-A framework and guidance.. Environ. Model. Software 1364-8152, 22 (11), 1543-1556. 10.1016/j.envsoft.2007.02.004 (Pubitemid 46964938)
31. Reichert, P., (2001). River water quality model no.1., IWA, London.
32. Sorooshian, S., and Gupta, V. (1983). Automatic calibrations of conceptual rainfall-Runoff models: The question of parameter observability and uniqueness.. Water Resour. Res., 19 (1), 260-268. 0043-1397 10.1029/ WR019i001p00260 (Pubitemid 14256110)
33. Thomann, R. V., and Mueller, J. A. (1987). Principles of surface water quality modeling and control., Harper and Row, New York, 644.
34. Thorndahl, S., Beven, K. J., Jensen, J. B., and Schaarup-Jensen, K. (2008). Event based uncertainty assessment in urban drainage modelling, applying the GLUE methodology.. J. Hydrol. (Amsterdam, Neth.) 0022-1694, 357 (3-4), 421-437. 10.1016/j.jhydrol.2008.05.027
35. Vezzaro, L., Ledin, A., and Mikkelsen, P. S. (2010). Integrated modelling of priority pollutants in stormwater systems.. Proc. IDRA Conf., Palermo, Italy.
36. Wagenschein, D., and Rode, M. (2008). Modelling the impact of river morphology on nitrogen retention-A case study of the Weisse Elster River (Germany).. Ecol. Model. 0304-3800, 211, 224-232. 10.1016/j.ecolmodel.2007.09. 009
37. Wool, T. A., Ambrose, R. B., Martin, J. L., and Comer, E. A. (2006). Water quality analysis simulation program (WASP) version 6.0 draft: User's manual, U.S. Environmental Protection Agency, Athens, GA.