The influence of parameter distribution uncertainty on hydrological and sediment modeling: A case study of SWAT model applied to the Daning watershed of the Three Gorges Reservoir Region, China

Stochastic Environmental Research and Risk Assessment

Volumn 27, Issue 1, 2013, Pages 235-251

  Zhenyao, Shen ^a   Lei, Chen ^a   Tao, Chen ^a,b  

^a BEIJING NORMAL UNIVERSITY   (China)

^b Zhonglu Environmental and Engineering Assessment Center of Shandong Province   (China)

Author keywords

Monte Carlo method; Parameter distribution; SWAT; Three Gorges Reservoir Region; Uncertainty

Indexed keywords

CALIBRATION; FORECASTING; MONTE CARLO METHODS; NORMAL DISTRIBUTION; RESERVOIRS (WATER); SEDIMENTS; UNCERTAINTY ANALYSIS; WATERSHEDS;

LOGARITHMIC NORMAL DISTRIBUTION; PARAMETER DISTRIBUTIONS; SEMI-DISTRIBUTED MODEL; SOIL AND WATER ASSESSMENT TOOL; SWAT; THREE GORGES RESERVOIR REGION; UNCERTAINTY; WATERSHED CHARACTERISTICS;

DISTRIBUTION FUNCTIONS;

ENVIRONMENTAL ASSESSMENT; FLUVIAL DEPOSIT; HYDROLOGICAL MODELING; MONTE CARLO ANALYSIS; PARAMETERIZATION; SENSITIVITY ANALYSIS; SOIL WATER; UNCERTAINTY ANALYSIS; WATERSHED;

CHINA; THREE GORGES RESERVOIR;

EID: 84871407515     PISSN: 14363240     EISSN: 14363259     Source Type: Journal    
DOI: 10.1007/s00477-012-0579-8     Document Type: Article

References (61)

1. Abaci O, Papanicolaou AN (2009) Long-term effects of management practices on water-driven soil erosion in an intense agricultural sub-watershed: monitoring and modelling. Hydro Process 23: 2818-2837.
2. Abbott MB, Bathhurst JC, Cunge JA (1986) An introduction to the European hydrological system-systeme hydrologique Europpen, "SHE", 2: structure of a physically-based distributed modeling system. J Hydrol 87: 61-77.
3. Arabi M, Govindaraju RS, Hantush MM (2007) A probabilistic approach for analysis of uncertainty in the evaluation of watershed management practices. J Hydrol 333: 459-471.
4. Arnold JG, Srinivasan R, Muttiah RS, Williams JR (1998) Large area hydrologic modeling and assessment part I: model development. J Am Water Resour Assoc 34: 73-89.
5. Beck MB (1987) Water quality modeling: a review of the analysis of uncertainty. Water Resour Res 23: 1393-1442.
6. Bekele EG, Nicklow JW (2007) Multi-objective automatic calibration of SWAT using NSGA-II. J Hydrol 341: 165-176.
7. Benaman J, Shoemaker CA (2004) Methodology for analyzing ranges of uncertain model parameters and their impact on total maximum daily load process. J Environ Eng-ASCE 130: 648-656.
8. Bobba AG, Bourbonniere RA, Singh VP, Bengtsson L (1996) Numerical simulation model of fatty acids in lake sediments. Water Air Soil Poll 89: 77-90.
9. Cibin R, Sudheer KP, Chaubey I (2010) Sensitivity and identifiability of stream flow generation parameters of the SWAT model. Hydro Process 24: 1133-1148.
10. Duan Q, Sorooshian S, Gupta VK (1992) Effective and efficient global optimization for conceptual rainfall-streamflow models. Water Resour Res 28: 1015-1031.
11. Eckhardt K, Breue L, Frede HG (2003) Parameter uncertainty and the significance of simulated land use change effects. J Hydrol 273: 164-176.
12. Francos A, Elorza FJ, Bouraou F, Bidoglio G, Galbiat L (2003) Sensitivity analysis of distributed environmental simulation models: Understanding the model behaviour in hydrological studies at the catchment scale. Reliab Eng Syst Safe 79: 205-218.
13. Freissinet C, Vaucli M, Erlich M (1999) Comparison of first-order analysis and fuzzy set approach for the evaluation of imprecision in a pesticide groundwater pollution screening model. J Contam Hydro 37: 21-43.
14. Gassman PW, Reyes M, Green CH, Arnold JG (2007) The soil and water assessment tool: historical development, applications, and future directions. Trans ASAE 50: 1212-1250.
15. Geza M, Poeter EP, McCray JE (2009) Quantifying predictive uncertainty for a mountain-watershed model. J Hydrol 376: 170-181.
16. Ghaffari G, Keesstra S, Ghodousi J, Ahmad H (2010) SWAT-simulated hydrological impact of land-use change in the Zanjanrood Basin, Northwest Iran. Hydro Process 24: 892-903.
17. Huisman J, Breuer AL, Frede HG (2004) Sensitivity of simulated hydrological fluxes towards changes in soil properties in response to land use change. Phys Chem Earth 29: 749-758.
18. Isaac RA (1997) Estimation of nutrient loadings and their impacts on dissolved oxygen demonstrated at Mt. Hope Bay Environ Inter 23: 151-165.
19. Jin X, Xu CY, Zhang Q, Singh VP (2010) Parameter and modeling uncertainty simulated by GLUE and a formal Bayesian method for a conceptual hydrological model. J Hydrol 383: 147-155.
20. Kannan N, White SM, Worrall F, Whelan MJ (2007) Sensitivity analysis and identification of the best evapotranspiration and streamflow options for hydrological modelling in SWAT-2000. J Hydrol 332: 456-466.
21. Kao JJ, Hong HJ (1996) NPS model parameter uncertainty analysis for an off-stream reservoir. J Am Water Resour Assoc 32: 1067-1079.
22. Kim NW, Chung IM, Won YS, Arnold JG (2008) Development and application of the integrated SWAT-MODFLOW model. J Hydrol 356: 1-16.
23. Kingston DG, Taylor RG (2010) Sources of uncertainty in climate change impacts on river discharge and groundwater in a headwater catchment of the Upper Nile Basin, Uganda. Hydrol Earth Syst Sci 14: 1297-1308.
24. Lei JH, Schilling W (1994) Parameter uncertainty propagation analysis for urban rainfall modeling. Water Sci Technol 29: 145-154.
25. Lenhart T, Eckhardt K, Fohrer N, Frede HG (2002) Comparison of two different approaches of sensitivity analysis. Phys Chem Earth 27: 645-654.
26. Levy JK, Hall JW (2005) Advances in flood risk management under uncertainty. Stoch Environ Res Risk A 19: 375-377.
27. Li ZL, Xu ZG, Shao QX, Yang J (2009) Parameter estimation and uncertainty analysis of SWAT model in upper reaches of the Heihe river basin. Hydro Process 23: 2744-2753.
28. Li ZL, Shao QX, Xu ZX, Cai XT (2010) Analysis of parameter uncertainty in semi-distributed hydrological models using bootstrap method: A case study of SWAT model applied to Yingluoxia watershed in northwest China. J Hydrol 385: 76-83.
29. Liao YL, Wang JF, Guo YQ, Zheng XY (2010) Risk assessment of human neural tube defects using a Bayesian belief network. Stoch Environ Res Risk A 24: 93-100.
30. Lu HW, Huang GH, He L (2009) An inexact programming method for agricultural irrigation systems under parameter uncertainty. Stoch Environ Res Risk A 23: 759-768.
31. Luo B, Zhou D (2009) Planning hydroelectric resources with recourse-based multistage interval-stochastic programming. Stoch Environ Res Risk A 23: 65-73.
32. Melching CS, Yoon CG (1996) Key sources of uncertainty in QUAL2E model of Passaic River. J Water Resour 122: 105-113.
33. Migliaccio KW, Chaubey I (2008) Spatial distributions and stochastic parameter influences on SWAT flow and sediment predictions. J Hydro Eng 13: 258-269.
34. Miller SA, Landis AE, Theis TL (2006) Use of Monte Carlo analysis to characterize nitrogen fluxes in agroecosystems. Environ Sci Technol 40: 2324-2332.
35. Muleta MK, Nicklow JW (2005) Sensitivity and uncertainty analysis coupled with automatic calibration for a distributed watershed model. J Hydrol 306: 127-145.
36. Murdoch EG, Whelan MJ (2005) Incorporating uncertainty into predictions of diffuse-source phosphorus transfers (using readily available data). Water Sci Technol 51: 339-346.
37. Nandakumar N, Mein RG (1997) Uncertainty in rainfall-streamflow model simulations and the implications for predicting the hydrologic effects of land-use change. J Hydrol 192: 211-232.
38. Parajuli PB, Douglas-Mankin KR, Barnes PL, Rossi CG (2009) Fecal bacteria source characterization and sensitivity analysis of SWAT 2005. Trans ASAE 52: 1847-1858.
39. Parson SC (1995) The impact of input parameter uncertainty on decision making with the agricultural non-point source pollution model. Dissertation, Pennsylvania State University.
40. Ruark M, Niemann J, Greimann B, Arabi M (2011) Method for assessing impacts of parameter uncertainty in sediment transport modeling. J Hydraul Eng 137: 623-636.
41. Setegn SG, Srinivasan R, Melesse AM, Dargahi B (2010) SWAT model application and prediction uncertainty analysis in the Lake Tana Basin, Ethiopia. Hydrol Process 24: 357-367.
42. Shen ZY, Hong Q, Yu H (2008) Parameter uncertainty analysis of the non-point source pollution in the Daning River watershed of the Three Gorges Reservoir Region, China. Sci Total Environ 405: 195-205.
43. Shen ZY, Hong Q, Yu H (2010) Parameter uncertainty analysis of non-point source pollution from different land use types. Sci Total Environ 408: 1971-1978.
44. Shen ZY, Chen L, Chen T (2012) Analysis of parameter uncertainty in hydrological and sediment modeling using GLUE method: a case study of SWAT model applied to Three Gorges Reservoir Region, China. Hydrol Earth Syst Sci 16: 121-132.
45. Sohrabi TM, Shirmohammadi A, Chu TW, Montas H, Nejadhashem AP (2003) Uncertainty analysis of hydrologic and water quality predictions for a small watershed using SWAT2000. Environ Forensics 4: 229-238.
46. Sudheer KP, Lakshmi G, Chaubey I (2011) Application of a pseudo simulator to evaluate the sensitivity of parameters in complex watershed models. Environ Model Softw 26: 135-143.
47. Sun FJ, Chen Q, Tong S, Zeng S (2008) Managing the performance risk of conventional waterworks in compliance with the natural organic matter regulation. Water Res 42: 229-237.
48. Vachaud G, Chen T (2002) Sensitivity of a large-scale hydrologic model to quality of input data obtained at different scales; distributed versus stochastic non-distributed modeling. J Hydrol 264: 101-112.
49. van GA, Meixner T (2007) A global and efficient multi-objective auto-calibration and uncertainty estimation method for water quality catchment models. J Hydro 9: 277-291.
50. van GA, Breuer L, Di LM (2006) Environmental and ecological hydroinformatics to support the implementation of the European water framework directive for river basin management. J Hydro 8: 239-252.
51. van GA, Meixner T, Srinivasan R, Grunwals S (2008) Fit-for-purpose analysis of uncertainty using split-sampling evaluations. Hydro Sci J 53: 1090-1103.
52. Vrugt JA, Gupta HV, Bouten W, Sorooshian S (2003) A shuffled complex evolution metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters. Water Resour Res 39: 1201-1216.
53. Wang S, Huang GH (2011) Interactive two-stage stochastic fuzzy programming for water resources management. J Environ Manage 92: 1986-1995.
54. Warwick JJ, Wilson JS (1990) Estimating uncertainty of storm water streamflow computations. J Water Res Plan 116: 187-204.
55. Wu J (2004) Water-quality-based BMP approach and uncertainty analysis for integrated watershed management. Dissertation, University of Virginia.
56. Yang J, Reichert P, Abbaspour KC (2007) Hydrological modelling of the chaohe basin in china: Statistical model formulation and Bayesian inference. J Hydrol 340: 167-182.
57. Yang J, Reichert P, Abbaspour KC, Xia J, Yang H (2008) Comparing uncertainty analysis techniques for a SWAT application to the Chaohe Basin in China. J Hydrol 358: 1-23.
58. Yoon CG (1994) Uncertainty analysis in stream water quality modeling: Reliability and data collection for variance reduction. Dissertation, Rutgers, The State University of New Jersey.
59. Zhang HX (2001) The critical flow-storm approach and uncertainty analysis for the TMDL develop process. Dissertation, University of Virginia.
60. Zhang H, Huang GH, Wang DL, Zhang XD (2010) Uncertainty assessment of climate change impacts on the hydrology of small prairie wetlands. J Hydrol 396: 94-103.
61. Zhang XD, Huang GH, Nie XH (2011) A possibilistic stochastic water management model for agricultural nonpoint source pollution. J Water Resour Plan Manage 137: 101-112.