Exploring the physical controls of regional patterns of flow duration curves Part 2: Role of seasonality, the regime curve, and associated process controls

Hydrology and Earth System Sciences

Volumn 16, Issue 11, 2012, Pages 4447-4465

  Ye, S ^a   Yaeger, M ^b   Coopersmith, E ^b   Cheng, L ^c   Sivapalan, M ^a,b  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b University of Illinois at Urbana Champaign   (United States)

^c CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURAL CATCHMENTS; APPALACHIAN MOUNTAINS; COMPLEX DYNAMICS; COMPLEX MODEL; DATA SETS; DOMINANT PROCESS; FLOW DURATION CURVE; HUMAN ACTIVITIES; KEY CONTROL; LUMPED MODELS; MODEL COMPLEXITY; MODEL PERFORMANCE; MODELING APPROACH; PERFORMANCE METRICES; PHYSICAL CONTROL; PROCESS UNDERSTANDING; RAINFALL RUNOFF; REGIONAL PATTERN; REGIONAL TRENDS; SEASONAL DEPENDENCE; SEASONAL VARIATION; SEASONALITY; SNOWMELT; STREAMFLOW VARIABILITY; TIME DEPENDENCE; TOPDOWN; VEGETATION COVER; WEST COAST;

CATCHMENTS; CLIMATOLOGY; DYNAMICS; PHENOLS; PROCESS CONTROL; RUNOFF; SNOW MELTING SYSTEMS; STREAM FLOW; VEGETATION;

ELECTRIC CONTROL EQUIPMENT;

AGRICULTURAL CATCHMENT; ANTHROPOGENIC EFFECT; CATCHMENT; CLIMATE EFFECT; CURVATURE; DATA SET; ENVIRONMENTAL FACTOR; FLOW PATTERN; HYDROLOGICAL MODELING; HYDROLOGICAL REGIME; INTERCEPTION; MOUNTAIN REGION; PRECIPITATION (CLIMATOLOGY); RUNOFF; SEASONALITY; SENSITIVITY ANALYSIS; SNOWMELT; STREAMFLOW; TEMPORAL VARIATION; TOP-DOWN APPROACH; VEGETATION COVER; VEGETATION DYNAMICS;

UNITED STATES;

EID: 84870287826     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-16-4447-2012     Document Type: Article

References (55)

1. Akaike, H.: A new look at statistical model identification, IEEE T. Automat. Contr., AU-19, 716-722, 1974.
2. Bai, Y., Wagener, T., and Reed, P.: A top-down framework for watershed model evaluation and selection under uncertainty, Environ. Modell. Softw., 24, 901-916, doi:10.1016/j.envsoft.2008.12.012, 2009.
3. Beven, K. J.: Rainfall-runoff modelling, the primer, John Wiley & Sons, Chichester, UK, 2001.
4. Black, P. E.: Watershed Hydrology, 450 pp., CRC Press, Boca Raton, Fla, 1996.
5. Biondi, D., Freni, G., Iacobellis, V., Mascaro, G., and Montanari, A.: Validation of hydrological models: Conceptual basis, methodological approaches and a proposal for a code of practice, Phys. Chem. Earth, 42-44, 70-76, doi:10.1016/j.pce.2011.07.037, 2012.
6. Brooks, P. D., Troch, P. A., Durcik, M., Gallo, E., and Schlegel, M.: Quantifying regional scale ecosystem response to changes in precipitation: Not all rain is created equal, Water Resour. Res., 47, W00J08, doi:10.1029/ 2010WR009762, 2011.
7. Calder, I. R.: Evaporation in the uplands, John Wiley & Sons, Chichester, UK, 1990.
8. Cheng, L., Yaeger, M., Viglione, A., Coopersmith, E., Ye, S., and Sivapalan, M.: Exploring the physical controls of regional patterns of flow duration curves - Part 1: Insights from statistical analyses, Hydrol. Earth Syst. Sci., 16, 4435-4446, doi:10.5194/hess-16-4435-2012, 2012.
9. Coopersmith, E., Yaeger, M. A., Ye, S., Cheng, L., and Sivapalan, M.: Exploring the physical controls of regional patterns of flow duration curves - Part 3: A catchment classification system based on regime curve indicators, Hydrol. Earth Syst. Sci., 16, 4467- 4482, doi:10.5194/hess-16-4467-2012, 2012.
10. Deguchi, A., Hattori, S., and Park, H.: The influence of seasonal changes in canopy structure on interception loss: Application of the revised Gash model, J. Hydrol., 318, 80-102, 2006. (Pubitemid 43120789)
11. Dooge, J. C. I.: Looking for hydrologic laws, Water Resour. Res., 22, 46S-58S, 1986.
12. Eder, G., Sivapalan, M., and Nachtnebel, H. P.: Modelling water balances in an Alpine catchment through exploitation of emergent properties over changing time scales, Hydrol. Process., 17, 2125-2149, 2003. (Pubitemid 37106048)
13. Endres, T. J.,Werner, S. E., Ennis, J. D., and Voss, E. E.: Soil survey of Champaign County, US Department of Agriculture-Natural Resources Conservation Service and Illinois Agricultural Experiment Station, USDA, Washington, DC, 2001.
14. Engelhardt, I., De Aguinaga, J. G., Mikat, H., Schuth, C., Lenz, O., and Liedl, R.: Complexity versus simplicity: an example of groundwater model ranking with the Akaike Information Criterion, Hydrol. Earth Syst. Sci. Discuss., 9, 9687-9714, doi:10.5194/hessd-9-9687-2012, 2012.
15. Falkenmark, M. and Chapman, T.: Comparative Hydrology: An Ecological Approach to Land and Water Resources, UNESCO, Paris. 310 pp., 1989.
16. Farmer, D., Sivapalan, M., and Jothityangkoon, C.: Climate, soil and vegetation controls upon the variability of water balance in temperate and semi-arid landscapes: Downward approach to hydrological prediction, Water Resour. Res., 39, 1035, doi:10.1029/2001WR000328, 2003.
17. Fernald, E. A. and Purdum, E. D.:Water Resources Atlas of Florida. Institute of Science and Public Affairs, Florida State University, Tallahassee, Florida. Atlas available at Marston Science Library, University of Florida, 1998.
18. Freer, J., Beven, K., and Ambroise, B.: Bayesian estimation of uncertainty in streamflow prediction and the value of data: An application of the GLUE approach, Water Resour. Res., 32, 2161- 2173, 1996.
19. Gupta, H. V., Kling, H., Yilmaz, K. K., and Martinez, F.: Decomposition of the mean squared error and NSE performance criteria: Implications from improving hydrological modeling, J. Hydrol., 377, 80-91, 2009.
20. Hamon, R. W., Weiss, L. L., and Wilson, W. T.: Insolation as an Empirical Function of Daily Sunshine Duration, Mon. Weather Rev., 82, 141-146, 1954.
21. Harman, C. J., Troch, P. A., and Sivapalan, M.: Functional model of water balance variability at the catchment scale: 2. Elasticity of fast and slow streamflow components to precipitation change in the continental United States, Water Resour. Res., 47, W02523, doi:10.1029/2010WR009656, 2011.
22. Harte, J.: Toward a synthesis of the Newtonian and Darwinian worldviews, Phys. Today, 50, 29-34, 2002. (Pubitemid 35328774)
23. Hatfield, J. L., McMullen, L. D., and Jones, C. S.: Nitratenitrogen patterns in the Raccoon River Basin related to agricultural practices, J. Soil Water Conserv., 64, 190-199, doi:10.2489/jswc.64.3.190, 2009.
24. Keim, R. F., Thromp-van Meerveld, H. J., and McDonnell, J. J.: A virtual experiment on the effects of evaporation and intensity smoothing by canopy interception on subsurface stormflow generation, J. Hydrol., 327, 352-364, 2006. (Pubitemid 44160478)
25. Klemes, V.: Conceptualization and scale in hydrology, J. Hydrol., 65, 1-23, 1983.
26. Jolly, W., Nemani, R., and Running, S.: A generalized bioclimatic index to predict foliar phenology in response to climate, Glob. Change Biol., 11, 619-632, 2005. (Pubitemid 40560555)
27. Jothityangkoon, C., Sivapalan, M., and Farmer, D.: Process controls of water balance variability in a large semi-arid catchment: Downward approach to hydrological model development, J. Hydrol., 254, 174-198, 2001. (Pubitemid 33136587)
28. Kuczera, G. and Parent, E.: Monte Carlo assessment of parameter uncertainty in conceptual catchment models: The Metropolis algorithm, J. Hydrol., 211, 69-85, doi:10.1016/S0022- 1694(98)00198-X, 1998. (Pubitemid 29014557)
29. Lana-Renault, N., Latron, J., and Regues, D.: Stream response and water-table dynamics in a sub-Mediterranean research catchment (Central Pyrenees), J. Hydrol., 347, 497-507, 2007. (Pubitemid 350130257)
30. Li, H., Sivapalan, M., and Tian, F.: Comparative diagnostic analysis of streamflow generation processes in Oklahoma DMIP2 basins: The Blue River and the Illinois River, J. Hydrol., 418-419, 90-109, doi:10.1016/j.jhydrol.2010.08.005, 2011.
31. Liu, S.: A new model for the prediction of rainfall interception in forest canopies, Ecol. Model., 99, 151-159, 1997. (Pubitemid 27218609)
32. Lyne, V. and Hollick, M.: Stochastic time-variable rainfall-runoff modelling, in Proceedings, Institute of Engineers Australia National Conference, Perth, 10-12 September 1979, Inst. Engrs., Canberra, Australia, ACT. Publ. 79/10, 89-93, 1979.
33. Marin, T. C., Bouten, W., and Sevink, J.: Gross rainfall and its partitioning into throughfall, streamflow and evaporation of intercepted water in four forest ecosystems in western Amazonia, J. Hydrol., 237, 40-57, 2000. (Pubitemid 32176535)
34. McDonnell, J. J., Sivapalan, M., Vach'e, K., Dunn, S., Grant, G., Haggerty, R., Hinz, C., Hooper, R. P., Kirchner, J. W., Roderick, M. L., Selker, J., and Weiler, M.: Moving beyond heterogeneity and process complexity: A new vision for watershed hydrology, Water Resour. Res., 43, W07301, doi:10.1029/2006WR005467, 2007. (Pubitemid 350194455)
35. McGuire, K. J., McDonnell, J. J.,Weiler, M., Kendall, C., McGlynn, B. L., Welker, J. M., and Seibert, J.: The role of topography on catchment-scale water residence time, Water Resour. Res., 41, W05002, doi:10.1029/2004WR003657, 2005. (Pubitemid 40856452)
36. McIsaac, G. F., David, M. B., and Mitchell, C. A.: Miscanthus and switchgrass production in Central Illinois: impacts on hydrology and inorganic nitrogen leaching, J. Environ. Qual., 39, 1790- 1799, 2010.
37. Merz, R. and Bloschl, G.: Regionalisation of catchment model parameters, J. Hydrol., 287, 95-123, 2004. (Pubitemid 38300324)
38. Metropolis, N., Rosenbluth, A.W., Rosenbluth, M. N., Teller, A. H., and Teller, E.: Equations of state calculations by fast computing machines, J. Chem. Phys., 21, 1087-1091, 1953.
39. NOAA Technical report NWS 33: Evaporation atlas for the contiguous 48 United States, Washington, DC, 1982.
40. Opsahl, S. P., Chapal, S. E., Hicks, D. W., and Wheeler, C. K.: Evaluation of ground-water and surface-water exchanges using streamflow difference analyses, J. Am. Water Resour. As., 5, 1132-1141, 2007. (Pubitemid 47416607)
41. Patil, S. and Stieglitz, M.: Hydrologic similarity among catchments under variable flow conditions, Hydrol. Earth Syst. Sci., 15, 989- 997, doi:10.5194/hess-15-989-2011, 2011.
42. Penman, H. L.: Natural Evaporation from Open Water, Bare Soil and Grass, Proc. R. Soc. Lon. Ser.-A, Vol. 193, 120-145, April 1948.
43. Samuel, J. M., Sivapalan, M., and Struthers, I.: Diagnostic analysis of water balance variability: A comparative modeling study of catchments in Perth, Newcastle, and Darwin, Australia, Water Resour. Res., 44, W06403, doi:10.1029/2007WR006694, 2008.
44. Savenije, H. H. G.: The importance of interception and why we should delete the term evapotranspiration, Hydrol. Process., 18, 1507-1512, 2004.
45. Sawicz, K., Wagener, T., Sivapalan, M., Troch, P. A., and Carrillo, G.: Catchment classification: empirical analysis of hydrologic similarity based on catchment function in the eastern USA, Hydrol. Earth Syst. Sci., 15, 2895-2911, doi:10.5194/hess-15-2895- 2011, 2011.
46. Sivapalan, M.: Pattern, process and function: Elements of a newunified hydrologic theory at the catchment scale, in Encyclopaedia ofHydrologic Sciences, Vol. 1, Part 1, edited by: Anderson, M. G., Chap. 13, 193-219, John Wiley, Hoboken, N. J., 2005.
47. Sivapalan, M.: The secret to "doing better hydrological science": Change the question!, Hydrol. Process., 23, 1391-1396, doi:10.1002/hyp.7242, 2009.
48. Sivapalan, M., Bloschl, G., Zhang, L., and Vertessy, R.: Downward approach to hydrological prediction, Hydrol. Process., 17, 2101- 2111, doi:10.1002/hyp.1425, 2003. (Pubitemid 37106047)
49. Sivapalan, M., Thompson, S. E., Harman, C. J., Basu, N. B., and Kumar, P.:Water cycle dynamics in a changing environment: Improving predictability through synthesis, Water Resour. Res., 47, W00J01, doi:10.1029/2011WR011377, 2011.
50. Thompson, S. E., Harman, C. J., Konings, A. G., Sivapalan, M., Neal, A., and Troch, P. A.: Comparative hydrology across Ameriux sites: the variable roles of climate, vegetation and groundwater, Water. Resour. Res., W00J07, doi:10.1029/2010WR009797, 2011.
51. Troch, P. A., Martinez, G. F., Pauwels, V. R. N., Durcik, M., Sivapalan, M., Harman, C., Brooks, P. D., Gupta, H., and Huxman, T.: Climate and vegetation water use efficiency at catchment scales, Hydrol. Process., 23, 2409-2414, doi:10.1002/hyp.7358, 2009.
52. Wagener, T., Sivapalan, M., Troch, P. A., and Woods, R. A.: Catchment classification and hydrologic similarity, Geog. Comp., 1/4, 901-931, doi:10.1111/j.1749-8198.2007.00039.x, 2007.
53. Yaeger, M., Coopersmith, E., Ye, S., Cheng, L., Viglione, A., and Sivapalan, M.: Exploring the physical controls of regional patterns of flow duration curves - Part 4: A synthesis of empirical analysis, process modeling and catchment classification, Hydrol. Earth Syst. Sci., 16, 4483-4498, doi:10.5194/hess-16-4483- 2012, 2012.
54. Yokoo, Y. and Sivapalan, M.: Towards reconstruction of the flow duration curve: development of a conceptual framework with a physical basis, Hydrol. Earth Syst. Sci., 15, 2805-2819, doi:10.5194/hess-15-2805-2011, 2011.
55. Zucker, L. A. and Brown, L. C.: Agricultural Drainage:Water Quality Impacts and Subsurface Drainage Studies in the Midwest, Ohio State University Extension Bulletin 871, the Ohio State University, Columbus, USA, 1998.