Application of a conceptual hydrologic model in teaching hydrologic processes

International Journal of Engineering Education

Volumn 26, Issue 4, 2010, Pages 963-973

  Aghakouchak, Amir ^a   Habib, Emad ^a  

^a University of Louisiana at Lafayette   (United States)

Author keywords

Conceptual thinking; Hands on laboratory program; Hydrologic modeling; Hydrology education; Interdisciplinary application oriented learning environment

Indexed keywords

EID: 77956446780     PISSN: 0949149X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (30)

1. NRC, Opportunities in the Hydrologic Sciences, National Academy Press, Washington, D. C., 1991.
2. J. Nash, E, Eagleson, P. S., Phillip, J. R. and W. H. van der Molen, The education of hydrologists (Report of the IAHS-UNESCO Panel), Hydrolog. Sci. J., 35(6), 1990, 97-607.
3. NRC, Inquiry and the National Science Education Standards: A Guide for Teaching and Learning. National Academy Press, Washington, D. C. 2000.
4. CUAHS, Hydrology of a Dynamic Earth: A Decadal Research Plan for Hydrologic Science, CUAHSI Science Plan draft version 7.0, 2007.
5. K. Beven, Rainfall-Runoff Modelling: The Primer, John Wiley and Sons (2001).
6. J. Williams, Computer Models of Watershed Hydrology, Editor: V. Singh, Water Resources Publications, Colorado, USA, 1995.
7. T. de Jong and W. Van Joolingen, Scientific discovery learning with computer simulations of conceptual domains. Review of Educational Research 68(2), 1998, 179-202.
8. J. Linsey, A. Talley, C. White, D. Jensen and K. Wood, From tootsie rolls to broken bones: An innovative approach for active learning in mechanics of materials, Advances in Engineering Education, 2009, 1-23.
9. E. Alpay, A. Ahearn, R. Graham and A. Bull, Student enthusiasm for engineering: charting changes in student aspirations and motivation. Euro. J. Eng. Educ. 33(5), 2008, 573-585.
10. J. Grandin, Preparing engineers for the global workplace. Online J. Global Eng. 1(1), 2008.
11. H. Chanson and P. James, Teaching Case Studies in Reservoir Siltation and Catchment Erosion, Int. J. Eng. Educ., 14(4), 1998, 265-275.
12. D. Hansen, W. Cavers and G. George, Physical Linear Cascade to Teach Systems Modelling, Int. J. Eng. Educ, 19(5), 2003, 682-695.
13. A. Elshorbagy, Learner-centered approach to teaching watershed hydrology using system dynamics. Int. J. Eng. Educ. 21(6), 2005, 1203-1213.
14. T. A. Endreny, Simulation of Soil Water Infiltration with Integration, Differentiation, Numerical Methods & Programming Exercises, Int. J. Eng. Educ., 23(3), 2007, 608-617.
15. D. Hayes and R. Young, Comparison of peak discharge and runoff characteristic estimates from the rational method to field observations for small basins in central Virginia. USGS Scientific Investigations Report 2005-5254, US Geological Survey 2005.
16. T. Mulvaney, On the use of self-registering rain and flood gauges in making observations of the relations of rainfall and of flood discharges in a given catchment. Proceeding of the Institute of Civil Engineers of Ireland 4, 1851.
17. V. P. Singh and D. A. Woolhiser, Mathematical Modeling of Watershed Hydrology, J. Hydrol. Eng. ASCE 7(4), 2002, 269-343.
18. SCS, National engineering handbook, section 40 (hydrology). Soil Conservation Service, US Department of Agriculture, 1972.
19. S. Bergström, Development and application of a conceptual runoff model for Scandinavian catchments, SMHI RHO 7, Norrköping, Sweden, 1976.
20. S. Bergstrom, The HBV model, computer models of watershed hydrology (Ed. V. P. Singh). Water Resources Publications, 1995.
21. G. Lindström, A simple automatic calibration routine for the HBV model. Nordic Hydrology 28(3), 1997, 153-168.
22. Y. H. Hundecha and A. Bárdossy, Modeling of the effect of land use changes on the runoff generation of a river basin through parameter regionalization of a watershed model. J. Hydrology 292, 2004, 281-295.
23. U. Ehret, Rainfall and Flood Nowcasting in Small Catchments using Weather Radar, Doctoral Thesis, Institute of Hydraulic Engineering, University of Stuttgart, Germany, 2002.
24. T. Das, A. Bárdossy and E. Zehe, Influence of spatial variability of precipitation on distributed rainfall-runoff modeling. IAHS Publication 303: Promise and Progress (Eds) M. Sivapalan, T. Wagener, S. Uhlenbrook, E. Zehe, V. Lakshmi, X. Liang, Y. Tachikawa and P. Kumar), 2006.
25. E. Kuusisto, On the values and variability of degree-day melting factor in Finland. Nordic Hydrology 11, 1980, 235-242.
26. P. Singh and N. Kumar, Determination of snowmelt factor in the Himalayan region. Hydrolog. Sci. J. 41, 1996, 301-310.
27. Y. H. Hundecha, Regionalization of parameters of a conceptual rainfall-runoff model, Doctoral Dissertation, Institute of Hydraulic Engineering, Universität Stuttgart, Sprint-Digital-Druck GmbH, 2005.
28. J. E. Nash and J. V. Sutcliffe, River flow forecasting through conceptual models, Part I. A discussion of principles. J. Hydrology 10, 1970, 282-290.
29. E. Seymour, D. Wiese, A. Hunter and S. M. Daffinrud, Creating a Better Mousetrap: On-line Student Assessment of their Learning Gains, National Meeting of the American Chemical Society, San Francisco, CA, 2000.
30. J. Freer, B. Ambroisc and K. J. Beven, Bayesian estimation of uncertainty in runoff prediction and the value of data: an application of the GLUE approach. Water Resources Research 32(7), 1996, 2161-2173.