SWAT and Wavelet Analysis for Understanding the Climate Change Impact on Hydrologic Response

Abstract

Quantifying the hydrological response to an increased atmospheric carbon dioxide concentration and climate change is important in a watershed scale particularly from the application point of view. The specific objectives are to evaluate the climate change impact on the future water yield at the outlet of Clinch River Watershed upstream of Norris Lake in Tennessee, USA and see how the frequency of extreme water yield (e.g. flood) changes compared to present condition. The predicted future climate change by climate change scenarios A2 from community climate system model (CCSM) is applied. The model was calibrated using monthly average streamflow data from 1970 to 1989 and validated using similar data from 1990 to 2009 collected at a USGS gauging station 03528000. Changes in monthly average streamflow were estimated for long term (around 2099). Results were also interpreted in the time-frequency domain approach by showing how frequency of occurrence changes based on A2 scenario.

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S. Raj Koirala and R. W. Gentry, "SWAT and Wavelet Analysis for Understanding the Climate Change Impact on Hydrologic Response," Open Journal of Modern Hydrology, Vol. 2 No. 2, 2012, pp. 41-48. doi: 10.4236/ojmh.2012.22006.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] S. Solomon, “Intergovernmental Panel on Climate Change, and Intergovernmental Panel on Climate Change,” In: Working Group I, Climate Change 2007: The Physical Science Basis: Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change 2007, Cambridge, Cambridge University Press, New York, 996 p.
[2] X. Zhang, R. Srinivasan and F. Hao, “Predicting Hydrologic Response to Climate Change in the Luohe River Basin Using the SWAT Model,” Transactions of the ASABE, Vol. 50, No. 3, 2007, pp. 901-910.
[3] L. D. Brekke, et al., “Climate Change Impacts Uncertainty for Water Resources in the San Joaquin River Basin, California,” Journal of the American Water Resources Association, Vol. 40, No. 1, 2004, pp. 149-164. doi:10.1111/j.1752-1688.2004.tb01016.x
[4] J. G. Arnold, et al., “Large Area Hydrologic Modeling and Assessment Part 1: Model Development,” Journal of the American Water Resources Association, Vol. 34, No. 1, 1998, pp. 73-89. doi:10.1111/j.1752-1688.1998.tb05961.x
[5] D. L. Ficklin, et al., “Climate Change Sensitivity Assessment of a Highly Agricultural Watershed Using SWAT,” Journal of Hydrology, Vol. 374, No. 1-2, 2009, pp. 16-29. doi:10.1016/j.jhydrol.2009.05.016
[6] M. Jha, et al., “Climate Change Sensitivity Assessment on Upper Mississippi River Basin Streamflows Using SWAT,” Journal of the American Water Resources Association, Vol. 42, No. 4, 2006, pp. 997-1015. doi:10.1111/j.1752-1688.2006.tb04510.x
[7] N. S. Christensen and D. P. Lettenmaier, “A Multimodel Ensemble Approach to Assessment of Climate Change Impacts on the Hydrology and Water Resources of the Colorado River Basin,” Hydrology and Earth System Sciences,” Vol. 11, No. 4, 2007, pp. 1417-1434. doi:10.5194/hess-11-1417-2007
[8] D. R. Maidment, “Handbook of Hydrology,” McGraw-Hill, New York, 1993.
[9] D. R. Legates and G. J. McCabe, “Evaluating the Use of ‘Goodness-of-Fit’ Measures in Hydrologic and Hydroclimatic Model Validation,” Water Resources Research, Vol. 35, No. 1, 1999, pp. 233-241. doi:10.1029/1998WR900018
[10] P. S. Addison, “The Illustrated Wavelet Transform HandBook: Introductory Theory and Applications in Science, Engineering, Medicine and Finance 2002,” Institute of Physics Publishing, Bristol, 353 p.
[11] N. Massei, et al., “Investigating Transport Properties and Turbidity Dynamics of a Karst Aquifer Using Correlation, Spectral, and Wavelet Analyses,” Journal of Hydrology, Vol. 329, No. 1-2, 2006, pp. 244-257. doi:10.1016/j.jhydrol.2006.02.021
[12] C. Torrence and G. P. Compo, “A Practical Guide to Wavelet Analysis,” Bulletin of the American Meteorological Society, Vol. 79, No. 1, 1998, pp. 61-78. doi:10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2

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