Using Neural Networks to Model the Impacts of Climate Change on Water Supplies
Publication: Journal of Water Resources Planning and Management
Volume 133, Issue 3
Abstract
An artificial neural network methodology is developed to investigate the possible effects on monthly and seasonal surface water supplies in Colorado’s Arkansas River Basin under two transient climate change scenarios, the HAD from the Hadley Centre for Climate Prediction and Research and the CCC from the Canadian Climate Centre. The results show that the decade-to-decade variability is considerably more apparent than any long-term trend or change. Under the HAD scenario, water available for irrigation is expected to increase above the historical baseline in every month of the growing season. However, the CCC scenario predicts constant water shortages in the region and decreased water available for irrigation in almost every month. This wide variation in the predictions from the HAD and CCC scenarios means that there is a large degree of uncertainty on what the future impacts of climate change might be in the region. However, the methodology developed can be used to estimate the impacts of new or updated predictions of climate change.
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References
Arnell, N. (1996). Global warming, river flows, and water resources, Wiley, Chichester, U.K.
Baron, J. S., Hartman, M. D., Kittle, T. G. F., Band, L. E., Ojima, D. S., and Lammers, R. B. (1998). “Effects of land cover, water redistribution, and temperature on ecosystem processes in the South Platte Basin.” Ecol. Appl., 8(4), 1037–1051.
Baron, J. S., Hartman, M. D., Band, L. E., and Lammers, R. B. (2000). “Sensitivity of a high elevation Rocky Mountain watershed to altered climate and .” Water Resour. Res., 36(1),89–99.
Dooge, J. C. I. (1992). “Sensitivity of runoff to climate change: A Hortonian approach.” Bull. Am. Meteorol. Soc., 73(12), 2013–2024.
Eldaw, A. K. (2001). “Long-range forecasting of the Nile River flow using large scale oceanic atmospheric forcings.” Ph.D. dissertation, Colorado State Univ., Fort Collins, Colo.
Elgaali, E. A. (2005). “Modeling regional climate change impacts on available water for Agriculture.” Ph.D. dissertation, Colorado State Univ., Fort Collins, Colo.
Frederick, K. D. (2002). Water resources and climate change, Edward Elgar, Northampton, Mass.
Hsu, K., Gupta, H. V., and Sorooshian, S. (1995). “Artificial neural network modeling of the rainfall-runoff process.” Water Resour. Res., 31(10), 22517–2530.
Intergovernmental Panel on Climate Change (IPCC). (2001). Climate Change 2001: The Scientific Basis—Summary for Policy Makers and Technical Summary for the Working Group 1 Rep., Cambridge University Press, Cambridge, U.K.
Karunanithi, N., Grenney, W. J., Whitley, D., and Bovee, K. (1994). “Neural networks for river flow prediction.” J. Comput. Civ. Eng., 8(2), 201–220.
Kittel, T. G. F., Rosenbloom, N. A., Painter, T. H., Schimel, D. S., and VEMAP Modeling Participants. (1995). “The VEMAP integrated database for modeling United States ecosystem/vegetation sensitivity to climate change.” J. Biogeog., 22(4–5), 857–862.
Leavesley, G. H. (1994). “Modeling the effects of climate change on water resources—A review.” Clim. Change, 28, 159–177.
Miller, K. A. (1997). “Climate variability, climate change, and western water.” Rep. to the Western Water Policy Review Advisory Commission, National Technical Information Service, Springfield, Va.
Moradkhani, H., Hsu, K., Gupta, H. V., and Sorooshian, S. (2004). “Improved streamflow forecasting using self-organizing radial basis function artificial neural network.” J. Hydrol., 295(1–4), 246–262.
Nash, L. L., and Gerick, P. H. (1993). “The Colorado River Basin and climatic change: The sensitivity of streamflow and water supply to variations in temperature and precipitation.” EPA 230-R-93-009, Pacific Institute for Studies in Development, Environment, and Security, Oakland, Calif.
Ojima, D., Garcia, L., Elgaali, E., Miller, K., Kittel, T. G. F., and Lackett, J. (1999). “Potential climate change impacts on water resources in the Great Plains.” J. Am. Water Resour. Assoc., 35(6), 1443–1454.
Robert, J. K., and Barros, P. (1998). “Using artificial neural networks to estimate missing rainfall data.” J. Am. Water Resour. Assoc., 34(6), 1437–1447.
Rosenzweig, C., and Hillel, D. (1998). Climate change and the global harvest: Potential impacts of the greenhouse effect on agriculture, Oxford University Press, New York.
Schaake, J. C. (1990). “From climate to flow.” Climate change and water resources, P. E. Waggoner, ed., Wiley, New York, 177–206.
Solley, W. B. (1997). “Estimates of water use in the western United States in 1990 and water use trends 1960–1990.” Rep., Western Water Policy Review Advisory Commission, Denver.
Wolock, D. M., and MacCabe, G. J. (1999). “Estimates of runoff using water-balance and atmospheric general circulation models.” J. Am. Water Resour. Assoc., 35(6), 1341–1350.
U.S. Department of Agriculture and National Water Climate Center (USDA/NWCC). (2003). ⟨http://www.wcc.nrcs.usda.gov⟩ (Feb. 15, 2003).
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© 2007 ASCE.
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Received: Jan 31, 2005
Accepted: Apr 19, 2006
Published online: May 1, 2007
Published in print: May 2007
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