Response of Hydrologic Processes to Future Climate Changes in the Yangtze River Basin
Publication: Journal of Hydrologic Engineering
Volume 19, Issue 1
Abstract
Recent climate changes have observable impacts on hydrologic processes and will further affect hydrologic systems in the future. The temperature and precipitation modeled with eight global circulation models (GCMs) (selected from 22 GCMs published in the Fourth Assessment of the Intergovernmental Panel on Climate Change) under three typical emission scenarios entitled A1B, A2, and B1 were evaluated in this study for future projections in the Yangtze River Basin, China. The artificial neural network model was used to assess the evolutional trend of hydrologic processes (e.g., streamflow) and the possibility of extreme floods in the Yangtze River Basin by using data generated by selected GCMs under future climate changes. The results indicate that the future annual streamflow tends to decrease in the Yangtze River Basin. The future average annual flow is reduced by compared with that of the historic record (1951–2005) observed at Yichang Hydrologic Station of the Middle Yangtze River, and the percentage of dry years increases by 46.8%. However, at Datong Hydrologic Station of the Lower Yangtze River, the average annual flow is reduced by compared to the historic record and the percentage of normal year increases up to 75.5%. Extreme floods are divided into three categories of catastrophic, great, and large floods. The results show that large floods are most likely to occur in the future, whereas the likelihood of extreme floods is the minimum under the B1 scenario. In the three decades of the 2020s, 2050s, and 2080s, the likelihood of extreme floods at Yichang and Datong Hydrologic Stations tends to increase; the likelihood of extreme floods at Yichang Hydrologic Station is much greater than that of the Datong Hydrologic Station. Variability in the quantity of water in these areas will pose a greater challenge to the integrated deployment and management of water resources in the Yangtze River Basin.
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Acknowledgments
This study was supported by the National Basic Research Program of China (2010CB951101), the National Natural Science Foundation of China (Grant No. 41101015 and 41371047), and the Fundamental Research Funds for the Central Universities. We are very grateful to three anonymous reviewers whose comments helped improve the paper considerably.
References
Akhtar, M., Ahmad, N., and Booij, M. J. (2008). “The impact of climate change on the water resources of Hindukush–Karakorum–Himalaya region under different glacier coverage scenarios.” J. Hydrol., 355(1–4), 148–163.
Arnell, N. W. (2003). “Relative effects of multi-decadal climatic variability and changes in the mean and variability of climate due to global warming: future streamflow in Britain.” J. Hydrol., 270(3–4), 195–213.
ASCE Task Committee on Application of Artificial Neural Networks in Hydrology. (2000a). “Artificial neural networks in hydrology I: Preliminary concepts.” J. Hydrol. Eng., 115–123.
ASCE Task Committee on Application of Artificial Neural Networks in Hydrology. (2000b). “Artificial neural networks in hydrology II: Hydrologic applications.” J. Hydrol. Eng., 124–137.
Bae, D. H., Jung, I. W., and Lettenmaier, D. P. (2011). “Hydrologic uncertainties of climate change on IPCC AR4 GCM simulations in the Chungju basin, Korea.” J. Hydrol., 401(1–2), 90–105.
Bergstrom, S., Carlsson, B., Gardelin, M., Lindstrom, G., Pettersson, A., and Rummukainen, M. (2001). “Climate change impacts on the runoff in Sweden—Assessments by global climate models, dynamical downscaling and hydrological modelling.” Clim. Res., 16(2), 101–112.
Berkoff, J. (2003). “China: The south-north water transfer project—Is it justified?” Water Policy, 5(1), 1–28.
Beyene, T., Lettenmaier, D. P., and Kabat, P. (2010). “Hydrologic impacts of climate change on the Nile River Basin: Implications of the 2007 IPCC scenarios.” Clim. Change, 100(3–4), 433–461.
Booij, M. J. (2005). “Impact of climate change on river flooding assessed with different spatial model resolutions.” J. Hydrol., 303(1–4), 176–198.
Boorman, D. B., and Sefton, C. E. (1997). “Recognizing the uncertainty in the quantification of the effects of climate change on hydrological response.” Clim. Change, 35(4), 415–434.
Brion, G. M., and Lingireddy, S. (2003). “Artificial neural network modeling: A summary of successful applications relative to microbial water quality.” Water Sci. Technol., 47(3), 235–240.
Buytaert, W., Célleri, R., and Timbe, L. (2009). “Predicting climate change impacts on water resources in the tropical Andes: Effects of GCM uncertainty.” Geophys. Res. Lett., 36(7), L07406.
Buytaert, W., Vuille, M., Dewulf, A., Urrutia, R., Karmalkar, A., and Celleri, R. (2010). “Uncertainties in climate change projections and regional downscaling in the tropical Andes: Implications for water resources management.” Hydrol. Earth Syst. Sci., 14, 1247–1258.
Chenoweth, J., et al. (2011). “Impact of climate change on the water resources of the eastern Mediterranean and Middle East region: Modeled 21st century changes and implications.” Water Resour. Res., 47(6), W06506.
Chiew, F. H. S., et al. (2009). “Estimating climate change impact on runoff across southeast Australia: Method, results, and implications of the modeling method.” Water Resour. Res., 45(10), W10414.
Chiew, F. S., and McMahon, T. A. (2002). “Modelling the impacts of climate change on Australian streamflow.” Hydrol. Process., 16(6), 1235–1245.
Christensen, N. S., and Lettenmaier, D. P. (2007). “A multimodel ensemble approach to assessment of climate change impacts on the hydrology and water resources of the Colorado River Basin.” Hydrol. Earth Syst. Sci., 11(4), 1417–1434.
Cigizoglu, H. K. (2005). “Application of the generalized regression neural networks to intermittent flow forecasting and estimation.” J. Hydrol. Eng., 336–341.
Cigizoglu, H. K., and Kisi, O. (2006). “Methods to improve the neural network performance in suspended sediment estimation.” J. Hydrol., 317(3–4), 221–238.
Diaz-Nieto, J., and Wilby, R. L. (2005). “A comparison of statistical downscaling and climate change factor methods: Impacts on low-flows in the river Thames United Kingdom.” Clim. Change, 69(2–3), 245–268.
Edwin, P. M. (2007). “Uncertainty in hydrologic impacts of climate change in the Sierra Nevada, California, under two emissions scenarios.” Clim. Change, 82(3–4), 309–325.
Ellis, A. W., Hawkins, T. W., Balling, R. C., Jr., and Gober, P. (2008). “Estimating future runoff levels for a semi-arid fluvial system of central Arizona, USA.” Clim. Res., 35(3), 227–239.
Elsner, M. M., et al. (2010). “Implications of 21st century climate change for the hydrology of Washington State.’’ Clim. Change, 102(1–2), 225–260.
Forbes, K. A., Kienzle, S. W., Coburn, C. A., Byrne, J. M., and Rasmussen, J. (2011). “Simulating the hydrological response to predicted climate change on a watershed in southern Alberta, Canada.” Clim. Change, 105(3–4), 555–576.
Fujihara, Y., Tanaka, K., Watanabe, T., Nagano, T., and Kojiri, T. (2008). “Assessing the impacts of climate change on the water resources of the Seyhan River Basin in Turkey: Use of dynamically downscaled data for hydrologic simulations.” J. Hydrol., 353(1–2), 33–48.
Georgakakos, K. P., Seo, D. J., Gupta, H., Schaake, J., and Butts, M. B. (2004). “Towards the characterization of streamflow simulation uncertainty through multimodel ensembles.” J. Hydrol., 298(1–4), 222–241.
Graham, L. P., Andreasson, J., and Carlsson, B. (2007). “Assessing climate change impacts on hydrology from an ensemble of regional climate models, model scales and linking methods—A case study on the Lule River basin.” Clim. Change, 81(1), 293–307.
Guo, S., Wang, J., Xiong, L., Yin, A., and Li, D. (2002). “A macro-scale and semi-distributed monthly water balance model to predict climate change impacts in China.” J. Hydrol., 268(1–4), 1–15.
Hay, L. E., et al. (2002). “Use of regional climate model output for hydrological simulations.” J. Hydrometeorol., 3(5), 571–590.
Hay, L. E., and Clark, M. P. (2003). “Use of statistically and dynamically downscaled atmospheric model output for hydrologic simulations in three mountainous basins in the western United States.” J. Hydrol., 282(1–4), 56–75.
Intergovernmental Panel on Climate Change. (2007). “Summary for policymakers.” Climate change 2007: The physical science basis. Contribution of Working Group I to the fourth assessment report of the Intergovernmental Panel on Climate Change, S. Solomon, et al., eds., Cambridge University Press, Cambridge, U.K.
Jacquin, A. P., and Shamseldin, A. Y. (2006). “Development of rainfall–runoff models using Takagi-Sugeno fuzzy inference systems.’’ J. Hydrol., 329(1–2), 154–173.
Jiang, Y. D., Chen Xu, C.-Y., Chen, X., Chen, X., and Singh, V. P. (2007). “Comparison of hydrological impacts of climate change simulated by six hydrological models in the Dongjiang Basin, South China.” J. Hydrol., 336(3–4), 316–333.
Jones, R. N., Chiew, F. H. S., Boughton, W. C., and Zhang, L. (2006). “Estimating the sensitivity of mean annual runoff to climate change using selected hydrological models.” Adv. Water Resour., 29(10), 1419–1429.
Ju, Q., Yu, Z., Hao, Z., Ou, G., Zhao, J., and Liu, D. (2009). “Division-based rainfall-runoff simulations with BP neural networks and Xinanjiang models.” Neurocomput., 72(13–15), 2873–2883.
Kingston, D. G., Todd, M. C., Taylor, R. G., Thompson, J. R., and Arnell, N. W. (2009). “Uncertainty in the estimation of potential evapotranspiration under climate change.” Geophys. Res. Lett., 36(20), L20403.
Li, H., Robock, A., and Wild, M. (2007). “Evaluation of Intergovernmental Panel on Climate Change Fourth Assessment soil moisture simulations for the second half of the twentieth century.” J. Geophys. Res., 112(D6), D06106.
Lopez, A., Fung, F., New, M., Watts, G., Weston, A., and Wilby, R. L. (2009). “From climate model ensembles to climate change impacts and adaptation: A case study of water resource management in the southwest of England.” Water Resour. Res., 45(8), W08419.
Maidment, D. R. (1993). Handbook of hydrology, McGraw-Hill Professional, New York.
Maurer, E. P., Adam, J. C., and Wood, A. W. (2009). “Climate model based consensus on the hydrologic impacts of climate change to the Rio Lempa basin of Central America.’’ Hydrol. Earth Syst. Sci., 13(2), 183–194.
Menzel, L., and Burger, G. (2002). “Climate change scenarios and runoff response in the Mulde catchment (Southern Elbe, Germany).” J. Hydrol., 267(1–2), 53–64.
Michael, A., Schmidt, J., Enke, W., Deutschlander, T., and Malitz, G. (2005). “Impact of expected increase in precipitation intensities on soil loss results of comparative model simulations.” Catena, 61(2–3), 155–164.
Ministry of Water Resources of China. (1958). Hydrological yearbook of the People’s Republic of China, China Water Power Press.
Minville, M., Brissette, F., and Leconte, R. (2008). “Uncertainty of the impact of climate change on the hydrology of a Nordic watershed.” J. Hydrol., 358(1–2), 70–83.
Najafi, M. R., Moradkhani, H., and Wherry, S. A. (2011). “Statistical downscaling of precipitation using machine learning with optimal predictor selection.” J. Hydrol. Eng., 650–664.
Nash, L., and Gleick, P. H. (1991). “Sensitivity of streamflow in the Colorado Basin to climate change.” J. Hydrol., 125(3–4), 221–241.
Nash, J. E., and Sutcliffe, J. V. (1970). “River flow forecasting through conceptual models, I. A discussion of principles.” J. Hydrol., 10(3), 282–290.
Nemec, J., and Schaake, J. (1982). “Sensitivity of water resources systems to climate variation.” Sci., 27(3), 327–343.
Ng, W. W., Panu, U. S., and Lennox, W. C. (2007). “Chaos based analytical techniques for daily extreme hydrological observations.” J. Hydrol., 342(1–2), 17–41.
Nijssen, B., O’Donnell, G., Hamlet, A., and Lettenmaier, D. (2001). “Hydrologic sensitivity of global rivers to climate change.” Clim. Change, 50(1–2), 143–175.
Ohara, N., Chen, Z. Q., Kavvas, M. L., Fukami, K., and Inomata, H. (2011). “Reconstruction of historical atmospheric data for Mekong River Basin by a hydroclimate model.” J. Hydrol. Eng., 1030–1039.
Ozkul, S. (2009). “Assessment of climate change effects in Aegean river basins: The case of Gediz and Buyuk Menderes Basins.” Clim. Change, 97(1–2), 253–283.
Phillips, T. J., and Gleckr, P. J. (2006). “Evaluation of continental precipitation on 20th century climate simulation: The utility of multimodel statistics.” Water Resour. Res., 42(3), W03201–W03202.
Pilling, C. G., and Jones, J. A. A. (2002). “The impact of future climate change on seasonal discharge, hydrological processes and extreme flows in the upper Wye experimental catchment, mid-Wales.” Hydrol. Process., 16(6), 1201–1213.
Praskievicz, S., and Chang, H. (2009). “A review of hydrological modelling of basin-scale climate change and urban development impacts.” Prog. Phys. Geog., 33(5), 650–671.
Pruski, F. E., and Nearing, M. A. (2002). “Climate-induced changes in erosion during the 21st century for eight U.S. locations.” Water Resour. Res., 38(12), 34-1–34-11.
Sulis, M., Paniconi, C., Rivard, C., Harvey, R., and Chaumont, D. (2011). “Assessment of climate change impacts at the catchment scale with a detailed hydrological model of surface/subsurface interactions, and comparison with a land surface model.” Water Resour. Res., 47(1), W01513.
Sun, F., Roderick, M. L., Lim, W. H., and Farquhar, G. D. (2011). “Hydroclimatic projections for the Murray-Darling Basin based on an ensemble derived from Intergovernmental Panel on Climate Change AR4 climate models.” Water Resour. Res., 47(12), W00G02.
Vicuna, S., Dracup, J. A., Lund, J. R., Dale, L. L., and Maurer, E. P. (2010). “Basin-scale water system operations with uncertain future climate conditions: Methodology and case studies.” Water Resour. Res., 46(4), W04505.
Wetherald, R. T., and Manabe, S. (2002). “Simulation of hydrologic changes associated with global warming.” J. Geophys. Res., 107(D19), 4379.
Wilby, R. L., and Harris, I. (2006). “A framework for assessing uncertainties in climate change impacts: Low-flow scenarios for the River Thames, UK.” Water Resour. Res., 42(2), W02419.
Xu, C. Y. (1999). “From GCMs to river flow: A review of downscaling techniques and hydrologic modeling approaches.” Prog. Phys. Geog., 23(2), 229–249.
Xu, C. Y., and Singh, V. P. (2004). “Review on regional water resources assessment under stationary and changing climate.” Water Resour. Manage., 18(6), 591–612.
Yu, Z., et al. (1999a). “Simulating the river-basin response to atmospheric forcing by linking a mesoscale meteorological model and hydrologic model system.” J. Hydrol., 218(1–2), 72–91.
Yu, Z., Lakhtakia, M. N., and Barron, E. J. (1999b). “Modeling the river basin response to single storm events simulated by a mesoscale meteorological model at various resolutions.” J. Geophys. Res., 104(D16), 19,675–19,690.
Yu, Z., Pollard, D., and Cheng, L. (2006). “On continental-scale hydrologic simulations with a coupled hydrologic model.” J. Hydrol., 331(1–2), 110–124.
Zhou, T., and Yu, R. (2006). “Twentieth century surface air temperature over China and the globe simulated by coupled climate models.” J. Clim., 19(22), 5843–5858.
Zhu, Y. M., Lu, X. X., and Zhou, Y. (2008). “Sediment flux sensitivity to climate change: A case study in the Longchuanjiang catchment of the upper Yangtze River.” China Global Planet. Change, 60(3), 429–442.
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Published In
Journal of Hydrologic Engineering
Volume 19 • Issue 1 • January 2014
Pages: 211 - 222
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© 2014 American Society of Civil Engineers.
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Received: Dec 12, 2011
Accepted: Dec 16, 2012
Published online: Dec 18, 2012
Discussion open until: May 18, 2013
Published in print: Jan 1, 2014
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