Case Studies
Dec 5, 2017

Impact of Climate Change on Flood Frequency of the Trian Reservoir in Vietnam Using RCMS

Publication: Journal of Hydrologic Engineering
Volume 23, Issue 2

Abstract

Vietnam is one of the countries severely impacted by climate change. The Saigon-Dongnai River basin is one of the largest river basins and the economic center in the south of Vietnam. Trian watershed is located in the upper Saigon-Dongnai River basin and is one of the largest subbasins of this river. However, no study has been conducted to assess the impact of climate change on this region. It is, hence, necessary to evaluate the potential future impact of climate change on this watershed, particularly on flood frequency, because flood events negatively impact economic and social aspects. The downscaled atmospheric data, from the simulations of five Regional Climate Models (RCMs), are used as input data for a physically-based hydrological model to simulate future streamflow data. The changes in the frequency of flood peak extracted by the peak over threshold (POT) approach is compared between historical and future time periods. The results indicate that there is a significant increase in flood magnitude under climate change for the Trian catchment. Specifically, the 100-year return level of Trian reservoir is increasing up to 32.34% in one of the future scenarios. Moreover, results of this study also indicate that directly using the asymptotic distribution to model the POT data set sometimes provides wrong insights.

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Acknowledgments

The authors gratefully acknowledge National Hydro-Meteorological Service and Ministry of Natural Resources and Environment, Vietnam for providing their data in the Saigon-Dongnai River basin.

References

Agarwal, A., Babel, M. S., and Maskey, S. (2014). “Analysis of future precipitation in the Koshi river basin, Nepal.” J. Hydrol., 513, 422–434.
Alfieri, L., Burek, P., Feyen, L., and Forzieri, G. (2015). “Global warming increases the frequency of river floods in Europe.” Hydrol. Earth Syst. Sci., 19(5), 2247–2260.
Anandhi, A., et al. (2011). “Examination of change factor methodologies for climate change impact assessment.” Water Resour. Res., 47(3), 1–10.
Angeles, M. E., Gonzalez, J. E., Erickson, D. J., and Hernández, J. L. (2007). “Predictions of future climate change in the Caribbean region using global general circulation models.” Int. J. Climatol., 27(5), 555–569.
Arnell, N. W. (1999). “The effect of climate change on hydrological regimes in Europe: A continental perspective.” Global Environ. Change, 9(1), 5–23.
Arnell, N. W., and Gosling, S. N. (2013). “The impacts of climate change on river flow regimes at the global scale.” J. Hydrol., 486, 351–364.
Babel, M. S., Nguyen Dinh, C., Mullick, M. R. A., and Nanduri, U. V. (2012). “Operation of a hydropower system considering environmental flow requirements: A case study in La Nga river basin, Vietnam.” J. Hydro-Environ. Res., 6(1), 63–73.
Bezak, N., Brilly, M., and Šraj, M. (2014). “Comparison between the peaks-over-threshold method and the annual maximum method for flood frequency analysis.” Hydrol. Sci. J., 59(5), 959–977.
Booij, M. (2005). “Impact of climate change on river flooding assessed with different spatial model resolutions.” J. Hydrol., 303, 176–198.
Boughton, W., and Droop, O. (2003). “Continuous simulation for design flood estimation—A review.” Environ. Modell. Software, 18(4), 309–318.
Cameron, D. (2006). “An application of the UKCIP02 climate change scenarios to flood estimation by continuous simulation for a gauged catchment in the northeast of Scotland, UK (with uncertainty).” J. Hydrol., 328(1–2), 212–226.
Chen, J., Brissette, F. P., and Leconte, R. (2011). “Uncertainty of downscaling method in quantifying the impact of climate change on hydrology.” J. Hydrol., 401(3–4), 190–202.
Coles, S. (2001). An introduction to statistical modeling of extreme values, Springer, New York.
Davison, A. C., and Smith, R. L. (1990). “Models for exceedances over high thresholds.” J. R. Stat. Soc. Series B Methodol., 52(3), 393–442.
Duan, K., and Mei, Y. (2014). “A comparison study of three statistical downscaling methods and their model-averaging ensemble for precipitation downscaling in China.” Theor. Appl. Climatol., 116(3–4), 707–719.
Feldman, A. D., and Center, H. E. (2000). Hydrologic modeling system HEC-HMS: Technical reference manual, U.S. Army Corps of Engineers, Hydrologic Engineering Center, Davis, CA.
Fowler, H. J., Blenkinsop, S., and Tebaldi, C. (2007). “Linking climate change modelling to impacts studies: Recent advances in downscaling techniques for hydrological modelling.” Int. J. Climatol., 27(12), 1547–1578.
Hassan, Z., Shamsudin, S., and Harun, S. (2014). “Application of SDSM and LARS-WG for simulating and downscaling of rainfall and temperature.” Theor. Appl. Climatol., 116(1–2), 243–257.
Hirabayashi, Y., et al. (2013). “Global flood risk under climate change.” Nat. Clim. Change, 3(9), 816–821.
IPCC (Intergovernmental Panel on Climate Change). (2014). Impacts, adaptations, and vulnerability, New York.
Jung, I. W., Chang, H., and Moradkhani, H. (2011). “Quantifying uncertainty in urban flooding analysis considering hydro-climatic projection and urban development effects.” Hydrol. Earth Syst. Sci., 15(2), 617–633.
Katz, R. W., Parlange, M. B., and Naveau, P. (2002). “Statistics of extremes in hydrology.” Adv. Water Resour., 25(8–12), 1287–1304.
Kay, A. L., Davies, H. N., Bell, V. A., and Jones, R. G. (2009). “Comparison of uncertainty sources for climate change impacts: Flood frequency in England.” Clim. Change, 92(1–2), 41–63.
Kay, A. L., and Jones, D. A. (2012). “Transient changes in flood frequency and timing in Britain under potential projections of climate change.” Int. J. Climatol., 32(4), 489–502.
Kay, A. L., Reynard, N. S., and Jones, R. G. (2006). “RCM rainfall for UK flood frequency estimation. I: Method and validation.” J. Hydrol., 318(1–4), 151–162.
Kharin, V. V., Zwiers, F. W., Zhang, X., and Hegerl, G. C. (2007). “Changes in temperature and precipitation extremes in the IPCC ensemble of global coupled model simulations.” J. Clim., 20(8), 1419–1444.
Kilsby, C., et al. (2007). “A daily weather generator for use in climate change studies.” Environ. Modell. Software, 22(12), 1705–1719.
Krause, P., Boyle, D. P., and Bäse, F. (2005). “Comparison of different efficiency criteria for hydrological model assessment.” Adv. Geosci., 5, 89–97.
Laio, F., Di Baldassarre, G., and Montanari, A. (2009). “Model selection techniques for the frequency analysis of hydrological extremes.” Water Resour. Res., 45(7), W07416.
Lang, M., Ouarda, T., and Bobée, B. (1999). “Towards operational guidelines for over-threshold modeling.” J. Hydrol., 225(3–4), 103–117.
Lu, Y., Qin, X., and Mandapaka, P. (2015). “A combined weather generator and K-nearest-neighbour approach for assessing climate change impact on regional rainfall extremes.” Int. J. Climatol., 35(15), 4493–4508.
Maraun, D., et al. (2010). “Precipitation downscaling under climate change: Recent developments to bridge the gap between dynamical models and the end user.” Rev. Geophys., 48(3), RG3003.
Mehan, S., Guo, T., Gitau, M. W., and Flanagan, D. C. (2017). “Comparative study of different stochastic weather generators for long-term climate data simulation.” Climate, 5(2), 26.
Moriasi, D. N., Arnold, J. G., Liew, M. W. V., Bingner, R. L., Harmel, R. D., and Veith, T. L. (2007). “Model evaluation guilines for systematic quantification of accuracy in watershed simulations.” ASABE, 50(3), 885–900.
Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D., and Veith, T. L. (2007). “Model evaluation guidelines for systematic quantification of accuracy in watershed simulations.” Trans. ASABE, 50(3), 885–900.
Park, C., et al. (2016). “Evaluation of multiple regional climate models for summer climate extremes over East Asia.” Clim. Dyn., 46(7–8), 2469–2486.
Pathiraja, S., Westra, S., and Sharma, A. (2012). “Why continuous simulation? The role of antecedent moisture in design flood estimation.” Water Resour. Res., 48(6), W06534.
Ponce, V. M. (1994). “Engineering hydrology: Principles and practices, Prentice Hall, New York.
Prudhomme, C., Reynard, N., and Crooks, S. (2002). “Downscaling of global climate models for flood frequency analysis: Where are we now?” Hydrol. Process., 16(6), 1137–1150.
Qin, X., and Lu, Y. (2014). “Study of climate change impact on flood frequencies: A combined weather generator and hydrological modeling approach.” J. Hydrometeorol., 15(3), 1205–1219.
Raff, D. A., Pruitt, T., and Brekke, L. D. (2009). “A framework for assessing flood frequency based on climate projection information.” Hydrol. Earth Syst. Sci., 13(11), 2119–2136.
Roth, M., Buishand, T. A., Jongbloed, G., Klein Tank, A. M. G., and Van Zanten, J. H. (2012). “A regional peaks-over-threshold model in a nonstationary climate.” Water Resour. Res., 48(11), W11533.
Rutten, M., Van Dijk, M., Van Rooij, W., and Hilderink, H. (2014). “Land use dynamics, climate change, and food security in Vietnam: A global-to-local modeling approach.” World Dev., 59, 29–46.
Saf, B. (2009). “Regional flood frequency analysis using L-moments for the West Mediterranean region of Turkey.” Water Resour. Manage., 23(3), 531–551.
Salas, J. D., Heo, J. H., Lee, D. J., and Burlando, P. (2012). “Quantifying the uncertainty of return period and risk in hydrologic design.” J. Hydrol. Eng., 518–526.
Sarhadi, A., Soltani, S., and Modarres, R. (2012). “Probabilistic flood inundation mapping of ungauged rivers: Linking GIS techniques and frequency analysis.” J. Hydrol., 458–459, 68–86.
Scarrott, C., and Macdonald, A. (2012). “A review of extreme value threshold estimation and uncertainty quantification.” REVSTAT-Stat. J., 10(1), 33–60.
Seckin, N., Haktanir, T., and Yurtal, R. (2011). “Flood frequency analysis of Turkey using L-moments method.” Hydrol. Process., 25(22), 3499–3505.
Semenov, M. A. (2008). “Simulation of extreme weather events by a stochastic weather generator.” Clim. Res., 35(3), 203–212.
Semenov, M. A., Brooks, R. J., Barrow, E. M., and Richardson, C. W. (1998). “Comparison of the WGEN and LARS-WG stochastic weather generators for diverse climates.” Clim. Res., 10(2), 95–107.
Semenov, M. A., and Stratonovitch, P. (2010). “Use of multi-model ensembles from global climate models for assessment of climate change impacts.” Clim. Res., 41(1), 1–14.
Setegn, S. G., Rayner, D., Melesse, A. M., Dargahi, B., and Srinivasan, R. (2011). “Impact of climate change on the hydroclimatology of Lake Tana Basin, Ethiopia.” Water Resour. Res., 47(4), W04511.
Sunyer, M., Madsen, H., and Ang, P. (2012). “A comparison of different regional climate models and statistical downscaling methods for extreme rainfall estimation under climate change.” Atmos. Res., 103, 119–128.
Svensson, C., Kundzewicz, W. Z., and Maurer, T. (2005). “Trend detection in river flow series. 2: Flood and low-flow index series [Détection de tendance dans des séries de débit fluvial. 2: Séries d’indices de crue et d’étiage].” Hydrol. Sci. J., 50(5), 811–824.
Taye, M. T., Ntegeka, V., Ogiramoi, N., and Willems, P. (2011). “Assessment of climate change impact on hydrological extremes in two source regions of the Nile River Basin.” Hydrol. Earth Syst. Sci., 15(1), 209–222.
Tramblay, Y., Badi, W., Driouech, F., El Adlouni, S., Neppel, L., and Servat, E. (2012). “Climate change impacts on extreme precipitation in Morocco.” Global Planet. Change, 82–83, 104–114.
Trinh, L. T., Vu, G. N. H., Van Der Steen, P., and Lens, P. N. L. (2013). “Climate change adaptation indicators to assess wastewater management and reuse options in the Mekong Delta, Vietnam.” Water Resour. Manage., 27(5), 1175–1191.
Wilks, D. S., and Wilby, R. L. (1999). “The weather generation game: A review of stochastic weather models.” Prog. Phys. Geogr., 23(3), 329–357.
Zaman, M. A., Rahman, A., and Haddad, K. (2012). “Regional flood frequency analysis in arid regions: A case study for Australia.” J. Hydrol., 475, 74–83.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 23Issue 2February 2018

History

Received: Feb 14, 2017
Accepted: Jul 28, 2017
Published online: Dec 5, 2017
Published in print: Feb 1, 2018
Discussion open until: May 5, 2018

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Authors

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Nguyen Dang Dong [email protected]
Research Scholar, Dept. of Civil Engineering, National Institute of Technology, Warangal, Telangana 506004, India; Lecturer, Division of Water Resources and Environment, Thuyloi Univ., Ho Chi Minh 700000, Vietnam (corresponding author). E-mail: [email protected]
K. V. Jayakumar [email protected]
Professor, Dept. of Civil Engineering, National Institute of Technology, Warangal, Telangana 506004, India. E-mail: [email protected]
Research Scholar, Dept. of Civil Engineering, National Institute of Technology, Warangal, Telangana 506004, India. E-mail: [email protected]

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