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Assessment of future water resources and water scarcity considering the factors of climate change and social–environmental change in Han River basin, Korea

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Abstract

Water resources are influenced by various factors such as weather, topography, geology, and environment. Therefore, there are many difficulties in evaluating and analyzing water resources for the future under climate change. In this paper, we consider climate, land cover and water demand as the most critical factors affecting change in future water resources. We subsequently introduce the procedures and methods employed to quantitatively evaluate the influence of each factor on the change in future water resources. In order to consider the change in land cover, we apply the Multi-Regression approach from the cellular automata-Markov Chain technique using two independent variables, temperature and rainfall. In order to estimate the variation of the future runoff due to climate change, the data of the SRES A2 climate change scenario were entered in the SLURP model to simulate a total of 70 years, 2021–2090, of future runoff in the Han River basin in Korea. However, since a significant amount of uncertainties are involved in predicting the future runoff due to climate change, 50 sets of daily precipitation data from the climate change scenario were generated and used for the SLURP model to forecast 50 sets of future daily runoff. This process was used to minimize the uncertainty that may occur when the prediction process is performed. For future water balance analysis, the future water demand was divided into low demand, medium demand and high demand categories. The three water demand scenarios and the 50 daily runoff scenarios were combined to form 150 sets of input data. The monthly water balance within the Han River basin was then calculated using this data and the Korean version of Water Evaluation and Planning System model. As a result, the future volume of water scarcity of the Han River basin was predicted to increase in the long term. It is mostly due to the monthly shift in the runoff characteristic, rather than the change in runoff volume resulting from climate change.

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References

  • Andersson L, Wilk J, Todd MC, Hughes DA, Earle A, Kniveton D, Layberry R, Savenije HG (2006) Impact of climate change and development scenarios on flow patterns in the Okavango River. J Hydrol 331:43–57

    Article  Google Scholar 

  • Bronstert A, Burger G, Heidenreich M, Katzenmaier D, Kohler B (1999) Effect of climate change influencing storm runoff generation: basic considerations and a pilot study in Germany. In: Proceedings of the international RIBAMOD workshop, Wallingford

  • Clarke KC, Hoppen S, Gaydos LJ (1997) A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environ Plan B 24:247–261

    Article  Google Scholar 

  • Cooley KR, Flerchinger GN, Wight JR, Hanson CL (1992) Effect of climate changes on water supplies managing water resources during change. J Am Water Resour Assoc 28:185–194

    Google Scholar 

  • Cuo L, Beyene TK, Voisin N, Su F, Lettenmaier DP, Alberti M, Richey JE (2010) Effects of mid-twenty-first century climate and land cover change on the hydrology of the Puget Sound basin, Washington. Hydrol Process. doi:10.1002/hyp.7932

    Google Scholar 

  • Franczyk J, Chang HJ (2009) The effects of climate change and urbanization on the runoff of the Rock Creek basin in the Portland metropolitan area, Oregon, USA. Hydrol Process 23(6):805–815

    Article  Google Scholar 

  • Gleick PH (1986) Methods for evaluating the regional hydrologic impacts of global climatic changes. J Hydrol 88:97–116

    Article  Google Scholar 

  • Gleick PH (1987) The development and testing of a water-balance model for climate impact assessment: modeling the Sacramento Basin. Water Resour Res 23:1049–1061

    Article  Google Scholar 

  • Grell GA (1993) Prognostic evaluation of assumptions used by cumulus parameterizations. Mon Weather Rev 121:764–787

    Article  Google Scholar 

  • Guo S, Wang J, Xiong L, Ying A, Li D (2002) A macro-scale and semi-distributed monthly water balance model to predict climate change impacts in China. J Hydrol 268:1–15

    Article  Google Scholar 

  • Hamlet AF, Lettenmaier DP (1999) Effects of climate change on hydrology and water resources objectives in the Columbia River basin. J Am Water Resour Assoc 35:1597–1624

    Article  Google Scholar 

  • IPCC (2001) Third Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge

    Google Scholar 

  • IPCC (2007) Climate Change 2007, the Fourth Assessment Report (AR4) of the Intergovernmental Panel on Climate Change

  • Jha M, Pan Z, Takle ES, Gu R (2004) Impacts of climate change on stream flow in the upper Mississippi River basin: a regional climate model perspective. J Geophys Res 109:D09105. doi:10.1029/2003JD003686

  • Jha M, Arnold JG, Gassman PW, Giorgi F, Gu R (2006) Climate change sensitivity assessment on upper Mississippi River basin streamflows using SWAT. J Am Water Resour Assoc (JAWRA) 42(4):997–1016

  • Jonathan IM, Graciana P, Kenneth MM (2004) Evaluation of the impact of climate change on hydrology and water resources in Swaziland: Part I. Phys Chem Earth 29:1181–1191

    Article  Google Scholar 

  • Kite GW (2007) Manual for the SLURP hydrologic model version 12.7, HydroLogic-Solutions

  • Kunkel KE, Andsager K, Easterling DR (1999) Long-term trends in extreme precipitation events over the conterminous United States. J Clim 12:2515–2527

    Article  Google Scholar 

  • Kwon HH, Kim BS (2009) Development of statistical downscaling model using nonstationary Markov chain. J Korea Water Resour Assoc 42(3):213–225

    Article  Google Scholar 

  • Kwon HH, Kim BS, Kim BK (2008) Analysis of precipitation characteristics of regional climate model for climate change impacts on water resources. KSCE J Civ Eng 28(5B):525–533

    Google Scholar 

  • Kyoung MS, Kim HS, Sivakumar B, Singh VP, Ahn KS (2011) Dynamic characteristics of monthly rainfall in the Korean Peninsula under climate change. Stoch Environ Res Risk Assess 25:613–625

    Article  Google Scholar 

  • McCabe GJ, Wolock DM (1999) General circulation model simulations of future snowpack in the western United States. J Am Water Resour Assoc 35:1473–1484

    Article  Google Scholar 

  • Miller JR, Russell GL (1992) The impact of global warming in river runoff. J Geophys Res 97:2757–2764

  • Ministry of Construction and Transportation, Korea (2006) Long-term comprehensive water resources plan (2006–2020)

  • Ministry of Science and Technology, Korea (2006) Technology for integrated basin-wide water budget analysis and water resources planning. Sustainable water resources research program, the 21st century frontier R&D program

  • Nakicenovic N, Alcamo J, Davis G, Vries B, Fenhann J, Gaffin S, Gregory K, Grübler A, Jung TY, Kram T, Rovere ELL, Michaelis L, Mori S, Morita T, Pepper W, Pitcher H, Price L, Riahi K, Roehrl A, Rogner HH, Sankovski A, Schlesinger M, Shukla P, Smith S, Swart R, Rooijen S, Victor N, Dadi Z (2000) Special report on emissions scenarios: a special report of Working Group III of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, p 599

    Google Scholar 

  • Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models, Part I—a discussion of principles. J Hydrol 10:283–290

    Google Scholar 

  • Obeysekera J, Irizarry M, Park J, Barnes J, Dessalegne T (2011) Climate change and its implications for water resources management in south Florida. Stoch Environ Res Risk Assess 25:495–516

    Article  Google Scholar 

  • Purkey DR, Joyce B, Vicuna S, Hanemann MW, Dale LL, Yates D, Dracup JA (2008) Robust analysis of future climate change impacts on water for agriculture and other sectors: a case study in the Sacramento Valley. Clim Change 87(Suppl 1):S109–S122

    Article  Google Scholar 

  • Roald LA, Skaugen TE, Beldring S, Væringstad T, Engeset R, Førland EJ (2003) Scenarios of annual and seasonal runoff for Norway. EGS/AGU/EUG Joint Assembly, Nice, France

  • Sivakumar B (2011) Global climate change and its impacts on water resources planning and management: assessment and challenges. Stoch Environ Res Risk Assess 25:583–600

    Article  Google Scholar 

  • Stewart IT, Cayan DR, Dettinger MD (2005) Changes towards earlier streamflow timing across Western North America. J Clim 18:1136–1155

    Article  Google Scholar 

  • Yates DN, Strzepek KM (1998) Modeling the Nile Basin under climate change. J Hydrol Eng 3(2):98–108

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by the National Research Foundation of Korea (NRF) and Grant funded by the Korean government (MEST; No. 2011-0028564).

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Authors and Affiliations

  1. Columbia Water Center, Columbia University, New York, USA

    Soojun Kim

  2. Kangwon National University, Samcheok, South Korea

    Byung Sik Kim

  3. Department of Civil Engineering, Seoul National University of Science and Technology, 172 Gongreung 2-dong, Nowon-gu, Seoul, 139-743, South Korea

    Hwandon Jun

  4. Department of Civil Engineering, Inha University, Inchon, South Korea

    Hung Soo Kim

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  1. Soojun Kim
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  2. Byung Sik Kim
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  3. Hwandon Jun
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  4. Hung Soo Kim
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Correspondence to Hwandon Jun.

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Kim, S., Kim, B.S., Jun, H. et al. Assessment of future water resources and water scarcity considering the factors of climate change and social–environmental change in Han River basin, Korea. Stoch Environ Res Risk Assess 28, 1999–2014 (2014). https://doi.org/10.1007/s00477-014-0924-1

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  • DOI: https://doi.org/10.1007/s00477-014-0924-1

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