Climatic Change

, Volume 151, Issue 3–4, pp 365–378 | Cite as

Impact of climate change on the persistent turbidity issue of a large dam reservoir in the temperate monsoon region

  • Hyungseok Park
  • Sewoong ChungEmail author
  • Eunju ChoEmail author
  • Kyoungjae Lim


Long-term discharge of turbid water from reservoirs after flood events is a major socioenvironmental problem in many countries, including Korea. This study used a suite of mathematical models to simulate the fate of turbidity flows in the Soyanggang Reservoir in Korea, an important source of drinking water for the Seoul Capital Area, in response to extreme floods based on the Representative Concentration Pathway 4.5 climate scenario. It evaluated the effectiveness of the selective withdrawal facility (SWF), installed recently in the Soyanggang Reservoir to control persistent turbidity. Extreme floods with a maximum daily inflow rate greater than the historical maximum observed in 2006 were projected to occur four times in this century. The fate and transport of turbidity flows were highly influenced by both the thermal stability of the reservoir and the season in which the flood event occurred. Thus, SWF operations should consider the timing of extreme events (i.e., the imminence of the autumn turnover) to mitigate the impact of high turbidity on the water supply and downstream ecosystem. It was found to be ineffective under extreme events if these occurred in two consecutive years. Current reservoir operations, which rely heavily on the SWF, are likely to be inadequate to overcome the negative effects of extreme-turbidity events on reliably providing safe water supplies. Coping with the worst event expected to occur in the future would require additional countermeasures such as bypassing high-turbidity water.


Funding information

This work is supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant 17AWMP-B083066-04).

Supplementary material

10584_2018_2322_MOESM1_ESM.docx (1.4 mb)
ESM 1 (DOCX 1424 kb)


  1. Achete F, van der Wegen M, Roelvink JA, Jaffe B (2017) How can climate change and engineered water conveyance affect sediment dynamics in the San Francisco Bay-Delta system? Clim Chang 142:375–389CrossRefGoogle Scholar
  2. Ahlfeld D, Joaquin A, Tobiason TJ, Mas D (2003) Case study: impact of reservoir stratification on interflow travel time. J Hydraul Eng 129:966–975CrossRefGoogle Scholar
  3. Ahn SR, Ha R, Yoon SW, Kim SJ (2014) Evaluation of future turbidity water and eutrophication in Chungju Lake by climate change using CE-QUAL-W2. J Korea Water Resour Assoc 47:145–159CrossRefGoogle Scholar
  4. Baek HJ, Lee JH, Lee HS, Hyun TK, Cho CH, Kwon WT, Marzim C, Gan SY, Kim MJ, Choi DH, JH1 L, JH2 LEE, Boo KO, Kang HS, Byun YH (2013) Climate change in the 21st century simulated by HadGEM2-AO under representative concentration pathways. Asia-Pac J Atmos Sci 49(5):603–618Google Scholar
  5. Bates BC, Kundzewicz ZW, Wu S, Palutikof JP (eds) (2008) Climate change and water. Technical paper of the Intergovernmental Panel on Climate Change. IPCC Secretariat, Geneva 210 ppGoogle Scholar
  6. Bouraoui F, Grizzetti B, Granlund K, Rekolainen S, Bidoglio G (2004) Impact of climate change on the water cycle and nutrient losses in a Finnish catchment. Clim Chang 66:109–126CrossRefGoogle Scholar
  7. Brekke LD, Maurer EP, Anderson JD, Dettinger MD, Townsley ES, Harrison A, Pruitt T (2009) Assessing reservoir operations risk under climate change. Water Resour Res 45:W04411CrossRefGoogle Scholar
  8. Chapra SC, Boehlert B, Fant C, Bierman VJ, Henderson J, Mills D, Mas DML, Rennels L, Jantarasami L, Martinich J, Strzpek KM, pearl HW (2017) Climate change impacts on harmful algal blooms in U.S. freshwaters: a screening-level assessment. Environ Sci Technol 51:8933–8943CrossRefGoogle Scholar
  9. Chung SW, Hipsey MR, Imberger J (2009) Modelling the propagation of turbid density inflows into a stratified lake: Daecheong Reservoir, Korea. Environ Model Softw 24:1469–1482Google Scholar
  10. Cole TM, Scott AW (2015) CE-QUAL-W2: a two-dimensional, laterally averaged, hydrodynamic and water quality model, version 3.72Google Scholar
  11. Davies-Colley RJ, Smith DG (2001) Turbidity suspended sediment, and water clarity: a review. J Am Water Resour Assoc 37:1085–1101CrossRefGoogle Scholar
  12. Deere D, Leusch F, Humpage A, Cunliffe D, Khan S (2017) Hypothetical scenario exercises to improve planning and readiness for drinking water quality management during extreme weather events. Water Res 111:100–108CrossRefGoogle Scholar
  13. Fischer HB, List EJ, Koh R, Imberger J, Brooks NH (1979) Mixing in inland and coastal waters. Academic, New YorkGoogle Scholar
  14. Gelda RK, Effler SW (2007) Modeling turbidity in a water supply reservoir: advancements and issues. J Environ Eng 133:139–148CrossRefGoogle Scholar
  15. Gelda RK, Effler SW, Peng F (2012) Modeling turbidity and the effects of alum application for a water supply reservoir. J Environ Eng 138:38–47CrossRefGoogle Scholar
  16. Gelda RK, Effler SW, Prestigiacomo AR, Peng F, Effler AJP, Wagner BA, Perkins M, O’Donnell DM, O’Donnell SM, Pierson DC (2013) Characterizations and modeling of turbidity in a water supply reservoir following an extreme runoff event. Inland Waters 3:377–390CrossRefGoogle Scholar
  17. Glasgow HB, Burkholder JM, Reed RE, Lewitus AJ, Kleinman JE (2004) Real-time remote monitoring of water quality: a review of current applications, and advancements in sensor, telemetry, and computing technologies. J Exp Mar Biol Ecol 300:409–448CrossRefGoogle Scholar
  18. Gosling SN, Arnell NW (2016) A global assessment of the impact of climate change on water scarcity. Clim Chang 134:371–385CrossRefGoogle Scholar
  19. Gu R, Chung SW (1998) Reservoir flow sensitivity to inflow and ambient parameters. J Water Resour Plan Manag 124:119–128CrossRefGoogle Scholar
  20. Han JH, Kim DJ, Kang BS, Chung SW, Jang WS, Lim KJ, Kim JG (2017) Potential impacts of future extreme storm events on streamflow and sediment in Soyang-dam watershed. J Korean Soc Water Environ 33:160–169Google Scholar
  21. Henley WF, Patterson MA, Neves RJ, Lemly A (2000) Effects of sedimentation and turbidity on lotic food webs: a concise review for natural resource managers. Rev Fish Sci 8:125–139CrossRefGoogle Scholar
  22. Hipsey MR, Imberger J, Paparini A, Antenucci JP, Soncini-Sessa R, Vincenzo-Spica R (2007) Towards a dynamic and adaptive system for real-time decision support in aquatic environments. Proceedings of the 32nd International Association for Hydraulic Reserch, Venice, ItalyGoogle Scholar
  23. Hong ES (2007) Measurement of weathering degree and classification of weathering class. Land Technol 71:177–201Google Scholar
  24. Hong SJ, Kim BS, Ha SR (2014) Climate change impact assessment on Han River long term runoff in South Korea based on RCP climate change scenario. Terr Atmos Ocean Sci 25:689–701CrossRefGoogle Scholar
  25. IPCC (2012) Managing the risks of extreme events and disasters to advance climate change adaptation, A special report of Working Groups I and II of the Intergovernmental Panel on Climate Change. Cambridge University Press, CambridgeGoogle Scholar
  26. Jeong JH, Kannan N, Arnold J, Glick R, Gosselink L, Srinivasan R (2010) Development and integration of sub-hourly rainfall-runoff modeling capability within a watershed model. Water Resour Manag 24:4505–4527CrossRefGoogle Scholar
  27. Kang BS, Moon SJ (2017) Regional hydroclimatic projection using an coupled composite downscaling model with statistical bias corrector. KSCE J Civ Eng 21(7):2991–3002CrossRefGoogle Scholar
  28. Khan SJ, Deere D, Luesch F, Humpage A (2015) Extreme weather events: should drinking water quality management systems adapt to changing risk profiles? Water Res 85:124–136CrossRefGoogle Scholar
  29. Kim BS, Kim BK, Kwon HH (2011) Assessment of the impact of climate change on the flow regime of the Han River basin using indicators of hydrologic alteration. Hydrol Process 25:691–704CrossRefGoogle Scholar
  30. Kim SJ, Kim JW, Kim BW (2015) Last glacial maximum climate over Korean Peninsula in PMIP3 simulations. Quat Int 384:52–81CrossRefGoogle Scholar
  31. Kondolf GM, Gao Y, Annandale GW, Morris GL, Jiang E, Zhang J, Cao Y, Carling P, Fu K, Hotchkiss R, Peteuil C, Sumi T, Wang HW, Wang Z, Wei Z, Wu B, Wu C, Yang CT (2014) Sustainable sediment management in reservoirs and regulated rivers: experiences from five continents. Earth’s Future 2(5):256–280CrossRefGoogle Scholar
  32. Korea Environment Institute (2005) Effective turbid water management of multi-purpose dam reservoir through watershed management. ISBN 89-8464-156-1, South KoreaGoogle Scholar
  33. Lee GS, Kim JY, Ahn SR, Sim JM (2010) Analysis of suspended solid of Andong and Imha Basin according to the climate change. J Korean Assoc Geogr Inf Stud 13:1–15Google Scholar
  34. Lee HW, Kim EJ, Park SS, Choi JH (2015) Effects of climate change on the movement of turbidity flow in a stratified reservoir. Water Resour Manag 29:4095–4110CrossRefGoogle Scholar
  35. Lee CH, Lee YC, Chiang HM (2016) Abrupt state change of river water quality (turbidity): effect of extreme rainfalls and typhoons. Sci Total Environ 557–558:91–101CrossRefGoogle Scholar
  36. Leigh C, Bush A, Harrison E, Ho S, Luke L, Rolls RJ, Ledger ME (2015) Ecological effects of extreme climatic events on riverine ecosystems: insights from Australia. Freshw Biol 60:2620–2638CrossRefGoogle Scholar
  37. Li Z, Clark RM, Buchberger SG, Yang YJ (2014) Evaluation of climate change impact on drinking water treatment plant operation. J Environ Eng 140(9):A4014005CrossRefGoogle Scholar
  38. Matonse AH, Pierson DC, Frei A, Zion MS, Anandhi A, Schneiderman E, Wright B (2013) Investigating the impact of climate change on New York City’s primary water supply. Clim Chang 116:437–456CrossRefGoogle Scholar
  39. Mitsuzumi, A, Kato M, Omoto Y (2009) Effect of sediment bypass system as a measure against long-term turbidity and sedimentation in dam reservoir. In: 23rd ICOLD congress, Brasilia, Brazil. Q89-R8Google Scholar
  40. Monier E, Gao X (2015) Climate change impacts on extreme events in the United States: an uncertainty analysis. Clim Chang 131:67–81CrossRefGoogle Scholar
  41. Neff R, Chang H, Knight C, Najjar R, Yarnal B, Walker H (2000) Impact of climate variation and change on Mid-Atlantic Region hydrology and water resources. Clim Res 14:207–218CrossRefGoogle Scholar
  42. Neitsch SL, Arnold JG, Kiniry JR, Williams JR (2009) Soil and water assessment tool theoretical documentation, version 2009Google Scholar
  43. Quinn JM, Davies-Colley RJ, Hickey CW, Vickers ML, Ryan PA (1992) Effects of clay discharges on streams. 2. Benthic invertebrates. Hydrobiologia 248:235–247CrossRefGoogle Scholar
  44. Read JS, Hamilton DP, Jones ID, Muraoka K, Winslow LA, Kroiss R, Wu CH, Gaiser E (2011) Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ Model Softw 26:1325–1336CrossRefGoogle Scholar
  45. Samal NR, Matonse AH, Mukundan R, Zion MS, Pierson DC, Gelda RK, Schneiderman EM (2013) Modelling potential effects of climate change on winter turbidity loading in the Ashokan Reservoir, NY. Hydrol Process 27:3061–3074CrossRefGoogle Scholar
  46. Samal NR, Wollheim W, Zuidema S, Stewart R, Zhou Z, Mineau MM, Borsuk M, Gardner KH, Glidden S, Huang T, Lutz D, Mavrommati G, Thorn AM, Wake CP, Huber M (2017) A coupled terrestrial and aquatic biogeophysical model of the Upper Merrimack River watershed, New Hampshire, to inform ecosystem services evaluation and management under climate and land-cover change. Ecol Soc 22(4):18. CrossRefGoogle Scholar
  47. Sobieszczyk S, Uhrich MA, Bragg HM (2007) Major turbidity events in the North Santiam River basin, Oregon, water years 1999–2004: U.S. Geological Survey scientific investigations report 2007–5178, USAGoogle Scholar
  48. Temba N, Chung SO (2014) Uncertainty of hydro-meteorological predictions due to climate change in the Republic of Korea. J Korea Water Resour Assoc 47:257–267CrossRefGoogle Scholar
  49. Umeda M, Yokoyama K, Ishikawa T (2006) Observation and simulation of floodwater intrusion and sedimentation in the Shichikashuku Reservoir. J Hydraul Eng 132:881–891CrossRefGoogle Scholar
  50. USACE (US Army Corps of Engineers) (2013) HEC-ResSim Reservoir System SimulationGoogle Scholar
  51. Wang S, Qian X, Han BP, Luo LC, Ye R, Xiong W (2013) Effects of different operational modes on the floodinduced turbidity current of a canyon-shaped reservoir: case study on Liuxihe Reservoir, South China, Hydrol. Process., 27:4004–4016Google Scholar
  52. Weiss WJ, Pyke GW, Becker WC, Sheer DP, Gelda RL, Rush PV, Johnstone TL (2013) Integrated water quality-water supply modeling to support long-term planning. J Am Water Works Assoc 105(4):E217–E228CrossRefGoogle Scholar
  53. Weyhenmeyer GA, Müller RA, Norman M, Tranvik LJ (2016) Sensitivity of freshwaters to browning in response to future. Clim Chang 134:225–239CrossRefGoogle Scholar
  54. Yajima H, Kikkawa S, Ishiguro J (2006) Effect of selective withdrawal system operation on the longand short-term water conservation in a reservoir. Ann J Hydraul Eng 50:1375–1380CrossRefGoogle Scholar
  55. Ye L (2008) Impact of climate change on water cycle and soil loss in Daecheong reservoir watershed (Masters dissertation), Chungbuk University, KoreaGoogle Scholar

Copyright information

© Springer Nature B.V. 2018

Authors and Affiliations

  1. 1.Department of Environmental EngineeringChungbuk National UniversityCheongjuSouth Korea
  2. 2.School of Civil, Environmental and Architectural EngineeringKorea UniversitySeoulSouth Korea
  3. 3.Department of Regional Infrastructure EngineeringKangwon National UniversityChuncheonSouth Korea

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