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Water Quality Analysis of Hongcheon River Basin Under Climate Change
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  • Journal title : Journal of Wetlands Research
  • Volume 17, Issue 4,  2015, pp.348-358
  • Publisher : Korean Wetlands Society
  • DOI : 10.17663/JWR.2015.17.4.348
 Title & Authors
Water Quality Analysis of Hongcheon River Basin Under Climate Change
Kim, Duckhwan; Hong, Seung Jin; Kim, Jungwook; Han, Daegun; Hong, Ilpyo; Kim, Hung Soo;
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 Abstract
Impacts of climate change are being observed in the globe as well as the Korean peninsula. In the past 100 years, the average temperature of the earth rose about 0.75 degree in celsius, while that of Korean peninsula rose about 1.5 degree in celsius. The fifth Assessment Report of IPCC(Intergovermental Panel on Climate Change) predicts that the water pollution will be aggravated by change of hydrologic extremes such as floods and droughts and increase of water temperature (KMA and MOLIT, 2009). In this study, future runoff was calculated by applying climate change scenario to analyze the future water quality for each targe period (Obs : 2001 ~ 2010, Target I : 2011 ~ 2040, Target II : 2041 ~ 2070, Target III : 2071 ~ 2100) in Hongcheon river basin, Korea. In addition, The future water quality was analyzed by using multiple linear regression analysis and artificial neural networks after flow-duration curve analysis. As the results of future water quality prediction in Hongcheon river basin, we have known that BOD, COD and SS will be increased at the end of 21 century. Therefore, we need consider long-term water and water quality management planning and monitoring for the improvement of water quality in the future. For the prediction of more reliable future water quality, we may need consider various social factors with climate components.
 Keywords
Climate Change;Hongcheon River Basin;Multiple Linear Regression Analysis;Artificial Neural Network;Water Quality Analysis;
 Language
Korean
 Cited by
1.
Analysis of Future Meteorological Drought Index Considering Climate Change in Han-River Basin, Journal of Wetlands Research, 2016, 18, 4, 432  crossref(new windwow)
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