Journal of The Korean Society of Agricultural Engineers (한국농공학회논문집)

The Korean Society of Agricultural Engineers (한국농공학회)
권호 표지
DOI QR코드

DOI QR Code

Analysis of the Effect of Water Quality Improvement on Seomgang and South Han River by Securing the Flow during the Dry Season

갈수기 유량 확보에 따른 섬강 및 남한강 본류 갈수기 수질 개선 효과 분석

  • Lee, Seoro (Department of Regional Infrastructure Engineering, Kangwon National University) ;
  • Lee, Gwanjae (Department of Regional Infrastructure Engineering, Kangwon National University) ;
  • Han, Jeongho (Department of Regional Infrastructure Engineering, Kangwon National University) ;
  • Lee, Dongjun (Department of Regional Infrastructure Engineering, Kangwon National University) ;
  • Kim, Jonggun (Institute of Agricultural and Life Science, Kangwon National University) ;
  • Lim, Kyoung Jae (Department of Regional Infrastructure Engineering, Kangwon National University)
  • Received : 2018.12.20
  • Accepted : 2019.02.22
  • Published : 2019.03.31
Download PDF
⟨ Previous Next ⟩

Abstract

The water pollution Accident in the South Han River is increasing due to increase of pollutants inflow from small streams from rural areas and reduced flow rate. This study predicted the change of water quality in the main stream of the South Han River due to climate change through the linkage of watershed and water quality models. Also, This study analyzed the effect of water quality improvement on Seomgang and the South Han River by securing the flow during the dry season. According to the scenarios for securing the river flow during drought season, the river flow in the Seomgang is increased up to 2.19 times, and the water quality during the drought season was improved up to $BOD_5$ 20.5%, T-N 40.8%, T-P 53.4%. Also, the water quality of the main stream of the South Han River improved to 5.22% of $BOD_5$, 5.42% of T-N and 7.69% of T-P as the river flow was secured from the Seomgang. The result of this study confirms that securing the baseflow in the Seomgang according to the scenarios for securing the river flow during the dry season has a positive effect on the improvement of the water quality of the rivers in the main river of the Seomgang and South Han River. The results of this study will contribute to the establishment of reasonable management to improve the water quality of the main stream of the Seomgang and South Han River.

Keywords

NGHHCI_2019_v61n2_25_f0001.png 이미지

Fig. 1 Study area in this research

NGHHCI_2019_v61n2_25_f0002.png 이미지

Fig. 2 Construction of SWAT input data of Seomgang(DEM, Landuse, Soil)

NGHHCI_2019_v61n2_25_f0003.png 이미지

Fig. 3 Stream network of reaches and computational element(South Han River)

NGHHCI_2019_v61n2_25_f0004.png 이미지

Fig. 4 Selection of extreme drought events through future climate scenarios

NGHHCI_2019_v61n2_25_f0005.png 이미지

Fig. 5 Derivation of regression formula based on monthly inflow and outflow of dam

NGHHCI_2019_v61n2_25_f0006.png 이미지

Fig. 6 The result of flow and water quality calibration

NGHHCI_2019_v61n2_25_f0007.png 이미지

Fig. 7 The result of water quality calibration in the main stream of the South Han river

NGHHCI_2019_v61n2_25_f0008.png 이미지

Fig. 8 Analysis of water quality change in the main stream of the South Han River during extreme drought

NGHHCI_2019_v61n2_25_f0009.png 이미지

Fig. 9 Variation of flow and water quality according to scenarios for securing the flow during dry season

NGHHCI_2019_v61n2_25_f0010.png 이미지

Fig. 10 The application result of scenario for securing the flow(South Han River)

Table 1 Acceptable ranges and fitted value of the SWAT model parameters

NGHHCI_2019_v61n2_25_t0001.png 이미지

Table 2 Acceptable ranges and input value of the QUAL-MEV model parameters

NGHHCI_2019_v61n2_25_t0002.png 이미지

Table 3 Efficient model range and confidence interval(Donigian, 2000)

NGHHCI_2019_v61n2_25_t0003.png 이미지

Table 4 Scenarios for securing the flow during the dry season

NGHHCI_2019_v61n2_25_t0004.png 이미지

Table 5 The result of evaluation of applicability of SWAT model

NGHHCI_2019_v61n2_25_t0005.png 이미지

References

  1. Arnold, J. G., R. Srinivasan, R. S. Muttiah, and J. R. Williams, 1998. Large area hydrologic modeling and assessment part I: model development. Journal of American Water Resources Association 34(1): 73-89. doi:10.1111/j.1752-1688.1998.tb05961.x.
  2. Abbaspour, K. C., 2007. User Manual for SWAT-CUP. Swiss federal Institute of Aquaitc Science and Technology; Eawag, Deubendorf, Switzerland, 1-33.
  3. ASCE, 1993. ASCE task committee on definition of criteria for evaluation of watershed models, criteria for evaluation of watershed models. Journal of Irrig. Drain Eng. 119(3): 429-442. doi:10.1061/(ASCE)0733-9437(1993)119:3(429).
  4. APEC Climate Center (APCC), 2013. Analysis of CMIP5 data in water resources considering uncertainty, 21-34 (in Korean).
  5. Brown, L. C., and T. O. Barnwell, 1987. The enhanced water quality models QUAL2E and QUAL2E-UNCAS: documentation and user manual. EPA/600/3-87/007, USEPA.
  6. Choi, H. S., 2008. Effect on water quality and fish habitat improvement of Wonju Cheon by instream flow increasing. Journal of wetlands research 10(3): 57-68.
  7. Choi, Y. H., D. H. Kum, J. C. Ryu, Y. H. Jung, Y. S. Kim, J. H. Jeon, K. S. Kim, and K. J. Kim, 2015. A study of total nitrogen pollutant load through baseflow analysis at the watershed. J. Korean Soc. Water Environ. 31(1):55-66 (in Korean). doi:10.15681/KSWE.2015.31.1.55.
  8. Choi, H. G., D. I. Kim, J. E. Kim, and K. Y. Han, 2011. Non-point source impact analysis through linkage watershed model and river water quality model. Journal of Environmental Impact Assessment 20(1): 25-36 (in Korean). https://doi.org/10.14249/EIA.2011.20.1.025
  9. Chung, U. R., J. P. Cho, and E. J. Lee, 2015. Evaluation of Agro-Climatic index using multi-model ensemble downscaled climate prediction of CMIP5. Korean Journal of Agricultural and Forest Meteorology 17(2): 108-125 (in Korean). doi:10.5532/KJAFM.2015.17.2.108.
  10. Donigian, Jr. A. S., 2000. HSPF Training Workshop Handbook and CD. Lecture #19. Calibration and Verification Issues, Slide #L19-22 EPA Headquarters, Washington Information Center, Presented and Prepared for U.S. EPA, Office of Water, Office of Science and Technology, Washington, D.C., USA.
  11. Kim, Y. K., G. W. Choi, M. S. Ham, and N. W. Kim, 2008. The analysis of potential discharge by dam in Han River basin at dry season. Journal of Korean Society Water Resources Association 41(11): 1143-1152 (in Korean). doi:10.3741/JKWRA.2008.41.11.1143.
  12. Kim, S. G., and G. S. Cha, 2011. Effect of water quality improvement with secure instream flow in Yeongsan River. Journal of Green Industrial Research, Honam Univ. 17(2): 45-51 (in Korean).
  13. Kang. J. Y., Y. D. Kim, and B. S. Kang, 2013. Effect of change in hydrological environment by climate change on river water quality in Nam River watershed. Journal of Korea Water Resources Association 46(8): 873-884 (in Korean). https://doi.org/10.3741/JKWRA.2013.46.8.873
  14. Kang, R. Y., and S. H. Hong, 2018. The Effect on the forest temperature by reduced biomass caused by natural forest thinning. Korean Journal of Environment and Ecology 32(3): 303-312 (in Korean). doi:10.13047/KJEE.2018.32.3.303.
  15. Korea Forest Research Institute (KFRI), 2002. Forest watershed monitoring book (Water cycle survey of forest watershed), 22-25 (in Korean).
  16. Korea Environment Institute (KEI), 2013. A study of climate change adaptation policies for different types of droughts (in Korean).
  17. Kim, K. H., Y. H. Jeong, C. G. Jeong, J. H. Jun, and J. Y. Yoo, 2004. Effects of thinning and pruning on canopy storage capacity, net rainfall and interception loss in Pinus koraiensis and Abies holophylla plots. Journal of Korean For. Soc. 92(3): 276-283 (in Korean).
  18. Lee, H. J., D. S. Kong, S. H. Kim, K. S. Shin, J. H. Park, B. I. Kim, S. M. Kim, S. H. Jang, and S. U. Cheon, 2007. investigation on water quality variation characteristics during thy season in Namhan River drainage basin. Journal of Korean Society on Water Quality 23(6): 889-896 (in Korean).
  19. Lee, S. R., J. Y. Shin, G. J. Lee, Y. S. Sung, K. S. Kim, K. J. Lim, and J. G. Kim, 2018. Analysis of water pollutant load characteristics and its contributions during dry season: focusing on major streams inflow into South-Han river of Chungju-dam downstream. Korean Society of Environmental Engineers 40(6): 247-257 (in Korean). doi:10.4491/KSEE.2018.40.6.247.
  20. Lesch, W., and S. F. David, 1997. The response in water yield to the thinning of Pinus radiata, Pinus patula and Eucalyptus grandis plantations. Forest Ecology and Management 99(3): 295-307. doi:10.1016/S0378-1127(97)000450-5.
  21. Migliaccio, K. W., I. Chaubey, and B. E. Haggard, 2007. Evaluation of landscape and instream modeling to predict watershed nutrient yields. Environmental Modelling & Software 22: 987-999. doi:10.1016/j.envsoft.2006.06.010.
  22. Ministry of Environment, Preemptive response to water quality changes in Paldang Lake. http://www.me.go.kr/home/web/board/read.do?boardMasterId=1&boardId=343170&menuId=286. Accessed 13 Mar. 2014.
  23. National Institute of Environmental Research (NIER), 2013. A study of water quality model optimization with an application of TMDL reflected on the change of stream environment (in Korean).
  24. Park, S. C., J. W. Lee, G. W. Choi, J. M. Oh, and Y. G. Kim, 2003. Effect of water quality improvement with secure instream flow in Urban stream. The Conference of Korean Society of civil Engineers 2448-2452 (in Korean).
  25. Research Institute For Gangwon (RIG), 2016. Water resource management and drought control by Gangwon province in response to climate change (in Korean).
  26. Ramanarayanan, T. S., J. R. Williams, W. A. Dugas, L. M. Hauck, and A. M. S. McFarland, 1997. Using APEX to identify alternative practices for animal waste management, Minneapolis, MN. Paper No. 97-2209.
  27. Wonju Regional Environmental Office (WREO), 2017. Water environmental management plans for the middle network of the Seom-river (in Korean).
  28. Webb, A. A., and A. Kathuria, 2012, Response of streamflow to afforestation and thinning at Red Hill, Murray Darling Basin, Australia. Journal of Hydrology 412-413: 133-140. doi:10.1016/j.hydrol.2011.05.033.