한국농공학회논문집 (Journal of The Korean Society of Agricultural Engineers)

  • 제61권3호
  • /
  • Pages.67-76
  • /
  • 2019
  • /
  • 1738-3692(pISSN)
  • /
  • 2093-7709(eISSN)
한국농공학회 (The Korean Society of Agricultural Engineers)
권호 표지
DOI QR코드

DOI QR Code

한강수계 중권역별 오염물질 추세분석 및 달성도 평가를 통한 우선관리물질 선정

Pollutants Classification based on Trend Analysis and Assessment of Water Pollutants Achievement in Subbasins of Han River Basin

  • Kim, Kyeung (Rural Systems Engineering, Seoul National University) ;
  • Song, Jung-Hun (Department of Agricultural and Biological Engineering & Tropical Research and Education Center, University of Florida) ;
  • Lee, Do Gil (Department of Agricultural and Biological Engineering, University of Florida) ;
  • Hwang, Ha-sun (Water Environmental Research Department, National Institute of Environmental Research) ;
  • Kang, Moon Seong (Department of Rural Systems Engineering, Research Institute of Agriculture and Life Sciences, Institute of Green Bio Science and Technology, Seoul National University)
  • 투고 : 2019.02.28
  • 심사 : 2019.05.14
  • 발행 : 2019.05.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

The objectives of this study were to analyze trends of water pollutants and to evaluate the achievement of water quality standards by subbasins in the Han River. The trends of 40 water pollutants at 232 water quality measurement points were analyzed. Chemical oxygen demand (COD), Total organic carbon (TOC), Total coliforms (TC), et cetera were found to be worsening trend. For evaluation of achievement, we evaluated water quality arithmetic mean with river environment standards and human health standards at representative points of the subbasin. Biochemical oxygen demand (BOD), TOC, Total phosphorus (T-P), Fecal coliforms (FC), TC exceeded water quality standards, and water quality of human health standards was all satisfied. So, we prioritized pollutants. If pollutants exceed water quality standards or were worse, they were classified first pollutants. Although BOD and T-P are first pollutants because of water quality standards excess, they are continuously improved. Also, it is better to maintain current status because water quality management system of BOD and T-P is well prepared. Meanwhile, TOC, TC, and FC exceed water quality standards. Furthermore, they were worse gradually, but there is a lack of management systems such as water quality standards of the effluence facilities. Therefore, it is necessary to supplement the system. The results of this study can be used as primary data for the establishment of water quality standards and selection of management pollutants.

키워드

NGHHCI_2019_v61n3_67_f0001.png 이미지

Fig. 1 Study area and water quality monitoring point

NGHHCI_2019_v61n3_67_f0002.png 이미지

Fig. 2 Flow chart of trend analysis

NGHHCI_2019_v61n3_67_f0003.png 이미지

Fig. 3 Flow chart of assessment of water quality standards satisfaction

NGHHCI_2019_v61n3_67_f0004.png 이미지

Fig. 4 Result of trend analysis by subbasin

NGHHCI_2019_v61n3_67_f0005.png 이미지

Fig. 5 Result of evaluation of achievement by subbasin

Table 1 Water quality parameters and measurement cycle of water quality monitoring network

NGHHCI_2019_v61n3_67_t0001.png 이미지

Table 2 Reviewed water quality parameters (Presidential Decree No.28720, 27. Mar, 2018)

NGHHCI_2019_v61n3_67_t0002.png 이미지

Table 3 Classification of pollutants

NGHHCI_2019_v61n3_67_t0003.png 이미지

Table 4 Trend analysis result of all pollutants (2006∼2015)

NGHHCI_2019_v61n3_67_t0004.png 이미지

Table 5 Status of water quality standard of pollutants

NGHHCI_2019_v61n3_67_t0005.png 이미지

Table 6 Assessment of water quality standard satisfaction at subbasin representative point

NGHHCI_2019_v61n3_67_t0006.png 이미지

Table 7 Classification result of all pollutants by trend analysis and water quality standard satisfaction

NGHHCI_2019_v61n3_67_t0007.png 이미지

참고문헌

  1. Chang, H., 2008. Spatial analysis of water quality trends in the Han River basin, South Korea. Water Research 42: 3285-3304. https://doi.org/10.1016/j.watres.2008.04.006
  2. Cheong, E., H. Kim, Y. Kim, and D. Shin, 2016. Application of the load duration curve (LDC) to evaluate the rate of achievement of target water quality in the Youngsan.Tamjin River watersheds. Journal of Korean Society on Water Environment 32(4): 349-356. doi:10.15681/KSWE.2016.32.4.349.
  3. Choi, O. Y., K. H. Kim, and I. S. Han, 2015. A study on the spatial strength and cluster analysis at the unit watershed for the management of total maximum daily loads. Journal of Korean Society on Water Environment 31(6): 700-714. doi:10.15681/KSWE.2015.31.6.700.
  4. Choi, O. Y., H. T. Kim, H. S. Seo, and I. S. Han, 2017. Analysis of water quality changes & characterization at the watershed in Han River basin for target indicator in TMDLs. Journal of Korean Society on Water Environment 33(1): 15-33. doi:10.15681/KSWE.2017.33.1.15.
  5. Jamian, Y., Z. Lamat, and N. Rali, 2017. Trend analysis of water quality at Sungai Sarawak. Pertanika Journal Sciences & Technological 25(S): 55-62.
  6. Jung, K. Y., H. T. Kim, S. S. Kim, S. Kim, D. S. Shin, and G. H. Kim, 2017. Application of the load duration curve (LDC) to evaluate the achievement rate of target water quality in the Nakdong River unit watersheds. Journal of Environmental Science International 26(4): 433-445. doi:10.5322/JESI.2017.26.4.433.
  7. Kim, Y., and S. Lee, 2011. Evaluation of water quality for the Han River tributaries using multivariate analysis. Journal of Korean Society of Environmental Engineers 33(7): 501-510. doi:10.4491/ksee.2011.33.7.501.
  8. Kim, E., J. Ryu, H. Kim, Y. Kim, and D. Shin, 2015. Application of the load duration curve (LDC) to evaluate the achievement rate of target water quality in the Han-River watersheds. Journal of Korean Society on Water Environment 31(6): 732-738. doi:10.15681/KSWE.2015.31.6.732.
  9. Lee, J. S., S. Lee, and J. Lee, 2017. Evaluation of attainment ratio on water quality goal of the mid-watershed representative station. Journal of Korean Society on Water Environment 33(5): 525-530. doi:10.15681/KSWE.2017.33.5.525.
  10. Lee, Y. J., M. Park, J. Son, J. Park, G. Kim, C. Hong, D. Gu, J. Lee, C. Noh, K. Y. Shin, and S. J. Yu, 2017. Spatial and seasonal water quality variations of Han River tributries. Journal of Environmental Impact Assessment 26(6): 418-430. doi:10.14249/eia.2017.26.6.418.
  11. Minaudo, C., M. Meybeck, F. Moatar, N. Gassama, and F. Curie, 2015. Eutrophication mitigation in rivers: 30 years of trends in spatial and seasonal patterns of biogeochemistry of the Loire River (1980-2012). Biogeosciences 12: 2549-2563. doi:10.5194/bg-12-2549-2015.
  12. MOE, 2017. The second master plan of water environment management ('16-'25), Ministry of Environment.
  13. National Research Council, 2001. Assessing the TMDL approach to water quality management. National Academy Press, Washington, DC.
  14. Oelsner, G. P., L. A. Sprague, J. C. Murphy, R. E. Zuellig, H. M. Johnson, K. R. Ryberg, J. A. Falcone, E. G. Stets, A. V. Vec-chia, M. L. Riskin, L. A. De Cicco, T. J. Mills, and W. H. Farmer, 2017. Water-quality trends in the nation's rivers and streams, 1972-2012-data preparation, statistical methods, and trend results (ver. 2.0, October 2017). U.S. Geological Survey Scientific Investigations Report 2017-5006, 136. doi:10.3133/sir20175006.
  15. Park, J. D., J. H. Park, S. Y. Oh, and J. K. Lee, 2013. Evaluation of stream water quality to select target indicators for the management of total maximum daily loads. Journal of Korean Society on Water Environment 29(5): 630-340.
  16. Stets, E. G., C. J. Lee, D. A. Lytle, and M. R. Schock, 2017. Increasing chloride in rivers of the conterminous U.S. and linkages to potential corrosivity and lead action level exceedances in drinking water. Science of the Total Environment 613-614: 1498-1509. doi:10.1016/j.scitotenv.2017.07.119.
  17. Yu, S., H. Cho, I. Ryu, J. Son, M. Park, and B. Lee, 2018. Characteristics of spatial and temporal organic matter in the Han River watershed. Journal of Korean Society on Water Environment 34(4): 410-423. doi:10.15681/KSWE.2018.34.4.409.