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원주천 수질개선 방안 및 개선효과 평가

An Analysis of the Water Quality Improvement Measures and Evaluation of Wonju Stream

  • Kum, Donghyuk (EM Research Institute) ;
  • Shin, Minhwan (EM Research Institute) ;
  • Yu, Nayeong (EM Research Institute) ;
  • Lee, Seolo (Department of Agriculture and Biological Engineering, Kangwon National University) ;
  • Kim, Dongjin (Total Maximum Daily Load Management Division, Wonju Regional Enviroment Office) ;
  • Sung, Younsoo (Total Maximum Daily Load Management Division, Wonju Regional Enviroment Office) ;
  • Lee, Sang Soo (Department of Environmental Engineering, Yonsei University)
  • 투고 : 2020.09.24
  • 심사 : 2020.11.10
  • 발행 : 2021.01.31

초록

Recently, the deterioration of water quality in Wonju stream has been reported due to the increase in diverse pollution sources along with community development and urbanization. Various types of attempts with a huge budget were made for better water quality so far, but its effectiveness is still doubted. In order to establish site-oriented measures for water quality improvement, the topographic and hydrologic factors were evaluated based on site inspection and survey. As the major streams merged into the Wonju stream, the Hwa and Heungyang streams were found to have higher pollution loads and contributions compared to other streams due to the scattered livestock farms and industries, and vulnerable land use. Notably, the discharge water from the Wonju Public Sewage Treatment Plant had the highest level of pollution load, impacting on the water quality of Wonju Stream. According to the SWAT model as water quality measures, the improvement effect of water quality in this treatment plant can be reached to the reductions in BOD 11.06%, T-N 23.56%, T-P 10.60% when the proper managements applied, whereas the improvement of water quality would be 3.89%, 1.23%, and 3.32% for BOD, T-N, T-P, respectively, for the industries. The reduction of the livestock industry was generally very high as a pollution source, but it was not much higher at the end of Wonju Stream than other measures. These results recommended that the water q uality improvement measures should be designated for each upper-middle-lower section in Wonju stream.

키워드

참고문헌

  1. Arnold, J. G., 1992. Spatial scale varialbility in model development and parameterization. Ph.D. Diss., West Lafayette, Ind.: Purdue University.
  2. Arnold, J. G., and R. Srinivasan, 1994. Intergration of a BASIN scale water quality model with GIS. Water Resources Bulletin, Journal of the American Water Resources Association 30(3): 453-462. doi:10.1111/j.1752-1688.1994.tb03304.x.
  3. Arnold, J. G., R. Srinivasan, R. S. Muttiah, and J. R. Williams, 1998. Large area hydrologic modelling and assessment: part I model development, Journal of the American Water Resources Association 34(1): 73-89. doi:10.1111/j.1752-1688.1998.tb05961.x.
  4. Donigian, 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 2000 Washington, D.C., USA Office of Water, Office of Science and Technology.
  5. Jang, S. W., H. J. Yoon, and W. C. Seo, 2015. Analysis of the estuary outflow characteristics of floating debris in the downstream of Nakdong river using seatllite location tracking buoys. Journal of the KIECS 10(2): 157-164 (in Korean).
  6. Jang, S. W., and H. J. Yoon, 2017. Estimation of movement amount of river floating debris based on effective rainfall and flow rate. Journal of the KIECS 12(1): 237-242 (in Korean).
  7. Jang, W. S., Y. Park, J. Kim, N. Kim, J. Choi, Y. S. Ok, J. E. Yang, and K. J. Lim, 2010. Development of the SWAT DWDM for accurate estimation of soil erosion from an agricultural field. Journal of the Korean Society of Agricultural Engineers 52(1): 79-88 (in Korean). doi:10.5389/KSAE.2010.52.1.079.
  8. Kim, D. S., 2020. A Study on the introduction of advanced water treatment process for waboo water treatment plant by the analysis of raw water quality in Paldang lake. M.S, diss., Chungang, Ind.: Chungang University (in Korean).
  9. Kyonggi Development Institute (KDI), 2009. A study on the establishment of an efficient management system for small scale livestock manure treatment facilities (in Korean).
  10. Lim, K. J., 2018. Study of water pollution characteristics and pollution reduction plan during dry season for major streams flowing into South-Han river. Hanam, Gyeonggi: Hang Gang Watershed Management Committee (in Korean).
  11. Ministry of Environment (ME), 2008. Seom river mid-watershed water environment management plan in 2008 (in Korean).
  12. National Institute of Environmental Research (NIER), 2019. Technical guidance of TMDL (in Korean).
  13. Neitsch, S. L., G. J. Arnold, J. R. Kiniry, and J. R. Williams, 2005a. Soil and water assessment tool theoretical documentation version 2005. Texas: USDA, ARS.
  14. Neitsch, S. L., G. J. Arnold, J. R. Kiniry, and J. R. Williams, 2005a. Soil and water assessment tool user's manual version 2005, Texas: USDA, ARS.
  15. Nash, J. E., and J. V. Sutcliffe, 1970. River floe forecasting through conceptual models. Part I-A discussion of principles. Journal of Hydrology 27(3): 282-290. https://doi.org/10.1016/0022-1694(70)90255-6