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Analysis of Water Quality caused by Improvement of Sewage Treatment Plant in Masan Bay

하수처리장 개선이 마산만 수질에 미치는 영향분석

  • Oh Hyun-Taik (National Fisheries R&D Institute, Marine Environment Management Team.) ;
  • Goo Jun-Ho (National Fisheries R&D Institute, Marine Environment Management Team.) ;
  • Park Sung-Eun (National Fisheries R&D Institute, Marine Environment Management Team.) ;
  • Choi Yun-Sun (National Fisheries R&D Institute, Marine Environment Management Team.) ;
  • Jung Rae-Hong (National Fisheries R&D Institute, Marine Environment Management Team.) ;
  • Choi Woo-Jeung (National Fisheries R&D Institute, Marine Environment Management Team.) ;
  • Lee Won-Chan (National Fisheries R&D Institute, Marine Environment Management Team.) ;
  • Park Jong-Soo (National Fisheries R&D Institute, Marine Environment Management Team.)
  • 오현택 (국립수산과학원 환경관리팀) ;
  • 구준호 (국립수산과학원 환경관리팀) ;
  • 박성은 (국립수산과학원 환경관리팀) ;
  • 최윤선 (국립수산과학원 환경관리팀) ;
  • 정래홍 (국립수산과학원 환경관리팀) ;
  • 최우정 (국립수산과학원 환경관리팀) ;
  • 이원찬 (국립수산과학원 환경관리팀) ;
  • 박종수 (국립수산과학원 환경관리팀)
  • Published : 2005.08.01

Abstract

For the sustainable management of marine ecosystem in Masan Bay, we have to assess the carrying capacity and standard of target water quality. In this research, we assume that all pollutants loads are treated in Dukdong sewage treatment plant, then we simulate the physical-biological model for prediction water quality for the achievement of standard water quality. In 2001 year, for the achievement of COD 2.5 mg/L, we need to reduce COD $90\%$, nitrogen $30\%$, phosphate $90\%$ than that of the present value, According to these results, the water quality of sewage treatment plant is required to treat COD 13.5 mg/L, nitrogen 33.3 mg/L, phosphate 6,0 mg/L. If the sewage treatment plant will be expanded much larger in 2011, it will need to be treated in COD 6.6 mg/L, nitrogen 2.5 mg/L, phosphate 5 mg/L for the achievement of water quality standard in COD 2.5 mg/L.

Keywords

References

  1. 한국해양수산개발원, 2001, 해양의 부영양화와 적조-해양환경 보전활동 강화를 위한 제2차 정책 워크샵, 69-73
  2. 국립수산과학원, 2005, 한국연안의 적조발생 상황, 발간등록번호, 14-18
  3. 김종구, 정태주, 2003, 군산연안 해역에서의 부영양화 제어에 관한 연구, 한국환경과학회지, 12(9), 947-966
  4. USEPA, 1994, Water quality standard handbook, Office of Water U.S., Washington D.C. 10-80
  5. 주진규, 황병기, 이정렬, 2000, 부영양화 모델을 이용한 마산만 수질예측, 한국물환경학회 춘계 학술발표회 논문집, 351-353
  6. 강시환, 박광순, 김상익, 유승협, 1999, 마산만 수중 방류수의 계절별 근역희석률 변화, 한국해안 . 해양공학회지, 11(2), 116-126
  7. 이대인, 2000, 낙동강 하구해역의 식물플랑크톤 극대역 변동에 관한 수치시뮬레이션, 부경대학교 대학원 박사학위 논문, 39-50
  8. 조홍연, 채장원, 1998, 진해 . 마산만 오염부하량의 특성분석, 한국해안 . 해양공학회지, 10(3), 132-140
  9. Kim, D. M., 2003, Ecological Modeling for Estimation of Environmental Characteristics in Masan Bay, J. of the Environmental Sciences, 12(8), 841-846 https://doi.org/10.5322/JES.2003.12.8.841
  10. Nakata, K, 1991, A model of the formation of oxygen depleted waters in Tokyo Bay, KAIKOU, 5(2), 1-26
  11. 김종구, 박청길, 김광수, 1994, 하계 마산만의 부영양화 제어를 위한 생태계모델의 적용, 한국환경과학회지 , 3(3), 185-195
  12. 마산시, 2002, 마산 . 창원 하수처리시설 고도처리 공정개선 기본 및 실시설계 보고서, 1-30
  13. 한국해양연구원, 1996, 한반도 주변 조화상수 자료집
  14. 해양수산부, 2001a, 환경관리해역 환경개선연구, 320-340
  15. Sohma, A., Y. Sekiguchi, H. Yamada, T. Sato and K. nakata, 2001, A new coastal marine ecosystem model study coupled with hydrodynamics and tidal flat ecosystem effect, Marine Pollution Bulletin, 43, 187-208 https://doi.org/10.1016/S0025-326X(01)00083-2
  16. Taguchi, K. and K. Nakata, 1998, Analysis of water quality in lake Hamana using a coupled physical and biochemical model, J. Marine Systems, 16, 107-132 https://doi.org/10.1016/S0924-7963(97)00102-4
  17. 해양수산부, 2002, 환경관리해역 환경관리 특별 연구, 346-354

Cited by

  1. Long-Term Variations of Water Quality in Jinhae Bay vol.17, pp.4, 2014, https://doi.org/10.7846/JKOSMEE.2014.17.4.324
  2. Modeling for Pollution Contribution Rate of Land based Load in Masan Bay vol.22, pp.1, 2016, https://doi.org/10.7837/kosomes.2016.22.1.059