Browse > Article

Water Quality Simulation at Mulgeum of the Nakdong River using Zooplankton Community Data  

Lee, Sangho (Division of Civil Engineering, Pukyong National University)
Choi, Jung-Min (Korea Land & Housing Corporation, Land & Housing Institute)
Jeong, Kwang-Seuk (Department of Biology, Pusan National University)
Publication Information
Journal of Korean Society on Water Environment / v.25, no.6, 2009 , pp. 832-839 More about this Journal
Abstract
Since construction of the estuarine barrage at the mouth of the Nakdong River, eutrophication and increased abundance of phytoplankton have occurred mainly due to the increased retention time in the reach. However, during the spring, there is a decrease in chlorophyll-a, as a result of an increase in zooplankton number, which preys upon phytoplankton and affects the value of chlorophyll-a. In order to emphasize the importance of zooplankton data in water quality simulation, zooplankton community data were used to simulate water quality and eutrophication at Mulgeum located in 27 km upstream from the barrage. WASP 7.2 was used as the water quality model for the river, using a monthly data set from 2003 to 2005 for model calibration and verification. The results showed that chlorophyll-a, DO, and total nitrogen in the river were simulated well during the verification period. The results of water quality simulation using zooplankton community data in the model were better than those with phytoplankton death rate, in terms of the absolute value of percent bias, root mean square error, and Nash-Sutcliffe efficiency. Those results indicate the use of zooplankton data provides more accurate simulation results for chlorophyll-a and eutrophication.
Keywords
Chlorophyll-a; Eutrophication; Mulgeum; WASP 7.2; Zooplankton;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 기상청(2004). 기상월보
2 김진호, 신동석, 권순국(2008). 대청댐 유역관리를 위한 수정-WASP5 모형의 적용. 수질보전 한국물환경학회지, 24(1),pp. 7-18
3 부산광역시(2004). 낙동강 조사월보
4 최정민(2008). WASP 7.2와 신경망모형을 이용한 낙동강의 수질모의 및 예측. 석사학위논문, 부경대학교
5 Gupta, H. V., Sorooshian, S., and Yapo, P. O. (1999). Status of automatic calibration for hydrologic model: Comparison with multilevel expert calibration. Journal of Hydrologic Engineering, ASCE, 4(2), pp. 135-143   DOI   ScienceOn
6 Jeong, K. S., Kim, D. K., and Joo, G. J. (2007). Delayed influence of dam storage and discharge on the determination of seasonal proliferations of Microcystis aeruginosa and Stephanodiscus hantzschii in a regulated river system of the lower Nakdong River (South Korea). Water Research, 41, pp. 1269-1279   DOI   ScienceOn
7 Kim, H. W., Hwang, S. J., and Joo, G. J. (2000). Zooplankton grazing on bacteria and phytoplankton in a regulated large river (Nakdong River, Korea). Journal of Plankton Research, 22, pp. 1559-1577   DOI   ScienceOn
8 Wang, P. F., Martin, J., and Morrison, G. (1999). Water Quality and Eutrophication in Tampa Bay, Florida, Estuarine. Coastal and Shelf Science, 49, pp. 1-20   DOI   ScienceOn
9 건설교통부(2005). 한국수문조사연보
10 Kim, H. W. and Joo, G. J. (2000). The longitudinal distribution and community dynamics of zooplankton in a regulated large river: a case study of the Nakdong River (Korea). Hydrobiologia, 438, pp. 171-184   DOI   ScienceOn
11 Lung, W. S. and Larson, C. E. (1995). Water quality modeling of upper Mississippi River and Lake Pepin. Journal of Environmental Engineering, 121(10), pp. 691-699   DOI   ScienceOn
12 건설교통부(2003). 한국수문조사연보
13 기상청(2005). 기상월보
14 성기준(1993). 하천 수질모형의 비교분석에 관한 연구. 석사학위논문, 서울대학교
15 Hernandez, P., Ambrose, R. B. Jr, Prats, D., Ferrandis, E., and Asensi, J. C. (1997). Modeling eutrophication kinetics in reservoir microcosms. Water Reserch, 31(10), pp. 2511-2519   DOI   ScienceOn
16 Kim, H. W., Ha, K., and Joo, G. J. (1998). Eutrophication of the lower Nakdong River after the construction of an estuarine dam in 1987. International Review of Hydrobiology, 83, pp. 65-72   DOI   ScienceOn
17 강신욱, 이상호(2007). 다단계 자동보정 기법에 의한 NWS-PC모형 매개변수의 추정. 대한토목학회논문집, 27(3), pp.211-218
18 Di Toro, D. M., Fitzpatrick, J. J., and Thomann, R. V. (1983).Water Quality Analysis Simulation Program (WASP) and Model Verification Program (MVP) documentation. Hydroscience,Inc., Westwood, NY
19 유하나, 서동일(2007). 한강 하류에 대한 비정상상태 모델 WASP7.2 동시 적용에 관한 연구. 공동춘계학술발표회 논문집, 한국물환경학회･대한상하수도학회, pp. 32-40
20 조홍연, 전경수, 이길성, 한광석(1993). WASP4 모형의 매개변수추정-팔당호를 중심으로. 대한토목학회논문집, 13(4),pp. 177-188
21 Jeong, K. S., Recknagel, F., and Joo, G. J. (2006). Prediction and elucidation of population dynamics of the blue-green algae Microcystis aeruginosa and the diatom Stephanodiscus hantzschii in the Nakdong river-reservoir system (South Korea) by a recurrent artificial neural network. Ecological Informatics: Scope, Techniques and Applications, F. Recknagel(ed.), Springer, Berlin, pp. 195-213
22 기상청(2003). 기상월보
23 부산광역시(2003). 낙동강 조사월보
24 건설교통부(2004). 한국수문조사연보
25 부산광역시(2005). 낙동강 조사월보
26 Ha, K., Cho, E. A., Kim, H. W., and Joo, G. J. (1999).Microcystis bloom formation in the lower Nakdong River in South Korea: Imoportance of hydro dynamics and nutrient loading. Marine and Freshwater Research, 50, pp.89-94   DOI   ScienceOn