Environmental Engineering Research

  • 제17권2호
  • /
  • Pages.95-102
  • /
  • 2012
  • /
  • 1226-1025(pISSN)
  • /
  • 2005-968X(eISSN)
대한환경공학회 (Korean Society of Environmental Engineers)
권호 표지
DOI QR코드

DOI QR Code

Prediction of Chlorophyll-a Changes due to Weir Constructions in the Nakdong River Using EFDC-WASP Modelling

  • Seo, Dong-Il (Department of Environmental Engineering, Chungnam National University) ;
  • Kim, Min-Ae (Department of Environmental Engineering, Chungnam National University) ;
  • Ahn, Jong-Ho (Division of Water and Environment, Korea Environment Institute)
  • 투고 : 2012.01.21
  • 심사 : 2012.05.18
  • 발행 : 2012.06.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

To evaluate the effect of the 4 major rivers restoration project in the Nakdong River to water quality of the river, the Environmental Fluid Dynamics Code (EFDC) and Water Quality Analysis Simulation Program (WASP), are applied in series. Results showed overall decrease in biochemical oxygen demand ($BOD_5$) concentrations and increase in chlorophyll-a concentrations, while total nitrogen and total phosphorous concentrations did not show significant changes, relatively. Decrease in $BOD_5$ concentrations seems to be influenced by an increased hydraulic residence time, which may allow more time for the degradation of organic material. Changes in Chlorophyll-a (Chl-a) concentration, due to the project were more significant for the upper stream areas that show relatively low Chl-a concentration ranges (less than 20 g/L). After the introduction of the Geumho River in the middle part of the Nakdong River, rapid growth of phytoplankton was observed. However, in this middle part of the Nakdong River, the ratio of Chl-a concentration change are less significant, compared to the upper stream areas, due to the project. In the lower stream area, Chl-a concentration decreased after the project. This seems to be resulted from the decreased light availability, due to increased depth, while the nutrient concentrations have been high enough to support phytoplankton growth.

키워드

참고문헌

  1. Seo D. in Basin Environment management for the successful four great rivers project Korea. J. Korean Soc. Civil Eng. 2009;57:26-28.
  2. Jun KS, Kim JS. The four major rivers restoration project: impacts on river flows. KSCE J. Civil Eng. 2011;15:217-224. https://doi.org/10.1007/s12205-011-0002-x
  3. Chapra SC. Surface water quality modeling. London: Mc- Graw-Hill; 1997.
  4. Thomann RV, Mueller JA. Principles of surface water quality modeling and control. New York: Harper & Row; 1987.
  5. Ambrose RB, Wool TA, Barnwell TO. Development of water quality modeling in the United States. Environ. Eng. Res. 2009;14:200-210. https://doi.org/10.4491/eer.2009.14.4.200
  6. Franceschini S, Tsai CW. Assessment of uncertainty sources in water quality modeling in the Niagara River. Adv. Water Resour. 2010;33:493-503. https://doi.org/10.1016/j.advwatres.2010.02.001
  7. Liu Z, Kingery WL, Huddleston DH, et al. Modeling nutrient dynamics under critical flow conditions in three tributaries of St. Louis Bay. J. Environ. Sci. Health A Tox. Hazard. Subst. Environ. Eng. 2008;43:633-645. https://doi.org/10.1080/10934520801893725
  8. DiToro DM, Fitzpatrick JJ, Thomann RV. Documentation for water quality analysis simulation program (WASP) and model verification program (MVP). Chicago: US Environmental Protection Agency; 1983. EPA-600-3-81-044.
  9. Ambrose RB, Wool TA, Connolly JP, Schanz RW. WASP4, a hydrodynamic and water quality model: model theory, user's manual and programmer's guide. Chicago: US Environmental Protection Agency; 1988. EPA-600-3-87-039.
  10. Ambrose RB, Wool TA, Martin JL. The water quality analysis simulation program, WASP5 part A: model documentation. Athens: Environmental Research Laboratory, US Environmental Protection Agency; 1993.
  11. Hamrick JM. A three-dimensional environmental fluid dynamics computer code: theoretical and computational aspects. Gloucester Point: College of Williams and Mary, Virginia Institute of Marine Science; 1992.
  12. Hamrick JM. Linking hydrodynamic and biogeochemical transport models for estuarine and coastal waters. Proceedings of the 3rd International Conference on Estuarine and Coastal Modeling; 1993 Sep 8-10; Oak Brook, IL. New York: American Society of Civil Engineers; 1994. p. 591-608
  13. Johnson BH, Kim KW, Heath RE, Hsieh BB, Butler HL. Validation of three-dimensional hydrodynamic model of Chesapeake Bay. J. Hydraul. Eng. 1993;119:2-20. https://doi.org/10.1061/(ASCE)0733-9429(1993)119:1(2)
  14. Hamrick JM. User's manual for the environmental fluid dynamics computer code. Gloucester Point: College of Williams and Mary, Virginia Institute of Marine Science; 1996.
  15. Wool TA, Davie SR, Rodriguez HN. Development of threedimensional hydrodynamic and water quality models to support total maximum daily load decision process for the Neuse River estuary, North Carolina. J. Water Resour. Plan. Manag. 2003;129:295-306. https://doi.org/10.1061/(ASCE)0733-9496(2003)129:4(295)
  16. Seo MJ, Seo D, Lee YS, Yoon JH. 2-dimensional hydrodynamic and water quality analysis of water quality of the Geum River using EFDC and WASP7.2. Proceedings of the Korea Water Resources Association Conference; 2008 May 22-23; Daejeon, Korea. Seoul: Korea Water Resources Association; 2008. p. 1953-1956.
  17. Seo D, Sigdel R, Kwon KH, Lee YS. 3-D hydrodynamic modeling of Yongdam Lake, Korea using EFDC. Desalination Water Treat. 2010;19:42-48. https://doi.org/10.5004/dwt.2010.1894
  18. Seo D, Yu H. Error analysis of a steady state water quality model, QUAL2E using a combination of EFDC hydro and WASP7.2. Proceedings of IWA World Water Congress; 2008 Sep 7-12; Vienna, Austria. London: International Water Association; 2008.
  19. Seo D, Kim MA. Application of EFDC and WASP7 in series for water quality modelling of the Yongdam Lake, Korea. J. Korea Water Resour. Assoc. 2011;44:439-447. https://doi.org/10.3741/JKWRA.2011.44.6.439
  20. Park SS, Lee YS. A water quality modeling study of the Nakdong River, Korea. Ecol. Model. 2002;152:65-75. https://doi.org/10.1016/S0304-3800(01)00489-6
  21. Kim DK, Hong DG, Kim HW, Joo GJ, Jeong KS. Longitudinal patterns in limnological characteristics based on long-term ecological research in the Nakdong River. J. Ecol. Field Biol. 2011;34:39-47. https://doi.org/10.5141/JEFB.2011.006
  22. Jeong WJ, Ji U, Yeo WK. Sensitivity analysis of bed changes for different sediment transport formulas using the HEC-6 model - the lower Nakdong River. J. Environ. Sci. 2010;19:1219- 1227. https://doi.org/10.5322/JES.2010.19.10.1219
  23. Eum HI, Simonovic SP. Integrated reservoir management system for adaptation to climate change: the Nakdong River basin in Korea. Water Resour. Manag. 2010;24:3397-3417. https://doi.org/10.1007/s11269-010-9612-1
  24. Kim MC, Jeong KS, Kang DK, Kim DK, shin HS, Joo GJ. Time lags between hydrological variables and phytoplankton biomass responses in a regulated river (the Nakdong River). J. Ecol. Field Biol. 2009;32:221-227. https://doi.org/10.5141/JEFB.2009.32.4.221
  25. Lee EH, Seo D. Estimation of pollutant load to Yongdam reservoir considering rainfall effect. J. Korea Water Resour. Assoc. 2003;36:521-531. https://doi.org/10.3741/JKWRA.2003.36.4.521
  26. Jones JR, McEachern P, Seo D. Empirical evidence of monsoon influences on Asian Lakes. Aquat. Ecosyst. Health Manag. 2009;12:129-137. https://doi.org/10.1080/14634980902907342

피인용 문헌

  1. Assessment of Future Climate Change Impact on Water Quality of Chungju Lake, South Korea, Using WASP Coupled with SWAT vol.49, pp.6, 2013, https://doi.org/10.1111/jawr.12085
  2. The Research and Application Progress of Environmental Fluid Dynamics Code vol.03, pp.03, 2014, https://doi.org/10.12677/JWRR.2014.33031
  3. A Structurally Simplified Hybrid Model of Genetic Algorithm and Support Vector Machine for Prediction of Chlorophyll a in Reservoirs vol.7, pp.4, 2015, https://doi.org/10.3390/w7041610
  4. Analysis of optimum grid determination of water quality model with 3-D hydrodynamic model using environmental fluid dynamics code (EFDC) vol.21, pp.2, 2016, https://doi.org/10.4491/eer.2015.137
  5. Fuzzy Logic Method for Evaluating Habitat Suitability in an Estuary Affected by Land Reclamation vol.36, pp.S1, 2016, https://doi.org/10.1007/s13157-014-0606-2
  6. Limnological assessment of the meteo-hydrological and physicochemical factors for summer cyanobacterial blooms in a regulated river system vol.52, pp.2100-000X, 2016, https://doi.org/10.1051/limn/2015038
  7. Seasonal Variation in Flocculation Potential of River Water: Roles of the Organic Matter Pool vol.9, pp.5, 2017, https://doi.org/10.3390/w9050335
  8. Enhanced Two Dimensional Hydrodynamic and Water Quality Model (CE-QUAL-W2) for Simulating Mercury Transport and Cycling in Water Bodies vol.9, pp.9, 2017, https://doi.org/10.3390/w9090643
  9. Effects of Weir Construction on Phytoplankton Assemblages and Water Quality in a Large River System vol.15, pp.11, 2018, https://doi.org/10.3390/ijerph15112348
  10. Determination of the forecasting-model parameters by statistical analysis for development of algae warning system vol.57, pp.55, 2012, https://doi.org/10.1080/19443994.2016.1190106
  11. Suitable habitat mapping in the Yangtze River Estuary influenced by land reclamations vol.97, pp.None, 2012, https://doi.org/10.1016/j.ecoleng.2016.06.121
  12. EFDC-WASP 연계모형을 이용한 소규모 농업용 저수지 비소 농도 모의 vol.60, pp.5, 2012, https://doi.org/10.5389/ksae.2018.60.5.29
  13. 수영만으로 유입되는 육상기인 오염물질의 체류특성 모델링 vol.25, pp.1, 2012, https://doi.org/10.7837/kosomes.2019.25.1.045
  14. Applicability of water quality models around the world-a review vol.26, pp.36, 2019, https://doi.org/10.1007/s11356-019-06637-2
  15. Accounting for the Three-Dimensional Distribution of Escherichia coli Concentrations in Pond Water in Simulations of the Microbial Quality of Water Withdrawn for Irrigation vol.12, pp.6, 2012, https://doi.org/10.3390/w12061708
  16. Influence of Abiotic Factors on the Growth of Cyanobacteria Isolated from Nakdong River, South Korea1 vol.57, pp.3, 2021, https://doi.org/10.1111/jpy.13143
  17. Biomass Production Potential in a River under Climate Change Scenarios vol.55, pp.16, 2012, https://doi.org/10.1021/acs.est.1c03211