DOI QR코드

DOI QR Code

Assessment of water quality in an artificial urban canal: A case study of Songdo City in South Korea

  • Ahn, Jungkyu (Department of Civil and Environmental Engineering, Incheon National University) ;
  • Na, Yeji (Department of Civil and Environmental Engineering, Incheon National University) ;
  • Park, Sung Won (Department of Civil and Environmental Engineering, Incheon National University)
  • Received : 2018.08.12
  • Accepted : 2018.11.23
  • Published : 2019.12.30

Abstract

Currently, the waterfront facility was constructed in New Songdo City, South Korea. It has the various water leisure areas and especially an artificial urban canal with filtered seawater by re-circulating flow system. However, due to excessive amount of nutrients from seawater combined with complicated geometry, it is highly vulnerable to deterioration of water quality. In this study, flow characteristics and pollutant transport were analyzed with comprehensive numerical models, MIKE 3 FM and ECO-lab. Based on these numerical results, notable sampling points were selected for field measurements and comparison between modeling and measured results were conducted. In addition, the integrated water quality evaluation index, Water Quality Index was applied to analyze various water quality issues. We also set up scenarios to control the two kinds of water quality factors, dissolved oxygen (DO), and total phosphorus (TP). As a result, the effect of 20% reduction of TP was less than 10% and it was almost ineffective for a year but it was reduced by up to 40% in case of scenario which DO is increased by 20%. Therefore, it was recommended to control the DO concentration, usually by applying re-aeration facility, rather than TP in artificial urban canal with seawater.

Keywords

References

  1. MEIS-KMEMC Korea. Marine Environment Information provided by Korea Marine Environment Management Corporation [internet] Available from: http://www.meis.go.kr.
  2. Yeo HG, Kang H. Water quality and phytoplankton community in the coastal waters of Inchon. J. Korean Environ. Sci. Soc. 1998;7:321-326 (in Korean).
  3. Carpenter E, Montoya JP, Burns J, Mulholland M, Subramaniam A, Capone DG. Extensive bloom of a N2-fixing diatom/cyanobacterial association in the tropical Atlantic Ocean. Mar. Ecol. Prog. Ser. 1999;185:273-283. https://doi.org/10.3354/meps185273
  4. Jones AB, Carruthers TJ, Pantus F, Thomas JE, Saxby TA, Dennison WC. A water quality assessment of the Maryland Coastal Bays including nitrogen source identification using stable isotopes. Data report, Univ. of Maryland Center for Environmental Science; 2004.
  5. Lee SO, Kim S, Kim M, Lim KJ, Jung Y. The effect of hydraulic characteristics on algal bloom in an artificial seawater canal: A case study in Songdo City, South Korea. Water 2014;6:399-413. https://doi.org/10.3390/w6020399
  6. Symonds AM, Vijverberg T, Post S, Van der Spek BJ, Henrotte J, Sokolewicz M. Comparison between MIKE 21 FM, Delft3D and Delft3D FM flow models of Western Port Bay, Australia. Proceedings of International Conference on Coastal Engineering; 2016; Antalya.
  7. Toombes L, Chanson H. Numerical limitations of hydraulic models. Proceedings of the 34th International Association for Hydraulic Research World Congress; 2011; Brisbane. p. 2322-2329.
  8. Flow Science. Flow-3D user's manual. Flow Science: Los Alamos, NM, USA; 2003.
  9. DHI. MIKE 21 and MIKE 3 Flow Model FM Hydrodynamic and Transport Module-Scientific Documentation. 2017.
  10. DHI. MIKE ECO Lab Scientific Description. 2017.
  11. Biron P, Best JL, Roy AG. Effects of bed discordance on flow dynamics at open channel confluences. J. Hydraul. Eng. 1996;122:676-682. https://doi.org/10.1061/(ASCE)0733-9429(1996)122:12(676)
  12. Lurton Electronic Enterprise Co., Ltd. [Internet]. Available from: http://www.lutron.com.tw.
  13. Jang DW, Park HS. Water quality impact assessment of future Songdo Sewage Treatment Plant using Korean water quality index. Int. J. Softw. Eng. Applic. 2015;9:29-40.

Cited by

  1. The fuzzy comprehensive evaluation (FCE) and the principal component analysis (PCA) model simulation and its applications in water quality assessment of Nansi Lake Basin, China vol.26, pp.2, 2019, https://doi.org/10.4491/eer.2020.022