Membrane and Water Treatment

  • 제10권1호
  • /
  • Pages.13-17
  • /
  • 2019
  • /
  • 2005-8624(pISSN)
  • /
  • 2092-7037(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Analysis of pollutant build-up model applied to various urban landuse

  • Choi, Jiyeon (Water Environment Research Department, National Institute of Environmental Research) ;
  • Na, Eunhye (Water Environment Research Department, National Institute of Environmental Research) ;
  • Ryu, Jichul (Water Environment Research Department, National Institute of Environmental Research) ;
  • Kim, Jinsun (Water Environment Research Department, National Institute of Environmental Research) ;
  • Kim, Hongtae (Water Environment Research Department, National Institute of Environmental Research) ;
  • Shin, Dongsuk (Water Environment Research Department, National Institute of Environmental Research)
  • 투고 : 2018.04.30
  • 심사 : 2018.09.03
  • 발행 : 2019.01.25
⟨ 이전 논문 다음 논문 ⟩

초록

This study was conducted to analyse the application of pollutant build-up model on various urban landuses and to characterize pollutant build-up on urban areas as a source of stormwater runoff pollution. The monitored data from impervious surfaces in urban areas such as commercial (8 sites), industrial (10 sites), road (8 sites), residential (10 sites), recreational (5 sites) from 2008 to 2016 were used for the analysis of pollutant build-up model. Based on the results, the average runoff coefficients vary from 0.35 to 0.61. In all landuses except recreational landuse, the runoff coefficient is 0.5 or more, which is the highest in the commercial area. Commercial landuse where pollutants occur at the highest EMC in all landuse, and it is considered that NPS management is necessary compared with other landuses. The maximum build-up load for organic matter (BOD) was highest in the commercial area ($4.59g/m^2$), and for particular matter (TSS) in the road area ($5.90g/m^2$) while for nutrient (TN and TP) in the residential area ($0.40g/m^2$, $0.14g/m^2$). The rate constants ranged from 0.1 to 1.3 1/day depending on landuse and pollutant parameters, which means that pollutant accumulation occurs between 1 and 10 days during dry day. It is clear that these build-up curves can generally be classified based on landuse. Antecedent dry day (ADD) is a suitable and reasonable variable for developing pollutant build-up functions. The pollutant build-up curves for different landuse shows that these build-up curves can be generally categorized based on landuse.

키워드

과제정보

연구 과제 주관 기관 : National Institute Environmental Research (NIER)

참고문헌

  1. Duncan, H.P. (1995), "A review of urban stormwater quality processes", Report No. 95/9; Cooperative Research Centre for Catchment Hydrology, Australia.
  2. Egodawatta, P. and Goonetilleke, A. (2006), "Characteristics of pollutants build-up on residential road surfaces", Proceedings of the 7th International Conference on Hydroscience and Engineering, Philadelphia, USA, September.
  3. Egodawatta, P., Thomas, E. and Goonetilleke, A. (2007), "Mathematical interpretation of pollutant wash-off from urban road surfaces using simulated rainfall", Water Res., 41(13), 3025-3031. https://doi.org/10.1016/j.watres.2007.03.037
  4. Field, R., Borst, M., O'Connor, T.P., Stinson, M.K., Fan, C., Perdek, J.M. and Sullivan, D. (1998), "Urban wet-weather flow management: research directions", J. Water Resour. Plann. Manage., 124, 168-180. https://doi.org/10.1061/(ASCE)0733-9496(1998)124:3(168)
  5. Kim, L.H., Zoh, K.D., Jeong, S.M., Kayhanian, M. and Stenstrom, M.K. (2006), "Estimating pollutant mass accumulation on highways during dry periods", J. Environ. Eng., 132(9), 985-993. https://doi.org/10.1061/(ASCE)0733-9372(2006)132:9(985)
  6. Korea Water and Wastewater Works Association (KWWA) (2011), "Sewerage system standard", Minister of Environment, Sejong, Korea.
  7. Li, M.H., Barrett, M.E., Rammohan, P., Olivera, F. and Landphair, H.C. (2008), "Documenting stormwater quality on Texas highways and adjacent vegetated roadsides", J. Environ. Eng., 134(1), 48-59. https://doi.org/10.1061/(ASCE)0733-9372(2008)134:1(48)
  8. Moriasi, D.N., Arnold, J.G., Van Liew, M.W., Bingner, R.L., Harmel, R.D. and Veith, T.L. (2007), "Model evaluation guidelines for systematic quantification of accuracy in watershed simulations", Trans. ASABE, 50(3), 885-900. https://doi.org/10.13031/2013.23153
  9. National Institute of Environmental Research (NIER) (2012), "Runoff monitoring method", National Institute of Environmental Research, Incheon, Korea.
  10. Rossman, L.A. (2010), "Storm water management model user's manual version 5.0", EPA/600/R-05/040; U.S. Environmental Protection Agency, National Risk Management Research Laboratory-Office of Research and Development, Cincinnati, Ohio, USA.
  11. Sartor, J.D. and Boyd, G.B. (1972), "Water pollution aspects of street surface contaminants", EPA-R2-72-081; U.S. Environmental Protection Agency, Washington, D.C., USA.
  12. Sutherland, R.C. and Jelen, S.L. (1998), "Simplified particulate transport model user's manual, version 3.2", Pacific Water Resources, Inc, Beaverton, Oregon, USA.
  13. Tobio, J.A.S., Maniquiz-Redillas, M.C. and Kim, L.H. (2015), "Physical design optimization of an urban runoff treatment system using Stormwater Management Model (SWMM)", Water Sci. Technol., 72(10), 1747-1753. https://doi.org/10.2166/wst.2015.381
  14. Tsihrintzis, V.A. and Hamid, R. (1997), "Modeling and management of urban stormwater runoff quality: A review", Water Resour. Manage., 11, 137-164.
  15. Wang, L., Wei, J., Huang, Y., Wang, G. and Maqsood, I. (2011), "Urban nonpoint source pollution buildup and washoff models for simulating storm runoff quality in the Los Angeles County", Environ. Pollut., 159(7), 1932-1940. https://doi.org/10.1016/j.envpol.2011.03.019