DOI QR코드

DOI QR Code

Study on the simulation of contamination route and estimation of the pollution sources of DNOC using a numerical model

수치모형을 이용한 DNOC의 물질 거동 모의와 오염원 추정 연구

  • Park, Kyeong-Deok (Department of Environmental engineering, Pukyong National University) ;
  • Kim, Il-Kyu (Department of Environmental engineering, Pukyong National University)
  • Received : 2016.12.05
  • Accepted : 2017.02.01
  • Published : 2017.02.28

Abstract

To estimate pollution sources in the watershed with various industries, the simulation of contamination route and distribution of 2-methyl-4,6-dinitriophenol(DNOC) were performed with a numerical model Hydro Geo Sphere. This study was performed calculations of the load using the measured concentration and simulated flow rate. And, the river was divided by the sampling sites at the mainstream, and the contribution rate at downstream sampling sites was calculated for each section. The results showed the concentration of the downstream sampling sites were decided by the concentration of upstream sites, and the contribution rates of the tributaries were calculated below 10%. The results also showed that the impact of the potential sources in Section 1(Geumho1 ~ Geumho2) and Section 5(Geumho5 ~ Geumho6) was larger than in the other area. In Section1 and Section5, It seemed to require detailed investigation.

Keywords

References

  1. ATSDR(Agency for Toxic Substances and Disease Registry) (1995). Toxicological profile for dinitrocresols, ATSDR, Atlanta, GA, USA.
  2. Badia, A.E., Ha-Duong, T., Hamdi, A. (2005). Identification of a point source in a linear advection-dispersion- reaction equation: Application to a pollution source problem, 2005 IOP Publishing Ltd Inverse Problems, 21(3), 1121-1136.
  3. Bartsch, S. (2013). Monsoonal affected dynamics of nitrate and dissolved organic carbon in a mountainous catchment under intensive land-use, Doctor's Thesis, the University of Bayreuth, Bayreuth, Germany.
  4. Bieganska, J. (2005). Neutralization of 4,6-dinitro-o-cresol waste pesticide by means of detonative combustion, Environ. Sci. Technol., 39(4), 1190-1196. https://doi.org/10.1021/es035327p
  5. Boano, F., Revelli, R., Ridolfi, L. (2005). Source identification in river pollution problems: A geostatistical approach, Water Resour. Res., 41(7), W07023. https://doi.org/10.1029/2004WR003754
  6. Broholm, M.M., Tuxen, N., Rugge, K., Bgerg, P.L. (2001). Sorption and degradation of the herbicide 2-Methyl-4,6-dinitrophenol under aerobic conditions in a sandy aquifer on Vegen, Denmark, Environ. Sci. Technol., 35, 4789-4797. https://doi.org/10.1021/es010096c
  7. Brunner, P., Simmons, C.T. (2012). HydroGeoSphere: A fully integrated, physically based hydrological model, Groundwater, 50(2), 170-176. https://doi.org/10.1111/j.1745-6584.2011.00882.x
  8. Castilho, R.F., Vicente, J.A.F., Kowaltowski, A.J., Vercesi, A.E. (1997). 4,6-Dinitro-o-cresol uncouples oxidative phosphorylation and induces membrane permeability transition in rat liver mitochondria, Int. J. Biochem. Cell Bio., 29(7), 1005-1011. https://doi.org/10.1016/S1357-2725(97)00041-1
  9. Cheng, W.P., Jia, Y. (2010). Identification of contaminant point source in surface waters based on backward location probability density function method, Adv. Water Res., 33(4), 397-410. https://doi.org/10.1016/j.advwatres.2010.01.004
  10. De Schepper, G., Therrien, R., Refsgaard, J.C., Hansen, A.L. (2014). Simulating coupled surface and subsurface water flow in a tile-drained agricultural catchment, J. Hydrol., 521, 374-388.
  11. GLCF(Global Land Cover Facility). http://glcf.umd.edu/data/landcover/ (March 3, 2016).
  12. Hayatsu, M., Hirano, M., Tokuda, S. (2000). Involvement of two plasmids in fenitrothion degradation by burkholderia sp. Strain NF100, Appl. Environ. Microbiol., 66(4), 1737-1740. https://doi.org/10.1128/AEM.66.4.1737-1740.2000
  13. Hutanu, C.A.D., Zaharia M., Pintilie O. (2013). Quenching of tryptophan fluorescence in the presence of 2,4-DNP, 2,6-DNP, 2,4-DNA and DNOC and their mechanism of toxicity, Molecules, 18(2), 2266-2280. https://doi.org/10.3390/molecules18022266
  14. Katopodes, N.D., Piasecki, M. (1996). Site and size optimization of contaminant sources in surface water systems, J. Environ. Eng., 122(10), 917-923. https://doi.org/10.1061/(ASCE)0733-9372(1996)122:10(917)
  15. Kim, D.J., Yoon, J.K., Yoo, J.Y., Kim, S.J., Yang, J.E. (2014). Status and management strategy of pesticide use in golf courses in Korea, J. Appl. Biol. Chem., 57(3), 267-277. https://doi.org/10.3839/jabc.2014.043
  16. Kourakos, G., Harter, T. (2014). Parallel simulation of groundwater non-point source pollution using algebraic multigrid preconditioners, Comput. Geosci., 18, 851-867. https://doi.org/10.1007/s10596-014-9430-2
  17. Lee, M.H., Choi, I.C., Han, S.K. (2008). Toxic assessment on effluents of argo/industrial wastewater treatment plants in Jeonnam using chemical and biological method, J. Korean Soc. Mar. Environ. Saf., 14(4), 267-273.
  18. Li, Z., Mao, X.Z., Li, T.S., Zhang, S. (2016). Estimation of river pollution source using the space-time radial basis collocation method, Adv. Water Res., 88, 68-79. https://doi.org/10.1016/j.advwatres.2015.11.019
  19. Liu, C., Ball W.P. (1999). Application of inverse methods to contaminant source identification from aquitard diffusion profiles at Dover AFB, Delaware, Water Resour. Res., 35(7), 1975-1985. https://doi.org/10.1029/1999WR900092
  20. Lutz, S.R., Van Meerveld, H.J., Waterloo, M.J., Broers, H.P., Van Breukelen, B.M. (2013). A model-based assessment of the potential use of compound-specific stable isotope analysis in river monitoring of diffuse pesticide pollution, Hydrol. Earth Syst. Sci., 17, 4505-4524. https://doi.org/10.5194/hess-17-4505-2013
  21. Mahar, P.S., Datta, B. (2001). Optimal identification of ground-water pollution sources and parameter estimation, J. water Resour. Plann. Manage., 127(1), 20-29. https://doi.org/10.1061/(ASCE)0733-9496(2001)127:1(20)
  22. McCuen, R.H. (2004). Hydrologic analysis and design. 3rd Ed., Pearson Prentice Hall, New Jersey, USA.
  23. MOE(Ministry of Environment) (2014). Statistics of sewerage.
  24. Nakdong River Watershed Management Committee (2015). A Survey on the monitoring of potentially hazardous compounds and contamination routes in tributary of the Nakdong River system. 3rd annual report.
  25. Piasecki, M., Katopodes, N.D. (1997). Control of contaminant releases in rivers. II: Optimal design, J. Hydraul. Eng., 123(6), 493-503. https://doi.org/10.1061/(ASCE)0733-9429(1997)123:6(493)
  26. Smith, J.N., Smithies, R.H., Williams R.T. (1952). Urinary metabolites of 4:6-dinitro-o-cresol in the rabbit, Biochem. J., 54(2), 225-230.
  27. Takahashi, K.L., Aoyama, H., Kawashima, K., Teramoto S. (2003). Effects of dinoseb, 4,6-dinitro-o-cresol, and 2,4-dinitrophenol on rat Sertoli-germ cell co-cultures, Reprod. Toxicol., 17(2), 247-252. https://doi.org/10.1016/S0890-6238(02)00130-2
  28. WAMIS(Water Resource Management Information System). http://www.wamis.go.kr/ (February 16, 2016).
  29. WHO(World Health Organization) (2000). Environmental Health Criteria 220: Dinitro-o-cresol, Geneva, Switzerland.
  30. Won, J.O. (2013). A study on the use and soil residuals of pesticide in golf courses of Korea, Master's Thesis, Kwangwoon University.
  31. Yin, Y., Sykes, J.F., Normani, S.D. (2015). Impacts of spatial and temporal recharge on field-scale contaminant transport model calibration, J. Hydrol., 527, 77-87. https://doi.org/10.1016/j.jhydrol.2015.04.040
  32. Zhang, S., Xin, X. (2016). Pollutant source identification model for water pollution incidents in small straight rivers based on genetic algorithm, Appl. Water Sci., 1-9.

Cited by

  1. 금호강 유역에서의 4-nitrophenol 배출 특성과 오염원 기여도 모의 연구 vol.33, pp.1, 2017, https://doi.org/10.11001/jksww.2019.33.1.043