Journal of Wetlands Research (한국습지학회지)

Korean Wetlands Society (한국습지학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on the Calculation of Nonpoint Source EMCs using SWMM in Transportation Area

강우유출모형을 활용한 교통지역 비점오염원 EMCs 산정 연구

  • Kwon, Heongak (Nakdonggang Water Environment Research Center, National Institute of Environmental Research) ;
  • Im, Toehyo (Nakdonggang Water Environment Research Center, National Institute of Environmental Research) ;
  • Lee, Jaewoon (Nakdonggang Water Environment Research Center, National Institute of Environmental Research) ;
  • Jeong, Hyungi (Nakdonggang Water Environment Research Center, National Institute of Environmental Research) ;
  • Lee, Chunsik (Department of Environmental Engineering, Kyeongnam National University of Science and Technology) ;
  • Cheon, Seuk (Nakdonggang Water Environment Research Center, National Institute of Environmental Research)
  • 권헌각 (국립환경과학원 낙동강물환경연구소) ;
  • 임태효 (국립환경과학원 낙동강물환경연구소) ;
  • 이재운 (국립환경과학원 낙동강물환경연구소) ;
  • 정현기 (국립환경과학원 낙동강물환경연구소) ;
  • 이춘식 (경남과학기술대학교) ;
  • 천세억 (국립환경과학원 낙동강물환경연구소)
  • Received : 2015.03.27
  • Accepted : 2015.05.13
  • Published : 2015.05.31
Download PDF
⟨ Previous Next ⟩

Abstract

In this study, a long term monitering of nonpoint source pollution runoff is conducted at the area of transportation related and EMCs(Event Mean Concentrations) in terms of water quality items, such as BOD, $COD_{Mn}$, SS, T-N and T-P are determined for each not only runoff event and but also observation site. On the other hands, SWMM(Storm Water Management Model) model is constructed using the data collected in the transportation areas selected. Model calibration and verification of SWMM is carried out based on the data collected. And simulated EMCs was compared with observed EMCs by monitoring and prior studies. SWMM applicability estimation was Using the compared result. The results of simulation showed that BOD 5.787 ~ 14.475 mg/L, $COD_{Mn}$ 12.946 ~ 59.611 mg/L, SS 13.742 ~ 46.208 mg/L, T-N 2.037 ~ 5.213 mg/L, T-P 0.117 ~ 0.415 mg/L. And a differential between simulated EMCs and observed EMCs is too low so comparing result show high fit(BOD 4.27 %, $COD_{Mn}$ 4.87%, SS 2.31%, T-N 5.78%, T-P 14.45%). A results of compared with the prior studies, BOD and T-P are included range of prior studies, $COD_{Mn}$ and SS are lower than range of prior studies, T-N is higher than range of prior studies. Differential between simulated EMCs and prior studies EMCs was showing for survey seasonal and changing land-use, so from now on, EMCs of using the internal representatives value will be calculated by more monitoring toward various precipitation events.

본 연구에서는 토지피복 중 교통지역을 대상으로 장기 모니터링된 비점오염원 부하유출 결과를 검 보정 자료로 적용하여 SWMM 모형을 지점별로 구축하였다. SWMM을 통해 모의된 EMCs값의 변동범위는 BOD, $COD_{Mn}$, SS, T-N, T-P 농도가 각각 5.7~14.4 mg/L, 12.9~59.6 mg/L, 13.74~46.20 mg/L, 2.03~5.21 mg/L, 그리고 0.117~0.415 mg/L이었다. 또 이 결과를 현장 실측치와 비교한 결과, 실측치에 대한 모의치 오차(%)가 각각 4.2%, 4.8%, 2.3%, 5.7%, 14.4%으로 총인의 14.4%를 제외하고 오차범위가 10% 이하이었다. 문헌조사 결과와의 비교에서도, BOD, T-P의 경우는 문헌조사 농도변화 범위 내에 포함되었으며, CODMn, SS의 경우 범위보다 낮게 산정되었다. 그러나 T-N의 경우 범위보다 높았다. 이러한 차이는 기존 문헌이 조사된 시기와 토지이용형태가 달라진 최근의 비점오염원 유출 농도를 장기 모니터링하고, 이 결과를 바탕으로 구축, 모의 된 EMCs의 경우 실측값을 잘 대변하였다. 따라서 문헌 결과와의 일부 차이는 조사 시기별 토지이용 형태에 의한 차이로 보이며, 향후 좀 더 다양한 강우사상 및 지점에 대한 모니터링을 통해 국내 대푯값으로 적용할 수 있는 EMCs를 산정할 수 있을 것으로 판단된다.

Keywords

References

  1. National Institute of Environmental Research, (2012). Guideline for Survey of Storm Runoff.
  2. Kwon, HG, Lee, JW, Yi, YJ, Yoon, YS, Lee, CS and Lee, JK (2011). The Applicability for Estimating MFFn by SWMM in The Trunk Road, J. of Korean Society on Water Quality, 27(5), pp. 605-616.[Korean Literature]
  3. Kim, LH and Lee, SH (2005). Characteristics of Washed-off Pollutants and Dynamic EMCs in a Parking Lot and a Bridge during Storms, J. of Korean Society on Water Quality, 21(3), pp. 248-255.[Korean Literature]
  4. Yoon, YS, Kwon, HG, Yi, YJ, Yu, JJ, Lee, CS and Lee, JK (2010). Analysis of Nonpoint Sources Runoff Characteristic by Road Types, J. of the Environmental Sciences, 19(11), pp. 1375-1384.[Korean Literature]
  5. Lee, BS, Jung, YJ, Park, MJ and Gil, KI (2008). A Study on the Discharge Characteristics of Non-point Pollutant Source in Agricultural Area of the Kyongan Watershed, J. of Korean Society on Water Quality, 24(2), pp. 169-173.[Korean Literature]
  6. Jin, YH and Park, SC (2006). Study on the Discharge Characteristics of Non-Point Pollutant Source in the Urban Area of the Youngsan-River Basin, J. of Korean Society on Water Quality, 22(4), pp. 605-613.[Korean Literature]
  7. Son, HG, Lee, SY, Lee, EJ and Kim, LH (2008). Runoff Characteristics and Relationship between Non-point Source Pollutants from Road, J. of the Korean Society of Hazard Mitigation, 8(5), pp. 59-64.[Korean Literature]
  8. Lee, HD, Ahn, JH, BAE, CH and Kim, WJ (2001). Estimation of the Unit Loading and Total Loading of Nonpoint Source in Paldang Watershed by Runoff Loading during the Rainfall, J. of Korean Society on Water Environment, 17(3), pp. 313-326.[Korean Literature]
  9. Hwang, BG (2005). Analyzing Runoff Characteristics of Nonpoint Sources During Rainfall in Urban Area, J. of Korean Society of Environmental Impact Assessment, 14(2), pp. 75-85.[Korean Literature]
  10. Deletic, A. B., Mahsimivic, C. T., 1998, Evaluation of water quality factors in storm runoff from paved areas, Journal of Environment Engineering, 123(9), pp. 869-879.