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다매체거동모델을 이용한 대도시 자동차 배출 Polycyclic Aromatic Hydrocarbons (PAHs) 거동 해석 및 영향평가
이가희,황보순호,유창규,Rhee, Gahee,Hwangbo, Soonho,Yoo, ChangKyoo 한국화학공학회 2018 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.56 No.4
본 연구에서는 자동차배출화학물질 중 발암성 및 돌연변이 유발 물질인 PAHs (Polycyclic Aromatic Hydrocarbons)의 다매체 간 거동 모델링, 농도 분포, 그리고 영향평가를 수행하였다. S시의 차량 통계와 PAHs의 배출계수를 이용하여 PAHs의 배출량을 산정하였고, 도시의 불투수면적에서 대기-토양의 물질이동 제한조건을 바탕으로 다매체 퓨가시티 모델링을 수행하였다. 다매체 퓨가시티 모델을 이용하여 정상상태에서 환경 매체내 PAHs의 농도 분포를 예측하고(Level III), 각 모델 변수에 대하여 몬테카를로 민감도 분석을 바탕으로 비정상상태에서 환경 매체내 PAHs 잔류량 및 매체 간 물질 이동으로 인한 매체별 농도분포와 위해성 평가를 수행하였다(Level IV). S시의 경우 배출된 PAHs중 Fluoranthene이 네 가지 환경 매체(대기, 수계, 토양, 침전물)에서 모두 가장 높은 잔류농도(60.0%, 53.5%, 32.0%, 33.6%)를 보였으며 침전물에서 가장 높은 농도(80%이상)로 잔류하였다. 34년 동안 S시 환경 매체 중의 PAHs 농도 변화 분석 결과, 모든 환경 매체에서 PAHs 잔류량은 1983년부터 2005년까지 증가하였고, 이후 2016년까지 감소한 것을 확인하였으며, 각각 환경매체에서 트럭을 포함한 중량차량(Heavy Duty Vehicles, HDVs) 배출가스의 PAHs 농도 기여도가 큰 것으로 나타났다. 매체 별 PAHs 농도는 토양과 수계에서 34년간 기준치보다 작은 값을 보였으나, 대기중 PAHs농도는 권고치를 초과하는 농도값을 보였다. 본 연구 결과를 통해 지난 30여년 동안 대도시 자동차 배출 화학물질인 PAHs의 환경 중 거동 및 위해성을 평가를 통하여 PAH물질 관리 및 규제의 필요성을 제시하고, 다양한 환경 매체 내 독성화학물질 관리 및 모니터링에 기여할 수 있을 것으로 기대된다. This study was carried out to research the multimedia fate modeling, concentration distribution and impact assessment of polycyclic aromatic hydrocarbons (PAHs) emitted from automobiles, which are known as carcinogenic and mutation chemicals. The amount of emissions of PAHs was determined based on the census data of automobiles at a target S-city and emission factors of PAHs, where multimedia fugacity modeling was conducted by the restriction of PAHs transfer between air-soil at the impervious area. PAHs' Concentrations and their distributions at several environmental media were predicted by multimedia fugacity model (level III). The residual amounts and the distributions of PAHs through mass transfer of PAHs between environment media were used to assess the health risk of PAHs at unsteady state (level IV), where the sensitivity analyses of the model parameter of each variable were conducted based on Monte Carlo simulation. The experimental result at S-city showed that Fluoranthene among PAHs substances are the highest residual concentrations (60%, 53%, 32% and 34%) at all mediums (atmospheric, water, soil, sediment), respectively, where most of the PAHs were highly accumulated in the sediment media (more than 80%). A result of PAHs concentration changes in S-city over the past 34 years identified that PAHs emissions from all environmental media increased from 1983 to 2005 and decreased until 2016, where the emission of heavy-duty vehicle including truck revealed the largest contribution to the automotive emissions of PAHs at all environment media. The PAHs concentrations in soil and water for the last 34 years showed the less value than the legal standards of PAHs, but the PAHs in air exceeded the air quality standards from 1996 to 2016. The result of this study is expected to contribute the effective management and monitoring of toxic chemicals of PAHs at various environment media of Metropolitan city.
실규모 하수처리공정에서 동력학적 동특성에 기반한 인공지능 모델링 및 예측기법
김민한(Min-Han Kim),유창규(ChangKyoo Yoo) 제어로봇시스템학회 2009 제어·로봇·시스템학회 논문지 Vol.15 No.5
The established mathematical modeling methods have limitation to know the hydraulic characteristics at the wastewater treatment plant which are complex and nonlinear systems. So, an artificial neural network (ANN) model based on hydraulic characteristics is applied for modeling wastewater quality of a full-scale wastewater treatment plant using DNR (Daewoo nutrient removal) process. ANN was trained using data which are influents (TSS, BOD, COD, TN, TP) and effluents (COD, TN, TP) components in a year, and predicted the effluent results based on the training. To raise the efficiency of prediction, inputs of ANN are added the influent and effluent information that are in yesterday and the day before yesterday. The results of training data tend to have high accuracy between real value and predicted value, but test data tend to have lower accuracy. However, the more hydraulic characteristics are considered, the results become more accuracy.