We used a conventional activated sludge process to treat a paper wastewater, and then the effluent was treated with an ozone oxidation process as advanced process to remove non-degradable materials. It was found that the removal efficiency rates of the organic matter has been rapidly increased initially, and then it was almost constant after this period. The concentration of ozone should be recommended to maintain approximately 8.3 mg/L during this operation to keep the CODmn value below 100 mg/L and ozone contact time longer than 60 min.

Theoretical total nitrogen removal efficiency and reactor volume ratio in oxic-anoxic-oxic system can be found by influent water quality in this study. The influent water quality items for calculation were ammonia, nitrite, nitrate, alkalinity, and COD which can affect nitrification and denitrification reaction. Total nitrogen removal efficiency depends on influent allocation ratio. The total nitrogen removal follows the equation of 1/(1+b). Optimal reactor volume ratio for maximum TN removal efficiency was expressed by those influent water quality and nitrification/denitrification rate constants. It was possible to expect optimal reactor volume ratio by the calculation with the standard deviation of ±14.2.

상전환 방법에 의해 PVC계 MF막을 제조하여 환성슬러지가 포함된 폐수 처리용 MBR (Membrane bioreactor)에 적용하였다. 막 제조시 첨가제의 농도에 따른 막 특성을 확인한 결과 첨가제의 농도가 증가할수록 기공 크기가 증가하였으며 친수화도 역시 향상되었다. MBR의 내부 환경변화에 따른 실험을 통해 제조한 막의 투과 성능 및 막에 발생하는 막 오염 거동을 조사하였다. 사상균의 생성으로 인한 Sludge bulking 시 막 오염 현상이 가속화되었으며, 이 때 각 시료의 Rc을 조사한 결과 CP-0 > CP-1.0 > CP-1.5의 순으로 나타났고, 정상상태와 비교하여 sludge busking시 Rc값은 3.5~7배가지 증가하였다. 표면 특성이나 투과 유속면에서 PVP 1.5 wt% (CP-1.5)를 첨가하였을 때가 가장 적합하였다. 평균 투과 유속은 시료 모두에서 12(±2) L/m2hr 정도였으며, 평균 COD 제거율은 98.8% 정도를 나타내었다 MBR 운전에 있어 sludge bulking시 사상균이 차지하는 비율과 미생물의 모양과 크기에 따라 막 오염은 가속화 되었고, 투과 유속 감소를 보였다. 따라서 막 여과 특성은 막의 친수화 정도와 MBR 내부 미생물의 성장 조건과 환경에 의해 결정되는 것을 알 수 있었다.

활성슬러지 공정을 이용하여 Kraft 펄프공장에서 배출되는 유출수에 잔류하는 만성독성의 제거가능성을 평가하기 위하여 pilot plant를 운전하였다. 독성 이외에도 폐수내의 BOD, SS, resin과 fatty acids, 색도, 그리고 AOX와 같은 오염물질의 제거효과도 측정되었다. Pilot plant는 정상상태에서 약 10주 동안 운전되었으며 운전기간 동안의 평균 F/M 비율은 0.28, 그리고 sludge age는 8.4일로 계산되었다. 평균 MLSS 농도는 4,309mg/l이었으며 이중 휘발성 물질은 57%이었다. 운전기간 동안, BOD 제거계수(k)는 $30^{\circ}C$에서 8.2/일 이었으며 BOD 제거율은 full-scale 운전시보다 3~6% 정도 낮은 84%로 나타났다. 활성슬러지 유출수의 만성독성 시험은 Dinnel 방법과 BML 방법이 활용되었으며, 시험결과 pilot plant 활성슬러지 시스템에서도 효율적인 운전을 통하여 90% 이상의 독성제거가 가능함을 알 수 있었다. Pilot plant의 진 공정을 통해서 색도와 AOX의 제거는 매우 미미하였으나 resin과 fatty acids는 뛰어난 제거율을 나타내었다.

생물학적 폐수처리 공법중 활성 슬러시지 공법의 수학적 해법에 관한 연구는 Michaelis-Menton, Monod, Eckenfelder, McKinney 등에 의하여 개발되어왔다. 이들에 의해서 개발된 수학적 모델은 각기 연구되어 온 측면이 서로 다르고, 사용된 기호가 상이하기 때문에 사용자로 하여금 많은 혼란을 주고 있다. 본연구는 각기 수학적 모델을 이론적, 단편적으로 분석하고, 각기 모델에서 사용된 기호의 상호관계를 비교하여 각기모델을 통일시켜 사용자가 이해하기 쉽도록 노력하였다. 실제로 모형실험에는 Aeration Only Activated Sludge 공법을 채택하고 시료는 Glutamic acid 폐수로 행하였다. 실제로 처리하여 얻어진 결과치와 각기모델의 계산치를 1) 유기물제거속도 2) 슬럿지생산비 3) 유출수에 관리되지 않고 남은 유기물농도 4) 폭기조내 산소요구량에 대하여 비교 검토하였다. 본연구에서 시행한 운전결과와 그분석으로부터 McKinney와 Eckenfelder의 모델은 활성슬럿지공법의 생물학적 관리시설의 설계요소들을 모두 구할수 있으나 Michaelis-Menton과 Monod의 모델은 모든 요소들을 구할수 없다.

The behavior of copper throughout the whole process of wastewater treatment plant that uses the activated sludge process to treat the wastewater of petrochemical industry that contains low concentration of copper was investigated. Total inflow rate of wastewater that flows into the aeration tank was 697 m3/day with 0.369 mg/L of copper concentration, that is, total copper influx was 257.2 g/day. The ranges of copper concentrations of the influent to the aeration tank and effluent from the one were 0.315 ~ 0.398 mg/L and 0.159 ~ 0.192 mg/L, respectively. The average removal rate of copper in the aeration tank was 50.8 %. The bioconcentration factor (BCF) of copper by microbes in the aeration tank was 3,320. The accumulated removal rate of copper throughout the activated sludge process was 71.3%, showing a high removal ratio by physical and chemical reactions in addition to biosorption by microbes. The concentration of copper in the solid dehydrated by filter press ranged from 74.8 mg/kg to 77.2 mg/kg and the concentration of copper by elution test of waste was 2.690 ~ 2.920 mg/L. It was judged that the copper concentration in dehydrated solid by bioconcentration could be managed with the control of that in the influent.

The diagnostic software for the wastewater treatment plant using activated-sluge process is developed in order to increase the efficiency of management of the wastewater treatment plant. This software is based on the expert system and the visualized user interface including the diagnosis of quantitative and qualitative data. For the generalization of this software, the initialization of each unit process and updating the files can be possible.

This study was conducted to investigate the treatment of wastewater from acetaldehyde manufacturing plant by activated sludge process with Micrococcus roseus AW-6, Micrococcus luteus AW-22, Microbacterium lacticum AW-38 and Microbacterium laevaniformans AW-41. The COD_Mn and BOD_5 of the wastewater were 5,260㎎/L and 6,452㎎/L, respectively. pH was 1.85. The main organic component in the wastewater was acetic acid which was contained 67,600㎎/L. Optimum dilution time for activated sludge process was shown 10 times. The specific substrate removal rate(K_e) was 1.95day^-1 and the nonbiodegradable matters(S_n) were 23.2㎎/L. Saturation constant (K_e) and maximum specific growth rate(q_max) were 1,640㎎/L and 2.33day^-1, respectively. Sludge yield coefficient(Y) and endogenous respiration coefficient(K_d) were 0.28㎎ MLVSS/㎎COD and 0.02day^-1, respectively. COD_cr removal efficiency was 91% for 1.95day of hydraulic retention time.

The treatment performances of anaerobic-aerobic activated sludge process were investigated under various operation conditions. The treatment system proposed in this study gave a relatively stable performance against hourly change of the flow rate and showed a satisfactory removal of nitrogen and phosphorus compounds under experimental conditions. The recycle ratio of mixed liquor from aerobic to anaerobic region and peak coefficient primarily controlled the extent of nitrogen removal. The recycle ratio had the optimum values which were determined by the microbial activities of nitrification and denitrification. The behavior of the treatment unit could be simulated by using the kinetic equations and reactor models which considered the treatment units as complete mixing tanks.