• Membrane and Water Treatment
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• 제9권6호
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• pp.455-462
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• 2018

The measurement and monitoring of the biochemical oxygen demand (BOD) play an important role in the planning and operation of wastewater treatment plants. The most basic method for determining biochemical oxygen demand is direct measurement. However, this method is both expensive and takes a long time. A five-day period is required to determine the biochemical oxygen demand. This study has been carried out in a wastewater treatment plant in Turkey (Hurma WWTP) in order to estimate the biochemical oxygen demand a shorter time and with a lower cost. Estimation was performed using artificial neural network (ANN) method. There are three different methods in the training of artificial neural networks, respectively, multi-layered (ML-ANN), teaching learning based algorithm (TLBO-ANN) and artificial bee colony algorithm (ABC-ANN). The input flow (Q), wastewater temperature (t), pH, chemical oxygen demand (COD), suspended sediment (SS), total phosphorus (tP), total nitrogen (tN), and electrical conductivity of wastewater (EC) are used as the input parameters to estimate the BOD. The root mean squared error (RMSE) and the mean absolute error (MAE) values were used in evaluating performance criteria for each model. As a result of the general evaluation, the ML-ANN method provided the best estimation results both training and test series with 0.8924 and 0.8442 determination coefficient, respectively.

• 한국농공학회지
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• 제40권4호
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• pp.77-84
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• 1998

Adsorption and leaching characteristics of the artificial soils produced from water and wastewater treatment sludges were examined. The batch adsorption test and TCLP leaching test were used, and constituents of interest were heavy metals and nutrients. As, Cr, Cu, Pb, and Cd were analyzed for metals, and nitrogen and phosphorus were analyzed for nutrients. All the artificial soils showed strong adsorption and low leaching for the heavy metals, which implies that the artificial soils may not be hazardous to the environment due to heavy metals and even they can be utilized effectively to remove metals in solution like mine and industrial wastewaters. This is quite promising result because in most case heavy metals are the most concern in the application of sludge product to the farmland. For the nutrients, generally, artificial soils showed high adsorption and low leaching except artificial soil from wastewater sludge produced by low temperature firing. The artificial soils produced from water treatment sludge were active in adsorbing nutrients and showed low leaching that they can be practically used to remove nutrients in advanced treatment process of the wastewater. The artificial soils produced from wastewater treatment sludge were less active in adsorbing nutrients and showed high teaching. However, they could be used usefully if applied properly to the plant growing because of their fertilizing effect. Based on the test results, overall, the artificial soils were thought to be not hazardous to the environment and they could be more useful if applied properly.

• 한국축산시설환경학회지
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• 제6권2호
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• pp.65-72
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• 2000

This study was conducted to investigate the effects of artificial filaments equipped in the aeration tank of aerobic·fermentation system on the removal efficiency of swine wastes which were fermented an aerobically and thus containing high nitrogen. Two aerobic fermentation system each consist4s of 4 tanks ; storage tank, 1st and 2nd aeration tank and settling tank were run before and one or three weeks after equipment of artificial filament in the aeration tanks. Total solids concentration tended to increase by aerobic fermentation in all running periods. However, decreased(P<0.05) total nitrogen concentration was shown three weeks after the equipment of artificial filament. Ammonia nitrogen concentration also largely decreased(p<0.05) in both running periods of one and three weeks after equipment of artificial filaments. These results suggest that the artificial filaments may improve the removal efficiency of nitrogen in swine wastewater containing high nitrogen during aerobic fermentation.

• 한국환경농학회지
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• 제21권2호
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• pp.122-129
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• 2002

중금속 오염원을 제거하는 기술을 개발하고자 미나리를 도입하여 중금속 종류에 따른 적정 농도별로 중금속 흡수, 정화효율성 및 식물체내에서 중금속 축적과 이행과정을 조사하였다. 미나리를 이용한 중금속 정화효율성은 Cd의 경우 미나리 정식 6일 후 Artificial solution 처리구와 문막 공업폐수 처리구는 각각 53%, 73%의 정화효율성을 보였으며, Cu의 경우에는 각각 28%, 100%의 정화효율성을 보였다. 환경부에서 규정한 Cd의 청정지역 배출허용기준인 0.02 mg/L은 모든 처리구에서 10일 이후에 나타났으며, Cu의 기준농도인 0.5 mg/L은 Artificial solution 처리구의 경우 10일 이후, 문막 공업폐수 처리구는 3시간 이후에 나타났다. 또한 시간이 경과함에 따라 미나리내 중금속의 축적농도는 높아지는 경향을 보였으며, 처리구의 오염수 중금속 농도보다도 5$\sim$10배 이상 축적되었다. 미나리 식물체에 흡수된 중금속의 뿌리에서 지상부로의 이행율은 Artificial solution 처리구에서 Cd은 25%, 문막 공업폐수 처리구에서 Cu는 25% 이행하였다. 중금속에 대한 미나리의 생육반응은 문막 공업폐수 처리를 제외한 모든 처리구에서 미나리 생장이 억제되는 결과를 보였다. 따라서 본 연구결과 미나리는 중금속 오염수의 중금속 정화를 위한 식물정화기술에 유용하게 활용할 수 있을 것으로 판단된다.

• 한국농공학회지
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• 제44권2호
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• pp.161-173
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• 2002

Recently, absorbent biofilters, which are inexpensive and easy to manacle, have been supplied to the rural areas, but have limitations in removing the nutrients effectively. Accordingly, as an alternative plan. natural zeolites were arranged in front or at the rear of the absorbent biofilters, and their removal efficiency for nitrogen and, ultimately, their applicability to the on-site wastewater treatment system were studied. Furthermore, the same experiments were carried out on artificial zeolites, made from coal ashes at National Honam Agricultural Experiment Station, to compare natural zeolites with artificial ones. Treated wastewater through the Absorbent Biofilter showed 22.6% nitrogen removal efficiency, while 64.6% was attained when natural Zeolites were placed in front of the absorbent biofilters (Zeolite-Aerobic process). As an addition, phosphorus was also efficiently removed. On the other hand, Aerobic-Zeolite process, which arranged natural zeolites at the rear of the biofilters, did not have significantly higher nitrogen removal as compared to the treatment using only the absorbent biofilters. Furthermore, upon regeneration of the natural zeolite, the ion exchange rate was fecund to increase over 10% as compared to before regeneration. Our results show that natural zeolites, applied to the on-site wastewater treatment system through the Zeolite-Aerobic process, not only increase the removal efficiency of nutrients, but, by choosing the appropriate regeneration time, can also be cast-effective. Artificial zeolites, on the other hand, though more efficient in removing nutrients, cannot be regenerated and, therefore, are not cost-effective.

• 상하수도학회지
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• 제38권1호
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• pp.1-15
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• 2024

Occurrence of process environment changes, such as influent load variances and process condition changes, can reduce treatment efficiency, increasing effluent water quality. In order to prevent exceeding effluent standards, it is necessary to manage effluent water quality based on process operation data including influent and process condition before exceeding occur. Accordingly, the development of the effluent water quality prediction system and the application of technology to wastewater treatment processes are getting attention. Therefore, in this study, through the multi-channel measuring instruments in the bio-reactor and smart multi-item water quality sensors (location in bio-reactor influent/effluent) were installed in The Seonam water recycling center #2 treatment plant series 3, it was collected water quality data centering around COD, T-N. Using the collected data, the artificial intelligence-based effluent quality prediction model was developed, and relative errors were compared with effluent TMS measurement data. Through relative error comparison, the applicability of the artificial intelligence-based effluent water quality prediction model in wastewater treatment process was reviewed.

• 제어로봇시스템학회논문지
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• 제15권5호
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• pp.555-561
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• 2009

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.

• 상하수도학회지
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• 제31권4호
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• pp.289-296
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• 2017

Pulp and paper industry produces large volumes of wastewater and residual sludge waste, resulting in many issues in relation to wastewater treatment and sludge disposal. Contaminants in pulp and paper wastewater include effluent solids, sediments, chemical oxygen demand (COD), and biological oxygen demand (BOD), which should be treated by wastewater treatment processes such as coagulation and biological treatment. However, few works have been attempted to predict the treatment efficiency of pulp and paper wastewater. Accordingly, this study presented empirical models based on experimental data in laboratory-scale coagulation tests and compared them with statistical models such as artificial neural network (ANN). Results showed that the water quality parameters such as turbidity, suspended solids, COD, and UVA can be predicted using either linear or expoential regression models. Nevertheless, the accuracies for turbidity and UVA predictions were relatively lower than those for SS and COD. On the other hand, ANN showed higher accuracies than the emprical models for all water parameters. However, it seems that two kinds of models should be used together to provide more accurate information on the treatment efficiency of pulp and paper wastewater.

• 미생물학회지
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• 제48권3호
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• pp.187-191
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• 2012

Two component system (TCS)인 ZraS/R 및 CusS/R의 zraP와 cusC 유전자의 프로모터에 의해 green fluorescent protein (GFP)이 발현되도록 제작된 박테리아 바이오센서의 성능을 인공폐수에서 평가하였다. 제작된 박테리아 바이오센서는 실제 폐수를 모사한 인공폐수에서도 시료 중의 $Zn^{2+}$와 $Cu^{2+}$를 인지하여 GFP를 효율적으로 발현시키는 것을 확인할 수 있었다. 두 번째는 세포 표면에 금속 친화성 펩타이드가 표현되도록 제작된 구리 및 아연 제거 박테리아를 인공폐수 조건에서 평가하였다. 제작된 박테리아는 각각 ZraS/R 및 CusS/R TCS에 의해 주변의 $Zn^{2+}$와 $Cu^{2+}$를 인지하여 세포 표면에 OmpC-ZBP와 OmpC-CBP 융합 단백질을 발현시키는 시스템이다. 실험을 통해 표면에 금속 흡착 펩타이드가 발현된 재조합 균은 인공폐수 조건에서도 효과적으로 구리 및 아연을 흡착시키는 것을 확인하였다. 따라서 본 연구에서 개발된 TCS 기반 재조합 균은 인공폐수 조건에서 중금속의 인지 및 제거 기능이 효과적으로 작동하는 것이 확인되었다.

• 자원리싸이클링
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• 제16권1호
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• pp.68-72
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• 2007

전기적 환원을 이용한 인공 사진폐수에서의 은 회수를 연속순환식 공정을 적용하여 환원시간 및 두 전극간의 전합 차, 농도유량에 따른 영향을 검토하였다. 은 함유 인공폐수 처리에 있어 적용(인가) 전압과 초기 농도가 증가함에 따라 제거율이 증가함을 보였다. 은 함유 인공폐수의 전해 반응 시, 음극에 환원 석출된 물질의 정성적인 분석을 위해 EPMA 및 XRD 분석 결과, 석출된 물질이 은임을 확인하였다.