• 제목/요약/키워드: Oxygen demand

검색결과 931건 처리시간 0.031초

쓰레기 매립지 침출수가 이태리 포플러의 생장에 미치는 효과 (Effects of Waste Leachate in the Landfill on the Growth of Populus euramericana)

  • 우수영;김판기;이동섭;김동근;권오규;배관호
    • 한국농림기상학회:학술대회논문집
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    • 한국농림기상학회 2001년도 춘계 학술발표논문집
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    • pp.73-76
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    • 2001
  • 쓰레기를 매립한 후 매립장에서 유출되는 침출수는 높은 생물학적 산소요구량(Biological Oxygen Demand: BOD)으로 인해서 지하수 오염과 더불어서 식생에도 부정적인 영향을 줄 수 있다. 더욱이 산업쓰레기에는 중금속이 다량 들어 있어서 침출수의 집적, 유출로 인해서 토양을 오염시켜 생태계를 위협하고 있다(정종관과 장원, 1995).(중략)

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해수운동모델을 이용한 황해 환경용량의 개략 산정 (A Rough Estimation of Environmental Capacity in the Yellow Sea using a Numerical Hydrodynamic Model)

  • 김광수;김동명;박청길
    • 한국해양환경ㆍ에너지학회지
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    • 제2권1호
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    • pp.63-73
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    • 1999
  • 3파원 해수유동모델을 이용하여 황해의 잔차류를 시뮬레이션한 결과, 북위 34° 25' 위도선을 통한 잔차류량은 조석주기당 약 4km³, 체류시간은 약 6년으로 산성되었고, 황해의 남동 경계선을 통한 잔차류량은 조석주기당 약 13km³, 체류시간은 약 2.5년으로 산정되었다. 황해의 용존산소량은 하계의 해수중 용존산소를 5.0mg/ℓ이상으로 유지하면서, 약 58×10/sup 6/ton의 화학적 산소요구량(COD)윽 수용할 수 있으므로, 유기오염 부하량의 한계로 표현한 황해의 환경용량은 황해고 유입하는 주요 하천들의 연간 유기오염 부하량의 약 8배에 해당한다. 하계에 있어서, 북위 34ℓ 25' 위도선의 전체 수층을 통한 잔차류량은 하루에 약 57×10³ton의 용존산소를 수송하고, 또한 황해의 남동 경계선의 전체 수층을 통한 잔차류량은 하구에 약 203×10³ton의 용존산소를 수송하는 것으로 산정되었다. 따라서 황해가 해수중의 용존산소를 전혀 감소시키지 않고, 유입 하천의 유기오염 부하량을 수용할 수 있는 환경용량은, 북위 34° 25' 위도선을 통한 잔차류에 의한 용존산소 수송량을 기준으로 표현할 경우에는 황해고 유입하는 주요 하천들의 화학적 산소요구량(COD) 부하의 약 3배에 해당하고, 또한 황해의 남동 경계선을 통한 잔차류에 의한 용존산소 수송량을 기준으로 표현하면, 황해로 유입하는 주요 하천들의 화학적 산소요구량(COD) 부하의 약 10배에 해당한다.

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Water Quality Assessment and Turbidity Prediction Using Multivariate Statistical Techniques: A Case Study of the Cheurfa Dam in Northwestern Algeria

  • ADDOUCHE, Amina;RIGHI, Ali;HAMRI, Mehdi Mohamed;BENGHAREZ, Zohra;ZIZI, Zahia
    • 공업화학
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    • 제33권6호
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    • pp.563-573
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    • 2022
  • This work aimed to develop a new equation for turbidity (Turb) simulation and prediction using statistical methods based on principal component analysis (PCA) and multiple linear regression (MLR). For this purpose, water samples were collected monthly over a five year period from Cheurfa dam, an important reservoir in Northwestern Algeria, and analyzed for 12 parameters, including temperature (T°), pH, electrical conductivity (EC), turbidity (Turb), dissolved oxygen (DO), ammonium (NH4+), nitrate (NO3-), nitrite (NO2-), phosphate (PO43-), total suspended solids (TSS), biochemical oxygen demand (BOD5) and chemical oxygen demand (COD). The results revealed a strong mineralization of the water and low dissolved oxygen (DO) content during the summer period. High levels of TSS and Turb were recorded during rainy periods. In addition, water was charged with phosphate (PO43-) in the whole period of study. The PCA results revealed ten factors, three of which were significant (eigenvalues >1) and explained 75.5% of the total variance. The F1 and F2 factors explained 36.5% and 26.7% of the total variance, respectively and indicated anthropogenic pollution of domestic agricultural and industrial origin. The MLR turbidity simulation model exhibited a high coefficient of determination (R2 = 92.20%), indicating that 92.20% of the data variability can be explained by the model. TSS, DO, EC, NO3-, NO2-, and COD were the most significant contributing parameters (p values << 0.05) in turbidity prediction. The present study can help with decision-making on the management and monitoring of the water quality of the dam, which is the primary source of drinking water in this region.

입력변수 구성에 따른 총유기탄소(TOC) 예측 머신러닝 모형의 성능 비교 (Comparison of the Performance of Machine Learning Models for TOC Prediction Based on Input Variable Composition)

  • 이소현;박정수
    • 유기물자원화
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    • 제32권3호
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    • pp.19-29
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    • 2024
  • 총 유기 탄소 (total organic carbon, TOC)는 물에 포함된 유기 탄소의 총량을 나타내며 BOD, COD와 함께 수중의 유기물질량에 대한 정량적인 지표로 활용되는 대표적인 수질 항목이다. 본 연구에서는 대표적인 앙상블(ensemble) 머신러닝 알고리즘의 하나인 XGBoost (XGB)를 이용하여 TOC를 예측하는 모형을 구축하였다. 모형의 구축을 위한 독립변수로는 수온, pH, 전기전도도, 용존 산소 농도, 생물화학적 산소요구량, 화학적 산소요구량, 부유물질, 총질소, 총인 및 유량을 활용하였다. 또한 모형의 구축에 활용된 다양한 수질 항목의 영향에 대한 정량적인 분석을 위해 입력변수의 feature importance를 산정하였으며, 이를 기반으로 변수중요도에 따라 중요도가 낮은 항목을 순차적으로 제외하여 모형의 성능 변화를 분석하였다. 변수중요도가 낮은 항목을 순차적으로 제외하여 구축한 모형의 성능은 RSR (root mean squared error-observation standard deviation ratio) 0.53~0.55의 범위를 보였으며, 전체 입력변수를 적용한 모형의 RSR 값은 0.53로 가장 우수한 성능을 보이는 것으로 분석되었다. 또한 모형의 현장 적용성을 높이기 위해 현장 측정이 상대적으로 용이한 측정항목을 중심으로 모형을 구축하고 성능을 분석하였다. 분석결과 상대적으로 측정이 용이한 항목인 수온, pH, 전기전도도, 용존산소농도, 부유물질농도만으로 구축된 모형의 경우에도 RSR 값이 0.72로 분석되어 상대적으로 측정이 용이한 현장 수질측정항목만을 이용하는 경우에도 안정적인 성능의 확보가 가능할 수 있음을 확인하였다.

Comparison of BOD, COD, TOC and DOC as the Indicator of Organic Matter Pollution of Agricultural Surface Water in Gyeongnam Province

  • Lee, Seong-Tae;Lee, Young-Han;Hong, Kwang-Pyo;Lee, Sang-Dae;Kim, Min-Kyeong;Park, Jong-Hwan;Seo, Dong-Cheol
    • 한국토양비료학회지
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    • 제46권5호
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    • pp.327-332
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    • 2013
  • This survey was conducted to obtain basic data about organic matter such as BOD (Biochemical Oxygen Demand), COD (Chemical Oxygen Demand), DOC (Dissolved Organic Carbon) and TOC (Total Organic Carbon) in agricultural water in Gyeongnam province. BOD and COD are currently used for water quality indices, but adoption of TOC is being suggested. The surface water samples were collected at 39 locations in Gyeongnam province in April, July and October. Average concentrations of BOD, COD, DOC and TOC were 1.6, 3.3, 5.3 and $5.7mg\;L^{-1}$, respectively. In July, average concentrations of BOD and COD were 2.4 and $3.9mg\;L^{-1}$, respectively, showing these values were higher than other months. Average concentrations of TOC in April, July and October were 4.8, 7.4 and $4.8mg\;L^{-1}$, respectively. This suggested that the highest value of TOC was in July. Average decomposition efficiencies for BOD-C/TOC and COD-C/TOC were 11.4 and 23.9%, respectively. Correlation coefficient of TOC and DOC was higher by 0.995, whereas that of TOC and COD was lower by 0.763. Especially, TOC and DOC were highly related than others.

한강수질 평가를 위한 COD (화학적 산소 요구량) 모델 평가 (Chemical Oxygen Demand (COD) Model for the Assessment of Water Quality in the Han River, Korea)

  • Kim, Jae Hyoun;Jo, Jinnam
    • 한국환경보건학회지
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    • 제42권4호
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    • pp.280-292
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    • 2016
  • Objectives: The objective of this study was to build COD regression models for the Han River and evaluate water quality. Methods: Water quality data sets for the dry season (as of January) during a four-year period (2012-2015) were collected from the database of the Han River automatic water quality monitoring stations. Statistical techniques, including combined genetic algorithm-multiple linear regression (GA-MLR) were used to build five-descriptor COD models. Multivariate statistical techniques such as principal component analysis (PCA) and cluster analysis (CA) are useful tools for extracting meaningful information. Results: The $r^2$ of the best COD models provided significant high values (> 0.8) between 2012 and 2015. Total organic carbon (TOC) was a surrogate indicator for COD (as COD/TOC) with high reliability ($r^2=0.63$ in 2012, $r^2=0.75$ for 2013, $r^2=0.79$ for 2014 and $r^2=0.85$ for 2015). The ratios of COD/TOC were calculated as 2.08 in 2012, 1.79 in 2013, 1.52 and 1.45 in 2015, indicating that biodegradability in the water body of the Han River was being sustained, thereby further improving water quality. The BOD/COD ratio supported these findings. The cluster analysis revealed higher annual levels of microorganisms and phosphorous at stations along the Hangang-Seoul and Hantangang areas. Nevertheless, the overall water quality over the last four years showed an observable trend toward continuous improvement. These findings also suggest that non-point pollution control strategies should consider the influence of upstreams and downstreams to protect water quality in the Han River. Conclusion: This data analysis procedure provided an efficient and comprehensive tool to interpret complex water quality data matrices. Results from a trend analysis provided much important information about sources and parameters for Han River water quality management.

진해만에 있어서의 COD의 시공간적인 특성 및 결정인자 (The Determining factors and Temporal and Spatial Characteristics of Chemical Oxygen Demand in Jinhae Bay)

  • 김종구;조은일
    • 한국환경과학회지
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    • 제8권2호
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    • pp.189-195
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    • 1999
  • Determining factors and temporal & spatial characteristics of COD(Chemical Oxygen Demand) at the sea surface in Jinhae bay have been examined by using seasonal data, taken at twenty six stations over the whole bay during 1989~1994 by NERDA. The data have been analyzed in terms of long term means, anomalously large values. Jinhae bay is divided into three regions based on the time mean : mouth of Jinhae bay, inner sea of Masan bay, western sea of Jinhae bay called region 1,2 and 3, respectively. The horizontal distribution of the long term mean of COD at each station is similar to those of nitrogen and phosphorus. Characteristics of whole mean variation in the year shows high range of variation in region 2. It was appear to decreases every year in whole trend. Factors determining seasonal variation in whole COD mean are relative to salinity and nutrient, affected by precipitation in summer. Spatial variation shows high range of fluctuation in region 2 compare to other region. Factors determining of spatial variation of COD was appear to nutrient, affected by pollutant load of land area and bottom sediment. The long term mean of COD at each station is closely related with thats of nutrients. The correlation coefficient between COD and nitrogen, phosphate phosphorus was found to be high as 0.75, 0.78, respectively. Anomalously large COD was observed 14 times at 6 stations. These stations are located in inner sea of Masan bay(Region 2) and Songjeong bay(Region 1). The seasonal frequency of the observed anomalous COD is large in April, and other seasons are much the same.

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Phosphorus Removal in Pilot Plant Using Biofilm Filter Process from Farm Wastewater

  • Shin, Sung-Euy;Choi, Du-Bok;Lee, Choon-Boem;Cha, Wol-Suk
    • Biotechnology and Bioprocess Engineering:BBE
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    • 제11권4호
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    • pp.325-331
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    • 2006
  • Various environmental conditions affecting total phosphorus removal from farm wastewater in a biofilm filter process were investigated using loess balls and Chromobacterium LEE-38 at a pilot plant. When Chromobacterium LEE-38 was used, the removal efficiency of total phosphorous was approximately 10- or 5-fold higher than that of Acinetobacter CHA-2-14 or Acinetobacter CHA-4-5, respectively. When a loess ball of $11{\sim}14mm$ manufactured at a $960^{\circ}C$ calcining temperature was used, the removal efficiency of total phosphorous was 90.0%. When 70% of the volume fraction was used, the maximum efficiency of total phosphorus removal was 93.1%. Notably, when the initial pH was in the range of 6.0 to 8.0, the maximum removal efficiency of total phosphorus was obtained after 30 days. When the operating temperature was in the range of 30 to $55^{\circ}C$, the maximum removal efficiencies of total phosphorus, 95.6 to 94.6%, were obtained. On the other hand, at operating temperatures below $20^{\circ}C$ or above $40^{\circ}C$, the removal efficiency of total phosphorous decreased. Among the various processes, biofilm filter process A gave the highest removal efficiency of 96.4%. Pilot tests of total phosphorus removal using farm wastewater from the biofilm filter process A were carried out for 60 days under optimal conditions. When Acinetobacter sp. Lee-11 was used, the average removal efficiency in the p-adsorption area was only 32.5%, and the removal efficiencies of chemical oxygen demand (COD) and biological oxygen demand (BOD) were 56.7 and 62.5%, respectively. On the other hand, when Chromobacterium LEE-38 was used, the average removal efficiency was 95.1%, and the removal efficiencies of COD and BOD were 91.3 and 93.2%, respectively.

부분 탈아세틸화된 키토산의 폐수처리 효과 (Effect of Wastewater Treatment of Partially Deacetylated Chitosan)

  • 조성관;김선정;정병옥;김재진;최규석;이영무
    • 공업화학
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    • 제5권5호
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    • pp.899-903
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    • 1994
  • 게껍질로부터 Hackman법으로 키틴을 추출하였고 키토산은 이것을 일정 온도($100^{\circ}C$)에서 NaOH 용액의 농도와 반응 시간을 변화시켜 각각의 탈아세틸화 정도에 따라 제조하였다. 제조한 시료들은 A=19%, B=52%, C=70% 그리고 D=93%의 탈아세틸화된 것을 사용해 여러 가지 시험을 하였다. 분자량은 탈아세틸화도가 증가함에 따라 감소되는 현상을 나타냈고, 폐수처리 효과에 있어서 SS 제거율은 탈아세틸화도가 증가함에 따라 증가하였고 pH 9에서 우수한 성능을 나타냈으며, COD 제거율은 중성 영역에서 가장 좋게 나타났다.

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Evaluation of Drainage by Near Infrared Spectroscopy

  • Takamura, Hitoshi;Miyamoto, Hiroko;Mori, Yoshikuni;Matoba, Teruyoshi
    • 한국근적외분광분석학회:학술대회논문집
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    • 한국근적외분광분석학회 2001년도 NIR-2001
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    • pp.1271-1271
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    • 2001
  • Water pollutants in drainage mainly consist of organic compounds. Hence, total organic carbon (TOC), chemical oxygen demand (COD), and biochemical oxygen demand (BOD) were generally used as the indices of pollution. However, these values are determined by special analyzer (TOC), titration method (COD), or microbe culture (BOD). Therefore, the development of simple and easy methods for the determination of water pollution is required. The authors reported the evaluation of water pollution by near infrared (NIR) spectroscopy in a model system with food components (Takamura et al. (200) Near Infrared Spectroscopy: Proceedings of 9th International Conference, pp. 503-507). In this study, the relationship between NIR spectra and drainage was investigated in order to develop a method for evaluation of drainage by NIR. Drainage was obtained in Nara Purification Center. The ranges of TOC, COD, and BOD were 0-130, 0-100 and 0-200, respectively. NIR transmittance spectra were recorded on NIR Systems Model 6250 Research Composition Analyzer in the wavelength range of 680-1235 and 1100-2500 nm with a quartz cell (light path: 0.5, 1, 2, 4 and 10mm) at 10-40. Statistical analysis was performed using NSAS program. A partial least squares (PLS) regression analysis was used for calibration. As the result, a good correlation between the raw NIR spectra and OC was obtained in the calibration. The best light path was 10 and 0.5mm in the wavelength range of 680-1235 and 110-2500nm, respectively. In the calibration, correlation coefficients(R) were 096-0.97 in the both range. In the prediction, however, a good correlation (R=0.89-0.96) was obtained only in the range of 6801235 nm, Similar results were obtained in the cases of COD and BOD. These results suggest the possibility that NIR spectroscopy can be used to evaluate drainage.

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