• 제목/요약/키워드: COD(chemical oxygen demand)

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하천·호소의 유기물 지표 평가 (Index of Organic Matter in Stream and Lake)

  • 유순주;황종연;윤영삼;천세억;한의정
    • 환경영향평가
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    • 제8권1호
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    • pp.81-92
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    • 1999
  • This study discussed the appropriateness of organic matter indexes such as biochemical oxygen demand(BOD) and chemical oxygen demand with potassium permanganate($COD_{Mn}$) in water quality environmental standard of streams and lakes and the applicability of the items to water quality environmental standard to add or substitute COD with potassium dichromate ($COD_{Cr}$) and total organic carbon(TOC) being used as index of organic matter. And indexes of organic matter content and organic carbon concentration were distinguished between dissolved and particulate component in water sample to estimate their effect on pollutants loading in lake and stream. The ratio of $COD_{Cr}$/BOD was 5.1 under BOD concentration 3mg/L in river water quality environmental standard II, and 2.67 above it. This ratio was diminished to 2.04 when BOD concentration was more than 8mg/L, in river quality environmental standard IV. Also the ratio of $COD_{Mn}$/BOD showed 2.16 under 3mg/L(BOD), and 1.1 above it. This ratio is also diminished to 0.84 over 8mg/L(BOD). Accordingly, we should apply this ratio depending on the concentration level to add and change organic matter index of water quality environmental standard newly. The ratio $COD_{Cr}/COD_{Mn}$ both in lake and stream shows 2.37(r=0.986, p<0.001). But the ratios showed range of 2.34~2.50, which is no much difference of this ratio according to $COD_{Mn}$ concentration.

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화학적산소요구량을 이용한 하구해역의 해수중 유기물 기원 고찰 (A Study on the Origin of Organic Matter in Seawater in Korean Estuaries Using Chemical Oxygen Demand)

  • 김영숙;구준호;권정노;이원찬
    • 해양환경안전학회지
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    • 제24권6호
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    • pp.735-749
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    • 2018
  • 본 연구에서는 우리나라의 주요하천인 한강, 금강, 영산강, 섬진강 그리고 낙동강의 하구에서 해수중 화학적산소요구량(COD)의 농도를 결정하는 주요 요인과 수질인자에 대해 고찰하였다. 주성분분석으로 얻어진 해수중 COD 농도를 결정하는 주요요인은 염분과 클로로필-a를 중심으로 한 외래성 기원과 자생공급으로 나타났으며, 그 외 해저 퇴적층의 유기물도 영향을 미치는 것으로 나타났다. 하구해역의 COD 농도를 결정하는 수질인자들의 기여도는 회귀식 기울기를 통해 평가하였다. 조사시기별로는 전체적으로 염분의 영향을 많이 받는 것으로 나타났으며, 4월과 8월에는 클로로필-a의 영향도 함께 받는 것으로 나타났다. 하구별로는 낙동강에서는 클로로필-a, 한강과 영산강에서는 염분, 금강에서는 염분과 함께 클로로필-a의 기여도가 각각 큰 것으로 나타났으며, 섬진강에서는 염분과 클로로필-a 모두 낮은 기여를 나타내었다.

Analysis of Efficiency of Bacillus subtilis To Treat Bagasse Based Paper and Pulp Industry Wastewater-A Novel Approach

  • Karichappan, Thirugnanasambandham;Venkatachalam, Sivakumar;Jeganathan, Prakash Maran
    • 대한화학회지
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    • 제58권2호
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    • pp.198-204
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    • 2014
  • In this present study, bagasse based pulp and paper industry wastewater was treated under different operating conditions such as initial pH (6-8), temperature ($25-35^{\circ}C$) and contact time (3-7 days) by using Bacillus subtilis. Response surface methodology (RSM) coupled with Box-Behnken response surface design (BBD) was employed to investigate the effect of process variables on the responses such as turbidity, biological oxygen demand (BOD) and chemical oxygen demand (COD) removal. The experimental data were analyzed by Pareto analysis of variance (ANOVA) and the second order polynomial models were developed. Interactive effects of the process variables on the responses were studied using plotting 3D response surface contour graph and the optimum process conditions were found to be: initial pH of 7, temperature of $30^{\circ}C$ and contact time of 5 days. Under these conditions, removal efficiencies of turbidity, BOD and COD were found to be 85%, 93% and 80% respectively which are close agreement with real experiments. These results indicate that the treatment of bagasse based pulp and paper industry wastewater using Bacillus subtilis is an effective and novel technique.

Prediction of pollution loads in agricultural reservoirs using LSTM algorithm: case study of reservoirs in Nonsan City

  • Heesung Lim;Hyunuk An;Gyeongsuk Choi;Jaenam Lee;Jongwon Do
    • 농업과학연구
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    • 제49권2호
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    • pp.193-202
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    • 2022
  • The recurrent neural network (RNN) algorithm has been widely used in water-related research areas, such as water level predictions and water quality predictions, due to its excellent time series learning capabilities. However, studies on water quality predictions using RNN algorithms are limited because of the scarcity of water quality data. Therefore, most previous studies related to water quality predictions were based on monthly predictions. In this study, the quality of the water in a reservoir in Nonsan, Chungcheongnam-do Republic of Korea was predicted using the RNN-LSTM algorithm. The study was conducted after constructing data that could then be, linearly interpolated as daily data. In this study, we attempt to predict the water quality on the 7th, 15th, 30th, 45th and 60th days instead of making daily predictions of water quality factors. For daily predictions, linear interpolated daily water quality data and daily weather data (rainfall, average temperature, and average wind speed) were used. The results of predicting water quality concentrations (chemical oxygen demand [COD], dissolved oxygen [DO], suspended solid [SS], total nitrogen [T-N], total phosphorus [TP]) through the LSTM algorithm indicated that the predictive value was high on the 7th and 15th days. In the 30th day predictions, the COD and DO items showed R2 that exceeded 0.6 at all points, whereas the SS, T-N, and T-P items showed differences depending on the factor being assessed. In the 45th day predictions, it was found that the accuracy of all water quality predictions except for the DO item was sharply lowered.

Carbon bead-supported copper-dispersed carbon nanofibers: An efficient catalyst for wet air oxidation of industrial wastewater in a recycle flow reactor

  • Yadav, Ashish;Verma, Nishith
    • Journal of Industrial and Engineering Chemistry
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    • 제67권
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    • pp.448-460
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    • 2018
  • Copper nanoparticle-doped and graphitic carbon nanofibers-covered porous carbon beads were used as an efficient catalyst for treating synthetic phenolic water by catalytic wet air oxidation (CWAO) in a packed bed reactor over 10-30 bar and $180-230^{\circ}C$, with air and water flowing co-currently. A mathematical model based on reaction kinetics assuming degradation in both heterogeneous and homogeneous phases was developed to predict reduction in chemical oxygen demand (COD) under a continuous operation with recycle. The catalyst and process also showed complete COD reduction (>99%) without leaching of Cu against a high COD (~120,000 mg/L) containing industrial wastewater.

마산만 표층수에서 물리-화학적 수질요인과 엽록소-$a$ 농도 사이의 관계: 격일 관측 자료 (Relationship between Physico-Chemical Factors and Chlorophyll-$a$ Concentration in Surface Water of Masan Bay: Bi-Daily Monitoring Data)

  • 정승원;임동일;신현호;정도현;노연호
    • 환경생물
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    • 제29권2호
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    • pp.98-106
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    • 2011
  • 마산만의 수질변화와 chlorophyll-$a$의 관계를 밝히고자 이 해역을 대표할 수 있는 4개 정점에서 2010년 2월부터 2010년 11월까지 강우와 기온을 포함한 기후학적 요인, 물리 화학적 요인, 그리고 chlorophyll-$a$의 변화를 집중 조사하였다. 그 결과, 수온, 염분, SS, 규산염은 정점별 차이를 보이지 않았으며, COD 및 DIN은 마산만 내만으로 갈수록 증가하였다. 시계열적으로는 여름철 집중 강우 시 마산만 지류 하천 및 낙동강을 통해 담수가 유입되면서 염분의 급강하 및 SS량과 COD의 증가가 나타났다. 영양염류 중 DIN은 여름철 집중강우 시 일시적으로 증가하는 양상을 제외하고는 낮은 농도를 보였고 DIP와 규산염 또한 DIN과 유사한 양상을 보였다. 마산만에서 식물플랑크톤 성장에 영향을 주는 영양염류는 봄철 중반까지 규소와 인이 성장제한인자로 작용하고, 늦봄부터 가을까지는 질소원이 주 성장제한요인으로 작용할 것으로 판단된다. 다중회귀분석을 실시한 결과, 늦겨울부터 봄철까지 chlorophyll-$a$ 농도는 수온, 염분, COD, DIP의 변화에 의해 영향을 받고 있었다. 여름철에는 봄철과 달리, 염분 및 COD, 강수량이 영향을 주고 있어, 여름철 집중강우에 따른 영향인자들에 의해 chlorophyll-$a$가 빠르게 변화됨을 알 수 있었다. 따라서 마산만 해역의 chlorophyll-$a$의 변화는 영양염류와 같은 화학적 인자의 영향과 함께, 수온 및 강수와 같은 물리적 인자에 의해 크게 영향을 받고 있다.

Future water quality analysis of the Anseongcheon River basin, Korea under climate change

  • Kim, Deokwhan;Kim, Jungwook;Joo, Hongjun;Han, Daegun;Kim, Hung Soo
    • Membrane and Water Treatment
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    • 제10권1호
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    • pp.1-11
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    • 2019
  • The Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5) predicted that recent extreme hydrological events would affect water quality and aggravate various forms of water pollution. To analyze changes in water quality due to future climate change, input data (precipitation, average temperature, relative humidity, average wind speed and sunlight) were established using the Representative Concentration Pathways (RCP) 8.5 climate change scenario suggested by the AR5 and calculated the future runoff for each target period (Reference:1989-2015; I: 2016-2040; II: 2041-2070; and III: 2071-2099) using the semi-distributed land use-based runoff processes (SLURP) model. Meteorological factors that affect water quality (precipitation, temperature and runoff) were inputted into the multiple linear regression analysis (MLRA) and artificial neural network (ANN) models to analyze water quality data, dissolved oxygen (DO), biological oxygen demand (BOD), chemical oxygen demand (COD), suspended solids (SS), total nitrogen (T-N) and total phosphorus (T-P). Future water quality prediction of the Anseongcheon River basin shows that DO at Gongdo station in the river will drop by 35% in autumn by the end of the $21^{st}$ century and that BOD, COD and SS will increase by 36%, 20% and 42%, respectively. Analysis revealed that the oxygen demand at Dongyeongyo station will decrease by 17% in summer and BOD, COD and SS will increase by 30%, 12% and 17%, respectively. This study suggests that there is a need to continuously monitor the water quality of the Anseongcheon River basin for long-term management. A more reliable prediction of future water quality will be achieved if various social scenarios and climate data are taken into consideration.

Chemical and Biological Analyses of Bay Sediment Where Magnesium Oxide Compounds Are Applied

  • Cho, Daechul;Jiang, Sunny;Kwon, Sung-Hyun
    • Environmental Engineering Research
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    • 제19권1호
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    • pp.101-105
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    • 2014
  • Three magnesium compounds, $MgO_2$, MgO, and $Mg(OH)_2$, which are supposed to supply oxygen continuously, were applied onto contaminated bay sediment and its ecology in order to activate the local microbial flora. Those compounds were found to reduce chemical oxygen demand (COD), total nitrogen (T-N), and total phosphorus (T-P). Magnesium oxide, in particular, reduced COD by 30% and T-N and T-P considerably. All compounds also suppressed the release of pollutants in the order $MgO_2$, MgO, and $Mg(OH)_2$. Analysis of microbial flora showed that the microbial group treated by $MgO_2$ and $Mg(OH)_2$ was predictably stable; meanwhile, that treated by MgO increased the number of species, but decreased the total number of microorganisms.

소양호에서 유기탄소와 $COD_{Mn}$과의 상관관계 (Relationships Between Organic Carbon and $COD_{Mn}$ in a Deep Reservoir, Lake Soyang, Korea)

  • 최광순;김범철;김형봉;사승환
    • 생태와환경
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    • 제33권4호통권92호
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    • pp.328-335
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    • 2000
  • 현재 우리나라에서 수중의 유기물양의 지표로 사용되고 있는 $COD_{Mn}$법이 지표로서 적합한지를 알아보기 위하여 소양호의 댐앞지점과 유입수를 대상으로 유기물양과 $COD_{Mn}$과의 상관관계를 알아보았다. 또한 소양호를 표충, 중층, 심층으로 나누어 $COD_{Mn}$ 법에 의한 각 충의 유기물산화정도를 비교하였다. 소양호의 유기물농도와 $COD_{Mn}$ 비는 계절에 따라 매우 상이하였고, 수층에 따라서도 차이를 보였다. 유입수에서도 홍수기를 전후로 하여 유기물농도와 $COD_{Mn}$ 비가 유의적인 차이를 보였다. $COD_{Mn}$ 법에 의한 소양호의 유기물의 산화는 평균 40% 정도로 낮은 값을 보였다. 특히 심층의 유기물은 $COD_{Mn}$ 법에 의해 산화되는 양이 30%이하로 매우 낮았다. 이러한 결과는 $COD_{Mn}$ 법이 호수와 하천의 유기물양을 제대로 대변하고 있지 못할 뿐 아니라 계절에 따라 유기물의 조성이 변할 때 $COD_{Mn}$ 법에 의한 유기물산화력이 변한다는 단점을 보여준다.

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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.