• Title/Summary/Keyword: turbidity coefficient

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The characteristics of the Groundwater Quality in Seoul (서울시 지하수 수질특성에 관한 연구)

  • 김익수;엄석원;이재영
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2003.04a
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    • pp.225-228
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    • 2003
  • For the purpose of finding out the distributions of groundwater uses, the effect of facilities on the parameter and the correlations among measurements, various statistical analysis were carried out with the data of groundwater quality measurements from January to December in 2002. 1. The rates of groundwater for drinking water were 10.5% in Yangcheon-Gu, 10.2% in Kangdong-Gu, and 9.9% in Eunpyung-Gu. The rates of other uses of groundwater were shown to be 58.1%(786 wells) for civil defense emergency, 22.1%(299 wells) for contamination-concerning, 9.8%(133 wells) for water quality monitoring, consisting of 90% of all groundwater. 2. The 52.6% of groundwater for drinking were demonstrated to be appropriate while 91.9% for tither uses-domestic, industrial, agricultural uses- were shown to be proper. 3. For drinking water, the average values of colar, turbidity, NH3-N, F, and Fe were 11.216 degree, 2.138 NTU, 2.458mg/l, 0.212mg/1 and 0.507mg/1 respectively. 4. In cases of drinking water wells for emergency, the results of statistical analysis showed that building year of the wells, depth and pumping rate didn't affect on whether it was proper for that use or not. It were shown that there were linear correlations between depth and NO$_3$-N(-0.171) and F ̄(0.332) while the correlation coefficients were 0.381 and -0.169 between the building year of well and depth and pumping rate respectively.

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An Experimental Study on the Clogging of Sand Filter in a Model Filtration-Pond (천변여과지 모형에서 여재모래의 폐색현상 실험연구)

  • Jeong, Jae-Min;Kim, Seung-Hyun
    • Journal of Korean Society of Environmental Engineers
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    • v.35 no.9
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    • pp.681-685
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    • 2013
  • A pilot-scale sand-box experiment was performed in order to investigate the effect of cross-flow velocity on the clogging of the filter sand in a model filtration pond. The clogging phenomenon was observed during the operation with the cross-flow varied in stages in a range of 0~40 cm/sec, and the experimental result was analyzed using a numerical code. Results showed that the cross-flow velocity in this range had no influence on the development of clogging and that clogging occurred mostly on the filter-surface. It was found that while the production rate decreased from $5m^3/m^2-day$ to $3m^3/m^2-day$ the clogging coefficient of the top 50 cm layer increased up to about 30,000 sec, which corresponded to 87% of the clogging coefficient of the total 2.4 m layer. Of the clogging coefficient of the top 50 cm layer, surface clogging constituted 90% while the other 10% was intermediate clogging. It was also found that the surface clogging increased while the intermediate clogging remained constant as the operation continued, and that filtrate turbidity along the filtration depth remained constant in spite of the increase in clogging.

The Study of Water Characteristics of Drinking Underground Water in the West Gyeong-Nam (서부경남지역 음용 지하수의 수질특성에 관한 고찰)

  • Park, Hyun Geoun;Jung, Youn Ho
    • Journal of Korean Society of Environmental Engineers
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    • v.36 no.3
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    • pp.192-197
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    • 2014
  • Water analyses were conducted on 1,525 underground water laid in the western district of Korea's South Gyeongsang Province, from January 2007 until July 2010, according to sections, factors, fountainheads and inter-factor correlativities. The following are the results. 1. As a result of local incongruity rate, 18.2% in inland areas, coastal areas and 24.5% showed a high value comparatively. Costal areas showed high incongruity rate. 2. As a result of local incongruity rate, they were found that the total colony count and general bactria 39.9%, 42.6% showed a high in costal areas. 3. As a result of local factorial inspection, it was found that the turbidity content counted up to 0 to 0.2 NTU in 59.4% in inland areas, 60.2% in costal areas of sections, and in other 12.6%, 14.0%, it exceeded 0.5 NTU. As a result of local factorial inspection, it was found that the nitrate-nitrogen content counted up to 0 to 10 mg/L in 98.2% in inland areas, 97.6% in costal areas of sections, and in other 1.8%, 2.4%, it exceeded 10 mg/L. As regards chloride in coastal areas, water quality standards for chloride 250 mg/L exceeds the 1.4% higher then in inland areas. 4. Hardness in inland areas was closely correlated with total solids (r = 0.910), sulfate ion (r = 0.819). Also, total solids and boron (r = 0.600) showed high correlativities. On the other hand hardness in coastal areas was closely correlated with total solids (r = 0.919), chloride (r = 0.829). Also sulfate ion was closely correlated with hardness (r = 0.599), turbidity and aluminum (r = 0.635) showed high correlativities in this research.

A Study on the Charateristic of the Groundwater Quality in Seoul (서울지역의 지하수 수질특성에 관한 연구)

  • 김익수;이재영;최상일
    • Journal of Soil and Groundwater Environment
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    • v.9 no.2
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    • pp.54-63
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    • 2004
  • For the purpose of finding out the distributions of groundwater uses, the effect of facilities on the parameter and the correlations among measurements, various statistical analysis were carried out with the data of groundwater quality measurements from January to December in 2002. (1) The rates of groundwater for drinking water were 10.5% in Yungcheon-Gu, 10.2% in Kangdong-Gu, and 9.9% in Eunpyung-Gu. The rates of other uses of groundwater were shown to be 58.1 %(786 wells) for civil defense emergency, 22.1% (299 wells) for contamination-concerning, 9.8%(133 wells) for water quality monitoring, consisting of 90% of all groundwater. (2) The 52.6% of groundwater for drinking were demonstrated to be appropriate while 91.9% for other uses-domestic, industrial, agricultural uses- were shown to be proper. (3) For drinking water, the maximum values of colar, turbidity, NH3-N, F, and Fe were 766.9 degree, 69.16NTU, 860.0 mg/l, 5.6 mg/l and 49.87 mg/l respectively. (4) Comparision of skewness and kurtosis for Seoul groundwater, pH was found to be 0.022 and -0.524, but the T.colony, color, turbidity, NH$_3$-N, NO$_3$-N, Fe and Mn respectively fumed out to be 11.641 and 174.324, 8.501 and 80.260, 5.675 and 32.821, 19.507 and 380.994, 3.323 and 17.436, 10.544 and 134.093 and 5.979 and 39.124. (5) In cases of drinking water wells for emergency, the results of statistical analysis showed that building year of the wells, depth and pumping rate didn't affect on whether it was proper for that use or not. It were shown that there were linear correlations between depth and NO3-N(-0.171) and F(0.332) while the correlation coefficients were 0.381 and -0.169 between the building year of well and depth and pumping rate respectively.

Effects of Environmental Factors on Algal Communities in the Nakdong River (낙동강의 환경요인이 조류군집 구성에 미치는 영향)

  • Yu, Jae Jeong;Lee, Hae Jin;Lee, Kyung-Lak;Lee, In Jeong;Jung, Gang Young;Cheon, Se Uk
    • Journal of Korean Society on Water Environment
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    • v.30 no.5
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    • pp.539-548
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    • 2014
  • This study was carried out to investigate algal community structures and their correlations with environmental factors on five weir areas in the Nakdong River, South Korea. Water qualities, hydrodynamics, meteorological conditions and algal species compositions were observed in studied sites from May 2010 to Dec. 2013. Results showed that average total phosphorus concentration of 2013 was decreased by 52.4% in comparing with that from 2010 to 2011. Chlorophyll.a concentrations were positive significant with water temperature, pH, total phosphorus and total nitrogen, but is not significant with turbidity and suspended solids. Seasonal successions of algae were observed that Stephanodiscus sp. was dominant species with 65.3% of dominant frequency in studied site. Large algal biomass of the low temperature-adapted diatoms were observed during temperature range of $4{\sim}9^{\circ}C$, but large cyanobacterial biomass mainly during high temperature period ranged from $22^{\circ}C$ to $32^{\circ}C$. Microcystis sp. dominated during high water temperature in summer. The yearly correlations of algal biomass with accumulated solar radiations were not significant but seasonal correlations of summer from June to August were significant with correlation coefficient 0.33 (p<0.05). There were not significant correlations between turbidities and algal biomass. Turbidity and suspended solids concentrations were not significant correlation with algal biomass. According to the results, algal communities had strong correlation with water temperature and had partially correlation with solar radiation. For an effective management of algal blooms, water managers should survey with more long-term monitoring of various environmental factors and algal communities.

Measurement of Urine Enzymes for the Early Diagnosis of Nephrosis in Ruminants 1. Optimal Conditions for Measurement of Enzyme Activities and Normal Ranges (반추동물 신증의 조기진단을 위한 뇨효소 측정법 1. 효소활성도 측정을 위한 적합한 조건과 정상범위에 관하여)

  • Lee Chang-Woo;Lee Kyoung-Kap
    • Journal of Veterinary Clinics
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    • v.6 no.2
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    • pp.291-305
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    • 1989
  • Present experiment was performed to establish the optimal reaction conditions for measurement of urinary gamma-glutamyltranspeptidase(${\gamma}$-GTP), N-acetyl-${\beta}$-D-glucosaminidase (AGS) and alanine aminopeptidase(AAP) activities in bovine and to investigate in vitro stability of the enzymes, within-run imprecision of the methods, and normal ranges. 1. The optimal wavelength for measurement of ${\gamma}$-GTP activity was 545nm. 2. The optimal pH of Tris-HCI buffer containing glycylglycine for measurement of urinary ${\gamma}$-GTP activity was 7.6~7.8(37$^{\circ}C$). 3. Coefficient of variance for within-run imprecision of urinary ${\gamma}$-GTP activity ranged from 4.8 to 7.2% and there was no significant difference among replications, 4. The optimal wavelength for measurement of urinary AGS activity was 405nm. 5. The optimal pH of citrate buffer for measurement urinary of AGS activity was 4.0(37$^{\circ}C$). 6. Coefficient of variance for within-run imprecision of urinary AGS activity ranged from 3.9 to 6.1% and there was no significant difference among replications. 7. The optimal wavelength for measurement of urinary AAP activity was 400nm. 8. The optimal pH of phosphate buffer for measurement of urinary AAP was 7.8. 9. Coefficient of variance for within-run imprecision of urinary AAP activity ranged from 2.5 to 4.8% and there was no significant difference among replications. 10. ${\gamma}$-GTP and AGS activities were increased significantly by gel-filtration. 11. Turbidity interfered with measurement of urinary AAP activity in bovine unless the specimen was gel-filterated. 12. Preservation of the specimen at 5$^{\circ}C$ or -20$^{\circ}C$ did not affect the AGS activity at least for 7 days after collection. 13. Preservation of the specimen at 5$^{\circ}C$ or 20$^{\circ}C$ did not affect the ${\gamma}$-GTP and AAP activities statistically, but some individual specimens revealed fluctuation during preservation. 14. ${\gamma}$-GTP, AGS and AAP activities revealed fluctuation by the tine of the day when the specimen was collected. 15. The normal ranges of urinary ${\gamma}$ -GTP, AGS and AAP activities were 6.60${\pm}$3.26(2.36-14.50), 1.31 ${\pm}$ 0.81(0.33-3.78), and 1.73 ${\pm}$ 0.55(0.77-3.03)U/l. respectively.

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A Study on the Statistical Predictability of Drinking Water Qualities for Contamination Warning System (수질오염 감시체계 구축을 위한 수질 데이터의 통계적 예측 가능성 검토)

  • Park, No-Suk;Lee, Young-Joo;Chae, Seonha;Yoon, Sukmin
    • Journal of Korean Society of Water and Wastewater
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    • v.29 no.4
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    • pp.469-479
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    • 2015
  • This study have been conducted to analyze the feasibility of establishing Contamination Warning System(CWS) that is capable of monitoring early natural or intentional water quality accidents, and providing active and quick responses for domestic C_water supply system. In order to evaluate the water quality data set, pH, turbidity and free residual chlorine concentration data were collected and each statistical value(mean, variation, range) was calculated, then the seasonal variability of those were analyzed using the independent t-test. From the results of analyzing the distribution of outliers in the measurement data using a high-pass filter, it could be confirmed that a lot of lower outliers appeared due to data missing. In addition, linear filter model based on autoregressive model(AR(1) and AR(2)) was applied for the state estimation of each water quality data set. From the results of analyzing the variability of the autocorrelation coefficient structure according to the change of window size(6hours~48hours), at least the window size longer than 12hours should be necessary for estimating the state of water quality data satisfactorily.

Shape Based Framework for Recognition and Tracking of Texture-free Objects for Submerged Robots in Structured Underwater Environment (수중로봇을 위한 형태를 기반으로 하는 인공표식의 인식 및 추종 알고리즘)

  • Han, Kyung-Min;Choi, Hyun-Taek
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.48 no.6
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    • pp.91-98
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    • 2011
  • This paper proposes an efficient and accurate vision based recognition and tracking framework for texture free objects. We approached this problem with a two phased algorithm: detection phase and tracking phase. In the detection phase, the algorithm extracts shape context descriptors that used for classifying objects into predetermined interesting targets. Later on, the matching result is further refined by a minimization technique. In the tracking phase, we resorted to meanshift tracking algorithm based on Bhattacharyya coefficient measurement. In summary, the contributions of our methods for the underwater robot vision are four folds: 1) Our method can deal with camera motion and scale changes of objects in underwater environment; 2) It is inexpensive vision based recognition algorithm; 3) The advantage of shape based method compared to a distinct feature point based method (SIFT) in the underwater environment with possible turbidity variation; 4) We made a quantitative comparison of our method with a few other well-known methods. The result is quite promising for the map based underwater SLAM task which is the goal of our research.

Monitoring of Lake Water Quality Using LANDSAT TM Imagery Data (LANDSAT TM 영상자료를 이용한 호수 수질 관측)

  • Kim, Tae-Geun;Kim, Kwang-Eun;Cho, Gi-Sung;Kim, Hwan-Gi
    • Journal of Korean Society for Geospatial Information Science
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    • v.4 no.2 s.8
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    • pp.23-33
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    • 1996
  • The conventional monitoring of water quality constrained by time and equipment produce neither complete nor synoptic geographic coverage of pollutant distribution, transport, and water quality. To circumvent these limitations in temporal and spatial measurements, the use of remote sensing is increasingly being involved in the lacustrine environmental research. Consequently, satellite remote sensing, with its synoptic coverage, is used to obtain the eutrophication-related water quality parameters in Daecheong reservoir in this study. The approach involved acquisition of water quality samples from boats of 15 sites on 20 June 1995 and 30 sites on 18 March 1996, simultaneous with Landsat-5 satellite overpass. Regression models have been developed between the water quality parameters and Landsat Thematic Mapper(TM) digital data. The best regression model was determined based on the correlation coefficient which was higher than 0.6. As a result, satellite remote sensing can provide meaningful information on water quality parameters. The regression models developed in this study show good relationship for transparency, turbidity, SS, and chlorophyll, but not for TN and TP because their spectral characteristics are not well defined.

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Modelling of dissolved oxygen (DO) in a reservoir using artificial neural networks: Amir Kabir Reservoir, Iran

  • Asadollahfardi, Gholamreza;Aria, Shiva Homayoun;Abaei, Mehrdad
    • Advances in environmental research
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    • v.5 no.3
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    • pp.153-167
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    • 2016
  • We applied multilayer perceptron (MLP) and radial basis function (RBF) neural network in upstream and downstream water quality stations of the Karaj Reservoir in Iran. For both neural networks, inputs were pH, turbidity, temperature, chlorophyll-a, biochemical oxygen demand (BOD) and nitrate, and the output was dissolved oxygen (DO). We used an MLP neural network with two hidden layers, for upstream station 15 and 33 neurons in the first and second layers respectively, and for the downstream station, 16 and 21 neurons in the first and second hidden layer were used which had minimum amount of errors. For learning process 6-fold cross validation were applied to avoid over fitting. The best results acquired from RBF model, in which the mean bias error (MBE) and root mean squared error (RMSE) were 0.063 and 0.10 for the upstream station. The MBE and RSME were 0.0126 and 0.099 for the downstream station. The coefficient of determination ($R^2$) between the observed data and the predicted data for upstream and downstream stations in the MLP was 0.801 and 0.904, respectively, and in the RBF network were 0.962 and 0.97, respectively. The MLP neural network had acceptable results; however, the results of RBF network were more accurate. A sensitivity analysis for the MLP neural network indicated that temperature was the first parameter, pH the second and nitrate was the last factor affecting the prediction of DO concentrations. The results proved the workability and accuracy of the RBF model in the prediction of the DO.