• Title/Summary/Keyword: Water level detection

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Comparison of the Ion-exchange Method and Evaporation Method for the Detection of Radioactivity in Water (수중 방사능 측정시 이온교환농축법과 증발건조법의 비교)

  • Ji, Pyung-Gook;Park, Chong-Mook;Ro, Seung-Gy
    • Journal of Radiation Protection and Research
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    • v.13 no.2
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    • pp.52-56
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    • 1988
  • An ion-exchange method for the detection of radioactivity in water using ion-exchange resin in concentrating radioactive nuclides was compared with an evaporation method. The loss of the radioactive materials in the sample treated by the ion-exchange method was less by about 20% than that by the evaporation method. In addition, the evaporation method needed about 20 hours for evaporating one liter of the sample at $70^{\circ}C$, while the ion-exchange method spent 6 hours to adsorb and adsorb the same amount of the sample on the resin. Consequently, the ion-exchange method is more effective than the evaporation method for the treatment of the radioactively contaminated water and is especially suitable for detecting the low-level radioactivity in water.

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Occurrence of X-ray Contrast Media (Iopromide) in the Nakdong River Basin (낙동강 수계에서의 X-선 조영제(Iopromide)의 분포 특성)

  • Yoom, Hoon-Sik;Son, Hee-Jong;Ryu, Dong-Choon;Jang, Seung-Ho
    • Journal of Environmental Science International
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    • v.21 no.9
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    • pp.1131-1138
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    • 2012
  • The aims of this study were to investigate and confirm the occurrence and distribution patterns of iodinated X-ray contrast media (iopromide) in Nakdong river basin (mainstream and its tributaries). Iopromide was detected in 16 sampling sites. The concentration levels of iopromide on February 2011 and on October 2011 in surface water samples ranged from not detected (ND) to 1481.1 ng/L and ND to 1168.2 ng/L, respectively. The highest concentration level of iopromide in the mainstream and tributaries in Nakdong river were Goryeong and Jincheon-cheon, respectively. The sewage treatment plants (STPs) along the river affect the iopromide levels in river and the iopromide levels decreased with downstream because of dilution effects.

Remote Water Level Monitoring System Based on Reflected Optical Power Detection with an Optical Coupler for Spent Fuel Pool at Nuclear Power Plant (전력상실시 광분배기 기반의 반사광 측정을 통한 사용후핵연료 저장조의 원격 수위 감시방법)

  • Kim, Sung-Man;Lee, Hoon-Keun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.3
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    • pp.505-512
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    • 2019
  • We propose a new method to monitor the water level of spent fuel pool in a nuclear power plant without electric power. We also analyze the performance and limitation of the proposed method. Our method is based on the reflected optical power at the end of optical fiber through a $1{\times}N$ optical coupler. We reveal that there is no problem to monitor the water level when using a $1{\times}8$ optical coupler. However, when a $1{\times}16$ optical coupler is used, only 15 out of 16 output ports can be used due to Rayleigh back-scattering. When a $1{\times}32$ optical coupler is used, only 25 out of 32 output ports can be used to monitor the water level.

Distributional Characteristics of Cryptosporidium and Giardia in Raw Water of Large Water Treatment Facility in Korea (국내 5만톤/일 이상 대규모 정수장 원수에서 크립토스포리디움 및 지아디아 분포특성)

  • Park, Sangjung;Kim, Jongmin;Kim, Taeseung;Chung, Dongil;Lee, Mokyoung;Nam, Sehee;Yoon, Jongho;Jung, Jongmoon;Cho, Eunjoo;Jeon, Hyensook;Jang, Eunsook;Chung, Mieun
    • Journal of Korean Society on Water Environment
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    • v.26 no.2
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    • pp.261-267
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    • 2010
  • In order to evaluate the distribution level of Cryptosporidium and Giardia in drinking water resources, distribution of Cryptosporidium and Giardia was studied in intake water of main water treatment facility with treatment capacity over 50,000 ton/day in Korea. 10 L samples from each study sites were collected quarterly for 2 years between Oct. '04 and Dec. '07. Cryptosporidium and Giardia were filtered and concentrated by capsule filter and centrifugation, and analyzed by immunomagnetic separation process and fluorescent assay. Cryptosporidium oocysts and Giardia cysts were detected in 7.0% and 9.3%, respectively, of a total 776 samples from 97 study sites. And mean detection number of Cryptosporidium oocysts and Giardia cysts in total 776 samples was 0.11/10 L, 0.16/10 L, detection range of Cryptosporidium oocysts and Giardia cysts was 0~7/10 L, 0~4/10 L, respectively. In seasonal distribution, Cryptosporidium was more frequent in spring as 9.2% than other season, Giardia was more frequent in winter as 14.6% than other season, but there was not shown significant seasonal characteristics. In correlation analysis with total 776 data, Cryptosporidium had significant correlation to total coliforms at the 0.05 level, but correlation value was too low as 0.07 (r=0.07). In case of Giardia, what had significant correlation at the 0.05 level was total coliforms and fecal coliforms, but correlation value was too low as 0.26, 0.27 respectively.

Automatic Coastline Extraction and Change Detection Monitoring using LANDSAT Imagery (LANDSAT 영상을 이용한 해안선 자동 추출과 변화탐지 모니터링)

  • Kim, Mi Kyeong;Sohn, Hong Gyoo;Kim, Sang Pil;Jang, Hyo Seon
    • Journal of Korean Society for Geospatial Information Science
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    • v.21 no.4
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    • pp.45-53
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    • 2013
  • Global warming causes sea levels to rise and global changes apparently taking place including coastline changes. Coastline change due to sea level rise is also one of the most significant phenomena affected by global climate change. Accordingly, Coastline change detection can be utilized as an indicator of representing global climate change. Generally, Coastline change has happened mainly because of not only sea level rise but also artificial factor that is reclaimed land development by mud flat reclamation. However, Arctic coastal areas have been experienced serious change mostly due to sea level rise rather than other factors. The purposes of this study are automatic extraction of coastline and identifying change. In this study, in order to extract coastline automatically, contrast of the water and the land was maximized utilizing modified NDWI(Normalized Difference Water Index) and it made automatic extraction of coastline possibile. The imagery converted into modified NDWI were applied image processing techniques in order that appropriate threshold value can be found automatically to separate the water and land. Then the coastline was extracted through edge detection algorithm and changes were detected using extracted coastlines. Without the help of other data, automatic extraction of coastlines using LANDSAT was possible and similarity was found by comparing NLCD data as a reference data. Also, the results of the study area that is permafrost always frozen below $0^{\circ}C$ showed quantitative changes of the coastline and verified that the change was accelerated.

Evaluation on Four Volatile Organic Compounds (VOCs) Contents in the Groundwater and Their Human Risk Level

  • Song, Dahee;Park, Sunhwa;Jeon, Sang-Ho;Hwang, Jong Yeon;Kim, Moonsu;Jo, Hun-Je;Kim, Deok-Hyun;Lee, Gyeong-Mi;Kim, Ki-In;Kim, Hye-Jin;Kim, Tae-Seung;Chung, Hyen Mi;Kim, Hyun-Koo
    • Korean Journal of Soil Science and Fertilizer
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    • v.50 no.4
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    • pp.235-250
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    • 2017
  • In this study, we monitored 4 volatile organic compounds (VOCs) such as chloroform, dichloromethane, 1,2-dichloroethane, and tetrachloromethane in groundwater samples to determine the detection frequency and their concentrations and evaluated the health risk level considering ingestion, inhalation, and skin contact. 75 groundwater wells were selected. 24 wells were from monitoring background groundwater quality level and 51 wells were from monitoring groundwater quality level in industrial or contamination source area. In the results, the detection frequency for chloroform, dichloromethane, 1,2-dichloroethane, and tetrachloromethane was 42.3%, 8.1%, 6.0%, and 3.4%, respectively. The average concentrations of VOCs were high in the order of chloroform ($1.7{\mu}g\;L^{-1}$), dichloromethane ($0.08{\mu}g\;L^{-1}$), tetrachloromethane ($0.05{\mu}g\;L^{-1}$), and 1,2-dichloroethane ($0.05{\mu}g\;L^{-1}$). Chloroform had the highest detection frequency and average detection concentration. In the contaminated groundwater, the detection frequency of VOCs was high in the order of chloroform, dichloromethane, 1,2-dchloroethane, and tetrachloromethane. The average concentrations for chloroform, dichloromethane, 1,2-dichloroethane, and tetrachloromethane were $2.23{\mu}g\;L^{-1}$, $0.08{\mu}g\;L^{-1}$, $0.07{\mu}g\;L^{-1}$, and $0.06{\mu}g\;L^{-1}$, respectively. All the 4 compounds were detected at industrial complex and storage tank area. The maximum concentration of chloroform, dichloromethane, and 1,2-dichloroethane was detected at industrial complex area. Especially, the maximum concentration of chloroform and dichloromethane was detected at a chemical factory area. In the uncontaminated groundwater, the detection frequency of VOCs was high in the order of chloroform, dichloromethane, and 1,2-dchloroethane and tetrachloromethane was not detected. The average concentrations for chloroform, dichloromethane, and 1,2-dichloroethane were $0.57{\mu}g\;L^{-1}$, $0.07{\mu}g\;L^{-1}$, and $0.03{\mu}g\;L^{-1}$, respectively. Although chloroform in the uncontaminated groundwater was detected the most, the concentration of chloroform was not exceeding water quality standards. By land use, the maximum detection frequency of 1,2-dichloroethane was found near a traffic area. For human risk assessment, the cancer risk for the 4 VOCs was $10^{-6}{\sim}10^{-9}$, while the non-cancer risk (HQ value) for the 4 VOCs is $10^{-2}{\sim}10^{-3}$.

A Water Surface Detection Method by Correlation Analysis of Watermark Images with Time Interval (시차가 있는 수위표 이미지의 상관분석을 통한 수면측정기법)

  • Seo, Myoung-Bae;Lee, Chan-Joo;Kim, Dong-Gu
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.1
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    • pp.470-477
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    • 2013
  • The aim of this study is to suggest a detection method of water surface location and its evaluation results of application for same vertical position in two successive images with time interval including both staff gauge and water surface. A specific rectangular inspection area is defined from the top of watermark and then the correlation coefficients for the inspection area of the same position of two images with short time interval is calculated. Accordingly, it is possible to identify differences between changing area and fixed area of pixel density by the water flow. The photographs taken in the laboratory were analyzed in order to validate the proposed technique. As the result of the experiment, it is identified that characteristic of correlation coefficients depends on the size of the inspection area. In the case that the inspection area is within the entire width of the watermark, water surface characteristic according to correlation coefficients is clearly noticeable. Thus, it is identified that the proposed technique can be utilized to search water surfaces. Besides, using corelation analysis of two images with time interval, it is identified that error range between 10 and 42cm was reduced in the level of 2.6cm or less in the contaminated photo of existing image stage gauge. Therefore, it is expected that the suggested method can be utilized to enhance image stage gauge performance improving the previous water surface detection method.

Direct Colorimetric Assay of Microcystin Using Protein Phosphatase

  • Oh, Hee-Mock;Lee, Seog-June;Kim, Jee-Hwan;Park, Chan-Sun;Yoon, Byung-Dae
    • Biotechnology and Bioprocess Engineering:BBE
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    • v.5 no.6
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    • pp.418-421
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    • 2000
  • A new direct colorimetric assay of microcystin in water and algal samples is proposed consisting of two procedures as follows: 1) the elimination of phosphorus in the sample and concentration of microcystin using a C(sub)18 cartridge, 2) the detection of the released phosphorus by the ascorbic acid method and determination of protein phosphatase (PP) inhibition by microcystin. The optimum amounts of phosphorylase ${\alpha}$ and PP-1 in 50 ${\mu}$L concentrated sample were 50$\mu\textrm{g}$/50${\mu}$L buffer and 1.0unit/50${\mu}$L buffer, respectively, for the best assay. The pH for the maximum activity of PP-1 was 8. The minimum detectable concentration for this method was about 0.02$\mu\textrm{g}$/L, which is sufficient to meet the proposed guideline level of 1$\mu\textrm{g}$ microcystin/L in drinking water. Consequently, it would seem that the proposed direct colorimetric assay using PP is a rapid, easy, and convenient method for the detection of microcystin in water and algal samples.

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Effects of Raw Materials and Various Molds on the Production of Koji

  • Yi, Sang-Duk;Yang, Jae-Seung;Lee, Gyu-Hee;Park, Seong-Hyun;Oh, Man-Jin
    • Preventive Nutrition and Food Science
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    • v.6 no.2
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    • pp.101-106
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    • 2001
  • Alpha-amylase and glucoamylase activities were higher in koji with 40% water than that with 30 and 50% water, and A. oryzae exhibited very high alpha-amylase and glucoamylase activities compared to A. sojae and A. niger. Acidic, neutral and alkaline protease activities also showed higher activities in koji prepared with flour, Korean wheat powder and soybean powder with 40% water based on the weight of the sample. Alpha-amylase, acidic, neutral and alkaline protease activities of all the koji samples according to incubation periods increased until 3~4 days of incubation and maintained nearly the same level or slightly decreased after 5 days of incubation. The protease activities of A. oryzae and A. sojae showed nearly the same trend regardless of differences in substrate conditions and koji materials, but those of A. niger showed a lower activity than those of A. oryzae and A. sojae. These results suggest that the preparation of koji is possible with Korean wheat powder and soybean powder and A. sojae can be utilized as a new strain for fermented foods using soybean as the main materials to increase functional properties and produce products having a new taste and flavor.

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PERFORMANCE OF COMS SNOW AND SEA ICE DETECTION ALGORITHM

  • Lee, Jung-Rim;Chung, Chu-Yong;Ahn, Myoung-Hwan;Ou, Mi-Lim
    • Proceedings of the KSRS Conference
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    • 2007.10a
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    • pp.278-281
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    • 2007
  • The purpose of this study is to develop snow and sea ice detection algorithm in Communication, Ocean and Meteorological Satellite (COMS) meteorological data processing system. Since COMS has only five channels, it is not affordable to use microwave or shortwave infrared data which are effective and generally used for snow detection. In order to estimate snow and sea ice coverage, combinations between available channel data(mostly visible and 3.7 ${\mu}m$) are applied to the algorithm based on threshold method. As a result, the COMS snow and sea ice detection algorithm shows reliable performance compared to MODIS products with channel limitation. Specifically, there is partial underestimation over the complicated vegetation area and overestimation over the area of high level clouds such as cirrus. Some corrections are performed by using water vapor and infrared channels to remove cloud contamination and by applying NDVI to detect more snow pixels for the underestimated area.

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