• 제목/요약/키워드: Water Scale Detection

검색결과 84건 처리시간 0.024초

충남지역 다중이용시설의 환경수계에서 분리한 레지오넬라균의 특성 분석 (Characterization of Legionella Isolated from the Water System at Public Facilities in Chungcheongnam-do Province)

  • 천영희;이현아;남해성;최지혜;이다연;고영은;박종진;이미영;박준혁
    • 한국환경보건학회지
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    • 제47권5호
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    • pp.472-478
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    • 2021
  • Background: The Legionella case detection and notification rate have increased in public artificial water environments where people visit, including large buildings, public baths, and hospitals. Objectives: In this study, the distribution of Legionella and its epidemiologic characteristics were analyzed in the water systems of public facilities in Chungcheongnam-do Province in South Korea. Methods: Culture and PCR analysis were performed on 2,991 environmental water system samples collected from 2017 to 2019, and associations with year, facilities, seasons, and temperature of water system were statistically analyzed by using R-Studio for Windows. Descriptive data was compared using chi-square tests and independent t-tests. Results: The detection rate of Legionella increased from 3.1% in 2017 to 10.3% in 2019, appearing most frequently in the order of public baths, large-scale buildings, hospitals, and apartments. It was detected mainly in summer from June to August, over 1.0×103 CFU/L on average in 133 cases (66.5%). Lots of germs were detected in bathtub water, cooling tower water, and warm water (p<0.001), and it was detected at higher rates in the cities where multipurpose facilities were concentrated than in rural areas (p=0.018). Conclusions: This study suggests that continuous monitoring and control are required for Legionella in the water system environment of high risk facilities. Moreover, these results will be helpful to prepare efficient management plans to prevent the Legionellosis that occurs in Chungcheongnam-do Province.

구글어스엔진 클라우드 컴퓨팅 플랫폼 기반 위성 빅데이터를 활용한 수재해 모니터링 연구 (Research of Water-related Disaster Monitoring Using Satellite Bigdata Based on Google Earth Engine Cloud Computing Platform)

  • 박종수;강기묵
    • 대한원격탐사학회지
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    • 제38권6_3호
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    • pp.1761-1775
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    • 2022
  • 예측하기 힘든 기후변화로 인해 물 관련 재해의 발생 빈도와 피해 규모도 지속적으로 증가하는 추세이다. 재난관리의 측면에서 광범위한 지역의 피해면적을 파악하고, 중·장기적 예측을 위한 모니터링이 필수적이다. 수재해 분야에서 광역적 모니터링을 위해 Synthetic Aperture Radar (SAR) 위성영상을 활용한 원격탐사 기술 연구가 활발히 진행되고 있다. 수재해 모니터링을 위한 시계열 분석에는 방대한 양의 영상수집과 잡음이 많은 레이더 산란 특성을 고려한 복잡한 전처리과정이 필요하며, 이를 위해 상당한 시간이 소요되는 한계가 있다. 최근 클라우드 컴퓨팅 기술의 발전과 함께 위성 빅데이터를 활용한 시·공간 분석이 가능한 많은 플랫폼들이 제안되고 있다. 구글어스엔진(Google Earth Engine, GEE)은 대표적인 플랫폼으로, 600여개의 위성 자료를 무료로 제공하고 있으며 위성영상의 분석준비데이터를 기반으로 준-실시간 시·공간 분석이 가능하다. 이에 본 연구에서는 구글어스엔진을 활용한 즉각적인 수재해 피해 탐지와 중·장기적 시계열 관측 연구를 수행하였다. 변화탐지에 주로 활용되는 Otsu 기법을 통해 '20년 발생한 집중호우를 중심으로 하천 범람으로 인한 하폭의 변화와 피해 면적을 확인하였다. 또한 재난관리 측면에서 모니터링의 중요성이 요구되는 만큼 상습침수지역으로 선정된 연구대상 지역을 중심으로 '18년부터 '22년까지의 시계열 수체의 변화 경향을 확인하였다. 구글어스엔진은 자바스크립트 기반 코딩을 통한 짧은 처리시간, 시공간 분석과 표출의 강점으로 수재해 분야 활용이 가능할 것으로 판단된다. 더불어 향후 다양한 위성 빅데이터와의 연계를 통해 활용 분야가 확대될 것으로 기대된다.

고해상도 위성영상을 활용한 낙동강 녹조탐지기법 비교 및 분석 (Green Algae Detection in the Middle·Downstream of Nakdong River Using High-Resolution Satellite Data)

  • 변유경;서민지;진동현;정대성;우종호;전우진;한경수
    • 대한원격탐사학회지
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    • 제37권3호
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    • pp.493-502
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    • 2021
  • 최근 기온변화 및 오염원 증가에 따른 수온 상승으로 수계 내에 부영양화가 진행되어 녹조가 다수 발생하고 있으며, 이러한 녹조의 발생과 감시를 위하여 위성영상을 이용한 연구가 많이 이루어지고 있다. 하지만 선행연구에서는 단일 지수만을 활용한 녹조탐지로 지역 수계의 광학적 특성을 고려하기 어려운 문제점 및 중·저해상도 위성영상을 활용하여 대규모의 녹조탐지를 수행함에 따라, 좁은 폭인 강에서의 녹조탐지에는 정확도가 떨어진다는 한계점이 존재한다. 따라서 본 연구에서는 Sentinel-2 위성의 고해상도 영상을 활용하여 NDVI, SEI, FGAI 단일지수 및 본 연구에서 개발한 두 개의 혼합지수들을 녹조탐지에 활용하였다. 본 연구에서는 녹조탐지 알고리즘의 정확도 평가를 위해 POD, FAR, PC 값을 활용하였으며, FGAI와 SEI를 혼합한 지수가 전체 정확도 PC에서 98.29%로 제일 높은 정확도를 보였다.

상수도관로 누수신호의 특성 분석을 위한 누수 실험시설 개발 (Development of leakage test facility for leak signal characteristic analysis in water pipeline)

  • 박상혁;곽필재;이현동;최창호
    • 상하수도학회지
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    • 제31권5호
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    • pp.459-469
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    • 2017
  • A real scale leakage test facility was developed to study the leak signal characteristics of water supply pipelines, and then leak tests were carried out. The facility was designed to overcome the limited experimental circumstances of domestic water supply pipeline experimental facilities. The length of the pipeline, which was installed as a straight line, is 280m. Six pipes were installed on a 70m interval with different pipe material and diameters that are DCIP(D200, D150, D100, D80), PE(D75) and PVC(D75).The intensity of the leakage is adjusted by changing the size of the leak hole and the opening rate of ball valve. Various pressure conditions were simulated using a pressure reducing valve.To minimize external noise sources which, deteriorate the quality of measured leak signal, the facility was built at a quiet area, where traffic and water consumption by customers is relatively rare. In addition, the usage of electric equipment was minimized to block out noise and the facility was operated using manual mode. From the experimental results of measured leakage signal at the facility, it was found that the signal intensity weakened and the signal of high frequency band attenuated as the distance from the water leakage point increased.

Online Burning Material Pile Detection on Color Clustering and Quaternion based Edge Detection in Boiler

  • Wang, Weixing;Liu, Sheng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권1호
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    • pp.190-207
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    • 2015
  • In the combustion engineering, to decrease pollution and increase production efficiency, and to optimally keep solid burning material amount constant in a burner online, it needs a smart method to detect the amount variation of the burning materials in a high temperature environment. This paper presents an online machine vision system for automatically measuring and detecting the burning material amount inside a burner or a boiler. In the camera-protecting box of the system, a sub-system for cooling is constructed by using the cooling water circulation techqique. In addition, the key and intelligent step in the system is to detect the pile profile of the variable burning material, and the algorithm for the pile profile tracing was studied based on the combination of the gey level (color) discontinuity and similarity based image segmentation methods, the discontinuity based sub-algorithm is made on the quaternion convolution, and the similarity based sub-algorithm is designed according to the region growing with multi-scale clustering. The results of the two sub-algoritms are fused to delineate the final pile profile, and the algorithm has been tested and applied in different industrial burners and boilers. The experiements show that the proposed algorithm works satisfactorily.

CRPT를 이용한 연약지반 협재층 탐지 (Detection of thin-layered soil using CRPT in soft soil)

  • 윤형구;김준한;김래현;최용규;이종섭
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 2008년도 추계 학술발표회
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    • pp.117-125
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    • 2008
  • The detection of thin-layered soil is important in soft soils to evaluate the soil behavior. The smaller diameter cone penetrometer have been commonly used to detect the layer with increasing sensitivity. The objective of this study is to detect the thin-layered soil using cone resistance and electrical resistance. The cone resistivity penetration test (CRPT) is developed to evaluate the cone tip resistance and electrical resistance at the tip. The CRPT is a micro-cone which has a $0.78cm^2$ in projected area. The application test is conducted in a laboratory large-scale consolidometer (calibration chamber). The kaolinite, sand and water are mixed to make the specimen at the liquid limit of 46% using a slurry mixer. It takes two months for the consolidation of the specimen. After consolidation, the CRPT test is carried out. Furthermore the standard CPT results are compared with the electrical resistance measured at the tip in the field. This study suggests that the CRPT may be a useful tool for detecting thin-layers in soft soils.

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KOMPSAT-5 위성 영상을 활용한 라오스 세피안-세남노이 댐 붕괴에 따른 수계변화 탐지 (Detection of Change in Water System Due to Collapse of Laos Xe pian-Xe namnoy Dam Using KOMPSAT-5 Satellites)

  • 김윤지;이명진;이선민
    • 대한원격탐사학회지
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    • 제35권6_4호
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    • pp.1417-1424
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    • 2019
  • 최근 전지구적으로 재난재해가 빈번하게 발생하고 있으며, 재난재해는 규모가 크게 나타나고, 접근하기 어려운 특징이 있어 위성영상을 활용한 재난재해 연구는 꾸준히 진행되어 왔다. 2018년 라오스 세피안-세남노이 댐 붕괴 역시 인명 및 경제적으로 많은 피해를 발생시켰다. 본 연구에서는 세피안-세남노이 댐 붕괴로 인해 변화된 수계를 탐지하고, 이를 통해 향후 침수가 예상되는 지역을 도출해보고자 하였다. 이를 위하여, 정량적으로 수계변화를 탐지하고자 댐 붕괴 전후의 KOMPSAT-5 amplitude영상 각각으로부터 수계를 추출하여 비교해본 결과, 댐 붕괴 후 10배 이상으로 수계면적이 증가하였음을 확인하였다. 또한, 새롭게 생성된 수계는 고도가 낮은 지역으로 두껍게 생성되었음을 확인할 수 있었다. 이러한 결과는 향후, 기존 운영되는 댐의 이상징후 및 이슈 발생에 대한 사전 대응을 체계화하는 데 활용이 가능할 것이라고 생각된다.

Constructing Overhauser Dynamic Nuclear Polarization-Nuclear Magnetic Resonance System Using Benchtop Electron Paramagnetic Resonance Spectrometer

  • Saun, Seung-Bo;Kim, JiWon;Han, Oc Hee
    • 한국자기공명학회논문지
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    • 제22권2호
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    • pp.34-39
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    • 2018
  • The Nuclear Magnetic Resonance (NMR) technique using Dynamic Nuclear Polarization (DNP) procedures is one of the promising techniques that enable overcoming low sensitivity problems in NMR spectroscopy. We constructed an ODNP-NMR system using a commercial benchtop EPR spectrometer. The $^1H$ NMR peak area of water in aqueous solutions of 4-hydroxy-TEMPO was enhanced more than 95 times in the ODNP-NMR experiments. Our signal enhancement results were about 55% of the previously reported result. This could be due to non-uniform microwave power over a sample and unwanted sample heating by microwave. However, this portable ODNP-NMR spectrometer will be eventually useful for site-specific detection with nano-scale spatial resolutions and molecular dynamics studies with significantly improved signal sensitivity.

DETECTION OF DUST LOADED AIRMASS IN SEAWIFS IMAGERY: AN EMPIRICAL DUST INDEX IN COMPARISON WITH MODEL-PREDICTED DUST DISTRIBUTION OVER THE PACIFIC IN APRIL,1998

  • Fukushima, H.;Schmidt, M.;Sohn, B.J.;Toratani, M.;Uno, I.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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    • pp.89-94
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    • 1999
  • The paper first proposes an empirical algorithm for detecting dust-loaded airmass observed by Sea Wide Field-of-view Scanner (SeaWiFS). The proposed dust index formula is based on the curvature of the spectral reflectance estimated from the SeaWiFS band 4 (510 nm band) through band 8 (865 nm band) data, assuming "clear ocean water" reflectance. Evaluation of the algorithm is made over several typical Asian dust images including the ones over the Pacific in April, 1998, when a major dust event was reported. The study analyzes the performance and the characteristics of the algorithm by comparing the satellite-derived dust index images with contemporaneous columnar concentration of dust particles predicted by a numerical dust transport model. The comparison reveals several small-scale differences although their dust distribution patterns show good agreement generally.

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Implantable and Flexible GaN LED for Biomedical Applications

  • 이건재
    • 한국재료학회:학술대회논문집
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    • 한국재료학회 2011년도 춘계학술발표대회
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    • pp.17.1-17.1
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    • 2011
  • Inorganic III-V light emitting diodes (LEDs) have superior characteristics, such as long-term stability, high efficiency, and strong brightness compared to conventional incandescent lamps and OLED. However, due to the brittle property of bulk inorganic semiconductor materials, III-V LED limits its applications in the field of high performance flexible electronics. This seminar introduces the first flexible and implantable GaN LED on plastic substrates that is transferred from bulk GaN on Si substrates. The superb properties of the flexible GaN thin film in terms of its wide band gap and high efficiency enable the dramatic extension of not only consumer electronic applications but also the biosensing scale. The flexible white LEDs are demonstrated for the feasibility of using a white light source for future flexible BLU devices. Finally a water-resist and a biocompatible PTFE-coated flexible LED biosensor can detect PSA at a detection limit of 1 ng/mL. These results show that the nitride-based flexible LED can be used as a type of implantable LED biosensor and as a therapy tool.

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