• 제목/요약/키워드: Water level detection

검색결과 260건 처리시간 0.026초

Nickel(II) Determination by Spectrophotometry Coupled with Preconcentration Technique in Water and Alloy Samples

  • Rekha, Dasari;Kumar, Jengiti. Dilip;Jayaraj, Bellum;Lingappa, Y.;Chiranjeevi, Pattium
    • Bulletin of the Korean Chemical Society
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    • 제28권3호
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    • pp.373-378
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    • 2007
  • A micro organism Agrobacterium tumifacient as an immobilized cell on a solid support was presented as a new biosorbent in a simple and sensitive spectrophotometry determination of Ni(II) in various samples using 4-hydroxy benzaldehyde-4-bromophenyl hydrazone as a color developing agent (λmax 497 nm) at pH 4.0 ± 0.2. Beer's law was obeyed over the range of 0.01-0.1 μg L-1. The molar absorptivity and Sandell's sensitivity were 1.285 × 105 L mol-1cm-1 and 0.007245 μg cm-2 respectively. Under these conditions, the preconcentration factor obtained was 82, and the detection limit achieved was 0.05 μg L-1. The detailed study of various interfering ions made the method more sensitive and selective. The recovery of Ni(II) from various samples range from 97.75 to 99.35%. The present method was successfully applied for the determination of Ni(II) in spiked, natural water and alloy samples. The proposed method was compared with reported methods in terms of Student's ‘t'-test and Variance ratio ‘f'-test which indicates that there is no significant difference between proposed and literature method at 95% confidence level.

허용변화한계법(Limits of Acceptable Change: LAC)과 휴양기회분포(Recreation Opportunity Spectrum: ROS)를 적용한 갯벌자원 평가 (Evaluation of Wetland as Application on Limits of Acceptable Change: LAC.Recreation Opportunity Spectrum: ROS Methods)

  • 김진선
    • 한국조경학회지
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    • 제31권4호
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    • pp.57-66
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    • 2003
  • The purpose of this study is to evaluate the resource value of existing mud flats in JANGWHARI, KANGWHADO, as strategies for ecotourism. The research methods used in this study are Limits of Acceptable Change(LAC), and Recreation Opportunity Spectrum(ROS). The LAC process draws attention to the existing area conditions that are judged to be acceptable. Managers must define desired area conditions and undertake actions to maintain or achieve these conditions. The ROS is within each of the recreation opportunity classes identified as being used at the regional level. The Results of this study are as follows: 1) The Opportunity Class of the ROS is ecological, physical, social, managerial setting as primitive, semi-primitive. non-motorized, semi-primitive$.$motorized, and roaded natural. 2) The indicator of the LAC is ecological, physical, social, and managerial setting; the indicator of ecological is wildlife populations, water quality, road paving; the indicator of physical is facilities; the indicator of social is visitor needs for knowledge, adventure, eco-experience, and environmental education programs; and, the indicator of managerial is limits of law, and degree of management. 3) Currently, the Opportunity Class of the ROS of JANGWHARI, KANGWHADO is levels II-III, and the Opportunity Class of the suggested ROS is levels I-II. 4) This paper describes strategies for mud flat area management: detection of water quality, resolving problems of equipment, supply of both environmental education programs and guide equipment.

Determination of copper(II) in various samples by flame atomic absorption spectrophotometry after column separation by adsorption of its N-benzoylphenylhydroxylamine complex on benzophenone

  • Park, Moon-Hee;Choi, Hee-Seon
    • 분석과학
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    • 제20권1호
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    • pp.55-60
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    • 2007
  • A sensitive technique for the determination of trace Cu(II) in various samples after the column preconcentration by adsorbing its N-benzoylphenylhydroxylamine (BPHA) onto benzophenone was developed. Several experimental conditions such as the pH of the sample solution, the amount of chelating agent, the amount of benzophenone, and the flowrate of sample solution and so forth were optimized. The interfering effects of diverse concomitant ions were investigated. Fe(III) and $CN^-$ interfered with more seriously than any other ions. However, the interference by these ions could be overcome sufficiently by adjusting the added volume of 0.01M BPHA to 10 mL. The dynamic range, the correlation coefficient ($r^2$) and the detection limit obtained by this proposed technique were 5.0~120 ng/mL, 0.9974, and 2.1 ng/mL, respectively. For validating this proposed technique, the aqueous samples (stream water, reservoir water, and wastewater), the plastic sample and the diluted brass sample were used. Recovery yields of 93~102% were obtained. These measured data were not different from ICP-MS data at 95% confidence level. This method was also validated by the rice flour CRM (normal, fortified) samples. Based on the results from the experiment, it was found that this proposed technique could be applied to the determination of Cu(II) in various real samples.

Sentinel-1 SAR 영상과 AI 기법을 이용한 국내 중소규모 농업저수지의 수표면적 산출 (An Artificial Intelligence Approach to Waterbody Detection of the Agricultural Reservoirs in South Korea Using Sentinel-1 SAR Images)

  • 최소연;윤유정;강종구;박강현;김근아;이슬찬;최민하;정하규;이양원
    • 대한원격탐사학회지
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    • 제38권5_3호
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    • pp.925-938
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    • 2022
  • 농업용 저수지는 전국적으로 중요한 수자원으로 기후변화에 따른 가뭄과 같은 이상기후의 영향에 취약한 특성을 가지며 적절한 운영을 위해 강화된 관리가 필요하다. 지속적인 모니터링을 통한 수위 추적(water level tracking)이 필요하지만 현실적인 문제로 현장 실측 및 관측이 어려운 실정이다. 본 연구는 저수지 수표면적을 측정하기 위해 광역 모니터링이 가능한 위성레이더 자료를 이용하여 4가지 AI 모델 간의 수체 탐지 성능에 대해 객관적인 비교를 제시한다. 위성 레이더자료는 Sentinel-1 SAR 이미지를 사용하였으며, 광학영상과 달리 기상환경에 영향을 적게 받기 때문에 장기 모니터링에 적합하다. 드론 이미지, Sentinel-1 SAR 그리고 DSM 데이터를 사용하여 Support Vector Machine (SVM), Random Forest (RF), Artificial Neural Network (ANN), Automated Machine Learning (AutoML)의 4가지 AI 모델을 구축했다. 연구대상 저수지는 총 22개소로 유효저수량이 30만톤 미만의 중소형 저수지이다. 총 45개 이미지가 모델 훈련과 검증에 사용되었으며, 연구 결과 AutoML 모델이 Accuracy=0.92, mIoU=0.81로 다른 3가지 모델에 비해 수체 픽셀 분류에서 0.01-0.03 더 나은 것을 보여주었다. 해당 결과는 SAR 영상으로부터 AutoML을 이용한 중소형 저수지 대상의 수체 분류 기법이 기존의 머신러닝 기법만큼의 성능을 보이는 것을 보여주었고, 학습을 통한 수표면적 분류 기술의 저수지 모니터링에 대한 적용 가능성을 보여주었다.

환경 대기 중 ppt 수준의 황화수소 분석을 위한 GC 방식의 검량 기법에 대한 연구 (Calibration Methods for the Gas Chromatographic Analysis of ppt-level Hydrogen Sulfide (H2) in Air)

  • 김기현;오상인;최여진;최규훈;주도원
    • 한국대기환경학회지
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    • 제19권6호
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    • pp.679-687
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    • 2003
  • In this study, we investigated the analytical techniques to quantify the ambient concentration of hydrogen sulfide (H$_2$S) in air at ppt concentration level. For this purpose, an on-line GC analytical system equipped with both pulsed-flame photometric detector (PFPD) and thermal desorption unit (TDU) was investigated by collecting ambient air samples. The results of our study generally indicated that calibration conditions of GC system is highly sensitive to affect the accuracy of the analytical technique. Most importantly. we found that the use of different matrices in the the preparation stage of working standards was sensitive to control the overall performance of this technique. The calibration of our analytical system was tested by the two types of working standard (prepared by mixing either with high purity $N_2$ or with the ambient air). According to this test, the latter represented more efficiently the detecting conditions of actual air samples. The peak occurrence patterns of both air samples and standards (prepared by mixing with ambient air) were altered in a similar manner as the function of the loaded volume; however, it was not the case for the $N_2$-mixed standards. Results of our study suggest that detection of H$_2$S is highly different from other sulfides and that its quantification requires minimiaing interfering effects of non -pure substance (like water vapor) and (either sorptive or destructive) loss effects.

Linear Feature Extraction from Satellite Imagery using Discontinuity-Based Segmentation Algorithm

  • Niaraki, Abolghasem Sadeghi;Kim, Kye-Hyun;Shojaei, Asghar
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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    • pp.643-646
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    • 2006
  • This paper addresses the approach to extract linear features from satellite imagery using an efficient segmentation method. The extraction of linear features from satellite images has been the main concern of many scientists. There is a need to develop a more capable and cost effective method for the Iranian map revision tasks. The conventional approaches for producing, maintaining, and updating GIS map are time consuming and costly process. Hence, this research is intended to investigate how to obtain linear features from SPOT satellite imagery. This was accomplished using a discontinuity-based segmentation technique that encompasses four stages: low level bottom-up, middle level bottom-up, edge thinning and accuracy assessment. The first step is geometric correction and noise removal using suitable operator. The second step includes choosing the appropriate edge detection method, finding its proper threshold and designing the built-up image. The next step is implementing edge thinning method using mathematical morphology technique. Lastly, the geometric accuracy assessment task for feature extraction as well as an assessment for the built-up result has been carried out. Overall, this approach has been applied successfully for linear feature extraction from SPOT image.

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제주도 관정 공벽 내 오염물질 유입 구간 탐지 및 차단 사례 (Case for Detection and Prevention of Inflow Section for Contaminant through Annular Space in Borehole, Jeju Island)

  • 송성호;황보동준;김진성;양원석
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제27권3호
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    • pp.1-10
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    • 2022
  • Most wells developed in Jeju island before the enactment of the Groundwater Management Ordinance in 2002 are vulnerable to aquifer contamination due to inflow of upper groundwater having the high concentration of nitrate nitrogen, likely due to incomplete grouting in upper section of the wells. Although these wells require entire reinstallation, it is often necessary to rehabilitate the existing wells due to various constraints. Therefore, to identified the inflow section of contaminants, the thermal level sensor (TLS) technique was firstly applied for three wells, which enables to monitor temperature variations in every 50 cm depth. Then, the grouting material was injected to the upper section to prevent the inflow of upper contaminated groundwater into the entire aquifer. By applying TLS technique, it was found that the temperature deviations in the upper groundwater inflow section decreased sharply. Moreover, both the change in the concentration of nitrate nitrogen in the rainy/dry seasons and the average concentrations were found to decrease rapidly after grouting material injection. Consequently, the application of TLS proposed in the study turned out to be appropriate to prevent aquifer contamination.

랜�V-5호(號) TM 데이타를 이용(利用)한 구분후(區分后) 비교(比較) 및 영상대차(映像對差)의 습지대(濕地帶) 변화(變化) 탐지(探知) 기법(技法)에 관(關)한 비교연구(比較硏究) (A Comparative Study of Wetland Change Detection Techniques Using Post-Classification Comparison and Image Differencing on Landsat-5 TM Data)

  • 정성학
    • 한국산림과학회지
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    • 제81권4호
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    • pp.346-356
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    • 1992
  • 미서부(美西部)의 광대한 Snake강(江) 범람평원은 홍수로 인하여 수로(水路) 및 식생형(植生型)의 빈번한 변화 및 침해를 받아왔다. 1985년과 1988년 기간 동안의 습지대 식생형의 변화를 탐지하기 위하여, 원격탐사의 변화탐지 기법(技法) 중 구분후(區分后) 비교(比較) 및 영상대차법(映像對差法) 등을 Landsat-5호 TM 디지탈 데이타를 이용하여 비교 고찰 하였다. 대차(對差)된 적외선대(外線帶) 영상들이 가시대(可視帶) 영상을보다 나은 정확도 지표(指標)를 보였으며, 역기법(閾技法)을 적용하여, 영상대차법에 의하여 변형된 영상들로부터 변화(變化)와 무변화(無變化)를 구분하였다. 또한, 여러 정확도 지표들 즉, 카파 일치계수(一致係數), 총정확도, 생산자 정확도, 이용자 정확도 및 평균정확도(생산자 및 이용자 정확도 등에 근거한) 등을 이용하여 최적역영역(最適閾領域)을 결정함에 있어서의 문제점들을 고찰하였다.

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Design, Development and Testing of the Modular Unmanned Surface Vehicle Platform for Marine Waste Detection

  • Vasilj, Josip;Stancic, Ivo;Grujic, Tamara;Music, Josip
    • Journal of Multimedia Information System
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    • 제4권4호
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    • pp.195-204
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    • 2017
  • Mobile robots are used for years as a valuable research and educational tool in form of available open-platform designs and Do-It-Yourself kits. Rapid development and costs reduction of Unmanned Air Vehicles (UAV) and ground based mobile robots in recent years allowed researchers to utilize them as an affordable research platform. Despite of recent developments in the area of ground and airborne robotics, only few examples of Unmanned Surface Vehicle (USV) platforms targeted for research purposes can be found. Aim of this paper is to present the development of open-design USV drone with integrated multi-level control hardware architecture. Proposed catamaran - type water surface drone enables direct control over wireless radio link, separate development of algorithms for optimal propulsion control, navigation and communication with the ground-based control station. Whole design is highly modular, where each component can be replaced or modified according to desired task, payload or environmental conditions. Developed USV is planned to be utilized as a part of the system for detection and identification of marine and lake waste. Cameras mounted to the USV would record sea or lake surfaces, and recorded video sequences and images would be processed by state-of-the-art computer vision and machine learning algorithms in order to identify and classify marine and lake waste.

Quantitative Analysis of Lysophosphatidic Acid in Human Plasma by Tandem Mass Spectrometry

  • Kim, Ho-Hyun;Yoon, Hye-Ran;Pyo, Dong-Jin
    • Bulletin of the Korean Chemical Society
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    • 제23권8호
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    • pp.1139-1143
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    • 2002
  • Analysis of lysophosphatidic acids (LPAs) is of clinical importance as they can serve a potential marker for ovarian and other gynecological cancers and obesity. It is critically important to develop a highly sensitive and specific method for the early detection of gynecological cancers to improve the overall outcome of this disease. We have established a novel quantification method of LPAs in human plasma by negative ionization tandem mass spectrometry (MS-MS) using multiple reaction monitoring (MRM) mode without the conventional TLC step. Protein-bound lipids, LPAs in plasma were extracted with methanol : chloroform (2:1) containing LPA C14:0 as an internal standard under acidic condition. Following back extraction with chloroform and water, the centrifuged lower phase was evaporated and reconstituted in methanol. The reconstituted solution was directly injected into electrospray source of MS/MS. For MRM mode, Q1 ions selected were m/z 409, 433, 435, 437 and 457 which corresponds to molecular mass [M-H]- of C16:0, C18:2, C18:1, C18:0 and C20:4 LPA, respectively. Q2 ions selected for MRM were m/z 79, phosphoryl product. Using MS/MS with MRM mode, all the species of LPAs were completely separated from plasma matrix without severe interferences. This method allowed simultaneous detection and quantification of different species of LPAs in a plasma over a linear dynamic range of 0.01-25 ㎛olL-1 . The detection limit of the method was 0.3 pmol/mL, with a correlation coefficient of 0.9983 in most LPAs analyzed. When applied to the plasmas of normal and gynecological cancer patients, this new method differentiated two different groups by way of total LPA level.