• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.12
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• pp.117-124
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• 2019

Vibrio cholerae is a very important pathogenic bacterium that has to be monitored in seafood and ships' ballast water. Various methods have been developed to identify this bacterium, yet these methods are time-consuming and have limitations for their sensitivity to detect contamination. The purpose of the present study was to develop a robust and reliable method for identifying V. cholerae. Peptide nucleic acid (PNA) probes were developed to use for PNA-based asymmetrical real-time PCR techniques. The toxigenic Cholera enterotoxin subunit B (ctxB) gene was selected as a target for detecting V. cholerae and the gene was synthesized as a positive template for conventional and real-time PCR. Real-time PCR primers and PNA probes were designed and standard curves were produced for the quantitative analysis. The selected PNA probes reacted specifically to V. cholerae without any ambiguity, even among closely related species, and the detection limit was 0.1 cfu/100 mL. Taken together, the PNA probes and asymmetrical qPCR methods developed in this present study could contribute to the rapid, accurate monitoring of V. cholerae in marine environments, and as well as in seafood and ships' ballast waters.

• Korean Journal of Agricultural and Forest Meteorology
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• v.5 no.2
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• pp.116-127
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• 2003

The Tak flux measurement (TFM) site, one of the sites of Korean Flux Network (KoFlux) which is an infrastructure of AsiaFlux, is constructed at a northwest of Thailand. The eddy covariance technique is used for measuring energy, water and carbon dioxide ($CO_2$) fluxes, and a real time monitoring and simulation system (RTMASS) developed for data acquisition and processing. The RTMASS is the core structure of the KoFlux-data information system (KoFlux-DIS) and consisted of a remote and a local system. Data acquisition and transmission, and data storage, processing and publishing are functions of those systems, respectively. As primary results about the characteristics of mean flow and turbulence analysis, TFM is a proper site to measure and analyze the various fluxes and those budgets on tropical deciduous forest.

• Journal of Soil and Groundwater Environment
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• v.7 no.4
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• pp.48-58
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• 2002

As a pilot experiment for developing the monitoring system for oil spill from storage tank, previous approach of monitoring contaminated oil from mixed soil sample had the limitation that it cannot reflect the real situations of the contamination. In this study, more realistic contamination condition and water contents were considered. Fluorescence intensity was not affected by water contents. To acquire the stability of media, sand, Ca-bentonite, alumina, Fe-oxide, bead and silica were tested. Only sand was suitable to our system. These results should provide basic information for constructing reliable monitoring system.

• Korean Journal of Remote Sensing
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• v.38 no.6_3
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• pp.1761-1775
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• 2022

Due to unpredictable climate change, the frequency of occurrence of water-related disasters and the scale of damage are also continuously increasing. In terms of disaster management, it is essential to identify the damaged area in a wide area and monitor for mid-term and long-term forecasting. In the field of water disasters, research on remote sensing technology using Synthetic Aperture Radar (SAR) satellite images for wide-area monitoring is being actively conducted. Time-series analysis for monitoring requires a complex preprocessing process that collects a large amount of images and considers the noisy radar characteristics, and for this, a considerable amount of time is required. With the recent development of cloud computing technology, many platforms capable of performing spatiotemporal analysis using satellite big data have been proposed. Google Earth Engine (GEE)is a representative platform that provides about 600 satellite data for free and enables semi real time space time analysis based on the analysis preparation data of satellite images. Therefore, in this study, immediate water disaster damage detection and mid to long term time series observation studies were conducted using GEE. Through the Otsu technique, which is mainly used for change detection, changes in river width and flood area due to river flooding were confirmed, centered on the torrential rains that occurred in 2020. In addition, in terms of disaster management, the change trend of the time series waterbody from 2018 to 2022 was confirmed. The short processing time through javascript based coding, and the strength of spatiotemporal analysis and result expression, are expected to enable use in the field of water disasters. In addition, it is expected that the field of application will be expanded through connection with various satellite bigdata in the future.

• Journal of Digital Contents Society
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• v.18 no.4
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• pp.787-793
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• 2017

This paper proposes the IoT based monitoring system to reservoir and erosion control dam that measure amount of contained water and amount of sediment by real time through unit volume block object modeling and support the related image. The proposed system is more effective in establishing a more accurate dredging plan and effectively managing efficient water management plans, and effectively preventing accidents such as landslides, etc.

• Tribology and Lubricants
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• v.37 no.2
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• pp.41-47
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• 2021

An experimental device was developed for analysis of hydraulic oil characteristics with dielectric constant sensors. Online analysis is the most effective method of the three methods used for analyzing lubricant oils. This is because it can monitor the machine condition effectively using oil sensors in real time without requiring excellent analysis skill and eliminates human errors. Determining the oil quality usually requires complex laboratory equipment for measuring factors such as density, viscosity, base number, acid number, water content, additive, and wear debris. However, the electric constant is another indicator of oil quality that can be measured on-site. The electric constant is the ratio of the capacitance of a capacitor using that material as a dielectric, compared with a similar capacitor that has a vacuum as its dielectric. The electric constant affects the factors such as the base oil, additive, temperature, electric field frequency, water content, and contaminants. In this study, the tendency of the electric constant is investigated with a variation of temperature, water content, and dust weight. The experimental device can control working temperature and mix the contaminants with oil. A machine condition monitoring program developed to analyze hydraulic oil is described. This program provides graph and digital values with variation of time. Moreover, it includes an alarm system for when the oil condition is bad.

• Journal of Korean Society on Water Environment
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• v.26 no.6
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• pp.994-999
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• 2010

The toxin of Cyanobacteria (blue-green algae) during summer season has been a problem and early prevention should be considered. A variety of methods can be used to forecast algal blooms and this study aims at examining feasibility of chlorophyll-a. The real-time data were collected by automatic water quality monitoring system (AWQMS) in Daecheong reservoir and invalid data were sorted by experts. And then, the sorted data were filled using linear interpolation. When the concentration of chlorophyll-a increased by $15mg/m^3$, water temperature and pH exceeded $26.8^{\circ}C$ and 9.5 respectively. As a result of correlation between chlorophyll-a and other parameters(i.e. water quality items and hydrological data), temperature (r=0.502 - 0.574), pH (r=0.583 - 0.681), total organic carbon (TOC, r=0.583 - 0.681) comparably had higher values. Meanwhile, the data around a day or two showed the highest correlation. In addition, chlorophyll-a is considered to be significantly effected by precipitation and inflow.

• Journal of Wetlands Research
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• v.8 no.1
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• pp.59-71
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• 2006

River Management System was developed to achieve water quality analysis that reflects physical characteristics of river flow. The Gyecheon basin which is located at the upstream of Hoengseong dam was selected as an experimental watershed and hydrologic and water quality monitoring network was set up for acquisition of real time data. The observed data have been stored in the system until present. The hydraulic and water quality models were constructed for an experimental watershed, and the calibration and verification was performed using past flood events and observed water quality data. Graphic User Interface(GUI) was developed with ArcView in a study area. Developed system can be effectively used to water quality monitoring and management in Hoengseong Lake.

• Applied Chemistry for Engineering
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• v.27 no.6
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• pp.565-572
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• 2016

While there have been great demands on improving domestic water pollution issues, the necessity for real time monitoring of particular drug residues in water resources has been raised since drug residues including antibiotics could provoke new trains of drug-resistant bacteria in water environments. Among many different types of drugs used for pharmaceutical treatment, antibiotics are considered to be one of the most hazardous to our ecosystem since they can rapidly promote the spreading of drug-resistant bacteria in water environments. In this mini-review, we will highlight recent developments made on creating in-situ sensing platforms for the fast monitoring of antibiotic residues in aquatic environmental samples focusing on optical and electrochemical techniques. Related recent technology developments and the resulting economy effects will also be discussed.

• Journal of the Korean GEO-environmental Society
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• v.16 no.6
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• pp.39-43
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• 2015

This study extends the Distributed Temperature Sensing (DTS) application to delineate the saturated zones in shallow sediment and evaluate the groundwater flow in both downward and upward directions. Dry, partially and fully saturated zones and water level in the subsurface can be recognized from this study. High resolution seepage velocity in vertical direction was estimated from the temperature data in the fully saturated zone. By a single profile, water level can be detected and seepage velocity in saturated zone can be estimated. Furthermore, thermal gradient analysis serves as a new technique to verify unsaturated and saturated zones in the subsurface. The vertical seepage velocity distribution in the recognized saturated zone is then analyzed with improvement of Bredehoeft and Papaopulos' model. This new approach provides promising potential in real-time monitoring of groundwater movement.