• Title/Summary/Keyword: Environmental Monitoring

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Real-time structural damage detection using wireless sensing and monitoring system

  • Lu, Kung-Chun;Loh, Chin-Hsiung;Yang, Yuan-Sen;Lynch, Jerome P.;Law, K.H.
    • Smart Structures and Systems
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    • v.4 no.6
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    • pp.759-777
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    • 2008
  • A wireless sensing system is designed for application to structural monitoring and damage detection applications. Embedded in the wireless monitoring module is a two-tier prediction model, the auto-regressive (AR) and the autoregressive model with exogenous inputs (ARX), used to obtain damage sensitive features of a structure. To validate the performance of the proposed wireless monitoring and damage detection system, two near full scale single-story RC-frames, with and without brick wall system, are instrumented with the wireless monitoring system for real time damage detection during shaking table tests. White noise and seismic ground motion records are applied to the base of the structure using a shaking table. Pattern classification methods are then adopted to classify the structure as damaged or undamaged using time series coefficients as entities of a damage-sensitive feature vector. The demonstration of the damage detection methodology is shown to be capable of identifying damage using a wireless structural monitoring system. The accuracy and sensitivity of the MEMS-based wireless sensors employed are also verified through comparison to data recorded using a traditional wired monitoring system.

Removal Nitrogen and Phosphorus using Intelligent auto control system

  • Kim, Young-Gyu;Chong, Young-Guin
    • Proceedings of the Korean Environmental Health Society Conference
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    • 2003.06a
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    • pp.147-149
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    • 2003
  • Automatic monitoring and controling system, especially DO and MLSS was faciliated for the nitrogen and phosphorus removal efficiencies. Removal efficiency of nitrogen and phosphorus by automatic monitoring and controling system, especially DO and SRT was have well adopted. and so it will be possible to use artificial intelligence logic control software such as fuzzy or neuro logic control system for WWT Plant.

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Review of Remote Sensing Applicability for Monitoring Marine Microplastics (해양 미세플라스틱 모니터링을 위한 원격탐사 적용 가능성 검토)

  • Park, Suhyeon;Kim, Changmin;Jeong, Seongwoo;Jang, Seonggan;Kim, Subeen;Ha, Taejung;Han, Kyung-soo;Yang, Minjune
    • Korean Journal of Remote Sensing
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    • v.38 no.5_3
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    • pp.835-850
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    • 2022
  • Microplastics have arisen as a worldwide environmental concern, becoming ubiquitous in all marine compartments, and various researches on monitoring marine microplastics are being actively conducted worldwide. Recently, application of a remote detection technology that enables large-scale real-time observation to marine plastic monitoring has been conducted overseas. However, in South Korea, there is little information linking remote detection to marine microplastics and some field studies have demonstrated remote detection of medium- and large-sized marine plastics. This study introduces research cases with remote detection of marine plastics in South Korea and overseas, investigates potential feasibility of using the remote detection technology to marine microplastic monitoring, and suggests some future works to monitor marine microplastics with the remote detection.

Improvement of Water Quality and Streamflow Monitoring to Quantify Point and Nonpoint Source Pollutant Loads (점오염원과 비점오염원 부하량 정량화를 위한 수질 유량 모니터링 개선)

  • Jang, Ju-Hyoung;Lee, Hyung-Jin;Kim, Hyun-Koo;Park, Ji-Hyoung;Kim, Ji-Ho;Rhew, Doug-Hee
    • Journal of Korean Society on Water Environment
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    • v.26 no.5
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    • pp.860-870
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    • 2010
  • Long term monthly monitoring data showed that the water quality of streams flowing into Lake Paldang has been improved by various strategy for water. However, the effect of quality on Lake Paldang is still insufficient because of nonpoint source from watershed. In order to evaluate quantifying methods for pollution source and make a suggestion on improvements, Storm Water Management Model (SWMM) was constructed by using data set from the water quality and streamflow monitoring network in the Kyoungan watershed for Total Maximum Daily Loads (TMDLs). Load duration curve (LDC) based on the result of the Kyoungan watershed SWMM indicated that the water quality criterion on $BOD_5$ was often exceeded in up-stream than down-stream. From flowrate-load correlation curve, SS load significantly increased as streamflow increases. 75.3% of streamflow and 62.1% of $BOD_5$ loads is discharged especially in the zone of high flows, but monitoring data set didn't provide proper information about the conditions and the patterns associated with storm events. Therefore, it is necessary to acquire representative data set for comparing hydrograph and pollutograph through monitoring experimental watershed and to establish methods for quantifying point and nonpoint source pollutant loads.

Application of MODIS Satellite Observation Data for Air Quality Forecast (MODIS 인공위성 관측 자료를 이용한 대기질 예측 응용)

  • Lee, Kwon-Ho;Lee, Dong-Ha;Kim, Young-Joon
    • Journal of Korean Society for Atmospheric Environment
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    • v.22 no.6
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    • pp.851-862
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    • 2006
  • Satellites have been valuable tool for global/regional scale atmospheric environment monitoring as well as emission source detection. In this study, we present the results of application of satellite remote sensing data for air quality forecast in Seoul metropolitan area. AOT (Aerosol Optical Thickness) data from TERRA/MODIS (Moderate Resolution Imaging Spectre-radiometer) satellite were compared to ground based $PM_{10}$ mass concentrations, and used to estimate the possibility of the aerosol forecasting in Seoul metropolitan area. Although correlation coefficient (${\sim}0.37$) between MODIS AOT products and surface $PM_{10}$ concentration data was relatively low, there was good correlation between MODIS AOT and surface PM concentration under certain atmospheric conditions, which supports the feasibility of using the high-resolution MODIS AOT for air quality forecasting. The MODIS AOT data with trajectory forecasts also can provide information on aerosol concentration trend. The success rate of the 24 hour aerosol concentration trend forecast result was about 75% in this study. Finally, application of satellite remote sensing data with ground-based air quality observations could provide promising results for air quality monitoring and more exact trend forecast methodology by high resolution satellite data and verification with long term measurement dataset.

An improvement plan for a workplace monitoring system through random selection of workplaces and unnoticed measurement inspection (사업장 무작위 선정 및 불시측정 방식을 통한 작업환경측정제도 신뢰성 제고 방안)

  • Jeong, Jee Yeon;Kang, Tae Sun;Lee, Seung Gill;Park, Hae Dong;Kim, Ki Youn
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.27 no.2
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    • pp.105-114
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    • 2017
  • Objectives: The Ministry of Employment and Labor's enforcement programs, such as workplace monitoring inspection, are one of the major public efforts to protect worker's health. Therefore, a more effective inspection method is required for workplace monitoring, which is helpful for controlling health hazards in the workplace. Methods: For this study, we investigated the related safety and health laws, regulations, and inspection guidelines from the USA, Japan, and Korea. We also analyzed the provisions of industrial safety and health acts, which are related to enhancing the reliability of workplace monitoring. We applied the process of opinion convergence through an experts meeting for our research. Results: We proposed an efficient inspection scheme for workplace monitoring that includes how to select companies(mainly randomized inspections by using a workplace measurement database and workers' compensation insurance database), how to proceed with the inspection process(mainly unannounced visits), and who should carry out this project. Conclusions: We conclude that our proposal for the inspection of workplace monitoring could be a very effective tool for reducing the numbers of companies that do not undertake workplace monitoring and could produce reliable monitoring results.

The Effectiveness of Environmental Management through Environmental Surveillance (환경감시를 통한 환경관리의 효과)

  • Mi Hyang Lee;Jae Yeun Kim;Sang Ha Kim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.557-561
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    • 2023
  • This study aims to assess how effective environmental management can be accomplished through monitoring of environmental conditions in patient discharge rooms within healthcare facilities through direct observation and the use of fluorescent markers. From March to July 2013, this study evaluated 448 check-out beds in wards and intensive care units before and 494 after intensive environmental monitoring activities. The collected data were analyzed using the SPSS 21.0 program. According to the study's findings, direct observation increased from 95.2% prior to the implementation of intensive environmental monitoring activities to 98.9% following the implementation, which was statistically significant. The non-detection rate of fluorescent markers exhibited an increase from 96.1% prior to the commencement of intensive environmental monitoring activities to 98.0% following their implementation. However, it should be noted that this observed increase was not deemed statistically significant. In light of the results of this research, it is imperative to evaluate the effectiveness of environmental management by employing a variety of assessment methods, including direct observation and fluorescent markers.