• Title/Summary/Keyword: total dust

검색결과 510건 처리시간 0.099초

The Indoor Air Purification System Using LED and Fan for Epipremnum aureum (스킨답서스에 LED와 Fan을 이용한 실내공기정화 시스템)

  • Kim, Taehyun;Park, Junmo;Kim, Soochan
    • Journal of the Institute of Convergence Signal Processing
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    • 제19권4호
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    • pp.167-173
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    • 2018
  • We propose an air purification system that utilizes aerial plant parts and root zone of indoor plants where light is insufficient and air circulation is bad. In order to maximize the air purification effect of the plant, the aerial plant parts illuminates mixed light combining blue and green LED and CRI(Color Rendering Index) LEDs close to natural light, respectively. And the root zone was forcibly circulated by the fan to use the soil as a filter. The indoor air purification system combined with the light source and the fan removed most polluted air in the shortest. In the case of mixed light and CRI LEDs of indoor air purification system, fine dust decreased by 14%, 14.2%, and TVOC(Total volatile organic compounds) decreased by 7.5% and 9.4%, respectively. In the experiment in which the fan was operated for 15 minutes, the TVOC decreased to 97.8%. The photosynthesis of the plant and the use of soil as a filter were able to purify polluted air in a short time. And the fan's temporary operation gave the similar effect of continuous operation.

Case Study on the Explosive Demolition of DCRE Incheon Plant (디씨알이 인천공장 발파해체 시공사례)

  • Kim, Sang-Min;Park, Keun-Sun;Kim, Ho-Jun;Kim, Hee-Do;Kim, Gab-Soo;An, Kyung-Ro
    • Explosives and Blasting
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    • 제37권1호
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    • pp.34-47
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    • 2019
  • This case study is concerned with the project of the explosive demolition for the DCRE Incheon plant located in Hakik district in Incheon city. The building was severely aging due to the high temperature and sea winds of hundreds of degrees emitted by chimney-shaped steel structures inside the building. Due to this, the concrete of the column and the beam fell off and rusted rebar were exposed, and some of the slabs were severely damaged, making it difficult for workers to access the structure. Therefore, it is not possible to apply a mechanical demolition method in which heavy equipment enters the interior of the building, and an explosive demolition method was applied to allow the building to be demolished without dismantling the internal facilities of the building. The order of blasting proceeded in the order of (1) building ${\rightarrow}$ (2) chimney 2 ${\rightarrow}$ (3) chimney 1. A total of 406 electronic detonators (Unitronic 600) was used to sequentially initiate the explosives installed at appropriate in building and chimneys.

A Comparative study on the Disaster Preparedness, Ego-resilience and Disaster Stress by Disaster-related Characteristics of Korean Adults (한국 성인의 재난관련 특성에 따른 재난대비, 자아탄력성과 재난스트레스 비교 연구)

  • Han, Suk Jung;Kwon, Myung Soon
    • Journal of Korean Public Health Nursing
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    • 제33권1호
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    • pp.5-19
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    • 2019
  • Purpose: This study conducted to determine if people perceive differences in disaster preparedness, ego-resilience and disaster stress according to their perception of risk and disaster safety, safety of residence, disaster experience and disaster education experience. Methods: A total of 1,000 subjects voluntarily participated in a nationwide online survey. Data obtained were evaluated using the t-test and ANOVA. Results: The average scores were $2.66{\pm}0.73$, $2.64{\pm}0.81$, $2.89{\pm}0.85$, and $3.62{\pm}0.66$ out of 5 points for -the risk of disaster, disaster safety, safety of residence and interest in disaster, respectively. For 18.6% of the subjects who reported having experience with disaster, fine dust was the most common disaster experienced. Moreover, 50.1% of respondents reported earthquake was the most likely disaster. The disaster preparedness score was $4.91{\pm}3.75$ out of 16 points, ego resilience was $3.38{\pm}0.53$ out of 5 points, and disaster stress was $5.61{\pm}1.77$ out of 10 points. There were significant differences in disaster preparedness, ego-resilience and disaster stress depending on subjects' perception of safety or interest in disaster and their experiences or education regarding disaster. Conclusion: Our results suggest that it is necessary to increase awareness of disaster and to prepare a plan for persistent and systematic disaster education.

Increase of Cardiometabolic Biomarkers Among Vehicle Inspectors Exposed to PM0.25 and Compositions

  • Ramdhan, Doni Hikmat;Kurniasari, Fitri;Tejamaya, Mila;Fitri, Aidila;Indriani, Aisyah;Kusumawardhani, Adinda;Santoso, Muhayatun
    • Safety and Health at Work
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    • 제12권1호
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    • pp.114-118
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    • 2021
  • Background: Exposure to particulate matter (PM) emitted from vehicle exhaust might disrupt systemic function and elevate the risk of cardiovascular disease. In this study, we examined the changes of cardiometabolic biomarkers among vehicle inspectors exposed daily to PM0.25 and components. Methods: This cross-sectional study was conducted at two vehicle inspection centers, Pulogadung and Ujung Menteng, located in East Jakarta, Indonesia. The exposed respondents were 43 workers from vehicle inspection centers, and the unexposed group consisted of 22 staff officers working in the same locations. Vehicle exhaust particulate matter was measured for eight hours using a Leland Legacy personal pump attached to a Sioutas Cascade Impactor. The used filters were 25 and 37-mm quartz filters. The particulate matter concentration was analyzed using a gravimetric method, whereas trace elements were analyzed using energy dispersive X-ray fluorescence. An EEL Smoke Stain Reflectometer analyzed black carbon. Results: The personal exposure concentrations of PM0.25 were 10.4-fold higher than those in unexposed groups. Calcium and sulfur were the major components in the obtained dust, and their levels were 3.3- and 7.2-fold higher, respectively, in the exposed group. Based on an independent-samples t-test, high-density lipoprotein, triglyceride, HbA1c, total immunoglobulin E, high-sensitivity C-reactive protein, tumor necrosis factor-alpha, and nitric oxide levels were significantly different between the groups. Conclusions: In summary, it was suggested that PM0.25 exposure from vehicle exhaust might affect cardiometabolic biomarkers change.

Evaluation of Internal through Analysis of Airflow and Ventilation of Coal Storage Shed (옥내저탄장 기류 흐름 및 환기량 분석을 통한 내부 유동 평가)

  • Jo, Hyun-Joung;Lee, Jin-Hong
    • Journal of Environmental Impact Assessment
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    • 제31권5호
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    • pp.334-342
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    • 2022
  • The stringent air environment conservation act forced to build an indoor dome for coal storage. However, it causes some problems due to accumulation of fly ash and harmful substances inside. To solve this problem, this study analyzed the pattern of internal airflow and the amount of ventilation for an indoor coal yard. Overall, the airflow inside the indoor coal yard tended to move to the southwest facing the mountain. In addition, sea-breeze was blowing from the northern louver window facing the sea, where airflow was flowing in. The total flow rate flowing into the indoor coal yard was 918,691 m3/h, and the number of natural ventilation per hour was 0.6 times. Therefore, it is proposed to install a forced ventilation device at the location where internal air flow is concentrated.

A Study on Prediction of On-line Type Pulse Air Jet Bag Filter Effective Pulsing Distance (연속탈진형 충격기류식 여과집진장치의 여과포 유효탈진거리 예측)

  • Jeong-Sam Son;Jeong-Min Suh;Jeong-Ho Park
    • Journal of Environmental Science International
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    • 제32권8호
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    • pp.555-561
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    • 2023
  • A study is to predict the effective pulsing distance following to the pulsing pressure, nozzle diameter, filtration velocity using numercial analysis techniques and use it as an efficient operation condition and economic data for on-line type pulse air jet bag filter. Filtration area 6 m2 condition, calculate filter resistance coefficient for simulation through the primary experiments using coke dust. For CFD simulation, analysis pulsing characteristics about nozzle diameter, filtration velocity and pulsing pressure. The maximum pulsing length of on-line type pulse air jet bag filter, in 10mm nozzle, filtration velocity 1.5m/min and pulsing pressure 5 bar conditions, is 2,285 mm, maximum length is 76.2% of the total filter bag, which is sufficient to pulsing. In 12mm nozzle, pulsing pressure 5 bar and filtration area 1.22 m2 conditions, the maximum pulsing length of on-line type pulse air jet bag filter is 1,744~2,952 mm, and the maximum length is 2,952 mm indicates pulsing air can be reached to the bottom of filter bag. When the nozzle diameter is increased 8mm to 10mm, maximum pulsing length is extended 40~47%, and increased 10mm to 12 mm, maximum pulsing length is extended 10~17%. For effective pulsing, over the 5bar of pulsing pressure and larger than 10 mm of nozzle diameter are required.

A Study on the Distribution Characteristics and Countermeasures of Concentrations of Ambient PM10 and PM2.5 in Yangju, South Korea

  • Dohun Lim;Yoonjin Lee
    • Economic and Environmental Geology
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    • 제55권6호
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    • pp.701-716
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    • 2022
  • This study investigated the distribution behaviors of PM2.5 and PM10 at two air quality monitoring sites, Go-eup (GO) and Backseokeup (BS), located in Yangju City, South Korea. The amounts of emissions sources of pollutants were analyzed based on the Clean Air Policy Support System (CAPSS), and the contribution rates of neighboring cities were enumerated in Yangju. Yangju has a geological basin structure, and it is a city with mixed urban and rural characteristics. The emission concentration of particulate matter was affected by geological and seasonal factors for all sites observed in this study. Therefore, these factors should be considered when establishing policies related to particulate matter. Because the official GO and BS station sites in Yangju are both situated in the southern part of the city, the representativeness of both stations was checked using correlation analysis for the measurement of PM2.5 and PM10 by considering two more sites-those of Bongyang-dong (BY) and the Gumjun (GJ) industrial complex. The data included discharge amounts for business types 4 and 5, which were not sufficiently considered in the CAPSS estimates. Because the 4 and 5 types of businesses represent over 92.6% of businesses in this city, they are workplaces in Yangju that have a significant effect on the total air pollutant emission. These types of businesses should be re-inspected as the main discharge sources in industry, and basic data accumulation should be carried out. Moreover, to manage the emission of particulate matter, attainable countermeasures for the main sources of these emissions should be prepared in a prioritized fashion; such countermeasures include prohibition of backyard burning, supervision of charcoal kilns, and management of livestock excretions and fugitive dust in construction sites and on roads. The contribution rates by neighboring cities was enumerated between 6.3% and 10.9% for PM2.5. Cooperation policies are thought to be required with neighboring cites to reduce particulate matter.

Machine Learning-based hydrogen charging station energy demand prediction model (머신러닝 기반 수소 충전소 에너지 수요 예측 모델)

  • MinWoo Hwang;Yerim Ha;Sanguk Park
    • Journal of Internet Computing and Services
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    • 제24권2호
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    • pp.47-56
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    • 2023
  • Hydrogen energy is an eco-friendly energy that produces heat and electricity with high energy efficiency and does not emit harmful substances such as greenhouse gases and fine dust. In particular, smart hydrogen energy is an economical, sustainable, and safe future smart hydrogen energy service, which means a service that stably operates based on 'data' by digitally integrating hydrogen energy infrastructure. In this paper, in order to implement a data-based hydrogen charging station demand forecasting model, three hydrogen charging stations (Chuncheon, Sokcho, Pyeongchang) installed in Gangwon-do were selected, supply and demand data of hydrogen charging stations were secured, and 7 machine learning and deep learning algorithms were used. was selected to learn a model with a total of 27 types of input data (weather data + demand for hydrogen charging stations), and the model was evaluated with root mean square error (RMSE). Through this, this paper proposes a machine learning-based hydrogen charging station energy demand prediction model for optimal hydrogen energy supply and demand.

A Study on the Improvement of Comfortable Living Environment by Using real-time Sensors

  • KIM, Chang-Mo;KIM, Ik-Soo;SHIN, Deok-Young;LEE, Hee-Sun;KWON, Seung-Mi;SHIN, Jin-Ho;SHIN, YongSeung
    • Journal of Wellbeing Management and Applied Psychology
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    • 제5권4호
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    • pp.19-31
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    • 2022
  • Purpose: This study was conducted to identify indoor air quality in various living spaces using sensors that can measure noise, vibration, fine dust, and odor in real time and to propose optimal indoor air quality maintenance management using Internet of Things(IoT). Research design, data and methodology: Using real-time sensors to monitor physical factors and environmental air pollutants that affect the comfort of the residential environment, Noise, Vibration, Atmospheric Pressure, Blue Light, Formaldehyde, Hydrogen Sulfide, Illumination, Temperature, Ozone, PM10, Aldehyde, Amine, LVOCs and TVOCs were measured. It were measured every 1 seconds from 4 offices and 4 stores on a small scale from November 2018 to January 2019. Results: The difference between illuminance and blue light for each measuring point was found to depend on lighting time, and the ratio of blue light in total illumination was 0.358 ~ 0.393. Formaldehyde and hydrogen sulphide were found to be higher than those that temporarily attract people in an indoor office space that is constantly active, requiring office air ventilation. The noise was found to be 50dB higher than the office WHO recommendation noise level of 35 ~ 40dB. The most important factors for indoor environmental quality were temperature> humidity> illumination> blue light in turn. Conclusions: Various factors that determine the comfort of indoor living space can be measured with real-time sensors. Further, it is judged that the use of IoT can help maintain indoor air quality comfortably.

A Study on the Optimal Generation Conditions of Micro-Droplet in Electrostatic Spray Indirect Charging Method (정전 분무 간접 하전 방식에서 미세액적 최적 발생 조건에 관한 연구)

  • Jihee Lee;Sunghwan Kim;Haiyoung Jung
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • 제37권1호
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    • pp.79-87
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    • 2024
  • This paper is a study on the optimal microdroplet generation conditions in indirect charging electrostatic spraying. Unlike the direct charging method, which applies power to the nozzle, the indirect charging method applies power to the discharge electrode between the nozzle and the collection electrode. Therefore, an electrically simplified system can be obtained by minimizing the insulation part a stable spray pattern can be obtained with a wide spray angle, and a stable spray pattern can be obtained with a wide spray angle. To conduct the study, an indirect charging type electrostatic spray visualization system was constructed and the static characteristics of the microdroplets were analyzed through image processing of the spray shape of the microdroplets. The total number of microdroplets and the number of microdroplets per power consumption are confirmed according to the changes in the distance between the discharge electrode and the collection electrode, the flow rate, and the applied voltage, which affect the generation of microdroplets, and using this, the optimal generation conditions are derived and the corresponding microdroplet size distribution was analyzed. As a result of the experiment, it was confirmed that the optimal generation condition was at a flow rate of 15 to 20 mL/min and a voltage of -22.5 to -25 kV in terms of the number of microdroplets, and at a flow rate of 15 to 20 mL/min and a voltage of -20 kV in terms of energy consumption efficiency.