• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.1
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• pp.57-64
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• 2020

Recently, due to the proliferation of IoT sensors, the development of big data and artificial intelligence, time series prediction research on fine dust pollution is actively conducted. However, because the data representing fine dust contamination changes rapidly, traditional time series prediction methods do not provide a level of accuracy that can be used in the field. In this paper, we propose a method that reflects the classification results of environmental conditions through CNN when predicting micro dust contamination using LSTM. Although LSTM and CNN are independent, they are integrated into one network through the interface, so this method is easier to understand than the application LSTM. In the verification experiments of the proposed method using Beijing PM2.5 data, the prediction accuracy and predictive power for the timing of change were consistently improved in various experimental cases.

• Korean Chemical Engineering Research
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• v.61 no.3
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• pp.401-406
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• 2023

With the development of industry, fine dust is causing difficulties in various fields such as environment, health, and life, and a large amount of pollutants generated from human social activities are emerging as a serious environmental problem due to air pollution. Therefore, in this study, activated carbon was added to remove fine dust and volatile organic compounds by spinning cellulose acetate polymer fibers on a silicon support using the electrospinning method. By varying the activated carbon ratio and electrospinning time, the fine dust blocking effect and toluene adsorption performance were confirmed according to the activated carbon ratio and filter thickness. As a result, it was shown that the particles were effectively blocked with the increase in the electrospinning time due to the filter thickness increase. Adsorbed amount of toluene was increased with increase in activated carbon amount. Light transmittance was decrease with increase in electrospinning time, showing that there were light transmittance in filters electrospun for 20~30 minutes.

• The Korea Journal of Herbology
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• v.38 no.4
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• pp.45-52
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• 2023

Objectives : Fine dust caused by environmental pollution cause oxidative damage and skin aging. In this study, The possibility of using the Codium fragile extract (CFE) as an anti-aging product for skin improvement was evaluated by confirming the protective effect of skin cells from PM10 (particulate matter 10) through inhibition of ROS and MMPs. Methods : In this study, elastase and collagenase inhibitory activities were evaluated. Cell viability was evaluated by treating keratinocytes (HaCaT cell line) with CFE at various concentrations. The cytoprotective effect from PM10 in keratinocyteswas evaluated using the 3-[4,5-dimethylthiazol]-2-yl]-2,5-diphenyl-tetrazoliumbromide (MTT) assay. ROS (reactive oxygen species) was measured in keratinocytes damaged by PM10 using DCF-DA (2′,7′-dichlorofluorescin diacetate) fluorescence staining. As an anti-aging effect of CFE, MMP-1 (matrix metalloproteinase-1) and MMP-1 (matrix metalloproteinase-9) inhibitory activities were evaluated. Results : As a result, CFE decreased the activity of elastase and collagenase. As a result of evaluating the toxicity of CFE, it is non-toxic at a concentration of 10 to 80 ㎍/㎖. Although cell viability of HaCaT cells treated with PM10 decreased, cell viability increased by 38% when treated with CFE 80 ㎍/㎖. Also, ROS decreased by 8.4%, and MMP-1 and MMP-9 decreased at CFE 80 ㎍/㎖. Conclusions : CFE showed excellent cell protection effect, and it is considered that it can be used in anti-aging products for skin improvement by effectively inhibiting ROS and MMPs from keratinocyte damage caused by fine dust.

• Journal of the Korean Recycled Construction Resources Institute
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• v.11 no.4
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• pp.299-306
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• 2023

Environmental pollution problems are occurring due to the negative treatment of basalt waste in Jeju Island. This study identifies the characteristics of permeable block with basalt with physical and chemical adsorption mechanisms and examines their applicability and functionality as building materials. This experiment is basic data for evaluating the functionality of the permeable block by analyzing flexural strength, compressive strength, permeability coefficient, carbon dioxide, and fine dust adsorption rate by producing a permeable block using a basalt waste rock. As the basalt waste stone replacement rate increased, the flexural strength and compressive strength tended to decrease, and as the replacement rate increased, the water permeability coefficient, absorption rate, carbon dioxide, and fine dust adsorption rate tended to increase. Therefore, it is judged that the permeable block using the basalt waste rock is superior to the existing permeable block.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2020.08a
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• pp.78-78
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• 2020

This study aimed to discover functional materials derived from resources, which can improve the troublesome symptoms of a bronchus by improving bronchial hyperresponsiveness as air pollution in Korea caused by fine dust and yellow dust is getting worse. Of natural resources grown naturally in Korea, Chrysanthemum morifolium(CM), and Scutellaria baicalensis(SB) have been used as a safe raw material for drinking or medicine for a long time, and it has been found that a combination of CS73 can improve bronchial health function in experimental animal models. Analysis of serum of animal models with asthma induced by ovalbumin (chicken egg albumin) and analysis of cytokine production in BALF (Bronchoalveolar lavage fluid) showed that inflammatory indices IL-1β, IL-4, IL-5, IL-6, IL-10, IL-13, IL-17A, IL-17F, and IL-17E were significantly reduced and that respective production of IL-2 and IFN-γ was significantly increased in the group taking extracts from CS73 when compared with the control group. These results suggested that the combination of CS73 could be used as a natural treatment for asthma. In addition, in the animal models that the combination of CS73 significantly decreased the respective production of IgE, histamine and TSLP when compared with the control group. In experimental models, the ratio of Chrysanthemum morifolium to Scutellaria baicalensis of 7 : 3 had more excellent effect than other combined experimental groups, which suggests that the above combination can be developed as a natural treatment for asthma and is valuable as a pharmaceutical composition with an effect of improving bronchial health, capable of contributing to the public health threatened by fine dust.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.34 no.2
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• pp.115-124
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• 2024

Objectives: The aim of this study is to assess indoor air quality within and around buildings and evaluate the health risks associated with exposure to indoor air pollution. The study compares IAQ standards established by the World Health Organization with those set by South Korea's Ministry of Environment and Ministry of Education. Methods: The study utilized an Anderson Sampler and DustTrak^TM II to collect samples of total airborne bacteria and PM in indoor and outdoor environments. Collected samples were analyzed using biological and biochemical methods. Statistical analysis was conducted using SPSS to examine the correlation between airborne bacteria and PM. Results: The study revealed that the concentration of total airborne bacteria in indoor air generally remained below the Ministry of Environment's standard of 800 CFU/m³, although it surpassed this threshold in certain instances. PM concentrations did not exceed the standards. Indoor fine dust concentration was higher when there were people (P<0.05). There was no difference in total floating bacterial concentrations between indoor and outdoor environments (P=0.184). Finally, there was a correlation between fine dust and airborne bacteria concentrations. Conclusion: The study evaluated the concentrations of total airborne bacteria and PM in indoor air, emphasizing the importance of managing IAQ. Further research in various environments is essential to ensure a healthy indoor environment. The findings underscore the need for ongoing research and management to enhance IAQ and create safer and healthier living environments.

• Journal of Environmental Science International
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• v.19 no.8
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• pp.971-981
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• 2010

The objectives of this study were to measure ambient total gaseous mercury (TGM) concentrations in Seoul, to analyze the characteristics of TGM concentration, and to identify of possible source areas for TGM using back-trajectory based hybrid receptor models like PSCF (Potential Source Contribution Function) and RTWC (Residence Time Weighted Concentration). Ambient TGM concentrations were measured at the roof of Graduate School of Public Health building in Seoul for a period of January to October 2004. Average TGM concentration was $3.43{\pm}1.17\;ng/m^3$. TGM had no notable pattern according to season and meteorological phenomena such as rainfall, Asian dust, relative humidity and so on. Hybrid receptor models incorporating backward trajectories including potential source contribution function (PSCF) and residence time weighted concentration (RTWC) were performed to identify source areas of TGM. Before hybrid receptor models were applied for TGM, we analysed sensitivities of starting height for HYSPLIT model and critical value for PSCF. According to result of sensitivity analysis, trajectories were calculated an arrival height of 1000 m was used at the receptor location and PSCF was applied using average concentration as criterion value for TGM. Using PSCF and RTWC, central and eastern Chinese industrial areas and the west coast of Korea were determined as important source areas. Statistical analysis between TGM and GEIA grided emission bolsters the evidence that these models could be effective tools to identify possible source area and source contribution.

• Economic and Environmental Geology
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• v.29 no.1
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• pp.87-103
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• 1996

The purposes of this research are to investigate the pollution level of heavy metals due to the urbanization and industrialization in the satellite cities of Seoul, and to assess the chemical species and the sources of heavy metals in highly contaminated soils and dusts. Soil and dust samples were collected from the Uijeongbu and the Koyang cities, which are northern and the northwestern satellite cities of Seoul metropolitan city, respectively. Relatively high pH values($6.3{\sim}9.9$) were found in roadside soils compared with agricultural and forest soils. Difference in pH values of soils was not identified between before and after rainy seasons. In spite of no specific pollution sources in the above cities, the contents of Cu, Pb, and Zn in soils and dusts were much higher than the world average contents. The metal levels in dusts were higher than those in soils, but the metal concentration in dusts was significantly decreased after rainy season. Pollution index was high(> 1.0) in the areas of heavy traffic, industrial complex, and city centres. There is an appreciable proportion of total Zn in exchangeable/water-acid soluble fraction. Copper is predominantly associated with reducible and oxidizable phases, whereas Pb is largely in reducible association. It is concluded that the mobility and bioavailability of metals are high in the order of Zn >> Cu > Pb, on the basis of characteristic particle morphology and chemical composition, Pb-containing particles are originated probably from the automobile exhaust, particularly in heavy traffic areas. The metallic forms and iron-oxide associated forms of Cr, Ni, Cu, Zn, and Pb can be assessed as industrial origin.

• Journal of Korean Elementary Science Education
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• v.28 no.2
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• pp.142-153
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• 2009

The purpose of this study was to survey primary students' perception of the global and local environmental issues. The subjects were 853 fifth primary students in Seoul, Busan, Daejeon, Anyang, Gimpo and Cheongju. The results were as follows: First, the perception level of the global environmental issues were global warming (M=3.99), drinking-water pollution (M=3.92), acid rain (M=3.77), yellow dust (M=3.66), ozone depletion (M=3.57), deforestation in tropical areas (M=3.52), desertification (M=3.36), biodiversity (M=3.40) and their perception level of local environmental issues were waste disposal (M=3.87), air pollution (M=3.74), bad smell (M=3.70), noise (M=3.61), river pollution (M=3.57), soil pollution (M=3.44). Second, it was shown that the metropolitan students' perception levels of environmental issues were higher than the non-metropolitan students'. There wasn't a significant difference in the perception levels of two scale environmental issues and characteristics for sex (p>.05). Third, the result of analyzing on the effects between characteristics was that the factors like 'environmental interest' and 'impact on personal life' had a strong influence on the 'behavior will' to solve the global environmental issues, and 'environmental interest' and 'personal knowledge' had a strong influence on the 'behavior will' to solve the local environmental issues. Fourth, the result of analyzing on the characteristics according to the types of the environmental issues showed that 'personal knowledge', 'environmental interest' and 'behavior will' were high in the global environmental issues (p<.01) and 'virtual contamination', 'human responsibility' and 'impact on personal life' were high in the local environmental issues (p<.05).

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.1
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• pp.181-187
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• 2021

Recently, various air pollution factors have been measured and analyzed to reduce damages caused by it. In this process, many missing values occur due to various causes. To compensate for this, basically a vast amount of training data is required. This paper proposes a statistical techniques that effectively compensates for missing values generated in the process of measuring ozone, carbon dioxide, and ultra-fine dust using a small amount of learning data. The proposed algorithm first extracts a group of meteorological data that is expected to have positive effects on the correction of missing values through statistical information analysis such as the correlation between meteorological data and air pollution level factors, p-value, etc. It is a technique that efficiently and effectively compensates for missing values by analyzing them. In order to confirm the performance of the proposed algorithm, we analyze its characteristics through various experiments and compare the performance of the well-known representative algorithms with ours.