• Title/Summary/Keyword: DISPERSION

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Microbial Metagenome of Airborne Particulate Matter: Methodology, Characteristics, and Influencing Parameters (대기입자상물질의미생물메타게놈: 분석방법, 특성및영향인자)

  • Kang, Sookyung;Cho, Kyung-Suk
    • Microbiology and Biotechnology Letters
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    • v.50 no.2
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    • pp.165-192
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    • 2022
  • The microbial metagenome characteristics of bioaerosols and particulate matter (PM) in the outdoor atmospheric environment and the effects of climate and environmental factors on the metagenome were analyzed. The concentrations of bacteria and fungi in bioaerosols and PM were determined by sampling different regions with different environmental properties. A variety of culture-independent methods were used to analyze the microbial metagenome in aerosols and PM samples. In addition, the effects of meteorological and environmental factors on the diversity and metagenomes of bacteria and fungi were investigated. The survival, growth, and dispersal of the microorganisms in the atmosphere were markedly affected by local weather conditions and the air pollutant concentration. The concentration of airborne microorganisms increased as the temperature increased, but their concentration decreased in summer, due to the effects of high temperatures and strong ultraviolet rays. Humidity and microbial concentration were positively correlated, but when the humidity was too high, the dispersion of airborne microorganisms was inhibited. These comprehensive data on the microbial metagenome in bioaerosols and PM may be used to understand the roles and functions of microorganisms in the atmosphere, and to develop strategies and abatement techniques to address the environmental and public health problems caused by these microorganisms.

Optimization of Briquette Manufacturing Conditions Using Steel Sludge (제강슬러지를 이용한 브리켓 제조 조건 최적화 연구)

  • Lee, Dong Soo;Chae, Hui Gwon;Park, Tae Jun
    • Resources Recycling
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    • v.31 no.4
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    • pp.12-18
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    • 2022
  • Korea depends on the import of raw materials such as iron ore and coal for the steel industry. These raw materials have a major impact on the cost, productivity, and quality competitiveness in the global steel industry. To secure the competitiveness of steel companies, it is necessary to reduce the country's dependence on raw materials. This can be achieved using byproducts with a high Fe content, which are primarily generated by the steel industry. These byproducts are available in the form of a very fine powder, which can disperse as dust when used directly in plant processes. Dust dispersion has a negative impact on the environment and can lead to the loss of raw materials. To enable the use of a wide range of Fe-containing byproducts, it is necessary to pretreat them in the form of larger aggregates such as pellets and briquettes. There are several methods to achieve such aggregates. There are two ways to produce briquettes: using a hot briquette, which supplies additional heat to produce briquettes, or using a cold briquette, which does not use heat. A method for producing cold briquettes using Fe-containing byproducts was investigated in this study. The yield ratio and briquette strength were examined under various manufacturing conditions.

Experimental Study on the Reological Properties of Carbon Nano Materials as Cement Composites (탄소계 나노소재를 적용한 시멘트 페이스트 복합체의 유변학적 특성에 대한 연구)

  • Kim, Won-Woo;Moon, Jae-Heum;Yang, Keun-Hyeok
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.10 no.3
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    • pp.227-234
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    • 2022
  • In this study, the rheological properties of cement paste composites applied with carbon-based nano-materials were experimental analyzed. Flow table and rheological properties, compressive strength were measured in the cement paste using graphene oxide asqueous solution and carbon nanotube aqueous solution. When carbon nano-materials was mixed in an aqueous solution, flow decreased and plastic viscosity and shear stress were increased. In particular, graphene oxide rapidly increased the plastic viscosity and shear stress. In the case of carbon nanotube aqueous solution, when less than 0.2 % was mixed, the increase rate was low compared to graphene oxide. This is because the specific surface area of graphene, which is in the form of a plate, is large. The compressive strength showed a small amount in strength increase when graphene mix, and CNT had a strength about 112 % of OPC. Carbon-based nanomaterials, is considered that CNT are suitable more to be used construction materials. However, extra studies on the surfactant to be used for mixing proportion and dispersion will be needed.

Characteristics and Strategies Shown in the Development of the History of Musical Styles - Focused on the Perspective of Integration and Deconstruction - (뮤지컬 양식사 전개에 나타난 특성과 전략 - 통합과 해체의 관점을 중심으로 -)

  • Lee, Eun-Hye
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.7
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    • pp.251-262
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    • 2020
  • The purpose of this study is to analyze musical styles emerging in modern musical history from the perspective of integration and deconstruction, and to academically investigate the characteristics contained in each style. The style of musicals can be divided into periods of non-integrity, integration, deconstruction, and convergence. The rise of musical styles and the associated meanings can be studied from the perspective of modernism and postmodernism. In modernism, the energies of 'integration' and 'concentration' form the major trend while in early postmodernism, the powers of 'deconstruction' and 'dispersion' play the main role. Late postmodernism is a dialectic result of both trends in which the philosophy of 'convergence' and 'harmony' operates as the main theme. The principle of integration and deconstruction, which forms the base of musical creation, emerged after the development of the unstable style of non-integrity in the early days of musical. Later, with the advent of Rogers and Hammerstein II, the principle of integration was established for book musicals, emphasizing the linearity of drama, and the principle of deconstruction was born for concept musicals to contain new contents. The 'convergence' found in later musical works turn the theme from non-integrity to integration, and from deconstruction to integration again, which indicates that integration is embracing the concept of deconstruction again in a more advanced sense. Such convergent compromise that constantly influences each other and develops in a better direction can contribute to the development of musical styles.

Properties of Smart Vapor Self-Releasing Composite Films to Microwave Packaging (증기 자가방출 스마트 전자레인지 포장재 적용을 위한 복합필름 특성연구)

  • Wooseok, Song;Hojun, Shin;Jongchul, Seo
    • KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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    • v.28 no.3
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    • pp.157-163
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    • 2022
  • The demands for Home Meal Replacement (HMR) products are continuously increasing owing to the convenience of instant food and online food delivery. Ready-to-heat (RTH) products have received massive attention in the HMR industry because these products can be easily warmed using a microwave oven. However, the conventional microwave packaging should be opened before microwave heating to prevent bursting or food loss owing to the steam-pressure build-up inside the package. Open packaging might lead to non-uniform food heating and cross-contamination. Therefore, packaging materials that are able to release steam without opening are of interest to the HMR industry. In this study, polylactic acid(PLA)/polyethylene glycol(PEG)/nanoclay composite films were manufactured using an extrusion method as packaging materials with a smart steam-releasing function. The introduction of PEG to the PLA imparted a steam self-releasing feature to the composite films owing to the morphology change of composite films during microwave heating. Further, PEG increased the ductility of PLA, which in turn prevented bursting caused due to the steam-pressure build-up. The uniform dispersion of nanoclay obtained by a twin-screw extrusion led to stronger mechanical properties. Therefore, the smart composite films developed here can be applied as microwave packaging materials with a self-releasing function.

Effects of the Subgrid-Scale Orography Parameterization and High-Resolution Surface Data on the Simulated Wind Fields in the WRF Model under the Different Synoptic-Scale Environment (종관 환경 변화에 따른 아격자 산악모수화와 고해상도 지면 자료가 WRF 모델의 바람장 모의에 미치는 영향)

  • Lee, Hyeon-Ji;Kim, Ki-Byung;Lee, Junhong;Shin, Hyeyum Hailey;Chang, Eun-Chul;Lim, Jong-Myoung;Lim, Kyo-Sun Sunny
    • Atmosphere
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    • v.32 no.2
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    • pp.103-118
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    • 2022
  • This study evaluates the simulated meteorological fields with a particular focus on the low-level wind, which plays an important role in air pollutants dispersion, under the varying synoptic environment. Additionally, the effects of subgrid-scale orography parameterization and improved topography/land-use data on the simulated low-level wind is investigated. The WRF model version 4.1.3 is utilized to simulate two cases that were affected by different synoptic environments. One case from 2 to 6 April 2012 presents the substantial low-level wind speed over the Korean peninsula where the synoptic environment is characterized by the baroclinic instability. The other case from 14 to 18 April 2012 presents the relatively weak low-level wind speed and distinct diurnal cycle of low-level meteorological fields. The control simulations of both cases represent the systematic overestimation of the low-level wind speed. The positive bias for the case under the baroclinic instability is considerably alleviated by applying the subgrid-scale orography parameterization. However, the improvement of wind speed for the other case showing relatively weak low-level wind speed is not significant. Applying the high-resolution topography and land-use data also improves the simulated wind speed by reducing the positive bias. Our analysis shows that the increased roughness length in the high-resolution topography and land-use data is the key contributor that reduces the simulated wind speed. The simulated wind direction is also improved with the high-resolution data for both cases. Overall, our study indicates that wind forecasts can be improved through the application of the subgrid-scale orography parameterization and high-resolution topography/land-use data.

Evaluation of the Bending Properties of Glulam with Different Cross-Section (집성재 단면구성에 따른 휨성능 평가)

  • Lee, Jun-Jae;Kim, Kwang-Mo;Han, Jae-Su;Kim, Jae-Keon
    • Journal of the Korean Wood Science and Technology
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    • v.31 no.5
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    • pp.65-71
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    • 2003
  • In this paper, bending capacities of glulams with different configurations of cross-section were evaluated. These configurations included horizontal(BH), vertical(BVN), vertical with vertical plywood (BVV) and vertical combination of lamination with horizontal plywood(BVH). Full-scale bending tests were performed to investigate the effect of different section configurations on bending strength(MOR) and stiffness(MOE) of glulam. Compared with type BH, MOR of glulam with type BVN configuration was improved about 23%, which was considered to be caused by defect dispersion effect, while MOE of glulams with these two types of configurations were similar. Because MOE of plywood is generally smaller than that of solid wood laminar, MOE of type BVH glulam decreased about 15%, but in the case of type BVV glulam, MOR was improved without any reduction of MOE. The reason of this result could be undersood in the view of shear-reinforcement effect, which was verified from analysis of fracture mode. From the results of this study, it was concluded that bending capacity of glulam could be improved by proper section design, such as laminar arrangement and shear reinforcement.

A Study on the Application of Machine Learning in Literary Texts - Focusing on Rule Selection for Speaker Directive Analysis - (문학 텍스트의 머신러닝 활용방안 연구 - 화자 지시어 분석을 위한 규칙 선별을 중심으로 -)

  • Kwon, Kyoungah;Ko, Ilju;Lee, Insung
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.313-323
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    • 2021
  • The purpose of this study is to propose rules that can identify the speaker referred by the speaker directive in the text for the realization of a machine learning-based virtual character using a literary text. Through previous studies, we found that when applying literary texts to machine learning, the machine did not properly discriminate the speaker without any specific rules for the analysis of speaker directives such as other names, nicknames, pronouns, and so on. As a way to solve this problem, this study proposes 'nine rules for finding a speaker indicated by speaker directives (including pronouns)': location, distance, pronouns, preparatory subject/preparatory object, quotations, number of speakers, non-characters directives, word compound form, dispersion of speaker names. In order to utilize characters within a literary text as virtual ones, the learning text must be presented in a machine-comprehensible way. We expect that the rules suggested in this study will reduce trial and error that may occur when using literary texts for machine learning, and enable smooth learning to produce qualitatively excellent learning results.

Spatial Distribution Pattern of Patches of Erythronium japonicum at Mt. Geumjeong in Korea (한국 금정산에 븐포하고 있는 얼레지의 공간적 분포 양상과 집단 구조)

  • Man Kyu Huh
    • Journal of Life Science
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    • v.33 no.3
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    • pp.227-233
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    • 2023
  • The purpose of this paper was to describe a statistical analysis for the spatial distribution of geographical distances of Erythronium japonicum at Mt. Geumjeong in Korea. The spatial pattern of E. japonicum was analyzed according to the nearest neighbor rule, population aggregation under different plot sizes by dispersion indices, and spatial autocorrelation. Most natural plots of E. japonicum were uniformly distributed in the forest community. Disturbed plots were aggregately distributed within 5 m × 5 m of one another. Neighboring patches of E. japonicum were predominantly 7.5~10 m apart on average. If the natural populations of E. japonicum were disturbed by human activities, then the aggregation occurred in a shorter distance than the 7.5~10 m distance scale. The Morisita index (IM) is related to the patchiness index (PAI) that showed the 2.5 m × 5 m plot had an overly steep slope at the west and south areas when the area was smaller than 5 m × 5 m. When the patch size was one 2.5 m × 5 m quadrat at the west distributed area of Mt. Geumjeong, the cluster was determined by both species characteristics and environmental factors. The comparison of Moran's I values to a logistic regression indicated that individuals in E. japonicum populations at Mt. Geumjeong could be explained by isolation by distance.

Probabilistic Safety Assessment of Gas Plant Using Fault Tree-based Bayesian Network (고장수목 기반 베이지안 네트워크를 이용한 가스 플랜트 시스템의 확률론적 안전성 평가)

  • Se-Hyeok Lee;Changuk Mun;Sangki Park;Jeong-Rae Cho;Junho Song
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.36 no.4
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    • pp.273-282
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    • 2023
  • Probabilistic safety assessment (PSA) has been widely used to evaluate the seismic risk of nuclear power plants (NPPs). However, studies on seismic PSA for process plants, such as gas plants, oil refineries, and chemical plants, have been scarce. This is because the major disasters to which these process plants are vulnerable include explosions, fires, and release (or dispersion) of toxic chemicals. However, seismic PSA is essential for the plants located in regions with significant earthquake risks. Seismic PSA entails probabilistic seismic hazard analysis (PSHA), event tree analysis (ETA), fault tree analysis (FTA), and fragility analysis for the structures and essential equipment items. Among those analyses, ETA can depict the accident sequence for core damage, which is the worst disaster and top event concerning NPPs. However, there is no general top event with regard to process plants. Therefore, PSA cannot be directly applied to process plants. Moreover, there is a paucity of studies on developing fragility curves for various equipment. This paper introduces PSA for gas plants based on FTA, which is then transformed into Bayesian network, that is, a probabilistic graph model that can aid risk-informed decision-making. Finally, the proposed method is applied to a gas plant, and several decision-making cases are demonstrated.