• Title/Summary/Keyword: Chemical disaster

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Elucidation of the Inhibitory Mechanisms of Nipponoparmelia laevior Lichen Extract against Influenza A (H1N1) Virus through Proteomic Analyses

  • Cuong, Tran Van;Cho, Se-Young;Kwon, Joseph;Kim, Duwoon
    • Journal of Microbiology and Biotechnology
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    • v.29 no.7
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    • pp.1155-1164
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    • 2019
  • Lichens contain diverse bioactive secondary metabolites with various chemical and biological properties, which have been widely studied. However, details of the inhibitory mechanisms of their secondary metabolites against influenza A virus (IAV) have not been documented. Here, we investigated the antiviral effect of lichen extracts, obtained from South Korea, against IAV in MDCK cells. Of the lichens tested, Nipponoparmelia laevior (LC24) exhibited the most potent inhibitory effect against IAV infection. LC24 extract significantly increased cell viability, and reduced apoptosis in IAV-infected cells. The LC24 extract also markedly reduced (~ 3.2 log-fold) IAV mRNA expression after 48 h of infection. To understand the antiviral mechanism of LC24 against IAV, proteomic (UPLC-$HDMS^E$) analysis was performed to compare proteome modulation in IAV-infected (V) vs. mock (M) and LC24+IAV (LCV) vs. V cells. Based on Ingenuity Pathway Analysis (IPA), LC24 inhibited IAV infection by modulating several antiviral-related genes and proteins (HSPA4, HSPA5, HSPA8, ANXA1, ANXA2, $HIF-1{\alpha}$, AKT1, MX1, HNRNPH1, HNRNPDL, PDIA3, and VCP) via different signaling pathways, including $HIF-1{\alpha}$ signaling, unfolded protein response, and interferon signaling. These molecules were identified as the specific biomarkers for controlling IAV in vitro and further confirmation of their potential against IAV in vivo is required. Our findings provide a platform for further studies on the application of lichen extracts against IAV.

Assessment of Water Quality Characteristics in the Middle and Upper Watershed of the Geumho River Using Multivariate Statistical Analysis and Watershed Environmental Model (다변량통계분석 및 유역환경모델을 이용한 금호강 중·상류 유역의 수질특성평가)

  • Seo, Youngmin;Kwon, Kooho;Choi, Yun Young;Lee, Byung Joon
    • Journal of Korean Society on Water Environment
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    • v.37 no.6
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    • pp.520-530
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    • 2021
  • Multivariate statistical analysis and an environmental hydrological model were applied for investigating the causes of water pollution and providing best management practices for water quality improvement in urban and agricultural watersheds. Principal component analysis (PCA) and cluster analysis (CA) for water quality time series data show that chemical oxygen demand (COD), total organic carbon (TOC), suspended solids (SS) and total phosphorus (T-P) are classified as non-point source pollutants that are highly correlated with river discharge. Total nitrogen (T-N), which has no correlation with river discharge and inverse relationship with water temperature, behaves like a point source with slow and consistent release. Biochemical oxygen demand (BOD) shows intermediate characteristics between point and non-point source pollutants. The results of the PCA and CA for the spatial water quality data indicate that the cluster 1 of the watersheds was characterized as upstream watersheds with good water quality and high proportion of forest. The cluster 3 shows however indicates the most polluted watersheds with substantial discharge of BOD and nutrients from urban sewage, agricultural and industrial activities. The cluster 2 shows intermediate characteristics between the clusters 1 and 3. The results of hydrological simulation program-Fortran (HSPF) model simulation indicated that the seasonal patterns of BOD, T-N and T-P are affected substantially by agricultural and livestock farming activities, untreated wastewater, and environmental flow. The spatial analysis on the model results indicates that the highly-populated watersheds are the prior contributors to the water quality degradation of the river.

A Study on the Development and Characteristics of Eco-friendly None Alkaline Silica Sol Grouting Material (친환경 비알칼리성 실리카졸 지반주입재의 개발과 특성에 관한 연구)

  • Hyunsang Kang;Daeseouk Chung
    • Journal of the Society of Disaster Information
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    • v.19 no.4
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    • pp.747-756
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    • 2023
  • Purpose: In this study, a grout material mixed using non-alkaline silica-based materials, which is an eco-friendly injection material to stabilize ground, is investigated to improve conventional problems. Method: The homogel specimens of Eco-Friendly Non-Alkaline Silica Sol (ENASS) and L.W. and S.G.R., representative silicate grouting are manufactured. Physicochemical and engineering properties of the specimens are evaluated in laboratory with uniaxial compression strength, hydraulic conductivity, shrinkage, chemical resistance, elution, fish poison, waste leaching. Result: Laboratory test results show that the ENASS was superior in all aspects compared to the existing injection matirial. The suitability of the grout material with ENASS is investigated with filed tests. Conclusion: The results of laboratory and field tests demonstrates that the grout material with ENASS is eco-friendly material that increases the strength, decreases the permeability, and discharges pollutants without leaching.

Design of Daily Training Protocol for Field Crews Wearing Chemical Protective Clothing for Firefighting and Analysis of Activity (소방용 화학보호복 착용 현장대원의 일상 훈련용 프로토콜 설계 및 활동성 분석)

  • Kim, Si-Kuk;Lim, Woo-Sub;Hong, SungChul
    • Fire Science and Engineering
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    • v.32 no.4
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    • pp.110-121
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    • 2018
  • The present article is concerned with a study on the daily training protocol for field crews wearing chemical protection clothing for firefighting and the analysis of activity. To improve coping ability of & secure safety for firefighting crews initially incorporated in the fields of chemical accident & chemical terror, 10 steps in total of daily training protocol have been designed. The designed protocol is largely composed of the extensive activity protocol for daily adaptation of firefighting chemical protection clothing (steps 1, 2, 6, 7 & 9), the precision operation protocol utilizing hands (steps 3, 4 & 5), and the protocol requiring strong physical burdens (steps 8 & 10). According to the measurement results for activity as a result of the protocol, the average maximum heart rate upon wearing the firefighting chemical protection clothing was shown to increase by step 1 20.32%, step 2 18.69%, step 3 25.23%, step 4 34.77%, step 5 27.44%, step 6 30.24%, step 7 25.33%, step 8 22.25%, step 9 22.80% and step 10 20.85% compared with the time of not wearing them. The average maximum breathing rate was shown to increase by step 3 1.92%, step 4 4.11%, step 5 1.24%, step 6 3.95%, step 7 0.93%, step 8 10.23%, step 9 3.36% and step 10 15.10%, except for steps 1 & 2.

A Study on the Decomposition Characteristics of PVC and PS Mixtures with ZnO in Air Atmosphere (공기분위기에서 ZnO를 첨가한 PVC와 PS 혼합물의 분해특성에 관한 연구)

  • Oh, Sea Cheon;Jung, Myung Uk;Jun, Hyun-Chul;Kim, Hee Taik;Lee, Hae Pyeong
    • Applied Chemistry for Engineering
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    • v.17 no.2
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    • pp.229-234
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    • 2006
  • The effect of ZnO in the decomposition of poly(vinyl chloride) (PVC) and polystyrene (PS) mixtures in air atmosphere has been studied by thermogravimetry (TG) and gas chromatograph-mass spectrometry (GC-MS) under various mixing ratios and reaction temperatures. From this work, it can be seen that the yields of a liquid product were increased with the increase of PS in mixtures, whereas those of gaseous products were decreased. And the yields of a gaseous product and HCl were decreased with the increase of ZnO in mixtures. It was also found that HCl was rarely produced at ZnO/Mixture = 0.5 by the effect of ZnO in dehydrochlorination of PVC.

A Qualitative Study for Foreign Workers Exposed hazard Chemical Materials in Korean Industry (유해화학물질 취급 외국인 근로자의 적응과정)

  • Kim, Hyun Li;Kim, Jeong Hee;Song, Yeon Ee;Yi, Ggodme;Jung, Hye Sun;Hyun, Hye JIn;Kim, Hee Girl
    • Korean Journal of Occupational Health Nursing
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    • v.15 no.2
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    • pp.94-103
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    • 2006
  • Purpose: This study was to understand foreign workers' experiences exposed hazard chemical materials in korean industry. Method: The research subjects were 92 foreign workers worked in seoul, namyangju, ansan, suwon, pocheon, incheon, jincheon, and daejeon. It was that grounded theory method as qualitative approach was applied with in-depth interview, recording and dictation, and collected data was analysed line-by-line by research teams. The analysis process of in depth interview data was three phase. Results: The first phase was that find out meaningful data and confronted data for meaningful data was 53 meaningful items. The second phase was coding process of meaningful data, total coding items were 9, difficulty of new environment, existence of health hazard factors originated in work, performance of basic health management, management of hazard materials in work-site, self care of hazard materials in work-site, discrimination of disaster-compensation originated in work, perception of work stress, motivation of leaving position, satisfaction for present life. The third phase was 5 adaptation process, copying phase for new environment, management phase for health hazard factors, health change phase, life change phase, illegal stay phase. Conclusion: In summary, as a results it was concluded that foreign workers was experienced new environment and then has various problems in working site. But these evidences were not different from korean workers basically, undoubtedly reality of a korean small and medium enterprise. And foreign workers with long time stay have had many health problems probably, but they have want to long stay and so reach an unexpected result, illegal long stay. Therefore, we should make efforts for adequate foreign workers' health management at work-site and overall life in governmental and industrial nursing level.

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Development of Soil Organic Carbon Storage Estimation Model Using Soil Characteristics (토양 특성을 이용한 토양유기탄소저장량 산정 모형 개발)

  • Lee, Taehwa;Kim, Sangwoo;Shin, Yongchul;Jung, Younghun;Lim, Kyoung-Jae;Yang, Jae E;Jang, Won Seok
    • Journal of The Korean Society of Agricultural Engineers
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    • v.61 no.6
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    • pp.1-8
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    • 2019
  • Carbon dioxide is one of the major driving forces causing climate changes, and many countries have been trying to reduce carbon dioxide emissions from various sources. Soil stores more carbon dioxide(two to three times) amounts than atmosphere indicating that soil organic carbon emission management are a pivotal issue. In this study, we developed a Soil Organic Carbon(SOC) storage estimation model to predict SOC storage amounts in soils. Also, SOC storage values were assessed based on the carbon emission price provided from Republic Of Korea(ROK). Here, the SOC model calculated the soil hydraulic properties based on the soil physical and chemical information. Base on the calculated the soil hydraulic properties and the soil physical chemical information, SOC storage amounts were estimated. In validation, the estimated SOC storage amounts were 486,696 tons($3.526kg/m^2$) in Jindo-gun and shown similarly compared to the previous literature review. These results supported the robustness of our SOC model in estimating SOC storage amounts. The total SOC storage amount in ROK was 305 Mt, and the SOC amount at Gyeongsangbuk-do were relatively higher than other regions. But the SOC storage amount(per unit) was highest in Jeju island indicating that volcanic ashes might influence on the relatively higher SOC amount. Based on these results, the SOC storage value was shown as 8.4 trillion won in ROK. Even though our SOC model was not fully validated due to lacks of measured SOC data, our approach can be useful for policy-makers in reducing soil organic carbon emission from soils against climate changes.

Variations of Temperature, Chemical Component and Helium Gas of Geothermal Water by Earthquake Events in Pohang Area (포항 지열수의 지진에 의한 수온, 화학성분 및 헬륨가스의 변화)

  • Lee, Yong Cheon;Jeong, Chan Ho;Lee, Yu Jin;Kim, Young-Seog;Kang, Tae-Seob
    • The Journal of Engineering Geology
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    • v.31 no.4
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    • pp.647-658
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    • 2021
  • In this study, the change of temperature, chemical composition, and helium gas of thermal water in Pohang area was observed from January 2018 to June 2019 in order to interpret the relationship with earthquake events. During observation period earthquakes above M 2.0 within 100 km in a radius from a geothermal well occurred 58 including two earthquake events with a magnitude of 3.0~3.9 and two earthquake events with a magnitude of 4.0~4.9. We introduce a q-factor and earthquake effectiveness (ε) to express the influence of each earthquake as magnitude and distance factors. The geothermal well of 715 m deep was developed in the Bulguksa biotite granite, and the water temperature was observed in the variation from 51.8 to 56.3℃ during monitoring period. At M 4.1 and M 4.6 earthquake events, the increase of geothermal water temperature (𝜟T 2.6~4.5℃) was recorded, and slight change in specific ionic components such as SO4 and Cl, and of chemical types on the Piper diagram were observed. In the 3He/4He vs 4He/20Ne diagram, the original mixing ratio of helium isotope before and after the magnitude 4.1 earthquake was slightly changed from 83.0% to 83.2% of crust-origin 4He, and the from 16.3% to 16.7% of mantle-origin 3He. Hot-cold water mixing ratio before and after earthquakes by using the quartz and chalcedony solubility curves of the silica-enthalpy mixing model was calculated to interpret the temperature change of geothermal water. The model calculation shows the increase of 6.93~7.72% and 1.65~4.94% of hot water ratio at E1 and E2 earthquakes, respectively. Conclusively, the magnitude of earthquake for observable change in the temperature and helium isotope of thermal water is of 4.1 or higher and q-factor value of 30.0 or higher in the study site.

Study on the Management Plan for the Preparation of Chemical Terrorism in Multi-use Facilities (다중이용시설 화학테러에 대비한 관리방안 연구)

  • Yoon, Seong Yong;Kim, Si-Kuk;Hong, Sungchul
    • Fire Science and Engineering
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    • v.33 no.2
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    • pp.68-78
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    • 2019
  • In modern society, the paradigm of terrorism is shifting to the form of soft targets focusing on an unspecified number of people, which is different from previous terrorist tendencies, and frequent attacks using chemicals. Therefore, this study analyzed the evacuation environment and characteristics, manual analysis of a terror response manual, and the domestic chemical management status of multi-use facilities, and proposed the following management measures for chemical terror prevention in multi-use facilities. First, a multi-use facility guideline for prompt onsite response is proposed. Second, an improvement plan is suggested through the analysis of the manual for counter terrorism. Third, integrated management is proposed through the selection of chemicals available for terrorism. Through this, it is expected that an additional improvement plan will be prepared for countermeasures against chemical terrorism in multi-use facilities. In the future, it will be necessary to analyze the problems through cases of foreign countries and take customized countermeasures.

AutoML and Artificial Neural Network Modeling of Process Dynamics of LNG Regasification Using Seawater (해수 이용 LNG 재기화 공정의 딥러닝과 AutoML을 이용한 동적모델링)

  • Shin, Yongbeom;Yoo, Sangwoo;Kwak, Dongho;Lee, Nagyeong;Shin, Dongil
    • Korean Chemical Engineering Research
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    • v.59 no.2
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    • pp.209-218
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    • 2021
  • First principle-based modeling studies have been performed to improve the heat exchange efficiency of ORV and optimize operation, but the heat transfer coefficient of ORV is an irregular system according to time and location, and it undergoes a complex modeling process. In this study, FNN, LSTM, and AutoML-based modeling were performed to confirm the effectiveness of data-based modeling for complex systems. The prediction accuracy indicated high performance in the order of LSTM > AutoML > FNN in MSE. The performance of AutoML, an automatic design method for machine learning models, was superior to developed FNN, and the total time required for model development was 1/15 compared to LSTM, showing the possibility of using AutoML. The prediction of NG and seawater discharged temperatures using LSTM and AutoML showed an error of less than 0.5K. Using the predictive model, real-time optimization of the amount of LNG vaporized that can be processed using ORV in winter is performed, confirming that up to 23.5% of LNG can be additionally processed, and an ORV optimal operation guideline based on the developed dynamic prediction model was presented.