• Title/Summary/Keyword: 기계화학반응

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Comparative Assessment of Linear Regression and Machine Learning for Analyzing the Spatial Distribution of Ground-level NO2 Concentrations: A Case Study for Seoul, Korea (서울 지역 지상 NO2 농도 공간 분포 분석을 위한 회귀 모델 및 기계학습 기법 비교)

  • Kang, Eunjin;Yoo, Cheolhee;Shin, Yeji;Cho, Dongjin;Im, Jungho
    • Korean Journal of Remote Sensing
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    • v.37 no.6_1
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    • pp.1739-1756
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    • 2021
  • Atmospheric nitrogen dioxide (NO2) is mainly caused by anthropogenic emissions. It contributes to the formation of secondary pollutants and ozone through chemical reactions, and adversely affects human health. Although ground stations to monitor NO2 concentrations in real time are operated in Korea, they have a limitation that it is difficult to analyze the spatial distribution of NO2 concentrations, especially over the areas with no stations. Therefore, this study conducted a comparative experiment of spatial interpolation of NO2 concentrations based on two linear-regression methods(i.e., multi linear regression (MLR), and regression kriging (RK)), and two machine learning approaches (i.e., random forest (RF), and support vector regression (SVR)) for the year of 2020. Four approaches were compared using leave-one-out-cross validation (LOOCV). The daily LOOCV results showed that MLR, RK, and SVR produced the average daily index of agreement (IOA) of 0.57, which was higher than that of RF (0.50). The average daily normalized root mean square error of RK was 0.9483%, which was slightly lower than those of the other models. MLR, RK and SVR showed similar seasonal distribution patterns, and the dynamic range of the resultant NO2 concentrations from these three models was similar while that from RF was relatively small. The multivariate linear regression approaches are expected to be a promising method for spatial interpolation of ground-level NO2 concentrations and other parameters in urban areas.

Transport Properties of CO2 and CH4 using Poly(ether-block-amide)/GPTMS Hybird Membranes (Poly(ether-block-amide)/GPTMS 하이브리드 분리막을 이용한 이산화탄소와 메탄의 투과특성)

  • Lee, Keun Chul;Kim, Hyunjoon
    • Korean Chemical Engineering Research
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    • v.54 no.5
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    • pp.653-658
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    • 2016
  • Poly(ether-block-amide)(PEBAX$_{(R)}$) resin is a thermoplastic elastomer combining linear chains of hard-rigid polyamide block interspaced soft-flexible polyether block. It was believed that the hard polyamide block provides the mechanical strength and permselectivity, whereas gas transport occurs primarily through the soft polyether block. The objective of this work was to investigate the gas permeation properties of carbon dioxide and methane for PEBAX$^{(R)}$-1657 membrane, and compare with those obtained for other grade of pure PEBAX$^{(R)}$, PEBAX$^{(R)}$-2533 and PEBAX$^{(R)}$ based hybrid membranes. The hybrid membranes based PEBAX$^{(R)}$ were obtained by a sol-gel process using GPTMS ((3-glycidoxypropyl) trimethoxysilane) as the only inorganic precursor. Molecular structure and morphology of membrane were analyzed by $^{29}Si$-NMR, DSC and SEM. PEBAX$_{(R)}$-2533 membrane exhibited higher gas permeability coefficients than PEBAX$^{(R)}$-1657 membrane. This was explained by the increase of chain mobility. In contrast, ideal separation factor of $CO_2/CH_4$ for PEBAX$^{(R)}$-1657 membrane was higher than PEBAX$^{(R)}$-2533 membrane. It was explained by the decrease of diffusion selectivity caused by increase of chain mobility. For PEBAX$^{(R)}$/GPTMS hybrid membrane, gas permeability coefficients were decreased with reaction time. Gas permeability coefficient of $CH_4$ was more significantly decreased than $CO_2$. It can be explained by the reduction of chain mobility caused by the sol-gel process, and strong affinity of PEO segment with $CO_2$. Comparing with pure PEBAX$^{(R)}$-1657 membrane, ideal separation factor of $CO_2/CH_4$ for PEBAX$^{(R)}$/GPTMS hybrid membrane has decreased to 4.5%, and gas permeability coefficient of $CO_2$ has increased 3.5 times.

Physicochemical and Sensory Properties of Baekseolgi Prepared with Different Combinations of Xylitol and Sucralose (자일리톨·수크랄로스 혼합 첨가 백설기의 이화학적·관능적 품질 특성)

  • Jo, Hyeri;Surh, Jeonghee
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.44 no.9
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    • pp.1339-1346
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    • 2015
  • In a previous study, baekseolgi with xylitol or sucralose was comparable to baekseolgi with sugar in terms of all sensory characteristics. However, the hardness of sucralose baekseolgi increased considerably during storage while that of xylitol baekseolgi remained unchanged. To improve the physical limitations observed in sucralose baekseolgi, a combination of sucralose and xylitol were substituted for sugar when preparing baekseolgi (SL0~SL100, SLn; baekseolgi where sugar was replaced with n% sucralose and 100-n% xylitol based on relative sweetness to sugar). All SLn baekseolgi samples were not significantly different from sugar baekseolgi in terms of sensory properties. The moisture content was not different between sugar and xylitol baekseolgi (SL0), but decreased significantly as the amount of sucralose increased (P<0.01), which correlated with cohesiveness of baekseolgi. Texture profile analysis revealed that hardness of SLn baekseolgi increased without any noticeable change in moisture content after storage at $4^{\circ}C$ for 7 days. In addition, the hardness after storage was the highest in sucralose baekseolgi (SL100), which was comparatively lower in SL0~SL80 containing xylitol presumably due to the hygroscopic characteristics of xylitol. In particular, SL20 was found to be comparable to sugar baekseolgi in terms of moisture and cohesiveness during storage. The results showed that the combination of xylitol and sucralose could be a potential sugar substitute in terms of not only sensory characteristics but also physicochemical properties.

Preparation and Characterization of Physicochemical and Sensory Properties of Hwajeon Added with Wild Grape Extract (머루즙 첨가가 화전의 이화학적.관능적 특성에 미치는 영향)

  • Lee, Byung-Yong;Kim, Nam-Ho;Kim, Sol-I;Kim, Seul-Gi;Kim, Jin-Sun;Surh, Jeong-Hee
    • Korean Journal of Food Science and Technology
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    • v.43 no.5
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    • pp.588-596
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    • 2011
  • Wild grape extract (WGE) was added into hwajeon at different concentrations (0, 5, 15, 30, 50% of water). The resulting hwajeon were analyzed for their physicochemical and sensory properties. With increasing concentrations of WGE, the pH of dough and hwajeon decreased, and their degrees brix and color intensity increased, presumably due to the presence of tartaric acid, sugar, and anthocyanin in the WGE. The WGE-enriched hwajeon showed higher hardness, gumminess, and chewiness than control hwajeon, which might have been because the sugar and tartaric acid in the WGE partially inhibited starch gelatinization during heat processing. Nevertheless, all the sensory properties and preference were higher in WGE-enriched hwajeon than controls, which could be partially attributed to the fact of that the WGE-enriched hwajeon retained relatively higher moisture. It is suggested that WGE-enriched hwajeon with high preference could be prepared without loss of hwajeon quality.

Monitoring Ground-level SO2 Concentrations Based on a Stacking Ensemble Approach Using Satellite Data and Numerical Models (위성 자료와 수치모델 자료를 활용한 스태킹 앙상블 기반 SO2 지상농도 추정)

  • Choi, Hyunyoung;Kang, Yoojin;Im, Jungho;Shin, Minso;Park, Seohui;Kim, Sang-Min
    • Korean Journal of Remote Sensing
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    • v.36 no.5_3
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    • pp.1053-1066
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    • 2020
  • Sulfur dioxide (SO2) is primarily released through industrial, residential, and transportation activities, and creates secondary air pollutants through chemical reactions in the atmosphere. Long-term exposure to SO2 can result in a negative effect on the human body causing respiratory or cardiovascular disease, which makes the effective and continuous monitoring of SO2 crucial. In South Korea, SO2 monitoring at ground stations has been performed, but this does not provide spatially continuous information of SO2 concentrations. Thus, this research estimated spatially continuous ground-level SO2 concentrations at 1 km resolution over South Korea through the synergistic use of satellite data and numerical models. A stacking ensemble approach, fusing multiple machine learning algorithms at two levels (i.e., base and meta), was adopted for ground-level SO2 estimation using data from January 2015 to April 2019. Random forest and extreme gradient boosting were used as based models and multiple linear regression was adopted for the meta-model. The cross-validation results showed that the meta-model produced the improved performance by 25% compared to the base models, resulting in the correlation coefficient of 0.48 and root-mean-square-error of 0.0032 ppm. In addition, the temporal transferability of the approach was evaluated for one-year data which were not used in the model development. The spatial distribution of ground-level SO2 concentrations based on the proposed model agreed with the general seasonality of SO2 and the temporal patterns of emission sources.

Origin and Reservoir Types of Abiotic Native Hydrogen in Continental Lithosphere (대륙 암석권에서 무기 자연 수소의 성인과 부존 형태)

  • Kim, Hyeong Soo
    • Korean Journal of Mineralogy and Petrology
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    • v.35 no.3
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    • pp.313-331
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    • 2022
  • Natural or native abiotic molecular hydrogen (H2) is a major component in natural gas, however yet its importance in the global energy sector's usage as clean and renewable energy is underestimated. Here we review the occurrence and geological settings of native hydrogen to demonstrate the much widesprease H2 occurrence in nature by comparison with previous estimations. Three main types of source rocks have been identified: (1) ultramafic rocks; (2) cratons comprising iron (Fe2+)-rich rocks; and (3) uranium-rich rocks. The rocks are closely associated with Precambrian crystalline basement and serpentinized ultramafic rocks from ophiolite and peridotite either at mid-ocean ridges or within continental margin(Zgonnik, 2020). Inorganic geological processes producing H2 in the source rocks include (a) the reduction of water during the oxidation of Fe2+ in minerals (e.g., olivine), (b) water splitting due to radioactive decay, (c) degassing of magma at low pressure, and (d) the reaction of water with surface radicals during mechanical breaking (e.g., fault) of silicate rocks. Native hydrogen are found as a free gas (51%), fluid inclusions in various rock types (29%), and dissolved gas in underground water (20%) (Zgonnik, 2020). Although research on H2 has not yet been carried out in Korea, the potential H2 reservoirs in the Gyeongsang Basin are highly probable based on geological and geochemical characteristics including occurrence of ultramafic rocks, inter-bedded basaltic layers and iron-copper deposits within thick sedimentary basin and igneous activities at an active continental margin during the Permian-Paleogene. The native hydrogen is expected to be clean and renewable energy source in the near future. Therefore it is clear that the origin and exploration of the native hydrogen, not yet been revealed by an integrated studies of rock-fluid interaction studies, are a field of special interest, regardless of the presence of economic native hydrogen reservoirs in Korea.