• Title/Summary/Keyword: $PM_{2.5}$ modeling

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Population Pharmacokinetics for Gentamicin in American and Korean-American Appendicitis Patients Using Nonparametric Expected Maximum(NPEM) Algorithm (비모수적 기대최대치(NPEM)연산방법에 의한 미국인과 재미동포 충수돌기염 환자에게 겐타마이신의 모집단 약물동태학)

  • ;;Stanford Jhee;Gill, Mark A.
    • YAKHAK HOEJI
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    • v.39 no.2
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    • pp.103-112
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    • 1995
  • Population pharmacokinetics for gentamicin were compared with 24 American patients (16 male and 8 female) and 16 Korean-American appendicitis patients(12 male and 4 female). Two to six blood specimens were collected from all patients at the following times: just before a regularly scheduled infusion and at 1/2 hour after the end of a 1/2 hour infusion. Nonparametric expected maximum(NPEM) algorithm for population modeling was used. The estimated parameters were the elimination rate constant(K), the slope of the relationship between K versus creatinine clearance(KS), the apparent volume of distribution(V), the slope of the relationship between V versus weight(VS), gentamicin clearance(CL) and the slope of the relationship between CL versus creatinine clearance and the VS(CS). The output includes a 3-dimensional plot of the joint probability density function(PDF), two marginal PDF, means, medians, modes, variance, skewness, kurtosis, and CV%. The mean K(KS) were 0.424$\pm$0.139(0.00429$\pm$0.00164) and 0.411$\pm$0.135 hr$^{-1}$ (0.00475$\pm$0.00180[hr.mL/min/1.73m$^{2}]^{-1}$) for American and Korean-American populations, respectively. The mean V(VS) were not different at 15.6$\pm$4.77(0.233$\pm$0.0526) and 15.1$\pm$3.84L(0.239$\pm$0.0492 L/kg) for American and Korean-American populations, respectively (P>0.2). The mean CL (CS) were 6.28$\pm$1.85(0.0634$\pm$0.0191) and 5.70$\pm$1.77 L/hr(0.0701$\pm$0.0215 L/kg[hr.mL/min/1.73m$^{2}$)] for American and Korean-American populations, respectively. There are no differences in gentamicin pharmacokinetics between American and Korean-American Appendicitis patients.

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Field Weakening Control of a PM Electric Variable Transmission for HEV

  • Cheng, Yuan;Bouscayrol, Alain;Trigui, Rochdi;Espanet, Christophe;Cui, Shumei
    • Journal of Electrical Engineering and Technology
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    • v.8 no.5
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    • pp.1096-1106
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    • 2013
  • This paper presents the control of a Permanent Magnet Electric Variable Transmission (PM-EVT) for Hybrid Electric Vehicles (HEVs). Consisting of two electric machines, the EVT realizes the power split function in an electromagnetic way rather than in a mechanical way. A specific PM-EVT has been designed for Toyota Prius II. The control scheme of the entire vehicle is deduced using the Energetic Macroscopic Representation methodology. The energy management strategy yields local control references. A specific attention is paid for the field weakening for wide speed range. Simulation results are provided to illustrate the EVT modeling and control.

Impact of Future Air Quality in East Asia under SSP Scenarios (SSP 시나리오에 따른 동아시아 대기질 미래 전망)

  • Shim, Sungbo;Seo, Jeongbyn;Kwon, Sang-Hoon;Lee, Jae-Hee;Sung, Hyun Min;Boo, Kyung-On;Byun, Young-Hwa;Lim, Yoon-Jin;Kim, Yeon-Hee
    • Atmosphere
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    • v.30 no.4
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    • pp.439-454
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    • 2020
  • This study investigates the change in the fine particulate matter (PM2.5) concentration and World Health Organization (WHO) air quality index (AQI) in East Asia (EA) under Shared Socioeconomic Pathways (SSPs). AQI is an indicator of increasing levels about health concern, divided into six categories based on PM2.5 annual concentrations. Here, we utilized the ensemble results of UKESM1, the climate model operated in Met Office, UK, for the analysis of long-term variation during the historical (1950~2014) and future (2015~2100) period. The results show that the spatial distributions of simulated PM2.5 concentrations in present-day (1995~2014) are comparable to observations. It is found that most regions in EA exceeded the WHO air quality guideline except for Japan, Mongolia regions, and the far seas during the historical period. In future scenarios containing strong air quality (SSP1-2.6, SSP5-8.5) and medium air quality (SSP2-4.5) controls, PM2.5 concentrations are substantially reduced, resulting in significant improvement in AQI until the mid-21st century. On the other hand, the mild air pollution controls in SSP3-7.0 tend to lead poor AQI in China and Korea. This study also examines impact of increased in PM2.5 concentrations on downward shortwave energy at the surface. As a result, strong air pollution controls can improve air quality through reduced PM2.5 concentrations, but lead to an additional warming in both the near and mid-term future climate over EA.

Spatial reproducibility of complex fractionated atrial electrogram depending on the direction and configuration of bipolar electrodes: an in-silico modeling study

  • Song, Jun-Seop;Lee, Young-Seon;Hwang, Minki;Lee, Jung-Kee;Li, Changyong;Joung, Boyoung;Lee, Moon-Hyoung;Shim, Eun Bo;Pak, Hui-Nam
    • The Korean Journal of Physiology and Pharmacology
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    • v.20 no.5
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    • pp.507-514
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    • 2016
  • Although 3D-complex fractionated atrial electrogram (CFAE) mapping is useful in radiofrequency catheter ablation for persistent atrial fibrillation (AF), the directions and configuration of the bipolar electrodes may affect the electrogram. This study aimed to compare the spatial reproducibility of CFAE by changing the catheter orientations and electrode distance in an in -silico left atrium (LA). We conducted this study by importing the heart CT image of a patient with AF into a 3D-homogeneous human LA model. Electrogram morphology, CFAE-cycle lengths (CLs) were compared for 16 different orientations of a virtual bipolar conventional catheter (conv-cath: size 3.5 mm, inter-electrode distance 4.75 mm). Additionally, the spatial correlations of CFAE-CLs and the percentage of consistent sites with CFAE-CL<120 ms were analyzed. The results from the conv-cath were compared with that obtained using a mini catheter (mini-cath: size 1 mm, inter-electrode distance 2.5 mm). Depending on the catheter orientation, the electrogram morphology and CFAE-CLs varied (conv-cath: $11.5{\pm}0.7%$ variation, mini-cath: $7.1{\pm}1.2%$ variation), however the mini-cath produced less variation of CFAE-CL than conv-cath (p<0.001). There were moderate spatial correlations among CFAE-CL measured at 16 orientations (conv-cath: $r=0.3055{\pm}0.2194$ vs. mini-cath: $0.6074{\pm}0.0733$, p<0.001). Additionally, the ratio of consistent CFAE sites was higher for mini catheter than conventional one ($38.3{\pm}4.6%$ vs. $22.3{\pm}1.4%$, p<0.05). Electrograms and CFAE distribution are affected by catheter orientation and electrode configuration in the in-silico LA model. However, there was moderate spatial consistency of CFAE areas, and narrowly spaced bipolar catheters were less influenced by catheter direction than conventional catheters.

Assessing the Health Benefits of the Seoul Air Quality Management Plan Using BenMAP

  • Park, Jeong-Im;Bae, Hyun-Joo
    • Journal of Environmental Health Sciences
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    • v.32 no.6
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    • pp.571-577
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    • 2006
  • Health benefits from implementing air quality control measures were assessed using the Environmental Benefits Mapping and Analysis Program (BenMAP). BenMAP developed by US EPA is a GIS-based software tool that estimates the health impacts and associated economic values connected with changes in ambient air pollution. Once a set of BenMAP-required data was collected, the health benefits from implementing Seoul Air Quality Management Plan (SAQMP), an official AQ improvement plan for Seoul Metropolitan Area, was assessed using BenMAP. The PM10 concentrations assuming the SAQMP implemented successfully were predicted with the MM5 (Mesoscale Meteorological model version 5)/CMAQ (Community Multiscale Air Quality) model. A PM 10 exposure related premature mortality function was adopted trom a well-known epidemiology study. Economic valuation functions driven from benefit transfer methods were utilized. Through the SAQMP, PM10 concentrations were estimated to be lowered by $15{\mu}g/m^3\;to\;75{\mu}g/m^3$ depending on air quality modeling grids. 5,569 premature deaths (95% CI $3,264{\sim}7,809$ deaths) could be avoided in the Seoul Metropolitan Area. The economic value of the deaths avoided was estimated to $13.2 billion $(95%\;CI\;$890\;million{\sim}$28.2\;billion)$ using the benefit transfer value. BenMAP could be a useful tool for developing effective air quality improvement policy, enabling the policy makers to anticipate the effects of regulatory changes on people's health and the economy.

Atmospheric Dispersion of Particulate Matters (PM10 and PM2.5) and Ammonia Emitted from Livestock Farms Using AERMOD (AERMOD를 이용한 축산 미세먼지, 초미세먼지, 암모니아 배출의 대기확산 영향도 분석)

  • Lee, Se-Yeon;Park, Jinseon;Jeong, Hanna;Choi, Lak-Yeong;Hong, Se-Woon
    • Journal of The Korean Society of Agricultural Engineers
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    • v.63 no.5
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    • pp.13-25
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    • 2021
  • The particulate matters (PM10 and PM2.5) and ammonia emitted from livestock farms as dispersed to urban and residential areas can increase the public's concern over the health problem, social conflicts, and air quality. Understanding the atmospheric dispersion of such matters is important to prevent the problems for the regulatory purposes. In this study, AERMOD modeling was performed to predict the dispersion of livestock particulate matters and ammonia in Gwangju metropolitan city and five surrounding cities. The five cities were divided into 40 sub-zones to model the area-based emissions which varied with the number of livestock farms, species and growth stages of the animals. As a result, the concentrations of PM10, PM2.5 and ammonia resulted from livestock farms located in the surrounding cities were 2.00 ㎍ m-3, 0.30 ㎍ m-3 and 0.04 ppm in the southwestern part of Gwangju based on the average concentration of 1 hour. These values accounted for 0.7% of PM10 concentration, 0.5% of PM2.5 concentration, and 0.4% of the ammonia concentration in Gwangju, contributing to a small amount of air pollution compared to other sources. As preventive measures, the plantation was applied to high emission source areas to reduce particulate matters and ammonia emissions by 35% and 31%, respectively, and resulted in decrease of the area of influence by 57% for particulate matters and 59% for ammonia.

Impact of Emissions from Major Point Sources in Chungcheongnam-do on Surface Fine Particulate Matter Concentration in the Surrounding Area (충남지역 대형 점오염원이 주변지역 초미세먼지 농도에 미치는 영향)

  • Kim, Soontae;Kim, Okgil;Kim, Byeong-Uk;Kim, Hyun Cheol
    • Journal of Korean Society for Atmospheric Environment
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    • v.33 no.2
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    • pp.159-173
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    • 2017
  • The Weather Research and Forecast (WRF) - Community Multiscale Air Quality (CMAQ) system was applied to investigate the influence of major point sources located in Chungcheongnam-do (CN) on surface $PM_{2.5}$ (Particulate Matter of which diameter is $2.5{\mu}m$ or less) concentrations in its surrounding areas. Uncertainties associated with contribution estimations were examined through cross-comparison of modeling results using various combinations of model inputs and setups; two meteorological datasets developed with WRF for 2010 and 2014, and two domestic emission inventories for 2010 and 2013 were used to estimate contributions of major point sources in CN. The results show that contributions of major point sources in CN to annual $PM_{2.5}$ concentrations over Seoul, Incheon, Gyeonggi, and CN ranged $0.51{\sim}1.63{\mu}g/m^3$, $0.71{\sim}1.62{\mu}g/m^3$, $0.63{\sim}1.66{\mu}g/m^3$, and $1.04{\sim}1.86{\mu}g/m^3$, respectively, depending on meteorology and emission inventory choice. It indicates that the contributions over the surrounding areas can be affected by model inputs significantly. Nitrate was the most dominant $PM_{2.5}$ component that was increased by major point sources in CN followed by sulfate, ammonium, and others. Based on the model simulations, it was estimated that primary $PM_{2.5}$ $(PPM)-to-PM_{2.5}$ conversion rates were 41.3~50.7 ($10^{-6}{\mu}g/m^3/TPY$) for CN, and 12.4~18.3 ($10^{-6}{\mu}g/m^3/TPY$) for Seoul, Incheon, and Gyeonggi, respectively. In addition, spatial gradients of PPM contributions show very steep trends. $NO_X$-to-nitrate conversion rates were 7.61~12.3 ($10^{-6}{\mu}g/m^3/TPY$) for CN, and 3.94~11.3 ($10^{-6}{\mu}g/m^3/TPY$) for the sub-regions in the SMA. $SO_2$-to-sulfate conversion rates were 4.04~5.28 ($10^{-6}{\mu}g/m^3/TPY$) for CN, and 3.73~4.43 ($10^{-6}{\mu}g/m^3/TPY$) for the SMA, respectively.

Analysis of PM2.5 Impact and Human Exposure from Worst-Case of Mt. Baekdu Volcanic Eruption (백두산 분화 Worst-case로 인한 우리나라 초미세먼지(PM2.5) 영향분석 및 노출평가)

  • Park, Jae Eun;Kim, Hyerim;Sunwoo, Young
    • Korean Journal of Remote Sensing
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    • v.36 no.5_4
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    • pp.1267-1276
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    • 2020
  • To quantitatively predict the impacts of large-scale volcanic eruptions of Mt. Baekdu on air quality and damage around the Korean Peninsula, a three-dimensional chemistry-transport modeling system (Weather Research & Forecasting - Sparse Matrix Operation Kernel Emission - Comunity Multi-scale Air Quality) was adopted. A worst-case meteorology scenario was selected to estimate the direct impact on Korea. This study applied the typical worst-case scenarios that are likely to cause significant damage to Korea among worst-case volcanic eruptions of Mt. Baekdu in the past decade (2005~2014) and assumed a massive VEI 4 volcanic eruption on May 16, 2012, to analyze the concentration of PM2.5 caused by the volcanic eruption. The effects of air quality in each region-cities, counties, boroughs-were estimated, and vulnerable areas were derived by conducting an exposure assessment reflecting vulnerable groups. Moreover, the effects of cities, counties, and boroughs were analyzed with a high-resolution scale (9 km × 9 km) to derive vulnerable areas within the regions. As a result of analyzing the typical worst-case volcanic eruptions of Mt. Baekdu, a discrepancy was shown in areas between high PM2.5 concentration, high population density, and where vulnerable groups are concentrated. From the result, PM2.5 peak concentration was about 24,547 ㎍/㎥, which is estimated to be a more serious situation than the eruption of Mt. St. Helensin 1980, which is known for 540 million tons of volcanic ash. Paju, Gimpo, Goyang, Ganghwa, Sancheong, Hadong showed to have a high PM2.5 concentration. Paju appeared to be the most vulnerable area from the exposure assessment. While areas estimated with a high concentration of air pollutants are important, it is also necessary to develop plans and measures considering densely populated areas or areas with high concentrations of susceptible population or vulnerable groups. Also, establishing measures for each vulnerable area by selecting high concentration areas within cities, counties, and boroughs rather than establishing uniform measures for all regions is needed. This study will provide the foundation for developing the standards for disaster declaration and preemptive response systems for volcanic eruptions.

Predictive Modeling of Dental Pain Factors Using Neural Network Model (신경망 모델을 이용한 치통발생 예측 모형에 관한 연구)

  • Kim, Eun-Yeob;Lim, Kun-Ok
    • Journal of dental hygiene science
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    • v.9 no.2
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    • pp.181-187
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    • 2009
  • Oral diseases may hinder people from living a healthy life by causing obstacles in the nutrition supply of the human body. This study aims at the found out the eating habits and recognition factors of people who are currently suffering from denial pain, and made a predictive modeling using neural network, which is a data mining. The oral health condition for maintaining and improving oral health has been examined and analyzed through a survey and the groups were divided based on the presence and the absence of dental pain. This study observed on eating habits, exercise and oral habits. The study results of neural network modeling input parameter was selected significant survival factors. As a result of making a predictive modeling using the neural network, the fitness of the predictive modeling of dental pain factors was 88.7%. As for the people who are likely to experience dental pain predicted by the neural network model, preventive measures including proper eating habits, education on oral hygiene, and stress release must precede any dental treatment.

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Issues and Tasks for Air Quality Management in the Greater Seoul Metropolitan Area (수도권 대기질 관리의 쟁점과 과제)

  • Ghim, Young-Sung
    • Journal of Environmental Policy
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    • v.4 no.1
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    • pp.1-19
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    • 2005
  • On January 1, 2005, the Special Act on Metropolitan Air Quality Improvement, known as the Blue Sky 21 Program, entered into force. This Special Act is aimed at reducing the annual average concentrations of $PM_{10}$ and $NO_2$ to $40{\mu}g/m^3$ and 22ppb, respectively, from their current levels of $76{\mu}g/m^3$ and 36ppb, within the next 10 years. While the main focus of the Act is to reduce $PM_{10}$ and $NO_2$ emissions, the government also anticipates that these reductions would lessen high ozone occurrences and improve visibility. However, reducing local PM emissions would not decrease $PM_{10}$ concentrations as much as expected since other significant sources, such as continental inflow and/or secondary formation from photochemical reactions, exist. This is corroborated by the fact that $PM_{10}$ in the greater Seoul Metropolitan area during the ozone season is mostly in the form of $PM_{2.5}$, which is secondarily formed on a regional scale. Furthermore, many modeling results indicate so-called '$NO_x$ disbenefits,' referring to the fostering of an increase in ozone concentrations from a decrease in $NO_x$ emissions, over an extensive area. In this paper, the current status of air quality in the Seoul Metropolitan area is reviewed, and several other issues, including the effect of long-range transport, photochemical characteristics, and tasks for successful implementation of the Special Act are discussed.

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