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      KCI등재 SCOPUS

      Estimating Mass Concentration Using a Low-cost Portable Particle Counter Based on Full-year Observations: Issues to Obtain Reliable Atmospheric PM<SUB>2.5</SUB> Data

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      https://www.riss.kr/link?id=A106920637

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      다국어 초록 (Multilingual Abstract)

      Expanding the use of a recently introduced low-cost particle monitor (DC1700 Dylos Air Quality Monitor) for sensing atmospheric PM2.5 requires comparison with data obtained using a certified method for PM2.5 based on appropriate atmospheric observatio...

      Expanding the use of a recently introduced low-cost particle monitor (DC1700 Dylos Air Quality Monitor) for sensing atmospheric PM2.5 requires comparison with data obtained using a certified method for PM2.5 based on appropriate atmospheric observations. Full-year measurements of atmospheric aerosols were taken in Nagoya, Japan during March 2017-March 2018 using the DC1700 to measure the particle number concentrations of >0.5 and >2.5 μm diameter particles and to measure the PM2.5 mass concentration (Mdry, PM2.5) using an automated β attenuation mass monitor (PM712). The number-size distribution was measured using an optical particle counter (KC01D). The dried mass concentration of 0.5-2.5 μm particles (Mdry, 0.5-2.5) was estimated from the ambient relative humidity and the DC1700 number concentration. The values of Mdry, 0.5-2.5 were invariably less than those of Mdry, PM2.5. The coefficient of determination and slope of Mdry, 0.5-2.5 to Mdry, PM2.5 for the year were, respectively, 0.68 and 0.40. Slope values changed seasonally from 0.24 in July and August 2017 to 0.55 in May and April 2017. Light absorbing particles, smaller-fine particles, and the estimation method of Mdry, 0.5-2.5 were inferred as causes of the difference between Mdry, 0.5-2.5 and Mdry, PM2.5. Especially, we estimated a large contribution (ca. 54% underestimation of Mdry, 0.5-2.5 into Mdry, PM2.5) of particles smaller than the minimum detection diameter of DC1700. The seasonal variation of Mdry, 0.5-2.5/Mdry, PM2.5 was related to the volume fraction of particles smaller than 0.5 μm. Good correlation of Mdry, 0.5-2.5 to Mdry, PM2.5 suggests that data obtained using DC1700 with a correction factor are useful as a rough proxy of atmospheric PM2.5 within a season. However, precise estimation of PM2.5 from the DC1700 number concentrations should include appropriate corrections of the size distribution, not only hygroscopicity.

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      참고문헌 (Reference)

      1 Hasegawa, S., "Verification of measured values by PM2. 5 automatic measuring instruments using the standard method" 43 (43): 40-46, 2018

      2 Snider, G., "Variation in global chemical composition of PM2.5: emerging results from SPARTAN" 16 : 9629-9653, 2016

      3 Semple, S., "Using a new, low-cost air quality sensor to quantify second-hand smoke(SHS)levels in homes" 24 (24): 2013

      4 Zhang, Q., "Transboundary Health Impacts of Transported Global Air Pollution and International Trade" 543 : 705-709, 2017

      5 Kumar, P., "The rise of low-cost sensing for managing air pollution in cities" 75 : 199-205, 2015

      6 Jayaratne, R., "The influence of humidity on the performance of a low-cost air particle mass sensor and the effect of atmospheric fog" 11 (11): 4883-4890, 2018

      7 Lelieveld, J., "The Contribution of Outdoor Air Pollution Sources to Premature Mortality on a Global Scale" 525 : 367-371, 2015

      8 Liu, D., "Performance calibration of low-cost and portable particular matter(PM)sensors" 112 : 1-10, 2017

      9 Slowik, J. G., "Particle Morphology and Density Characterization by Combined Mobility and Aerodynamic Diameter Measurements. Part 2: Application to Combustion-Generated Soot Aerosols as a Function of Fuel Equivalence Ratio" 38 (38): 1206-1222, 2004

      10 Jovašević-Stojanović, M., "On the use of small and cheaper sensors and devices for indicative citizen-based monitoring of respirable particulate matter" 206 : 696-704, 2015

      1 Hasegawa, S., "Verification of measured values by PM2. 5 automatic measuring instruments using the standard method" 43 (43): 40-46, 2018

      2 Snider, G., "Variation in global chemical composition of PM2.5: emerging results from SPARTAN" 16 : 9629-9653, 2016

      3 Semple, S., "Using a new, low-cost air quality sensor to quantify second-hand smoke(SHS)levels in homes" 24 (24): 2013

      4 Zhang, Q., "Transboundary Health Impacts of Transported Global Air Pollution and International Trade" 543 : 705-709, 2017

      5 Kumar, P., "The rise of low-cost sensing for managing air pollution in cities" 75 : 199-205, 2015

      6 Jayaratne, R., "The influence of humidity on the performance of a low-cost air particle mass sensor and the effect of atmospheric fog" 11 (11): 4883-4890, 2018

      7 Lelieveld, J., "The Contribution of Outdoor Air Pollution Sources to Premature Mortality on a Global Scale" 525 : 367-371, 2015

      8 Liu, D., "Performance calibration of low-cost and portable particular matter(PM)sensors" 112 : 1-10, 2017

      9 Slowik, J. G., "Particle Morphology and Density Characterization by Combined Mobility and Aerodynamic Diameter Measurements. Part 2: Application to Combustion-Generated Soot Aerosols as a Function of Fuel Equivalence Ratio" 38 (38): 1206-1222, 2004

      10 Jovašević-Stojanović, M., "On the use of small and cheaper sensors and devices for indicative citizen-based monitoring of respirable particulate matter" 206 : 696-704, 2015

      11 EPA, "National Ambient Air Quality Standards for Particulate Matter; Final Rule" 78 : 3086-3287, 2013

      12 Sayahi, T., "Long-term field evaluation of the Plantower PMS low-cost particulate matter sensors" 245 : 932-940, 2019

      13 Manikonda, A., "Laboratory assessment of low-cost PM monitors" 102 : 29-40, 2016

      14 Austin, E., "Laboratory Evaluation of the Shinyei PPD42NS Low-Cost Particulate Matter Sensor" 10 (10): 2015

      15 Sousan, S., "Inter-comparison of lowcost sensors for measuring the mass concentration of occupational aerosols" 50 (50): 462-473, 2016

      16 Ikemori, F., "Influence of contemporary carbon originating from the 2003 Siberian forest fire on organic carbon in PM2. 5 in Nagoya" 530 (530): 403-441, 2015

      17 Zheng, T., "Field evaluation of low-cost particulate matter sensors in high-and low-concentration environments" 11 : 4823-4846, 2018

      18 Johnson, K., "Field Test of Several Low-Cost Particulate Matter Sensors in High and Low Concentration Urban Environments" 18 : 565-578, 2018

      19 Han, I., "Feasibility of using low-cost portable particle monitors for measurement of fine and coarse particulate matter in urban ambient air" 67 (67): 330-340, 2017

      20 Jones, S., "Evaluation of a Low-Cost Aerosol Sensor to Assess Dust Concentrations in a Swine Building" 60 (60): 597-607, 2016

      21 Zikova, N., "Estimating hourly concentrations of PM2.5 across a metropolitan area using low-cost particle monitors" 17 (17): 1922-, 2017

      22 Rai, A. C., "End-user perspective of low-cost sensors for outdoor air pollution monitoring" 607-608 : 691-705, 2017

      23 Nakayama, T., "Development and evaluation of a palm-sized optical PM2. 5sensor" 52 (52): 2-12, 2017

      24 Dacunto, P. J., "Determining PM2. 5 Calibration Curves for a Low-Cost Particle Monitor : Common Indoor Residential Aerosols" 17 : 1959-1966, 2015

      25 Yamagami, M., "Decreasing trend of elemental carbon concentration with changes in major sources at Mega city Nagoya, Central Japan" 199 : 155-163, 2019

      26 Iwamoto, Y., "Continuous measurement of hygroscopic characteristics of PM2. 5 using an optical particle counter-Including case analysis of high concentration events in December 2016" 33 (33): 238-247, 2018

      27 Jiao, W., "Community Air Sensor Network(CAIRSENSE)project : evaluation of low-cost sensor performance in a suburban environment in the southeastern United States" 9 (9): 5281-5292, 2016

      28 Ueda, K., "Associations Between Fine Particulate Matter Components and Daily Mortality in Nagoya, Japan" 26 (26): 249-257, 2016

      29 Kelly, K. E., "Ambient and laboratory evaluation of a low-cost particulate matter sensor" 221 : 491-500, 2017

      30 Kulkarni, P., "Aerosol Measurement:Principles, Techniques, and Applications" John Wiley & Sons, Inc. 883-, 2011

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2013-10-01 평가 등재학술지 선정 (기타) KCI등재
      2011-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.14 0.14 0.16
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.15 0.16 0.439 0
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