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dc.contributor.author김기현-
dc.date.accessioned2018-07-27T02:07:57Z-
dc.date.available2018-07-27T02:07:57Z-
dc.date.issued2011-09-
dc.identifier.citationENVIRONMENTAL SCIENCE & TECHNOLOGY, Vol.45, No.18, p7812-7818,en_US
dc.identifier.issn0013-936X-
dc.identifier.urihttps://pubs.acs.org/doi/abs/10.1021/es201454u-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/73363-
dc.description.abstractThe short- and long-term memory effects associated with measurements of mercury vapor in air using gold-coated silica adsorption tubes have been described. Data are presented to quantify these effects and to determine their dependence on certain relevant measurement parameters, such as number of heating cycles used for each analysis, age of adsorption tube, mass of mercury on adsorption tube, and the length of time between analyses. The results suggest that the long-term memory effect is due to absorption of mercury within the bulk gold in the adsorption tube, which may only be fully liberated by allowing enough time for this mercury to diffuse to the gold surface. The implications of these effects for air quality networks making these measurements routinely has been discussed, and recommendations have been made to ensure any measurement bias is minimized.en_US
dc.description.sponsorshipThis work forms part of the Chimical and Biological Metrology Programme of the National Measurement System of the UK Department of Business, Innovation and Skills (BIS). Support from the UK Heavy Metals Air Quality Monitoring Network by the UK Department for Environment, Food and Rural Affairs is also gratefully acknowledged. The fourth author also acknowledges the support made by the National Research Foundation of Korea (NRF) Grant funded by the Ministry of Education, Science and Technology (MEST) (No.2010-0007876).en_US
dc.language.isoenen_US
dc.publisherAMER CHEMICAL SOC, 1155 16TH ST, NW, WASHINGTON, DC 20036 USAen_US
dc.titleMemory Effects on Adsorption Tubes for Mercury Vapor Measurement in Ambient Air: Elucidation, Quantification, and Strategies for Mitigation of Analytical Biasen_US
dc.typeArticleen_US
dc.relation.volume45-
dc.identifier.doi10.1021/es201454u-
dc.relation.page7812-7818-
dc.relation.journalENVIRONMENTAL SCIENCE & TECHNOLOGY-
dc.contributor.googleauthorBrown, Richard J. C.-
dc.contributor.googleauthorKumar, Yarshini-
dc.contributor.googleauthorBrown, Andrew S.-
dc.contributor.googleauthorKim, Ki-Hyun-
dc.relation.code2011202897-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING-
dc.identifier.pidkkim61-
dc.identifier.researcherID56962774000-
dc.identifier.orcid0000-0003-0487-4242-
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COLLEGE OF ENGINEERING[S](공과대학) > CIVIL AND ENVIRONMENTAL ENGINEERING(건설환경공학과) > Articles
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