M
Michael H. Bergin
Researcher at Duke University
Publications - 146
Citations - 9138
Michael H. Bergin is an academic researcher from Duke University. The author has contributed to research in topics: Aerosol & Snow. The author has an hindex of 47, co-authored 141 publications receiving 7749 citations. Previous affiliations of Michael H. Bergin include Climate Monitoring and Diagnostics Laboratory & Cooperative Institute for Research in Environmental Sciences.
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Comparison of aerosol optical depth inferred from surface measurements with that determined by Sun photometry for cloud-free conditions at a continental U.S. site
TL;DR: In this article, the authors compared the results of two different methods to estimate the optical depth (AOD) at the Southern Great Plains (SGP) Atmospheric Radiation Measurement (ARM) site in north central Oklahoma for several cloud-free days.
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Oxidative potential of PM2.5 during Atlanta rush hour: Measurements of in-vehicle dithiothreitol (DTT) activity
Heidi Vreeland,Rodney J. Weber,Michael H. Bergin,Roby Greenwald,Rachel Golan,Rachel Golan,Armistead G. Russell,Vishal Verma,Jeremy A. Sarnat +8 more
TL;DR: In this paper, the authors measured DTTv activities (i.e., DTT activity normalized to the sampled air volume) that were on average two times higher than comparable measurements collected by stationary roadside monitoring sites.
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Deliberating performance targets workshop: Potential paths for emerging PM2.5 and O3 air sensor progress.
Ron Williams,Rachelle M. Duvall,Vasu Kilaru,Gayle S.W. Hagler,L. Hassinger,Katherine B. Benedict,Joann Rice,Amanda Kaufman,Robert Judge,G. Pierce,Grant R. Allen,Michael H. Bergin,Ronald C. Cohen,P. Fransioli,M. Gerboles,Rima Habre,Michael P. Hannigan,D. Jack,Peter K.K. Louie,N.A. Martin,Michele Penza,Andrea Polidori,R. Subramanian,K. Ray,James J. Schauer,Edmund Seto,George D. Thurston,Jay R. Turner,Anthony S. Wexler,Zhi Ning +29 more
TL;DR: An international two-day workshop to deliberate possible performance targets for non-regulatory fine particulate matter and ozone air sensors held in June 2018 concluded that a number of possible future actions would be beneficial to all stakeholders regarding sensor technologies.
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Using Low-cost sensors to Quantify the Effects of Air Filtration on Indoor and Personal Exposure Relevant PM2.5 Concentrations in Beijing, China
Karoline K. Barkjohn,Michael H. Bergin,Christina Norris,James J. Schauer,Yinping Zhang,Marilyn Black,Min Hu,Junfeng Zhang +7 more
TL;DR: Li et al. as mentioned in this paper developed a 2-step calibration method in which a low-cost monitor is calibrated against a reference analyzer and is then used to calibrate other monitors, shortening the required calibration time and reducing measurement error.
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Estimating ground-level PM2.5 using micro-satellite images by a convolutional neural network and random forest approach
TL;DR: A deep convolutional neural network is employed to process the imagery by extracting image features that characterize the day-to-day dynamic changes in the built environment and more importantly the image colors related to aerosol loading, and a random forest regressor is used to estimate PM2.5 based on the extracted image features along with meteorological conditions.