J
Julius S. Chang
Researcher at State University of New York System
Publications - 20
Citations - 1437
Julius S. Chang is an academic researcher from State University of New York System. The author has contributed to research in topics: Air quality index & Deposition (aerosol physics). The author has an hindex of 11, co-authored 20 publications receiving 1388 citations. Previous affiliations of Julius S. Chang include National Central University & National Center for Atmospheric Research.
Papers
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Journal ArticleDOI
A three-dimensional Eulerian acid deposition model: Physical concepts and formulation
Julius S. Chang,Richard A. Brost,I. S. A. Isaksen,Sasha Madronich,Paulette Middleton,William R. Stockwell,Chris J. Walcek +6 more
TL;DR: In this paper, a three-dimensional Eulerian regional acid deposition model is developed to calculate episodic chemical concentrations and dry and wet deposition of acids in North America using temporally and spatially varying meteorology.
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SO2, sulfate and HNO3 deposition velocities computed using regional landuse and meteorological data
TL;DR: In this article, a mesoscale meteorology model was used to predict the deposition velocities of SO2, sulfate and HNO3 over the eastern United States and southeastern Canada.
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The Accuracy of Trajectory Models as Revealed by the Observing System Simulation Experiments
TL;DR: In this article, it was shown that the current synoptic network and observational frequency over North America are inadequate for accurate computation of long-range transport of episodic events, and that improving the Observational frequency would be more cost effective than improving the spatial resolution for the existing network.
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A Re-Evaluation of Sulfur Budgets, Lifetimes, and Scavenging Ratios for Eastern North America
Gary S. Wojcik,Julius S. Chang +1 more
TL;DR: In this paper, the authors used the Regional AcidDeposition Model (RADM2.61) to predict atmospheric mixing ratios of acidicmaterials and other related trace constituents and acid deposition patterns in North America, and so,analysis of its established, theoretical, databases serves as a counterpoint to previous studies of sulfurbudgets, lifetimes, and scavenging ratios.
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Diagnostic modeling of PAMS VOC observation
TL;DR: From the results of PAMS organics diurnal variations as well as indicator ratios, one can conclude that PAMS Air Quality Model (PAMS-AQM) has been successfully developed and can be applied to the study of evolution of PAMs organics in regional and urban environments.