V
Vlad Isakov
Researcher at United States Environmental Protection Agency
Publications - 99
Citations - 3522
Vlad Isakov is an academic researcher from United States Environmental Protection Agency. The author has contributed to research in topics: Air quality index & Atmospheric dispersion modeling. The author has an hindex of 33, co-authored 96 publications receiving 3096 citations. Previous affiliations of Vlad Isakov include National Oceanic and Atmospheric Administration & Research Triangle Park.
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Journal ArticleDOI
Roadside vegetation barrier designs to mitigate near-road air pollution impacts
TL;DR: The findings presented in the study will assist urban planning and forestry organizations with evaluating different green infrastructure design options.
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Field investigation of roadside vegetative and structural barrier impact on near-road ultrafine particle concentrations under a variety of wind conditions
Gayle S.W. Hagler,Ming Yeng Lin,Andrey Khlystov,Richard Baldauf,Richard Baldauf,Vlad Isakov,James Faircloth,Laura E. Jackson +7 more
TL;DR: Findings support the notion that solid roadside barriers may mitigate near-road impact and encourage research regarding the mitigation potential of vegetative barriers of other configurations (e.g., greater density, wider buffer).
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Traffic and Meteorological Impacts on Near-Road Air Quality: Summary of Methods and Trends from the Raleigh Near- Road Study
Richard Baldauf,Eben D. Thoma,Michael D. Hays,Richard C. Shores,John S. Kinsey,Brian K. Gullett,Sue Kimbrough,Vlad Isakov,Thomas C. Long,Richard Snow,Andrey Khlystov,Jason P. Weinstein,Fu-Lin Chen,Robert L. Seila,David A. Olson,Ian Gilmour,Seung-Hyun Cho,Nealson Watkins,Patricia Rowley,John J. Bang +19 more
TL;DR: Time-resolved measurements of multiple pollutants demonstrated that traffic emissions produced a complex mixture of criteria and air toxic pollutants in this microenvironment, providing a foundation for future assessments of these data to identify the relationship of traffic activity and meteorology on air quality concentrations and population exposures.
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Evaluation of land-use regression models used to predict air quality concentrations in an urban area
TL;DR: In this paper, the authors predicted air quality concentrations of PM 2.5, NO x, and benzene in New Haven, CT using hybrid modeling techniques based on CMAQ and AERMOD model results.
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RLINE: A line source dispersion model for near-surface releases
TL;DR: Venkatram et al. as mentioned in this paper used an efficient numerical integration scheme to integrate the contributions of point sources used to represent a line-source, and the near-surface dispersion algorithms are based on new formulations of horizontal and vertical dispersion within the atmospheric surface layer.