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Updated: May 7, 2026

Automated, High-resolution Mobile Collection System for the Nitrogen Isotopic Analysis of NOx
Published on: December 20, 2016
Characterizing the near-road NOx gradient for exposure assessment purposes
Jessica L Levasseur1, Qingyu Meng1, Kristen M Rappazzo1
1U.S. EPA, Center For Public Health and Environmental Assessment, Research Triangle Park, NC 27711, United States.
Background:
Nationwide, in 2020, 24 % of the U.S. population lived near high volume roadways, a source of nitrogen oxides (NOx) and nitrogen dioxide (NO2) emissions. This study synthesizes literature regarding NOx and NO2 gradients in the near-road environment to understand community exposures. We synthesize literature reporting measured NOx and NO2 concentrations at increasingly large distances from a single roadway and variables impacting those concentrations.
Methods:
Using the systematic literature search devised by U.S. EPA to develop Integrated Science Assessments, we identified publications that focused on near-road gradients of NO2 and NOx. The literature around near-road decay gradients were synthesized and summarized. Concentrations, distance to roadway, and other relevant information were extracted and analyzed using visual and regression methods to better understand the near-road decay gradient.
Results:
Concentrations of NOx and NO2 decrease with increasing distance from major roadways, following nonlinear decay patterns. Analyzing these data revealed a decreasing power decay trendline. NOx and NO2 concentrations typically reduced approximately to background levels by 500 m, with the steepest decline occurring within 50 m from roadways. Concentrations increased with cooler temperatures and higher traffic.
Conclusion:
Gradients characterized by this review described how near-road populations are exposed to NOx and the variables that may better describe community exposure. This review provides a quantitative research synthesis of variables most impactful on near-road gradient exposures to NOx. Various meteorological and traffic variables were found to impact near-road gradients, though the gradient was driven by distance from the road.
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