AERMOD for near-road pollutant dispersion: Evaluation of model performance with different emission source representations and low wind options

MH Askariyeh, SH Kota, S Vallamsundar… - … Research Part D …, 2017 - Elsevier
The performance of the regulatory dispersion model AERMOD in simulating vehicle-emitted
pollutant concentrations near-roadway using area or volume source representation of …

Simulating the uncertain environmental impact of freight truck shifting programs

H Liu, D Kim - Atmospheric Environment, 2019 - Elsevier
Shifting freight from regular hours to nighttime has been widely used to relieve traffic
congestion and reduce diesel emissions. However, there are also several cities that restrict …

MOVES-Matrix and distributed computing for microscale line source dispersion analysis

H Liu, X Xu, MO Rodgers, YA Xu… - Journal of the Air & …, 2017 - Taylor & Francis
ABSTRACT MOVES and AERMOD are the US Environmental Protection Agency's
recommended models for use in project-level transportation conformity and hot-spot …

A Python toolkit for integrating geographic information system into regulatory dispersion models for refined pollution modeling

H Liu, P Gao, S Xiang, H Zhu, J Chen, Q Fu - Environmental Modelling & …, 2025 - Elsevier
AERMOD is designated as US Environmental Protection Agency (EPA)'s preferred air
dispersion model for refined transportation project hot-spot analyses beginning in 2020. One …

Development of roadway link screening model for regional-level near-road air quality analysis: A case study for particulate matter

D Kim, H Liu, MO Rodgers, R Guensler - Atmospheric environment, 2020 - Elsevier
Conducting high-resolution air quality analysis by applying microscale dispersion models at
the regional scale poses a formidable computing challenge, because a huge number of …

Comparative Analysis of AERMOD-Predicted Pollutant Concentrations by Input Source Type in Atlanta, GA

H Lu, H Liu, D Kim, T Xia, Z Dai… - Transportation …, 2023 - journals.sagepub.com
This research investigates the differences in AERMOD-predicted pollutant concentrations
across input source types (AREAPOLY, VOLUME, LINE, RLINE, and RLINEXT without …

Large-scale, dynamic, microscopic simulation for region-wide line source dispersion modeling

D Kim - 2020 - repository.gatech.edu
Although a variety of modeling tools have been developed to predict potential public
exposure to harmful transportation emissions at regional and sub-regional scales …

[HTML][HTML] Development of Particulate Matter Concentration Estimation Models for Road Sections Based on Micro-Data

D Jung - Sustainability, 2024 - mdpi.com
With increasing global concerns related to global warming, air pollution, and environmental
health, South Korea is actively implementing various particulate matter (PM) reduction …

Internal and external costs of motor vehicle pollution

M Cui, D Levinson - Transportation Research Record, 2020 - journals.sagepub.com
On-road emissions, a dominant source of urban air pollution, damage human health.
Emissions increase air pollution intake (and damage health) of travelers (internal costs), and …

Dynamic grid-receptor method for regional-level near-road air quality analysis

D Kim, H Liu, MO Rodgers, R Guensler - Transportation Research Part D …, 2022 - Elsevier
Although various modeling tools have been developed to predict potential public exposure
to harmful transportation emissions at regional scales, computational efficiency remains a …