Eulerian numerical modeling of contaminant transport in Lower Manhattan, New York City, from a point-source release under the dominant wind condition: Insights gained via LES
Wayne R. Oaks, Kevin Flora, Ali Khosronejad

TL;DR
This study uses high-resolution LES to model and analyze the complex airflow and contaminant transport in Lower Manhattan under dominant wind conditions, providing insights into urban pollutant dispersion.
Contribution
It applies Eulerian numerical modeling combined with LES to simulate urban contaminant transport in a detailed cityscape, revealing flow dynamics and pollutant behavior.
Findings
Flow aligns with streets parallel to wind, creating high-velocity cores.
Pollutant plumes rapidly travel downwind when source persists.
Trapped contaminants linger after source removal.
Abstract
Released pollutants and poisonous chemicals in the highly-populated urban areas can spread via wind flow and affect the health, safety, and wellbeing of those close to the source and others downstream. Being able to predict the transport of airborne contaminants in such urban areas could help stakeholders to plan emergency responses. Airflow due to the wind in urban areas with closely packed buildings results in complicated aerodynamics around buildings that, in turn, can lead to intricate contaminant transport phenomena. We conduct high-resolution large-eddy simulation (LES) of airflow in Southern Manhattan, a highly-populated area in New York City, due to a dominant wind blowing from south to north. The LES results show complex flow dynamics around the buildings of various heights and, consequently, complicated contaminant transport processes from a source-point which is located in…
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