HYROAD (HYbrid ROADway Model)

The HYbrid ROADway Model (HYROAD) integrates three modules that simulate the effects of traffic, emissions and dispersion. It is designed to determine hourly concentrations of carbon monoxide (CO) or other gas-phase pollutants, particulate matter (PM) and air toxics from vehicle emissions at receptor locations that occur within 500 meters of the roadway intersections.

trafficemissionsdispersion

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Initial contribute: 2019-10-14

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Application-focused categoriesNatural-perspectiveAtmospheric regions

Detailed Description

English {{currentDetailLanguage}} English

Quoted from: https://www.epa.gov/scram/air-quality-dispersion-modeling-alternative-models#hyroad 

The HYbrid ROADway Model (HYROAD) integrates three historically individual modules that simulate the effects of traffic, emissions and dispersion. The traffic module is a microscale transportation model which simulates individual vehicle movement. The emission module uses speed distributions from the traffic module to determine composite emission factors; spatial and temporal distribution of emissions is based on the vehicle operation simulations. The model tracks vehicle speed and acceleration distributions by signal phase per 10-meter roadway segment for use in both emissions distribution and for induced flows and turbulence. The dispersion module uses a Lagrangian puff formulation, along with a gridded non-uniform wind and stability field derived from traffic module outputs, to describe near-roadway dispersion characteristics. HYROAD is designed to determine hourly concentrations of carbon monoxide (CO) or other gas-phase pollutants, particulate matter (PM) and air toxics - in consultation with appropriate Reviewing Authority - from vehicle emissions at receptor locations that occur within 500 meters of the roadway intersections.

模型元数据

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US Environmental Protection Agency (2019). HYROAD (HYbrid ROADway Model), Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/1dea6e3b-d342-4448-abfe-c4fbb1f52b43
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Contributor(s)

Initial contribute : 2019-10-14

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