R-LINE
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Overview*
- A research-grade dispersion model for estimating near-road
pollutant concentrations from near-surface emissions from roads and
other line sources.
- Appropriate for
flat roadways (no surrounding major complexities).
- Handles intersections and crossing roads.
- Handles curved roads.
- Handles minor complexities often associated with the roads themselves: (noise and vegetative barriers,
depressed roadways, etc).
- Written in fortran. Tested with gfortran compiler.
Used For*
- Risk assessments and health studies related to pollutants measured at receptors very near
the source line/roadway.
- NOT appropriate for regulatory applications (e.g. NAAQS
compliance and enforcement, NSR/PSD permitting, PM Hot-spot Conformity
Analyses, SIP analysis, etc) because it has not undergone the extensive
testing and comprehensive evaluation for such regulatory use.
* from https://www.cmascenter.org/r-line/
Model Dynamics, Physics & Parameterizations*
- uses a steady-state Gaussian formulation that is designed to simulate line type source emissions (e.g. mobile
sources along roadways) by numerically integrating point source
emissions. (beta option includes algorithms for analytical solution)
- contains new (field study and wind tunnel based)
formulations for the vertical and lateral dispersion rates,
- also simulates
low-wind-speed meander conditions,
- includes Monin-Obukhov similarity
profiling of winds near the surface
- selects plume-weighted winds
for transport and dispersion calculations.
- utilizes the
surface meteorology provided by the AERMET meteorological data
preprocessor
- includes user-friendly input requirements such as
simplified road-link specifications.
Code sources
-
https://www.cmascenter.org/r-line/
- Also uses AERMET (see more info in the AERMOD portion of this course).
- Source download: https://www.cmascenter.org/download/forms/step_1.cfm
Resources
- Users manual: https://www.cmascenter.org/help/documentation.cfm?model=r-line
Model running resources and tips
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http://www.eos.ubc.ca/courses/atsc507/ADM/
Copyright © 2018 by Roland Stull.