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Example Open Source Test Methods:

Method Name 

Monitor
Configuration
 

Platform 

Monitor Location 

 

OTM Publication
Status

Reverse dispersion modeling

Single height 

Fixed 

Ground based [within plume] 

Posted by EPA as
OTM 30
 

Plume (flux) profiling

Multiple height (tower)

 

Fixed

Ground based [within plume] 

Review draft submitted to EPA in July 2012; Comments received from EPA 

Mobile monitoring

Vehicle-mounted 

 Mobile

Ground based

[within plume] 

Internal draft in process 

Quasi-stack testing

Overhead “hood” 

Fixed 

Ground based [within captured plume] 

Under consideration 

Overhead scanning

RS satellite-mounted 

Mobile 

Remote sensing (RS) or stand-off detection (SD) [outside of plume] 

Under consideration

Lateral scanning

 SD (path integrating)

Fixed 

Remote sensing (RS) or stand-off detection (SD) [outside of plume] 

Under consideration

*RS denotes remote sensing, and SD denotes standoff detection

Reverse Dispersion Modeling (previously termed upwind/downwind monitoring)

 

An atmospheric dispersion model is applied “in reverse” to calculate the emission rate from an area source that produces the pollutant concentration increment (above background) measured at a downwind monitoring station, taking into account the meteorological conditions observed during the monitoring period. Ideally the meteorological conditions (especially wind speed and direction) are relatively consistent during the measurement period, which generally limits the test period to about an hour. For large area sources with typically non-uniform emissivity, such as a dust storm generated by a dry lake bed, it is important to have an independent measure of the source emissivity, so that the composite emission rate can be spatially partitioned across the area source as an input to the dispersion model.

 

Plume (flux) profiling

 

A one-dimensional array of samplers (typically mounted on a single tower) is used to measure time-integrated pollutant concentration and wind speed as a function of height as the basis for calculation of the pollutant flux from a line source (or moving point source). For a fixed “point” or area source, a two-dimensional array (multiple towers) is required. The calculation scheme is based on a mass-balance approach and does not require assumptions about the specifics of the vertical plume profile as long as it can be shown that about 80 percent of the plume mass lies within the sampling array.

 

Mobile monitoring

 

A pollutant monitor is mounted on a vehicle that measures lateral profiles or distance profiles of concentration downwind of a source (typically an active roadway) with a steady-state emission rate. In a special application for road dust emissions, the particulate-monitoring vehicle travels over the roadway system with GPS resolution so that emissivity maps of the roadway system can be generated. In most cases, the monitoring vehicle travels at constant speed while gathering data.

Quasi-stack testing

An overhead hood is used to capture the open source plume and convert it to a ducted source, so that conventional stack testing methods can be applied for emission rate determination. Examples of plume capture systems include roadway tunnel configurations with air evacuation/ventilation systems, and large hoods positioned above high temperature emissions exhibiting strong thermal plume rise.

Overhead scanning

Satellite or aircraft-mounted scanners with multiple wavelengths measure plume intensity to ground surface characteristics (e.g., soil properties) that are directly related to source emissivity.
 
Lateral scanning
 
A remote sensing device, operating as a standoff detection system, is used to scan the plume across a plane located downwind of the source and at right angles to the wind direction. Plume concentrations are integrated values across the line of site. Wind speed as a function of height above ground is also required. The plume flux calculation scheme is similar to that used for the plume profiling method described above.