Sentence examples for road source from inspiring English sources

Each kernel represents the concentration of a primary pollutant (with no chemistry applied) across a regular grid as it dilutes away from a road source of unit emissions.

However, we have demonstrated that this has limited influence on the model predictions, by first, limiting the spatial domain of the roadside model to 225 m from each road source.

Briefly, KCLurban is a dispersion modeling system based on ADMS dispersion model v.4 and road source model v.2.3, which incorporates meteorologic data measured hourly, empirically derived NO NO2 O3 and PM relationships, and emissions from the London Atmospheric Emissions Inventory.

The reclaimed asphalt binders recovered from two road sources were blended at various percentages with 3% RH-WMA additive.

An investigation of the use of a simple NO NO2 O3 chemistry scheme showed good performance close to road sources, and this is also consistent with previous studies.

The 10 m granularity of the road sources was considered to be representative of complex road curves but also the distance between carriageways on larger roads such as motorways.

As expected, the spatial distribution of O3 concentrations (not shown) show the opposite of the NO2 concentration pattern, with the minimum concentration being in the central urban area and close to road sources.

Once created, each kernel was applied to the 1746 major road emissions estimates in the LAEI consisting of ∼340,000 10 m road sources, and the hourly concentration of NO and primary exhaust NO2 combined onto a fixed grid of 20 m × 20 m in London.

The reaction rates and photo-dissociation rates were taken from the photolysis rate pre-processor (JPROC) (Roselle et al., 1999), part of the CMAQ run, and the time of flight from road sources, estimated each hour, as a concentration weighted average at each receptor location, assuming a straight line between source and receptor and using WRF wind speed at 10 m height.

Pollution regulators should also pay more attention to off-road sources of emissions, the report said.

The risk from on-road sources was approximately 5.8 ppl/million, higher than the risk from major, area, and non-road sources (1.8, 2.6, and 1.3 ppl/million), respectively.