This table conveys the majority of the information contained in the graphic. The rest of the information will be described after the table.
| Focus Areas: |
Monitoring | Characterization | Sources | Modeling | Control Strategies |
|---|---|---|---|---|---|
| Proposed Projects: |
P1: Conduct an analysis of preliminary data from PM2.5 monitoring network to identify potential nonattainment areas. - Provides advance warning of potential nonattainment areas. |
P4: Review and update transportation-related source profile information used in PM speciation analysis. - Ensures collection of basic data needed to determine if mobile source PM emissions are a significant contributor to PM problem |
P6: Conduct dynamometer studies of diesel fueled vehicles/engines that are representative of current fleet mix to generate better data on the contribution of diesel vehicles to PM and PM precursor emissions. - Provides primary and precursor data for building models needed to estimate transportation emissions. |
P9: Develop a coordinated model improvement program for incorporating new research on motor vehicle-related emissions into EPA's particulate matter model on a timely basis. - Enhances credibility of models to assess transportation contribution and for control strategy evaluation. |
P12: Analyze the costs and effectiveness of existing transportation source PM control strategies at reducing PM and PM-precursor emissions. |
| P2: Integrate critical transportation sector PM research concerns into EPA's "supersite" PM research program. - Ensures that key transportation elements are incorporated into EPA program to accurately assess transportation contributions. |
P5: Utilize speciation monitoring data to provide an improved understanding of the relative contribution of the relative contribution of transportation to PM. - Provides preliminary indication of extent of mobile source PM emissions that cause PM problem & therefore should be modeled/controlled. |
P7: Conduct dynamometer studies of sample vehicles to determine the impact of gross emitter gasoline powered vehicles on PM emissions. - Provides primary and precursor data for building models needed to estimate transportation emissions. |
P10: Identify improvements needed in travel data to improve the use of the PM emission model for inventory development and analysis. - Enhances credibility of emission inventory for transportation sources, which are used to formulate control strategies. |
P13: Develop a menu of transportation-source PM2.5 control strategies for regions to consider in air quality planning, including an evaluation of costs and effectiveness in different geographic settings. | |
| P3: Examine state-of-the-art techniques for measuring the semi-volatile component of PM. - Critical component of mobile source PM that is presently not well measured. |
P8: Conduct a re-entrained road dust study that identifies the extent to which re-entrained roadway dust contributes to PM2.5 in urban areas in the Eastern United States - Provides a better basis for building models needed to estimate transportation share. |
P11: Develop an ammonia emission component for inclusion in one of EPA's motor vehicle emission factor models. - Important precursor transportation emissions that are not currently modeled. |
P14: Evaluate the interactions between transportation-related particulate matter and ozone control strategies. |
The following table shows how the above research projects relate to the four key transportation policy questions. Many of the projects will assist in answering more than one of the key questions.
| Key Question | Proposed Projects |
|---|---|
| What areas will be in nonattainment? | P1 |
| What kind of problem is PM: local, regional, or both? | P1, P2, P3, P4, P5 |
| What is the transportation contribution to PM? | P4, P5, P6, P7, P8, P9, P10, P11 |
| What are the most cost-effective control strategies for transportation sources? | P9, P10, P11, P12, P13, P14 |
