Since 1998, MARAMA has coordinated the development of regional inventories for air quality modeling. States and regional groups use these inventories and the resulting modeling for State implementation Plan (SIP) requirements for ozone, fine particulate and regional haze.
MARAMA convenes a monthly workgroup of Northeastern regional emissions inventory staff. A typical agenda includes an overview of MARAMA inventory products for state review,
Northeast Emissions Inventory Workgroup – Coming Soon.
For the first time ever, states, tribes, multi-jurisdictional organizations (MJOs), and EPA worked together as peers to develop a national Emissions Modeling Platform for base year 2016 (2016 EMP) with future projection years 2023 and 2028. The MJOs and states asked to be actively involved in the development of this modeling platform, and EPA supported this effort within the constraints of available resources. The Inventory Collaborative documentation and analysis files from this platform can be used as emission inputs for ozone and particulate matter (PM) / regional haze modeling by states, tribes, MJOs, and EPA products.
The Collaborative was structured around workgroups organized by emissions inventory sectors. The Electricity Generating Unit (EGU) sector offers two options for future projection year emissions: Eastern Regional Technical Advisory Committee (ERTAC) and EPA Integrated Planning Model (IPM). The Mid-Atlantic and Northeast states use ERTAC EGU emissions to support air quality attainment demonstrations and for SIP development.
The base year of 2016 was chosen by the Collaborative over 2014 (a National Emissions Inventory (NEI) year) as the meteorology for 2014 was not considered representative for air quality modeling purposes, but 2014 NEIv2 emissions were used for several stationary source sectors for which 2016 emissions were not available. MARAMA worked with its member states and the Northeast states in its modeling region to develop growth and control factors to project the 2014 NEIv2 emissions for those sectors to 2016, and another set of factors to project 2016 to 2023 and 2028. The spreadsheet tools that MARAMA developed to generate these factors contain the underlying raw data to create factors for any other future year needed out to 2050.
- 2016 V1 Final Inventory – EPA ftp site
There were three versions of the 2011 Modeling Inventory, Alpha, Beta and Gamma created over a period of about three years. Each version represented improvements to specific sectors. All three versions are included here as they were each used by agencies for different planning studies.
MARAMA convenes a monthly workgroup of Northeastern regional emissions inventory staff. A typical agenda includes an overview of MARAMA inventory products for state review, discussion of regional planning and inventory issues, and a round table of state inventory activities.
- Analysis of Measured 2007 Emissions from Power Plants and Other Large Combustion Sources in the Mid-Atlantic and Northeastern United States
- EGU Condensable PM Emissions 2008 analysis of 162 regional stack tests to derive condensable emission factors for various EGU types.
Targeted Studies to Improve Emissions Estimates of Open Burning
MARAMA projects to analyze and improve estimates of emissions from open Burning are documented at the following links:
- Reasonable Progress for Haze in MANE-VU-2007 analysis of sources and controls addressing numerous source types.
- Open Burning in Residential Areas, Emissions Inventory Development Report-2004
- OMNI RWC Regional Emissions Estimate and Control Analysis-2006
- Pechan RWC Survey and Regional Emissions Estimate 2002
- Statistical Analysis of RWC Emissions
- How to Conduct a Survey of Residential Wood Combustion
- Refinery VOC Emissions 2003 – Recommendations to improve the regional refinery VOC inventory are identified. Existing petroleum refinery emission inventories and estimation methodologies are summarized. Preferred estimation methods are described to encourage both consistency among agencies and the use of more accurate methods.