Impact/Purpose:

To improve the accuracy of emissions and dry deposition algorithms in the Agency's regulatory air quality and multimedia simulation models. This effort requires developing process-oriented algorithms, assembling geographical data, evaluating algorithms against field data, and designing and collaborating on field experiments to collect the data needed to test these algorithms.

Description:

This task supports the development, evaluation, and application of emission and dry deposition algorithms in air quality simulation models, such as the Models-3/Community Multiscale Air Quality (CMAQ) modeling system. Emission estimates influence greatly the accuracy of air quality predictions, and significant effort is required to generate reliable emission modeling tools from static emission inventory estimates. Dry deposition algorithms are needed for parameterizing the exchange of pollutants and their precursors between vegetative surfaces and the atmosphere. Dry deposition algorithms are especially needed for estimating the surface fluxes of nitrogen, mercury, and various toxic compounds. To be effective, dry deposition algorithms must be integrated with other surface exchange modules that simulate moisture, energy, and momentum fluxes. This task also includes land-use characterization and the generation of other landscape data sets (such as geology, hydrology, human activity indicators), which are critical inputs for dry deposition and emission modeling tools.

Record Details:

Record Type:PROJECT

Start Date:07/01/1998

Completion Date:09/30/2002

Record ID: 56137

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Project Information:

Progress :During FY2001, significant progress was made on improving dry deposition modeling, on incorporating geographical databases for the MIMS/CMAQ prototype, on integrating advanced emission processors, and on developing and applying advanced techniques for evaluating emission estimates. Specific FY2001 accomplishments included the following:

Complete initial testing of a Bayesian inverse modeling approach for air quality emission deduction, Person Responsible: A. Gilliland (9/2001)

Incorporation of the Sparse Matrix Operator Kernel Emission (SMOKE) Processor and the SMOKE Tool Processor into the Models-3 Emission Processor, Person Responsible: W. Benjey (6/2001)

Incorporation of BEIS-3 and 1 km vegetation cover data in the Models-3 SMOKE processor, Persons Responsible: T. Pierce and W. Benjey (6/2001)

Dataset collection to support MIMS prototype testing, Person Responsible: T. Pierce (6/2001)

Journal article - "A sensitivity study of the discrete Kalman filter (DKF) to initial condition discrepancies", J. Geophys. Res., vol. 106 (2001), pp. 17939-17952, EPA author: A. Gilliland (2/2001)

A model of deposition processes incorporating photosynthetic controls, Persons Responsible: Y. Wu and B. Brashers (12/2000)

Poster presentation - "Inverse modeling to estimate seasonal ammonia emissions", presented at the Chesapeake Bay Program's Airsheds and Watersheds III: A Shared Resources Workshop, Person Responsible: A. Gilliland (11/2000)

Accomplishments from previous years include the following:

Journal article - "Ozone and sulfur dioxide dry deposition to forests: observations and model evaluation", J. Geophys. Res., vol. 105 (2000), pp. 15365-15377, EPA authors: P. Finkelstein, T. Ellestad, and D. Schwede (6/2000)

Identification of data set needs for the prototype version of MIMS, Person Responsible: W. Benjey (6/2000)

Journal article - "Biogenic nitric oxide emissions from cropland soils", Atmospheric Environment, vol. 35 (2001), pp. 115-124, EPA authors: B. Gay, C. Geron, and T. Pierce (5/2000)

Journal article - "Sensitivity of the NOAA multilayer model to instrument error and parameterization uncertainty", J. Geophys. Res., vol. 105 (2000), pp. 6695-6707, EPA authors: E. Cooter and D. Schwede (3/2000)

Conference paper - "Examining the temporal variability of ammonia and nitric oxide emissions from agricultural process", in: Proceedings of the 1999 AWMA/EPA Emission Inventory Conference, EPA author: T. Pierce (1/2000)

Journal article - "Natural emissions of non-methane volatile organic compounds, carbon monoxide, and oxides of nitrogen from North America", Atmospheric Environment, vol. 34 (2000), pp. 2205-2230, EPA authors: C. Geron and T. Pierce (7/1999)

Conference paper - "Overview of the Ozark Isoprene Experiment (OZIE)", in: Proceedings of the AWMA 1999 Annual Conference, EPA author: T. Pierce (6/1999)

Journal article - "Biogenic fraction of ambient VOC: comparison from radiocarbon, chromatographic, and emission inventory estimates for Atlanta, Georgia", J. Air & Waste Manage. Assoc., vol. 49 (1999), pp. 299-307, EPA authors: C. Lewis, R. Stevens, and T. Pierce (5/1999)

Journal article - "Inventorying emissions from nature in Europe", J. Geophys. Res., vol. 104 (1999), pp. 8113-8152, EPA author: T. Pierce. (4/1999)

Computer code - Public release of the Biogenic Emissions Inventory System, version 2.3 (BEIS 2.3) available at: http://www.epa.gov/asmdnerl/biogen.html (11/1998)

Conference paper - "Development of a 1-km resolved vegetation cover data base for regional air quality modeling", in: Proceedings of the AMS 23rd Conference on Agricultural and Forest Meteorology, EPA authors: T. Pierce and C. Geron (11/1998)

Journal article - "Influence of increased isoprene emissions on regional ozone modeling", J. Geophys. Res., vol. 103 (1998), pp. 25611-25629, EPA aut

Relevance : Spatially and temporally resolved emission data are required for atmospheric and water quality model development and regulatory applications. This R&D effort is essential to provide the data and tools necessary to prepare emissions estimates for GPRA directed EPA modeling studies and for use by States in developing their State Implementation Plans. Improvements in dry deposition and surface exchange process models are essential for credible air quality and multimedia model development.

Clients :Office of Air Quality Planning and Standards, Clean air Market Division, Office of Water, Academic and private environmental researchers, Federal State, and Regional policy and regulatory decision-makers

Project IDs:

ID Code :3869

Project type :OMIS