Texas Emissions Inventory Preparation System for SMOKE

 

The Texas Commission on Environmental Quality (TCEQ) has implemented emissions processing methods for building Texas emissions inventory used for the Houston-Galveston Area state implementation plan modeling studies.  In particular, the inventory data, which include Houston-Galveston Ship Channel point-source speciated VOC emissions, are processed through the EPS2 (Emissions Preprocessing System Version 2) system, GloBEIS3, and EPA’s MOBILE6 modified by the Texas Transportation Institute.  The emissions data are used with the CAMx air quality model to assess the efficacy of the emissions control strategies in the HGA.  As an alternative modeling tool, EPA’s Community Multiscale Air Quality (CMAQ) modeling system, which includes the Sparse Matrix Operator Kernel Emissions (SMOKE) emissions processing system (Coats et al, 1995 and Benjey et al., 2001), is expected to gain more acceptance for air quality studies and eventually for the SIP process.  To evaluate effects of different physical and chemical processes on air quality, up-to-date Texas emissions data must be used.  However, the current Texas EI data format and processing steps are tightly linked with the EPS2 system. 

While the system has proven its capability providing necessary emissions input for CAMx operated by TCEQ, external organizations or university researchers have been unable to test emissions scenarios because they could not generate necessary model-ready emissions data for other air quality models.  One of the key scientific benefits of using the SMOKE system over EPS2 is that it allows easy extension of the chemical mechanisms permitting investigation of the effects of the specific chemical components (e.g., highly reactive C2-C4 olefin species) on ozone production.  With some additional effort, the SMOKE system can be extended to include speciated particulate emissions and air toxic species.  The computational benefits of the SMOKE system include the ability to process emissions much faster than other systems, to minimize redundant data storage for decreased file sizes, and to provide outputs for the CMAQ modeling system (Byun and Ching, 1999) and CAMx.  Coupled with the SMOKE Tool which processes emission shape files for area and mobile sources, SMOKE is a more integrated system than EPS2 and more user-friendly.

 

The main objective of this project is to develop efficient computational tools to convert the Texas emission inventory data into the data format accepted by the SMOKE emissions model, to cross-check the Texas emission inventory by processing with both EPS2 and the SMOKE system, and to extend chemical speciation for the extended mechanism such as SAPRC99 rather than CB-IV.

Figure.  Schematic diagram showing how the Texas emissions inventory is linked to the SMOKE system. Area and point emissions files in EPS2-ready format are implemented into SMOKE to be directly processed after modifications. Since there are differences between EPS2 and SMOKE in preparing the link-based emissions, MOBILE6 outputs are processed externally using EPS2 and internally using SMOKE after pretreatments. Biogenic emissions from BEIS3 in SMOKE are compared with GloBEIS3 outputs provided by TCEQ.

 

Please refer to inventory and database.

 

dia_skyblue.gif Spatial allocation

Comparison of spatial distributions of Texas area source emissions between EPS2 and SMOKE.  Examples show NO and ETH (ethene) emissions for area and nonroad mobile emissions.

EPS_AR_NO.png SMK_AR_NO.png EPS_AR_ETH.png SMK_AR_ETH.png


dia_skyblue.gif Chemical speciation

Based on U.S. EPA- and TCEQ-default split factors for the CB-IV species, different model species are estimated.  To compare domain total emission rates after chemical speciation for the CB-IV mechanism, the ratio of EPS2 to SMOKE processed emission rate for each species is presented by source type; a) area, b) non-road mobile, c) non-electric generating utilities (NEGU) and d) EGU.

chem_spil1.png chem_spil2.png chem_spil3.png chem_spil4.png


dia_skyblue.gif Temporal allocation

Differences in diurnal cycles of NO and VOC speces after chemical speciation are presented.

temporal1.png temporal2.png temporal3.png

 

 

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