Open AccessA new model to estimate regional emissions inventories
Author(s) -
Williams Martin,
Merle J. Brown,
S. D. Elliott
Publication year - 1997
Language(s) - English
Resource type - Reports
DOI - 10.2172/516045
Subject(s) - mesoscale meteorology , environmental science , meteorology , grid , grid cell , air pollution , wind speed , pollution , national laboratory , engineering , geography , ecology , chemistry , organic chemistry , geodesy , engineering physics , biology
This is the final report of a one-year, Laboratory-Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). The project objective was to develop new techniques that employ models and measurements to estimate air pollution emissions at a grid-cell level. Our ultimate objective is to construct a new model for computing gridded air pollution emissions by integrating meteorological, photochemical, and hybrid receptor models. We considered the simpler case of nonreactive emissions and have produced one month of synthetic meteorological data using the HOTMAC mesoscale meteorological model. This required analysis and reformatting of one month`s worth of allow for time-varying upper-level wind input, and the associated data analysis of the model output. The emissions model has been successfully tested against synthetic data and data collected from a field experiment in the El Paso/Juarez area