Assessing the nonlinear response of fine particles to precursor emissions [electronic resource] : Development and application of an extended response surface modeling technique v1.0.
- Washington, D.C. : United States. Dept. of Energy, 2015.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy
- Physical Description:
- pages 115-128 : digital, PDF file
- Additional Creators:
- Pacific Northwest National Laboratory (U.S.)
United States. Department of Energy
United States. Department of Energy. Office of Scientific and Technical Information
- An innovative extended response surface modeling technique (ERSM v1.0) is developed to characterize the nonlinear response of fine particles (PM2̣5) to large and simultaneous changes of multiple precursor emissions from multiple regions and sectors. The ERSM technique is developed based on the conventional response surface modeling (RSM) technique; it first quantifies the relationship between PM2̣5 concentrations and the emissions of gaseous precursors from each single region using the conventional RSM technique, and then assesses the effects of inter-regional transport of PM2̣5 and its gaseous precursors on PM2̣5 concentrations in the target region. We apply this novel technique with a widely used regional chemical transport model (CTM) over the Yangtze River delta (YRD) region of China, and evaluate the response of PM2̣5 and its inorganic components to the emissions of 36 pollutant–region–sector combinations. The predicted PM2̣5 concentrations agree well with independent CTM simulations; the correlation coefficients are larger than 0.98 and 0.99, and the mean normalized errors (MNEs) are less than 1 and 2% for January and August, respectively. It is also demonstrated that the ERSM technique could reproduce fairly well the response of PM2̣5 to continuous changes of precursor emission levels between zero and 150%. Employing this new technique, we identify the major sources contributing to PM2̣5 and its inorganic components in the YRD region. The nonlinearity in the response of PM2̣5 to emission changes is characterized and the underlying chemical processes are illustrated.
- Published through SciTech Connect.
Geoscientific Model Development (Online) 8 1 ISSN 1991-9603 AM
Zhao, B. [Tsinghua Univ., Beijing (China)]; S. X. Wang; Xing, J. [U.S. Environmental Protection Agency, Research Triangle Park, NC (United States)]; Fu, K. [Tsinghua Univ., Beijing (China)]; Fu, J. S. [Univ. of Tennessee, Knoxville, TN (United States)]; Jang, C. [U.S. Environmental Protection Agency, Research Triangle Park, NC (United States)]; Zhu, Y. [South China Univ. of Technology (SCUT), Guangzhou (China)]; Dong, X. Y. [Univ. of Tennessee, Knoxville, TN (United States)]; Y. Gao; Wu, W. J. [Tsinghua Univ., Beijing (China)]; Wang, J. D. [Tsinghua Univ., Beijing (China)]; J. M. Hao.
- Funding Information:
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