Future-year ozone prediction for the United States using updated models and inputs

被引:14
作者
Collet, Susan [1 ]
Kidokoro, Toru [2 ]
Karamchandani, Prakash [3 ]
Shah, Tejas [3 ]
Jung, Jaegun [3 ]
机构
[1] Toyota Motor North Amer Inc, 1555 Woodridge, Ann Arbor, MI 48105 USA
[2] Toyota Motor Co Ltd, Shizuoka, Japan
[3] Ramboll Environ US Corp, Novato, CA USA
关键词
DRY DEPOSITION; EMISSIONS; EASTERN; WESTERN; TRENDS; URBAN;
D O I
10.1080/10962247.2017.1310149
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The relationship between emission reductions and changes in ozone can be studied using photochemical grid models. These models are updated with new information as it becomes available. The primary objective of this study was to update the previous Collet et al. studies by using the most up-to-date (at the time the study was done) modeling emission tools, inventories, and meteorology available to conduct ozone source attribution and sensitivity studies. Results show future-year, 2030, design values for 8-hr ozone concentrations were lower than base-year values, 2011. The ozone source attribution results for selected cities showed that boundary conditions were the dominant contributors to ozone concentrations at the western U. S. locations, and were important for many of the eastern U. S. locations. Point sources were generally more important in the eastern United States than in the western United States. The contributions of onroad mobile emissions were less than 5 ppb at a majority of the cities selected for analysis. The higher-order decoupled direct method (HDDM) results showed that in most of the locations selected for analysis, NOx emission reductions were more effective than VOC emission reductions in reducing ozone levels. The source attribution results from this study provide useful information on the important source categories and provide some initial guidance on future emission reduction strategies. Implications: The relationship between emission reductions and changes in ozone can be studied using photochemical grid models, which are updated with new available information. This study was to update the previous Collet et al. studies by using the most current, at the time the study was done, models and inventory to conduct ozone source attribution and sensitivity studies. The source attribution results from this study provide useful information on the important source categories and provide some initial guidance on future emission reduction strategies.
引用
收藏
页码:938 / 948
页数:11
相关论文
共 28 条
[1]   Measured and modeled CO and NOy in DISCOVER-AQ: An evaluation of emissions and chemistry over the eastern US [J].
Anderson, Daniel C. ;
Loughner, Christopher P. ;
Diskin, Glenn ;
Weinheimer, Andrew ;
Canty, Timothy P. ;
Salawitch, Ross J. ;
Worden, Helen M. ;
Fried, Alan ;
Mikoviny, Tomas ;
Wisthaler, Armin ;
Dickerson, Russell R. .
ATMOSPHERIC ENVIRONMENT, 2014, 96 :78-87
[2]  
[Anonymous], 2007, GUIDANCE USE MODELS
[3]   Photochemical Modeling in California with Two Chemical Mechanisms: Model Intercomparison and Response to Emission Reductions [J].
Cai, Chenxia ;
Kelly, James T. ;
Avise, Jeremy C. ;
Kaduwela, Ajith P. ;
Stockwell, William R. .
JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2011, 61 (05) :559-572
[4]   PHOTO-CHEMICAL AIR-POLLUTION IN THE NORTHEAST UNITED-STATES [J].
CLEVELAND, WS ;
GRAEDEL, TE .
SCIENCE, 1979, 204 (4399) :1273-1278
[5]   Future year ozone source attribution modeling studies for the eastern and western United States [J].
Collet, Susan ;
Minoura, Hiroaki ;
Kidokoro, Toni ;
Sonoda, Yukihiro ;
Kinugasa, Yukio ;
Karamchandani, Prakash ;
Johnson, Jeremiah ;
Shah, Tejas ;
Jung, Jaegun ;
DenBleyker, Allison .
JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2014, 64 (10) :1174-1185
[6]   Evaluation of light-duty vehicle mobile source regulations on ozone concentration trends in 2018 and 2030 in the western and eastern United States [J].
Collet, Susan ;
Minoura, Hiroaki ;
Kidokoro, Toru ;
Sonoda, Yukihiro ;
Kinugasa, Yukio ;
Karamchandani, Prakash .
JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2014, 64 (02) :175-183
[7]   The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1): an extended and updated framework for modeling biogenic emissions [J].
Guenther, A. B. ;
Jiang, X. ;
Heald, C. L. ;
Sakulyanontvittaya, T. ;
Duhl, T. ;
Emmons, L. K. ;
Wang, X. .
GEOSCIENTIFIC MODEL DEVELOPMENT, 2012, 5 (06) :1471-1492
[8]   An analysis of long-term regional-scale ozone simulations over the Northeastern United States: variability and trends [J].
Hogrefe, C. ;
Hao, W. ;
Zalewsky, E. E. ;
Ku, J-Y. ;
Lynn, B. ;
Rosenzweig, C. ;
Schultz, M. G. ;
Rast, S. ;
Newchurch, M. J. ;
Wang, L. ;
Kinney, P. L. ;
Sistla, G. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2011, 11 (02) :567-582
[9]  
Johnson J., 2015, 5821110365FY1416 WO
[10]   Examining single-source secondary impacts estimated from brute-force, decoupled direct method, and advanced plume treatment approaches [J].
Kelly, James T. ;
Baker, Kirk R. ;
Napelenok, Sergey L. ;
Roselle, Shawn J. .
ATMOSPHERIC ENVIRONMENT, 2015, 111 :10-19