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A seasonal perspective on regional a...
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University of California, Berkeley.
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A seasonal perspective on regional air quality in Central California.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
A seasonal perspective on regional air quality in Central California./
作者:
Jin, Ling.
面頁冊數:
175 p.
附註:
Adviser: Robert A. Harley.
Contained By:
Dissertation Abstracts International69-09B.
標題:
Atmospheric Sciences. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3331670
ISBN:
9780549833383
A seasonal perspective on regional air quality in Central California.
Jin, Ling.
A seasonal perspective on regional air quality in Central California.
- 175 p.
Adviser: Robert A. Harley.
Thesis (Ph.D.)--University of California, Berkeley, 2008.
California's San Joaquin Valley (SJV) suffers from serious ozone air pollution problems due to its unique trough-like geography and diverse emission sources. Control strategies for ozone precursors---nitrogen oxides (NOX) and volatile organic compounds (VOCs)---need to be determined to bring SJV ozone levels into compliance with increasingly stringent health-based air quality standards. Current practice is to develop control strategies by simulating several 3 or 4-day ozone episodes with the "worst case" weather conditions. There are concerns about models being tuned to perform well by adjusting input data and parameters for specific emission and meteorological conditions, and thus control strategy analyses are not fully credible in simulating ozone responses to emission reductions. More importantly, due to diverse meteorology in central California, it is not known whether control strategies developed from the worst-case episodes are effective for different meteorology and emissions. This research seeks a more comprehensive evaluation of air quality model performance and characterization of ozone variability for the SJV through application of the Community Multiscale Air Quality Model (CMAQ) to central California for an entire summer season.
ISBN: 9780549833383Subjects--Topical Terms:
1019179
Atmospheric Sciences.
A seasonal perspective on regional air quality in Central California.
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California's San Joaquin Valley (SJV) suffers from serious ozone air pollution problems due to its unique trough-like geography and diverse emission sources. Control strategies for ozone precursors---nitrogen oxides (NOX) and volatile organic compounds (VOCs)---need to be determined to bring SJV ozone levels into compliance with increasingly stringent health-based air quality standards. Current practice is to develop control strategies by simulating several 3 or 4-day ozone episodes with the "worst case" weather conditions. There are concerns about models being tuned to perform well by adjusting input data and parameters for specific emission and meteorological conditions, and thus control strategy analyses are not fully credible in simulating ozone responses to emission reductions. More importantly, due to diverse meteorology in central California, it is not known whether control strategies developed from the worst-case episodes are effective for different meteorology and emissions. This research seeks a more comprehensive evaluation of air quality model performance and characterization of ozone variability for the SJV through application of the Community Multiscale Air Quality Model (CMAQ) to central California for an entire summer season.
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Past evaluations of CMAQ have been focused on the eastern United States, with applications usually conducted for high-ozone episodes that last for a few days or weeks. This research provides a suite of benchmarked model inputs that describe variations in both time and space for central California for an entire summer season. A variety of evaluation methods and diagnostic tools have been applied first to refine model inputs and then to evaluate model performance. Gridded meteorological and emission inputs are developed to reflect variability occurring on diurnal, weekly, and seasonal time scales. Driven by these inputs, the model has stable performance for the entire modeling period without the need for ad hoc adjustment of input parameters.
520
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An analysis approach is developed and described to delineate SJV ozone sensitivity regimes (NOx vs VOC) in space and time, and to quantify the relative importance of emission contributions to ozone from local versus upwind air basins. This approach involves application of current sensitivity analysis tools within CMAQ.
520
$a
Cluster analysis techniques are used to identify various types of SJV ozone clusters for summer 2000 based upon the magnitude and spatial extent of daily 8 h ozone maxima. These ozone clusters are found to be associated with distinct meteorological conditions characterized by different temperature fields and flow patterns, which implies differences in ozone production, accumulation, and transport. SJV ozone clusters, their relationship to ozone patterns in upwind areas (i.e., Sacramento Valley and San Francisco Bay area), and the associated meteorological conditions, are compared with those derived from a historical observational data set. The ozone patterns and the associated 2 meteorology seen in previous observations are reflected in my simulation results, providing an indication that the model is able to capture ozone patterns for the right reasons. The worst-case ozone episode is not representative of other high-ozone days in summer 2000, when both ozone production and transport are different.
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The structured data analysis framework with cluster analysis and principal component analysis provides an effective tool to extract information associated with various types of ozone behavior captured in the summer season across different weather conditions. The ozone clusters derived here can serve as a basis for further diagnostic analyses, such as application of sensitivity analysis tools to characterize variability in ozone responses to changes in precursor emissions and intra- versus inter-basin transport of pollutants under different meteorological regimes. Such results are needed to achieve a more comprehensive and effective control strategy design for ozone in the SJV.
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