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PAMS WORKBOOK TABLE OF CONTENTS
Note: EPA no longer updates this information, but it may be useful as a reference or resource.
- PREFACE
- ACKNOWLEDGMENTS
- INTRODUCTION: WORKSHOP ON ANALYSIS OF PAMS DATA
- DATA VALIDATION
- DATA ANALYSIS TECHNIQUES USING HYDROCARBON AND CARBONYL COMPOUNDS
- BIOGENIC EMISSIONS: VOC AND NOx
- ASSESSING OZONE FORMATION POTENTIAL
- EVALUATION OF EMISSION INVENTORIES
- RECEPTOR MODELING
- COMPARISON OF URBAN AIRSHED MODEL (UAM) RESULTS WITH AMBIENT AIR QUALITY DATA
- THE RELATIONSHIPS BETWEEN NOx, NOy, AND OZONE
- UPPER-AIR DATA VALIDATION AND APPLICATIONS
- TREND ANALYSES
- POLLUTANT TRANSPORT ANALYSES
- WORKSHOP SUMMARY
- WORKBOOK ACRONYMS AND DEFINITIONS
PAMS WORKBOOK
OVERVIEW
- INTRODUCTION: WORKSHOP ON ANALYSIS OF PAMS DATA
- workshop objectives
- PAMS overview
- examples of why PAMS data analyses are important
- technical approach and introduction to workshop and workbook
- example flow chart for PAMS data analyses
- assumptions and limitations
- references/bibliography
- DATA VALIDATION
- introduction: why is data validation important?
- data validation objectives
- data validation definitions
- example quality control flags
- AIRS null data reason codes
- general data validation procedures
- examples of problems encountered in databases (and validation actions)
- data validation examples for routine air quality and meteorological measurements
- data validation summary
- references/bibliography
- DATA ANALYSIS TECHNIQUES USING HYDROCARBON AND CARBONYL COMPOUNDS
- definitions
- 1996 list of PAMS target volatile organic compounds
- VOC data retrieval from AIRS
- importance of VOC data validation
- validation tasks, procedures, tips and tricks
- VOC data validation examples
- example validation tool: VOCDat
- spatial and temporal characteristics of VOCs
- VOC data validation summary
- references/bibliography
- BIOGENIC EMISSIONS: VOC AND NOx
- compounds identified as emitted from plant species
- important vegetation for biogenic emissions
- isoprene as a biogenic surrogate
- land use coverage by emission category: VOC and NOx
- relationship of biogenic emissions with temperature and sunlight
- example isoprene data analyses
- biogenic emission research topics
- biogenic emission summary
- references/bibliography
- ASSESSING OZONE FORMATION POTENTIAL
- introduction
- ozone formation potential assessment techniques
- NMOC/NOx and NMOC/NOy ratios
- Ratio analysis along a transport path
- reactivity of hydrocarbons
- Carter's 1994 maximum incremental reactivity values
- examples of reactivity assessment
- relative age of hydrocarbon mixture
- ozone formation potential summary
- references/bibliography
- EVALUATION OF EMISSION INVENTORIES
- objective
- definitions
- introduction
- approach
- ambient data and emission inventory issues
- emission inventory processing software
- emission inventory analyses
- case studies: comparing emission inventories and ambient data
- uncertainty issues: emission inventory, ambient data, comparison-related
- emission inventory evaluation summary
- references/bibliography
- RECEPTOR MODELING
- definitions
- model types
- model limitations
- "simple" analyses
- multivariate analyses overview
- key hydrocarbon species
- cluster analysis example
- factor analysis example
- GRACE/SAFER example
- Chemical Mass Balance Model (CMB)
- CMB assumptions
- CMB application and protocol
- CMB modeling tips
- selecting source profiles and estimating uncertainty
- selecting fitting species
- CMB8.0
- model performance goals
- application examples
- receptor modeling summary
- references/bibliography
- tables of conversion factors for CMB and photochemical half lives of PAMS VOC
- COMPARISON OF URBAN AIRSHED MODEL (UAM) RESULTS WITH AMBIENT AIR QUALITY DATA
- definitions
- introduction
- the urban airshed model (UAM)
- evaluating UAM performance using surface air quality data
- example graphical displays
- statistical parameters for model performance evaluation
- comparison of UAM results with aloft air quality data
- air quality at regional boundaries
- UAM/ambient air quality summary
- references/bibliography
- THE RELATIONSHIPS BETWEEN NOx, NOy, AND OZONE
- introduction
- monitoring issues
- definitions
- analyses using NOx, NOy, and ozone data
- correlation methods
- indicator methods
- observational-based modeling: MAPPER/SPA
- smog production algorithms
- example application
- other techniques
- summary
- references/bibliography
- UPPER-AIR DATA VALIDATION AND APPLICATIONS
- definitions
- upper-air data
- upper-air instruments
- validation of upper-air data
- common problems encountered in upper-air data - discussion
- examples of upper-air data problems
- mixing depth estimates using radar profiler data
- radar profiler reflectivity, Cn2
- boundary layer structure and evolution
- isentropic analysis
- trajectory analysis of surface and aloft transport
- ventilation and recirculation analyses
- upper-air data summary
- references/bibliography
- TREND ANALYSES
- objectives and trend analysis procedures
- selecting an indicator
- adjusting for meteorological variability
- meteorological variables potentially associated with ozone from classification methods
- number of days above 90 F
- Cox and Chu trend analysis method
- Rao and Zurbenko trend analysis method
- detecting trends
- ambient air quality trends
- ozone precursor trends
- ozone precursor emission trends
- trend analysis summary
- references/bibliography
- POLLUTANT TRANSPORT ANALYSES
- definitions
- pollutant transport analyses
- useful data for 3-dimensional analyses
- pollutant transport issues
- approaches to quantifying transport
- boundary layer structure and evolution
- case studies
- isentropic analyses
- ventilation and recirculation
- trajectory analyses
- other tasks for case study analyses
- other available data
- pollutant transport summary
- references/bibliography
- WORKSHOP SUMMARY
- overview
- PAMS data meet a wide range of objectives
- example flow chart for PAMS data analyses
- analysis tools are available
- compare results from different methods (achieve consensus)
- PAMS data analysis and assessment matrix