Using GIS Technology for Emission Inventory and Air Quality Applications
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Transcript of Using GIS Technology for Emission Inventory and Air Quality Applications
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Using GIS Technology for Emission Inventory and Air Quality Applications
Prepared by:Tami H. Funk
Lyle R. ChinkinSonoma Technology, Inc.
Petaluma, CA
SCOS97-NARSTO DATA ANALYSIS CONFERENCE February 14, 2001
STI-2059
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Overview
• Introduction to Geographic Information System (GIS)
• Emission inventory-related GIS applications
• Air quality-related GIS applications
• Summary
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Introduction
• GIS provides a method to display a large amount of data in a meaningful way.
• Visualize patterns.
• Integrate, manage, solve, and present information in an interpretive way.
TABLE GRAPH GIS
• Analyze spatial problems and make decisions.
• Illustrate and enhance data quality assurance.
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Emission Inventory Applications (1 of 4)
• Display and analyze emissions densities and spatial distribution.
• Develop gridded surrogates for distributing county-wide emissions.
• Verify and “ground truth” emissions sources using several sources of data.
• Link interactive databases to geographic features.
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Emission Inventory Applications (2 of 4)
Emissions from Consumer Products - Los Angeles Co.
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Emission Inventory Applications (3 of 4)
Air Quality Site Characterization and Emissions Activity Databases
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Emission Inventory Applications (4 of 4)
KilometersKilometersKilometersKilometersKilometersKilometersKilometersKilometersKilometers
000000000 111111111 222222222
U.S. NavalU.S. NavalU.S. NavalU.S. NavalU.S. NavalU.S. NavalU.S. NavalU.S. NavalU.S. NavalStationStationStationStationStationStationStationStationStation
U.S. NavalU.S. NavalU.S. NavalU.S. NavalU.S. NavalU.S. NavalU.S. NavalU.S. NavalU.S. NavalAir StationAir StationAir StationAir StationAir StationAir StationAir StationAir StationAir Station
I- 5I- 5I- 5I- 5I- 5I- 5I- 5I- 5I- 5
I- 5I- 5I- 5I- 5I- 5I- 5I- 5I- 5I- 5
State Hwy 94State Hwy 94State Hwy 94State Hwy 94State Hwy 94State Hwy 94State Hwy 94State Hwy 94State Hwy 94
Wab
ash
Wab
ash
Wab
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Wab
ash
Wab
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Wab
ash
Wab
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Wab
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SAN DIEGO INTL-LINDBERGH FLDSAN DIEGO INTL-LINDBERGH FLDSAN DIEGO INTL-LINDBERGH FLDSAN DIEGO INTL-LINDBERGH FLDSAN DIEGO INTL-LINDBERGH FLDSAN DIEGO INTL-LINDBERGH FLDSAN DIEGO INTL-LINDBERGH FLDSAN DIEGO INTL-LINDBERGH FLDSAN DIEGO INTL-LINDBERGH FLD
Auto Repair Shops
Dry Cleaning Facilit ies
Restaurants/Bakeries
Gasoline Serv ice Stations
LEGEND
SPM Site
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Exposure Applications (1 of 7)
• Spatial analysis and display of air quality data
• Verify locations of sources and receptors for modeling
• Exposure analyses
• Data quality assurance
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0 - 60 ppb61 - 79 ppb80 - 99 ppb100 - 110 ppb111 - 124 ppb125+ ppb
1-hr Average Peak OzoneConcentrationsSacramento Region
Air Quality Data Mapping
Exposure Applications (2 of 7)
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Exposure Applications (3 of 7)
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Air Quality Exposure Analysis
Exposure Applications (4 of 7)
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3188
454 km Grid Resolution
3376
37247
192
00
Houston
Number of Person Days Per Year450,000 to 800,000260,000 to 450,000125,000 to 260,000
40,000 to 125,0008,000 to 40,000
0 to 8,000
3188
454 km Grid Resolution
3376
37247
192
00
Houston
Spatial distribution of person-daysper year of exposures to 8-hrmaximum outdoor ozone concentrationsabove 80 ppb in Houston, Texas, for1993-1995 (Lurmann et. al., 1999).
Air Quality Exposure Analysis
Exposure Applications (5 of 7)
Number of Person-days Per Year
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DataQuality Assurance
Exposure Applications (6 of 7)
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MappingAir Quality Sampling
Flight Paths
Exposure Applications (7 of 7)
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Summary
• New and improved geographical data are rapidly becoming available with the widespread use of GIS technology.
• GIS provides an easy way to QA, display, and analyze emissions and air quality data.
• Geodatabases provide a way to link tabular data to geographical maps.
• Many other potential applications.