Title: Digital Houston Database Development
1Digital Houston Database Development for
Urban and Neighborhood Scale Meteorological,
Emissions, and Multi-pollutant Air Quality
Modeling
Daewon Byun IMAQS, University of Houston
Jason Ching NOAA EPA
Bob Bornstein San Jose State University
Steven Burian Univ. of Utah
Stephen Stetson GEM
2Land use/Land cover effects on urban meteorology
HARC funding, Texas Forest Service, TCEQ
- ObjectivesStudy of the effects of land use and
land cover modification on the urban heat island
development and on the air quality in the
Houston-Galveston metropolitan area. - Methods
- Conduct meteorological, emissions, and air
quality sensitivity modeling - Improve meteorological simulations by applying
better physics - Incorporate most up-to-dated detailed land use
and land cover data
3dominant landuse data used in MM5
Urban 10 sites Rural 18 sites
4Land use database- TCEQ Biogenic
5Land use database- TCEQ Biogenic
6- New Land Use and Land Cover Database
From Stephen Stetson Texas Forest Service
7Land use database- Forest Services
8Land use database- Forest Services
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10- Air Pollutant Precursor Emissions Characterization
Houston-Galveston
Non-attainment area due to high ground-level
ozone concentrations
Several air quality modeling studies
CMAQ, CAMx and etc.
Available Emissions Inventories
National - NET96, NEI99 from U.S. EPA
State - Texas Emissions Inventory from
TCEQ (Texas Commission on
Environmental Quality)
Emissions processing systems
SMOKE - NET96, NEI99
EPS2 - Texas Emission Inventory (TEI)
11- Air Pollutant Precursor Emissions Characterization
Corporation With HGAC
(g/km/hr)
Houston road network link data showing NOx
emissions
12- Air Pollutant Precursor Emissions Characterization
Corporation With HGAC
CO
(g/km/hr)
Houston road network link data showing CO
emissions
13Alkene Emissions From Point Sources
14- Study fine scale meteorological and air quality
modeling
From Steven Burian
Houston ShipChannel
Houston Downtown
15TNRIS DOQ (1m) Showing UofH Area
16Ship Channel LIDAR data (5 m) w/o DEM
17Houston Downtown
LIDAR data (1 m) w/ DEM
18Houston Downtown
LIDAR data (5 m) w/ shapefiles
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20Houston Baytown
21Houston Baytown
22Houston Baytown ExxonMobil Facility
23Houston Baytown
LIDAR data (1 m) w/ shape files
24Forest land cover
Agricultural land use
Example of digitizing LANDSAT imagery for
identifying agricultural and forest land cover
for the purpose of spatial analysis for Houston
area (GEM, 2003)
25Perils of sampling
5 m DEM
30 m DEM bilinear
30 m DEM nearest
30 m DEM cubic
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40Land Cover Data Digitization
Forest Coniferous
Barren
Forest mixed
Forest broadleaf
Grass
Inland water
Impervious
41Land Use Data Digitization
Agriculture
Range
Airports
Residential
Forests
Rural impervious
Parks
42Transportation Corridors
Land Use Data Digitization
Urban Forest
Urban Barren
Urban grass
Commercial
Urban impervious
Industrial
43Re-estimated area emissions
lt Original gt lt New LC gt
lt New LU gt
44Re-estimated area emissions
lt Original gt lt New LC gt
lt New LU gt
45Re-estimated area emissions
lt Original gt lt New LC gt
lt New LU gt
46Estimation of roughness length
Roughness length processed using the LIDAR data
(from Steven Burian)
Roughness length used in the MM5 land surface
models
47Roughness length processed using the LIDAR data
(from Steven Burian)
Estimation of roughness length
48Estimation of roughness length
Roughness length from the LANDSAT land use and
land cover data (Stephen Stetson)
Stephen Stetson
Roughness length calculated from TFS LU data
after MIMS, applying the same color table.
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50Estimation of roughness length
Roughness length from the LANDSAT land use and
land cover data (Stephen Stetson)
Roughness length calculated from TFS LU data
after MIMS, applying the same color table.
51Plantable areas near Houston
52Estimation of Emissivity
Roughness length from the LANDSAT land use and
land cover data (Stephen Stetson)
53Use of Land use/Land cover and LIDAR building data
urban and neighborhood scale Meteorological
Simulation (urban model) Emissions Processing
(new LU/LC data) Air quality modeling Computatio
nal flow modeling at fine scale