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Digital Houston Database Development

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Title: Digital Houston Database Development


1
Digital 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
2
Land 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

3
dominant landuse data used in MM5
Urban 10 sites Rural 18 sites
4
Land use database- TCEQ Biogenic
5
Land use database- TCEQ Biogenic
6
  • New Land Use and Land Cover Database

From Stephen Stetson Texas Forest Service
7
Land use database- Forest Services
8
Land 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
13
Alkene Emissions From Point Sources
14
  • Study fine scale meteorological and air quality
    modeling

From Steven Burian
Houston ShipChannel
Houston Downtown
15
TNRIS DOQ (1m) Showing UofH Area
16
Ship Channel LIDAR data (5 m) w/o DEM
17
Houston Downtown
LIDAR data (1 m) w/ DEM
18
Houston Downtown
LIDAR data (5 m) w/ shapefiles
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Houston Baytown
21
Houston Baytown
22
Houston Baytown ExxonMobil Facility
23
Houston Baytown
LIDAR data (1 m) w/ shape files
24
Forest 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)
25
Perils of sampling
5 m DEM
30 m DEM bilinear
30 m DEM nearest
30 m DEM cubic
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40
Land Cover Data Digitization
Forest Coniferous
Barren
Forest mixed
Forest broadleaf
Grass
Inland water
Impervious
41
Land Use Data Digitization
Agriculture
Range
Airports
Residential
Forests
Rural impervious
Parks
42
Transportation Corridors
Land Use Data Digitization
Urban Forest
Urban Barren
Urban grass
Commercial
Urban impervious
Industrial
43
Re-estimated area emissions
lt Original gt lt New LC gt
lt New LU gt
44
Re-estimated area emissions
lt Original gt lt New LC gt
lt New LU gt
45
Re-estimated area emissions
lt Original gt lt New LC gt
lt New LU gt
46
Estimation of roughness length
Roughness length processed using the LIDAR data
(from Steven Burian)
Roughness length used in the MM5 land surface
models
47
Roughness length processed using the LIDAR data
(from Steven Burian)
Estimation of roughness length
48
Estimation 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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50
Estimation 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.
51
Plantable areas near Houston
52
Estimation of Emissivity
Roughness length from the LANDSAT land use and
land cover data (Stephen Stetson)
53
Use 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
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