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Aude Lemonsu, A. Leroux, N. Benbouta, S. Bélair, J. Mailhot
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Aude Lemonsu, A. Leroux, N. Benbouta, S. Bélair, J. Mailhot.

Dec 15, 2015

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Page 1: Aude Lemonsu, A. Leroux, N. Benbouta, S. Bélair, J. Mailhot.

Aude Lemonsu, A. Leroux, N. Benbouta,

S. Bélair, J. Mailhot

Page 2: Aude Lemonsu, A. Leroux, N. Benbouta, S. Bélair, J. Mailhot.

Input data for urban modeling

QH Traffic

QE Traffic

QH Industry

QE Industry

Urban canopy characteristics Vegetation/built fractions Material properties Geometric parameters

▫ Building height

▫ Roughness length

▫ Aspect ratio of street-canyons

Urban LULC classification

Heat and moisture anthropogenic forcing

Traffic (inside street-canyons) Industrial activities (above canopy)

Anthropogenic flux database

Page 3: Aude Lemonsu, A. Leroux, N. Benbouta, S. Bélair, J. Mailhot.

Urban LULC

Building height estimation

15-m elevation databaseSRTM-DEM minus

NED/CDED1

Elevation for built-up pixels

Surface characterization15-m unsupervised

classificationASTER/Landsat-7

40 built and vegetated simple elements regrouped in 11 simple

elements/criteria1.Excluded covers

2.Water3.Trees4.Low

vegetation5.Grass6.Soil and rocks

1.Roof2.Concrete3.Asphalt4.Veg/built 15.Veg/built 2

60-m LULC classification

1.Excluded2.Water3.Soils4.Crops5.Short grass6.Mixed forest7.Mixed shrubs1. High buildings2. Mid-high buildings3. Low buildings4. Very low buildings5. Industrial areas6. Sparse buildings7. Roads and parkings8. Road mix9. Dense residential10.Mid-density

residential11.Low-density

residential12.Mix nature and built

Classification criteria

selection60-m aggregation of classification criteria

1.Excluded covers2.Water3.Trees 4.Low

vegetation5.Grass6.Soil and rocks7.Roof8.Concrete9.Asphalt10.Veg/built 111.Veg/built 2

12.Built

13.Built214.Height

Decision tree

Page 4: Aude Lemonsu, A. Leroux, N. Benbouta, S. Bélair, J. Mailhot.

N

ExcludedWaterTreesLow vegeGrassSoil & rocks

RoofConcreteAsphaltVeg/built 1Veg/built 2

ASTER unsupervised classification Building height estimation

Page 5: Aude Lemonsu, A. Leroux, N. Benbouta, S. Bélair, J. Mailhot.

Urban LULC

Building height estimation

15-m elevation databaseSRTM-DEM minus

NED/CDED1

Elevation for built-up pixels

Surface characterization15-m unsupervised

classificationASTER/Landsat-7

40 built and vegetated simple elements regrouped in 11 simple

elements/criteria1.Excluded covers

2.Water3.Trees4.Low

vegetation5.Grass6.Soil and rocks

1.Roof2.Concrete3.Asphalt4.Veg/built 15.Veg/built 2

60-m LULC classification

1.Excluded2.Water3.Soils4.Crops5.Short grass6.Mixed forest7.Mixed shrubs1. High buildings2. Mid-high buildings3. Low buildings4. Very low buildings5. Industrial areas6. Sparse buildings7. Roads and parkings8. Road mix9. Dense residential10.Mid-density

residential11.Low-density

residential12.Mix nature and built

Classification criteria

selection60-m aggregation of classification criteria

1.Excluded covers2.Water3.Trees 4.Low

vegetation5.Grass6.Soil and rocks7.Roof8.Concrete9.Asphalt10.Veg/built 111.Veg/built 2

12.Built

13.Built214.Height

Decision tree

Page 6: Aude Lemonsu, A. Leroux, N. Benbouta, S. Bélair, J. Mailhot.

High buildingsMid-high buildingsLow buildingsVery low buildingsSparse buildingsIndustrial areas

Roads and parkingsRoad mixDense residentialMid-density residentialLow-density residentialMix of nature and built

SoilsCropsShort grassMixed forestMixed shrubsWater

Excluded

Oklahoma City 60-m resolution classification

N

Page 7: Aude Lemonsu, A. Leroux, N. Benbouta, S. Bélair, J. Mailhot.

Anthropogenic heat database

IndustryState/Month or

year

TrafficCity/Day

Anthropogenicheat sourcesData related with heat

sources

Total daily energy

Spatialdisaggregating

Temporal disaggregating

Daily temporal profile of energy

consumption

▪ Population density▪ Road network▪ Industry land use

Hourly heat fluxes interpolatedon the model grid

– Electricity consumption– Fuel consumption– Vehicle distance traveled

Page 8: Aude Lemonsu, A. Leroux, N. Benbouta, S. Bélair, J. Mailhot.

Anthropogenic heat sources computed for summer

Temporal disaggregating based on Sailor’s works

Spatial disaggregating based on: Population density and road network for traffic sources

Industrial land use for industrial sources

Anthropogenic heat databaseApplication to Oklahoma City

0

2

4

6

8

3 6 9 12 15 18 21 243

4

5

3 6 9 12 15 18 21 24

Electricity consumption(summer)

Vehicular traffic(work day)

Time (LST) Time (LST)

Fract

ion

17:00 LST

Page 9: Aude Lemonsu, A. Leroux, N. Benbouta, S. Bélair, J. Mailhot.

DECIDUOUS BROADLEAF TREES

SHORT GRASSAND FORBS

LONG GRASS

CROPS

MIXED WOODFOREST

VEGETATION CLASSES

LAND/SEA MASK

WATER<80%

BUILT>10%

WATER

ROADS>80%

VEGETATION

BUILT2>20%

ELEVATION>20 m

ROADS ANDPARKINGS

ELEVATION>30 m

ELEVATION>10 m

HIGHBUILDINGS

MID-HIGHBUILDINGS

LOWBUILDINGS

VERY LOW BUILDINGS

RESID + MIX>40%

ELEVATION>30 m

HIGHBUILDINGS

ELEVATION>20 m

MID-HIGHBUILDINGS

ELEVATION>10 m

LOWBUILDINGS

BUILT2>20%BUILT>45%

VERY LOWBUILDINGS

ROADBORDERS

BUILT>70%

BUILT>70%

BUILT2>20%

BUILT>40%

ELEV>10 mBUILT2>20%

ELEV>10 mBUILT2>20%

SPARSEBUILDINGS

LOW VEG+GRASS>60%

DENSERESIDENTIAL

MID-DENSITYRESIDENTIAL ELEVATION

>20 m

ROADBORDERS

ELEVATION>30 m

ELEVATION>10 m

HIGHBUILDINGS

MID-HIGHBUILDINGS

LOWBUILDINGS

VERY LOWBUILDINGS

SPARSEBUILDINGS

ROADBORDERS

LOW-DENSITYRESIDENTIAL

BUILT &NATURE MIX

ROOF>20%

Decision tree