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

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Presentation on theme: "Aude Lemonsu, A. Leroux, N. Benbouta, S. Bélair, J. Mailhot."— Presentation transcript:

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

2 Input data for urban modeling Q H Traffic Q E Traffic Q H Industry Q E 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

3 Urban LULC Building height estimation 15-m elevation database SRTM-DEM minus NED/CDED1 Elevation for built-up pixels Surface characterization 15-m unsupervised classification ASTER/Landsat-7 40 built and vegetated simple elements regrouped in 11 simple elements/criteria 1.Excluded covers 2.Water 3.Trees 4.Low vegetation 5.Grass 6.Soil and rocks 1.Roof 2.Concrete 3.Asphalt 4.Veg/built 1 5.Veg/built 2 60-m LULC classification 1.Excluded 2.Water 3.Soils 4.Crops 5.Short grass 6.Mixed forest 7.Mixed shrubs 1.High buildings 2.Mid-high buildings 3.Low buildings 4.Very low buildings 5.Industrial areas 6.Sparse buildings 7.Roads and parkings 8.Road mix 9.Dense residential 10.Mid-density residential 11.Low-density residential 12.Mix nature and built Classification criteria selection 60-m aggregation of classification criteria 1.Excluded covers 2.Water 3.Trees 4.Low vegetation 5.Grass 6.Soil and rocks 7.Roof 8.Concrete 9.Asphalt 10.Veg/built 1 11.Veg/built 2 12.Built 13.Built2 14.Height Decision tree

4 N Excluded Water Trees Low vege Grass Soil & rocks Roof Concrete Asphalt Veg/built 1 Veg/built 2 ASTER unsupervised classification Building height estimation

5 Urban LULC Building height estimation 15-m elevation database SRTM-DEM minus NED/CDED1 Elevation for built-up pixels Surface characterization 15-m unsupervised classification ASTER/Landsat-7 40 built and vegetated simple elements regrouped in 11 simple elements/criteria 1.Excluded covers 2.Water 3.Trees 4.Low vegetation 5.Grass 6.Soil and rocks 1.Roof 2.Concrete 3.Asphalt 4.Veg/built 1 5.Veg/built 2 60-m LULC classification 1.Excluded 2.Water 3.Soils 4.Crops 5.Short grass 6.Mixed forest 7.Mixed shrubs 1.High buildings 2.Mid-high buildings 3.Low buildings 4.Very low buildings 5.Industrial areas 6.Sparse buildings 7.Roads and parkings 8.Road mix 9.Dense residential 10.Mid-density residential 11.Low-density residential 12.Mix nature and built Classification criteria selection 60-m aggregation of classification criteria 1.Excluded covers 2.Water 3.Trees 4.Low vegetation 5.Grass 6.Soil and rocks 7.Roof 8.Concrete 9.Asphalt 10.Veg/built 1 11.Veg/built 2 12.Built 13.Built2 14.Height Decision tree

6 High buildings Mid-high buildings Low buildings Very low buildings Sparse buildings Industrial areas Roads and parkings Road mix Dense residential Mid-density residential Low-density residential Mix of nature and built Soils Crops Short grass Mixed forest Mixed shrubs Water Excluded Oklahoma City 60-m resolution classification N

7 Anthropogenic heat database Industry State/Month or year Traffic City/Day Anthropogenic heat sources Data related with heat sources Total daily energy Spatial disaggregating Temporal disaggregating Daily temporal profile of energy consumption ▪ Population density ▪ Road network ▪ Industry land use Hourly heat fluxes interpolated on the model grid – Electricity consumption – Fuel consumption – Vehicle distance traveled

8  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 database Application to Oklahoma City Electricity consumption (summer) Vehicular traffic (work day) Time (LST) Fraction 17:00 LST

9 DECIDUOUS BROADLEAF TREES SHORT GRASS AND FORBS LONG GRASS CROPS MIXED WOOD FOREST VEGETATION CLASSES LAND/SEA MASK WATER<80% BUILT>10% WATER ROADS >80% VEGETATION BUILT2 >20% ELEVATION >20 m ROADS AND PARKINGS ELEVATION >30 m ELEVATION >10 m HIGH BUILDINGS MID-HIGH BUILDINGS LOW BUILDINGS VERY LOW BUILDINGS RESID + MIX >40% ELEVATION >30 m HIGH BUILDINGS ELEVATION >20 m MID-HIGH BUILDINGS ELEVATION >10 m LOW BUILDINGS BUILT2>20% BUILT>45% VERY LOW BUILDINGS ROAD BORDERS BUILT >70% BUILT >70% BUILT2 >20% BUILT >40% ELEV>10 m BUILT2>20% ELEV>10 m BUILT2>20% SPARSE BUILDINGS LOW VEG+ GRASS>60% DENSE RESIDENTIAL MID-DENSITY RESIDENTIAL ELEVATION >20 m ROAD BORDERS ELEVATION >30 m ELEVATION >10 m HIGH BUILDINGS MID-HIGH BUILDINGS LOW BUILDINGS VERY LOW BUILDINGS SPARSE BUILDINGS ROAD BORDERS LOW-DENSITY RESIDENTIAL BUILT & NATURE MIX ROOF>20% Decision tree


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