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Heat mitigation through landscape and urban design Using - - PowerPoint PPT Presentation

Heat mitigation through landscape and urban design Using observations and microclimate modeling to find the best strategy SCN Green Infrastructure (GI) Workgroup Meeting April 1, 2014 Ariane Middel, PhD Research Professional, Center for


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Heat mitigation through landscape and urban design

Using observations and microclimate modeling to find the best strategy

Ariane Middel, PhD Research Professional, Center for Integrated Solutions to Climate Challenges Senior Sustainability Scientist, Global Institute of Sustainability SCN Green Infrastructure (GI) Workgroup Meeting April 1, 2014

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Welcome to the desert!

 mild winters

average high temperatures between 66 °F and 71 °F from December to February

 hot summers

average high temperatures

  • ver 100 °F from June - August

annual average rainfall of 8 inches

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 In the summer: high temperatures and increased solar intensity during

the day, Urban Heat Island (UHI) at night

 Impacts

 human health (increased heat stress,

more heat-related illnesses/deaths)

 human comfort  energy consumption for A/C use  water use for irrigation  air quality

It’s a dry heat, they said!

credit: censam.mit.edu

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Examples for heat mitigation strategies

 Urban Forest

 Cools through shading and evapotranspiration

 water use concerns in desert environments

 Urban fabric modification

 high surface albedo increases reflectivity and reduces heat absorption

 research suggests albedo modification impacts precipitation

 Urban form modification

 density and height-to-width ratio of buildings alters ventilation and

wind patterns

What is the site-specific impact of these strategies? How effective are they?

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Why Modeling?

 Knowledge about urban climate is important for designing sustainable cities, but

there is no test bed

 What if?!  Models can help us

 understand present climate and what factors

create a particular climate

 project climatic conditions into the future  run experiments and create scenarios

 Meteorological observations

 also help us understand present climate and what factors create a particular climate  important for climate model validation

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Arizona Maricopa County

Scales in climate modeling

global regional local micro

IPCC’s GCMs WRF model LUMPS model ENVI-met model

scales at which most UHI mitigation strategies are implemented and the effect will be felt most

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Phoenix heat mitigation studies

1.

Urban Form Project

 How does urban form, design, and landscaping affect

mid-afternoon summer microclimate in Phoenix neighborhoods?

2.

Cool Urban Spaces Project

 What are the cooling benefits achieved by

increasing the tree canopy from 10% (current) to 25% (2030 goal)

implementing cool roofs for a typical residential neighborhood in the City of Phoenix under existing conditions and projected warming during pre-monsoon summer?

3.

North Desert Village Tree and Shade Project

 What is the diurnal thermal benefit of tree shade?

1 2 3

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Phoenix heat mitigation studies

1.

Urban Form Project

 How does urban form, design, and landscaping affect

mid-afternoon summer microclimate in Phoenix neighborhoods?

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Middel, A., Häb, K., Brazel, A.J., Martin, C., Guhathakurta, S., 2014. Impact of urban form and design on microclimate in Phoenix, AZ. Landscape and Urban Planning 122, 16–28.

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ENVI-met model

 3D Computational Fluid Dynamics model

 developed by Michael Bruse & team, University of Mainz, Germany

 Model inputs

 plant database  physical soil structure and profile  area input file

(arrangement of built structures and vegetation)

 configuration file

(meteorological data and simulation parameters)

 Model output

 3D microclimate

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Methodology

 ENVI-met model validation

 using meteorological observations from existing neighborhoods in Phoenix  typical Phoenix pre-monsoon summer day (June 23, 2011)

 Development of urban form scenarios

 using “Local Climate Zones” classification after Stewart and Oke (2012)

 ENVI-met simulations

 combining urban form scenarios

with 3 landscaping types

 ensemble of 13 scenarios

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Stewart, I. D., Oke, T. R., 2012. Local climate zones for urban temperatures studies, Bulletin of the American Meteorological Society 93(12), 1879-1900.

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North Desert Village (NDV) location

North Desert Village

N M X O

Study areas N = native M = mesic O = oasis X = xeric

¯

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NDV neighborhoods

  • asis

native mesic xeric

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Data acquisition (I)

meteorological station in the center of each neighborhood

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Data acquisition (II)

Leaf Area Index (LAI) measurements using the Li-Cor LAI-2000 Plant Canopy Analyzer

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Creating an inventory of trees and shrubs

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Model validation (example)

mesic

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Local Climate Zones (LCZs)

 Research framework for urban

heat island studies

 Classification system to standardize

the worldwide exchange of urban temperature observations

 17 zone types at the local scale

(102 to 104 m)

 Each LCZ is unique in its

combination of surface structure, cover, and human activity

Stewart, I. D., Oke, T. R., 2012, Local climate zones for urban temperatures studies, Bulletin of the American Meteorological Society, 93(12), 1879-1900.

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compact highrise compact lowrise

  • pen midrise

compact midrise

  • pen lowrise

100 50 150 200 m

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Landscaping scenarios

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2m air temperature at 3PM (June 23, 2011)

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Diurnal 2m air temperature, xeric

temperature [°C] local time [h] Compact Highrise scenario (CHS)

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Key findings

 Cooling is not only a function of vegetation and surface materials, but also

dependent on the form and spatial arrangement of urban features

 In mid-afternoon, dense urban forms can create local cool islands

 spatial differences in cooling are strongly related

to solar radiation and local shading

 compact scenarios were most advantageous

for daytime cooling

 urban canyon effects produced by arrangement of

mid- to high- rise buildings along the direction of wind flow help in reducing daytime temperatures

 advection is important for the distribution of

within-urban-design temperatures

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Phoenix heat mitigation studies

1.

Cool Urban Spaces Project

 What are the cooling benefits achieved by

 increasing the tree canopy from 10% (current) to 25% (2030 goal)  implementing cool roofs

for a typical residential neighborhood in the City of Phoenix under existing conditions and projected warming during pre-monsoon summer?

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Middel et al., Urban forestry and cool roofs: Assessment of heat mitigation strategies in Phoenix residential neighborhoods. Urban Forestry and Urban Greening, manuscript in preparation.

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Project goal

 Phoenix Tree and Shade Master

Plan (2010)

urban Forestry initiative to incrementally achieve a tree canopy cover goal of 25% by 2030 for the entire city

 Cool Roof initiative

coat 70,000 square feet of the city’s existing rooftops with reflective paint

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 Quantify the thermal impact of two heat mitigation activities currently

undertaken by the City of Phoenix

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Methodology

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 ENVI-met modeling

 simulate an ensemble of tree canopy cover, cool

roof, and climate scenarios for a residential neighborhood in Phoenix

 typical summer day (June 23, 2011)

minimum temperatures of 79 °F (26 °C)

maximum temperatures of 109 °F (43 °C)

no precipitation

no cloud cover

 Analysis of average neighborhood 2m air

temperature at 3PM

mesic

  • asis

xeric

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Step 1: Relationship between tree canopy cover and air temperature

xeric residential neighborhood, current summer conditions, regular roofs

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Tree canopy cover vs. air temperature

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averaged neighborhood 2m air temperatures modeled by ENVI-met for June 23, 2011, 3PM R2 = 0.88 Linear relationship with 0.14 °C cooling per percent increase in tree cover, assuming the same urban form

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Step 2: 54 Tree-roof-climate scenarios

M O X 0%

tree canopy regular roofs

current summer conditions climate scenario 1 (+ 1 °C) climate scenario 2 (+ 3 °C) M O X 10%

tree canopy

M O X 25%

tree canopy

M O X 0%

tree canopy regular roofs

M O X 10%

tree canopy

M O X 25%

tree canopy

M O X 0%

tree canopy regular roofs

M O X 10%

tree canopy

M O X 25%

tree canopy

M O X 0%

tree canopy cool roofs

M O X 10%

tree canopy

M O X 25%

tree canopy

M O X 0%

tree canopy cool roofs

M O X 10%

tree canopy

M O X 25%

tree canopy

M O X 0%

tree canopy cool roofs

M O X 10%

tree canopy

M O X 25%

tree canopy

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Combined tree and landscaping scenarios

mesic

  • asis

xeric 0 % trees 10 % trees 25 % trees

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Current Climate

< 36.3 °C 36.4 – 36.9 °C 37.0 – 37.5 °C 37.6 – 38.1 °C 38.2 – 38.7 °C 38.8 – 39.3 °C 39.4 – 39.9 °C 40.0 – 40.5 °C 40.6 – 41.1 °C 41.2 – 41.7 °C 41.8 – 42.3 °C 42.4 – 42.9 °C 43.0 – 43.5 °C 43.6 – 44.1 °C 44.2 – 44.7 °C 44.8 – 45.3 °C 45.4 – 45.9 °C 46.0 – 46.5 °C 46.6 – 47.1 °C 47.2 – 47.7 °C > 47.7 °C

0 % trees 10 % trees 25 % trees 2m air temperature (3:00 pm)

regular roofs cool roofs

mesic mesic

  • asis

xeric

  • asis

xeric

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Climate Change + 1 °C

< 36.3 °C 36.4 – 36.9 °C 37.0 – 37.5 °C 37.6 – 38.1 °C 38.2 – 38.7 °C 38.8 – 39.3 °C 39.4 – 39.9 °C 40.0 – 40.5 °C 40.6 – 41.1 °C 41.2 – 41.7 °C 41.8 – 42.3 °C 42.4 – 42.9 °C 43.0 – 43.5 °C 43.6 – 44.1 °C 44.2 – 44.7 °C 44.8 – 45.3 °C 45.4 – 45.9 °C 46.0 – 46.5 °C 46.6 – 47.1 °C 47.2 – 47.7 °C > 47.7 °C

0 % trees 10 % trees 25 % trees

regular roofs cool roofs

mesic mesic

  • asis

xeric

  • asis

xeric 2m air temperature (3:00 pm)

2

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Climate Change + 3 °C

< 36.3 °C 36.4 – 36.9 °C 37.0 – 37.5 °C 37.6 – 38.1 °C 38.2 – 38.7 °C 38.8 – 39.3 °C 39.4 – 39.9 °C 40.0 – 40.5 °C 40.6 – 41.1 °C 41.2 – 41.7 °C 41.8 – 42.3 °C 42.4 – 42.9 °C 43.0 – 43.5 °C 43.6 – 44.1 °C 44.2 – 44.7 °C 44.8 – 45.3 °C 45.4 – 45.9 °C 46.0 – 46.5 °C 46.6 – 47.1 °C 47.2 – 47.7 °C > 47.7 °C

0 % trees 10 % trees 25 % trees

regular roofs cool roofs

mesic mesic

  • asis

xeric

  • asis

xeric 2m air temperature (3:00 pm)

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Key findings

 An increase in tree canopy cover yields 0.14 °C cooling per percent increase,

assuming the same urban form

 The relationship between canopy cover and cooling becomes less clear when

examined in combination with varying neighborhood designs

grass and other vegetative cover have an impact on air temperature

modifications of land surface cover changes the heat storage capacity

urban form affects microclimate through a change in wind patterns and shading

the arrangement and type of trees have an impact on the cooling benefit

 At the neighborhood scale

 cool roofs provide a daytime cooling benefit of 0.3 °C (0.5 °F)  an increase in tree canopy cover from 10% to 25% trees

will result in daytime cooling benefits of up to 2 °C (3.6 °F)

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Phoenix heat mitigation studies

1.

North Desert Village Tree and Shade Project

 What is the diurnal thermal benefit of tree shade?

3

Middel, A., K. Häb, A. J. Brazel, C. A. Martin and B. L. Ruddell. 2014. Linking shading patterns of trees in Phoenix, AZ, to thermal comfort. Poster presented at the 11th Symposium on the Urban Environment, American Meteorological Society 94th Annual Meeting, February 2-6, 2014, Atlanta, GA.

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Methodology

 Hourly surface temperature observations

under selected trees in NDV using a FLIR i3 infrared camera

 6 AM to 10 PM on June 21, 2012  meteorological data from NDV weather stations  fisheye photography of the tree canopy

 Extraction of average surface temperature for

shaded and non-shaded surfaces

 Thermal comfort modeling with Rayman

 model calculates atmospheric conditions and human thermal comfort in

urban areas based on meteorological observations and fisheye photos

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Chinese Elm, mesic neighborhood (NDV)

11:00 AM 11:00 AM 07:00 PM

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thermographic images photo

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Fisheye photos

mesic

  • pen

xeric

  • pen

ulmus parvifolia pinus eldarica brachychiton populneus ulmus parvifolia pistacia chinensis parkinsonia florida eucalyptus microtheca eucalyptus microtheca parkinsonia florida

Rayman

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Observations for June 21, 2012

surface temperatures, shaded (x) vs. non-shaded (·)

15 20 25 30 35 40 45 50 55 60 5 7 9 11 13 15 17 19 21 23 [°C] hour of day mesic open mesic L8 mesic M1 mesic M3 mesic M4 mesic M5 15 20 25 30 35 40 45 50 55 60 5 7 9 11 13 15 17 19 21 23 [°C] hour of day xeric open xeric H9 xeric I2 xeric I6 xeric I9

mesic xeric

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Thermal comfort (modeled with Rayman)

15 20 25 30 35 40 45 50 55 5 7 9 11 13 15 17 19 21 23 [°C] hour of day mesic open mesic L8 mesic M1 mesic M3 mesic M4 mesic M5 20 25 30 35 40 45 50 55 60 5 7 9 11 13 15 17 19 21 23 [°C] hour of day xeric open xeric H9 xeric I2 xeric I6 xeric I9

PET (Physiologically Equivalent Temperature) for a woman (65 kg; 1.60 m; 35 years; t-shirt and skirt) mesic xeric

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Key findings

 PET values exceeded 40 °C for 9 consecutive

hours (10 AM – 6 PM) on shaded grass and 11 hours (9AM – 7PM) on shaded gravel

 Tree shade increased thermal comfort by

up to 5 °C PET in the afternoon

 locally, even a single tree can increase thermal comfort during the day,

but the effect is also dependent on the surrounding urban design

 Before sunrise and after sunset, surface temperatures were higher under

the tree canopy than in the open

 canopies function as a trap for outgoing longwave radiation,

retaining heat over both surface types on the order of 1-2 °C PET

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Future work on heat mitigation

 Urban form and design

 investigate impact of urban form and design on nighttime temperatures  analyze microclimate variability at various upwind speeds, times of day and year for

different land cover compositions and patch sizes

 Urban forestry

 quantify the thermal benefits of tree shade in relation to tree species, maturity/size of

trees, leaf area density, tree spacing and clustering

 seasonal assessments of tree canopy shade benefits  analysis of thermal comfort under trees and engineered

canopy using a matrix of various land cover types (grass, inorganic mulch, asphalt, concrete, etc.)

 trade-off between water use and thermal comfort

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Conclusions

 Understanding the dynamics of microclimate is important for the design

  • f sustainable cities

 Modeling and observations can help us

 understand present climate and what factors create a particular climate  assess landscape and urban design strategies for heat mitigation

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Thank you!

Questions?