Mitigating New York Citys Heat Island with Urban Forestry, Living - - PowerPoint PPT Presentation

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Mitigating New York Citys Heat Island with Urban Forestry, Living - - PowerPoint PPT Presentation

Mitigating New York Citys Heat Island with Urban Forestry, Living Roofs, and Light Surfaces New York City Regional Heat Island Initiative Cynthia Rosenzweig, NASA/Goddard Institute for Space Studies October 26, 2005 Project Team: William


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SLIDE 1

Mitigating New York City’s Heat Island with Urban Forestry, Living Roofs, and Light Surfaces New York City Regional Heat Island Initiative

Cynthia Rosenzweig, NASA/Goddard Institute for Space Studies October 26, 2005 Project Team: William D. Solecki (Hunter) Jennifer Cox (Hunter), Sara Hodges (Hunter) Stuart Gaffin (Columbia), Richard Goldberg (Columbia), Barry Lynn (Columbia), Lily Parshall (Columbia)

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SLIDE 2

New York City’s Heat Island Archipelago

NASA/GISS Climate Impacts Group

! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! ( ! (

20 25 20 21.1 22.8 24.4 22.2 19.4 21.1 26.1 18.9 20.6 18.9 26.7 23.9 24.4 20.6 22.2 18.3 23.9 22.8 22.8 23.3 18.9 KWRI KTTN KSWF KSMQ KPOU KOXC KNYC KMMU KMMK KMGJ KLGA KJFK KISP KHPN KFWN KFRG KEWR KDXR KCDW KBLM KBDR K12N

1 km Satellite Skin Temperature August 14, 2002, 10:30 AM

NASA/GISS Climate Impacts Group NASA/GISS Climate Impacts Group

NWS Observed Temperature August 14, 2002, 6:00 AM

Temperature (C) < 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52

Tem perature (C ) 18 19 20 21 22 23 24 25 26 27 28

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SLIDE 3

Heat Island Mitigation Strategies

Urban Forestry Tree-planting in open, grassy areas Tree-planting along streets to shade sidewalks and roads Living Roofs Impervious roofs covered with vegetation Light Surfaces All street-level and rooftop impervious surfaces lightened Impervious roofs lightened Combinations: Ecological Infrastructure, Urban Forestry + Light Surfaces

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SLIDE 4

Data Library

Observed Data

  • Meteorological station data from NWS and WeatherBug
  • Heatwave dates: July 2 – 4, July 28 – August 7, August 11 – 18

Satellite Data

  • 3 Landsat images (7/22, 8/14, and 9/8; 10:30 AM, 60 meters)
  • 1 ASTER image (9/8; 10:30 AM, 90 meters)
  • 1 MODIS day-night pair (9/8; 10:30 AM, 1 kilometer)

GIS Data Library

  • Albedo composite (Source: albedo proxy based on Small, 2003)
  • NDVI (Source: calculated from each satellite image)
  • Road Density (Source: Census TIGER 2003)
  • Population Density (Source: Census 2000 Block Groups)
  • Building Square Footage (Source: Tax Parcel Database of NYC)
  • Average Building Height (Source: Tax Parcel Database of NYC)
  • Average Year Built (Source: Tax Parcel Database of NYC)
  • Energy Use (Source: Tax Parcel Database of NYC)

Land Surface Data

  • Database of EMERGE aerial photography (Source: Myeong et al.,

2003)

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SLIDE 5

Case Study Areas

Case study areas and weather stations. Grid boxes correspond to the MM5 model 1.3 km grid. Selection criteria: [1] location within a load pocket, [2] hot spot, [3] available area for testing a range of heat island mitigation strategies. Gridded NDVI with resolution of 250 meters. Gridded surface temperature on September 8, 2002 with resolution

  • f 250 meters.

Note: Lower Manhattan case study links to EPA-funded project

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SLIDE 6

Base Land Surface Cover Percentages

Case Study Area Grass (%) Trees (%) Impervious (%) Street Level Impervious (%) Impervious Roofs (%) Est.

  • Avail. for

Street Trees (%) New York City 14.1 21.9 64.1 45.9 18.1 17.0 Mid-Manhattan West 2.6 3.1 94.3 49.3 45.0 26.1 Lower Manhattan East 8.3 8.1 83.6 48.2 35.4 29.4 Fordham Bronx 9.2 22.1 68.7 47.1 21.5 21.1 Maspeth Queens 17.5 22.3 60.2 38.2 22.0 17.9 Crown Heights 8.1 17.2 74.7 45.6 29.1 24.9 Ocean Parkway 5.5 14.8 79.6 50.8 28.9 23.2

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SLIDE 7

MM5 Regional Climate Model

Surface (skin) Temperature 2-meter air temperature

Impervious

sensible heat flux

Grass Trees

sensible heat flux latent heat flux latent heat flux sensible heat flux Surface (skin) Temperature 2-meter air temperature Surface (skin) Temperature 2-meter air temperature

Impervious

sensible heat flux

Grass Trees

sensible heat flux latent heat flux latent heat flux sensible heat flux

Mitigation Strategies Tested 4 Ways:

1) All else being equal, absolute temperature differences between surface cover types 2) Surface type x area, with base surface and 2-meter air temperature 3) Surface type x area, with weighted average near- surface air temperature 4) Interactive Mitigation scenarios

MM5 v3.7+SEBM

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SLIDE 8

Interactive Mitigation Results

MM5 Base Run 100% Open Space Planting 100% Curbside Planting 100% Light Surfaces

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SLIDE 9

Key Findings

  • Vegetation cools surfaces more effectively than increases in

albedo (light-colored surfaces).

  • Of the mitigation strategies tested, street trees have the largest

cooling potential per unit area.

  • Light surfaces (roofs + streets + sidewalks) offer the greatest

cooling potential city-wide air temperature cooling: 1.3°F (0.7°C)

  • n average – because there is more available area in which to

implement this strategy.

  • Street trees have greater cooling potential than open space

planting.

  • Living roofs have greater cooling potential than light roofs.
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SLIDE 10

Case Study Results

  • Heat island mitigation potential is higher in Mid-

Manhattan West and Lower Manhattan East because there is more available area in which to implement the mitigation strategies in these areas.

  • Crown Heights and Ocean Parkway, both in Brooklyn,

have hotter base surface and near-surface air

  • temperatures. Therefore the marginal benefit of

implementing the strategies in these areas may be higher.

  • Fordham and Maspeth have moderate cooling potential.
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SLIDE 11

Recommendations

1) Implement UHI mitigation strategies appropriate to conditions in individual neighborhoods and communities. 2) Plant street trees as an effective strategy for UHI mitigation in NYC. 3) Implement UHI strategies at large enough extents to be effective. 4) Monitor temperature of tree-planting programs and green roofs to

  • bserve actual mitigation levels over time. Use results to improve

calibration and validation of energy balance and regional climate models. 5) Continue improving satellite data analyses, meteorological datasets, and simple energy and regional climate models to better represent urban areas.