Local impact of tree volume on nocturnal urban heat island: a case study in Amsterdam

A. Rafiee, E.S. Dias, E. Koomen

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

The aim of this research is to quantify the local impacts of tree volumes on the nocturnal urban heat island intensity (UHI). Volume of each individual tree is estimated through a 3D tree model dataset derived from LIDAR data and modelled with geospatial technology. Air temperature is measured on 103 different locations of the city on a relatively warm summer night. We tested an empirical model, using multi-linear regression analysis, to explain the contribution of tree volume to UHI while also taking into account urbanization degree and sky view factor at each location. We also explored the scale effect by testing variant radii for the aggregated tree volume to uncover the highest impact on UHI. The results of this study indicate that, in our case study area, tree volume has the highest impact on UHI within 40 m and that a one degree temperature reduction is predicted for an increase of 60,000 m
Original languageEnglish
Pages (from-to)50-61
JournalUrban Forestry & Urban Greening
Volume16
DOIs
Publication statusPublished - 2016

Fingerprint

heat island
case studies
geospatial technology
scale effect
urbanization
regression analysis
air temperature
summer
temperature
testing

Cite this

@article{9a8336ca657b4208a9fdb079720d512f,
title = "Local impact of tree volume on nocturnal urban heat island: a case study in Amsterdam",
abstract = "The aim of this research is to quantify the local impacts of tree volumes on the nocturnal urban heat island intensity (UHI). Volume of each individual tree is estimated through a 3D tree model dataset derived from LIDAR data and modelled with geospatial technology. Air temperature is measured on 103 different locations of the city on a relatively warm summer night. We tested an empirical model, using multi-linear regression analysis, to explain the contribution of tree volume to UHI while also taking into account urbanization degree and sky view factor at each location. We also explored the scale effect by testing variant radii for the aggregated tree volume to uncover the highest impact on UHI. The results of this study indicate that, in our case study area, tree volume has the highest impact on UHI within 40 m and that a one degree temperature reduction is predicted for an increase of 60,000 m",
author = "A. Rafiee and E.S. Dias and E. Koomen",
year = "2016",
doi = "10.1016/j.ufug.2016.01.008",
language = "English",
volume = "16",
pages = "50--61",
journal = "Urban Forestry & Urban Greening",
issn = "1618-8667",
publisher = "Urban und Fischer Verlag GmbH und Co. KG",

}

Local impact of tree volume on nocturnal urban heat island: a case study in Amsterdam. / Rafiee, A.; Dias, E.S.; Koomen, E.

In: Urban Forestry & Urban Greening, Vol. 16, 2016, p. 50-61.

Research output: Contribution to JournalArticleAcademicpeer-review

TY - JOUR

T1 - Local impact of tree volume on nocturnal urban heat island: a case study in Amsterdam

AU - Rafiee, A.

AU - Dias, E.S.

AU - Koomen, E.

PY - 2016

Y1 - 2016

N2 - The aim of this research is to quantify the local impacts of tree volumes on the nocturnal urban heat island intensity (UHI). Volume of each individual tree is estimated through a 3D tree model dataset derived from LIDAR data and modelled with geospatial technology. Air temperature is measured on 103 different locations of the city on a relatively warm summer night. We tested an empirical model, using multi-linear regression analysis, to explain the contribution of tree volume to UHI while also taking into account urbanization degree and sky view factor at each location. We also explored the scale effect by testing variant radii for the aggregated tree volume to uncover the highest impact on UHI. The results of this study indicate that, in our case study area, tree volume has the highest impact on UHI within 40 m and that a one degree temperature reduction is predicted for an increase of 60,000 m

AB - The aim of this research is to quantify the local impacts of tree volumes on the nocturnal urban heat island intensity (UHI). Volume of each individual tree is estimated through a 3D tree model dataset derived from LIDAR data and modelled with geospatial technology. Air temperature is measured on 103 different locations of the city on a relatively warm summer night. We tested an empirical model, using multi-linear regression analysis, to explain the contribution of tree volume to UHI while also taking into account urbanization degree and sky view factor at each location. We also explored the scale effect by testing variant radii for the aggregated tree volume to uncover the highest impact on UHI. The results of this study indicate that, in our case study area, tree volume has the highest impact on UHI within 40 m and that a one degree temperature reduction is predicted for an increase of 60,000 m

U2 - 10.1016/j.ufug.2016.01.008

DO - 10.1016/j.ufug.2016.01.008

M3 - Article

VL - 16

SP - 50

EP - 61

JO - Urban Forestry & Urban Greening

JF - Urban Forestry & Urban Greening

SN - 1618-8667

ER -