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Development and application of an urban tree air quality score for photochemical pollution episodes using the Birmingham, United Kingdom, area as a case study

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Development and application of an urban tree air quality score for photochemical pollution episodes using the Birmingham, United Kingdom, area as a case study. / Donovan, R G ; Stewart, Hope; Owen, S M et al.

In: Environmental Science and Technology, Vol. 39, No. 17, 2005, p. 6730-6738.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Donovan, R G ; Stewart, Hope ; Owen, S M et al. / Development and application of an urban tree air quality score for photochemical pollution episodes using the Birmingham, United Kingdom, area as a case study. In: Environmental Science and Technology. 2005 ; Vol. 39, No. 17. pp. 6730-6738.

Bibtex

@article{eb2e730787774fcd93193ab904475c8c,
title = "Development and application of an urban tree air quality score for photochemical pollution episodes using the Birmingham, United Kingdom, area as a case study",
abstract = "An atmospheric chemistry model (CiTTyCAT) is used to quantify the effects of trees on urban air quality in scenarios of high photochemical pollution. The combined effects of both pollutant deposition to and emission of biogenic volatile organic compounds (BVOC) from the urban forest are considered, and the West Midlands, metropolitan area in the UK is used as a case study. While all trees can be beneficial to air quality in terms of the deposition of O-3, NO2, CO, and HNO3, some trees have the potential to contribute to the formation of O-3 due to the reaction of BVOC and NOx. A number of model scenarios are used to develop an urban tree air quality score (UTAQS) that ranks trees in order of their potential to improve air quality. Of the 30 species considered, pine, larch, and silver birch have the greatest potential to improve urban air quality, while oaks, willows, and poplars can worsen downwind air quality if planted in very large numbers. The UTAQS classification is designed with practitioners in mind, to help them achieve sustainable urban air quality. The UTAQS classification is applicable to all urban areas of the UK and other mid-latitude, temperate climate zones that have tree species common to those found in UK urban areas. The modeling approach used here is directly applicable to all areas of the world given the appropriate input data. It provides a tool that can help to achieve future sustainable urban air quality.",
keywords = "CARBON STORAGE, MODEL, EMISSIONS, SENSITIVITY, ISOPRENE, RECOVERY, FORESTS, GAS",
author = "Donovan, {R G} and Hope Stewart and Owen, {S M} and Rob Mackenzie and Hewitt, {C. N.}",
year = "2005",
doi = "10.1021/es050581y",
language = "English",
volume = "39",
pages = "6730--6738",
journal = "Environmental Science and Technology",
issn = "0013-936X",
publisher = "American Chemical Society",
number = "17",

}

RIS

TY - JOUR

T1 - Development and application of an urban tree air quality score for photochemical pollution episodes using the Birmingham, United Kingdom, area as a case study

AU - Donovan, R G

AU - Stewart, Hope

AU - Owen, S M

AU - Mackenzie, Rob

AU - Hewitt, C. N.

PY - 2005

Y1 - 2005

N2 - An atmospheric chemistry model (CiTTyCAT) is used to quantify the effects of trees on urban air quality in scenarios of high photochemical pollution. The combined effects of both pollutant deposition to and emission of biogenic volatile organic compounds (BVOC) from the urban forest are considered, and the West Midlands, metropolitan area in the UK is used as a case study. While all trees can be beneficial to air quality in terms of the deposition of O-3, NO2, CO, and HNO3, some trees have the potential to contribute to the formation of O-3 due to the reaction of BVOC and NOx. A number of model scenarios are used to develop an urban tree air quality score (UTAQS) that ranks trees in order of their potential to improve air quality. Of the 30 species considered, pine, larch, and silver birch have the greatest potential to improve urban air quality, while oaks, willows, and poplars can worsen downwind air quality if planted in very large numbers. The UTAQS classification is designed with practitioners in mind, to help them achieve sustainable urban air quality. The UTAQS classification is applicable to all urban areas of the UK and other mid-latitude, temperate climate zones that have tree species common to those found in UK urban areas. The modeling approach used here is directly applicable to all areas of the world given the appropriate input data. It provides a tool that can help to achieve future sustainable urban air quality.

AB - An atmospheric chemistry model (CiTTyCAT) is used to quantify the effects of trees on urban air quality in scenarios of high photochemical pollution. The combined effects of both pollutant deposition to and emission of biogenic volatile organic compounds (BVOC) from the urban forest are considered, and the West Midlands, metropolitan area in the UK is used as a case study. While all trees can be beneficial to air quality in terms of the deposition of O-3, NO2, CO, and HNO3, some trees have the potential to contribute to the formation of O-3 due to the reaction of BVOC and NOx. A number of model scenarios are used to develop an urban tree air quality score (UTAQS) that ranks trees in order of their potential to improve air quality. Of the 30 species considered, pine, larch, and silver birch have the greatest potential to improve urban air quality, while oaks, willows, and poplars can worsen downwind air quality if planted in very large numbers. The UTAQS classification is designed with practitioners in mind, to help them achieve sustainable urban air quality. The UTAQS classification is applicable to all urban areas of the UK and other mid-latitude, temperate climate zones that have tree species common to those found in UK urban areas. The modeling approach used here is directly applicable to all areas of the world given the appropriate input data. It provides a tool that can help to achieve future sustainable urban air quality.

KW - CARBON STORAGE

KW - MODEL

KW - EMISSIONS

KW - SENSITIVITY

KW - ISOPRENE

KW - RECOVERY

KW - FORESTS

KW - GAS

U2 - 10.1021/es050581y

DO - 10.1021/es050581y

M3 - Journal article

VL - 39

SP - 6730

EP - 6738

JO - Environmental Science and Technology

JF - Environmental Science and Technology

SN - 0013-936X

IS - 17

ER -