Di Sabatino, Silvana ;
Brattich, Erika ;
Barbano, Francesco ;
Torreggiani, Luca ;
Barbieri, Carla ;
Minguzzi, Enrico
(2020)
iSCAPE. WP5. Effects of Vegetation Urban Street Canyons. Summer 2017 and Winter 2018 Experimental Campaigns.
University of Bologna.
DOI
10.6092/unibo/amsacta/6317.
[Dataset]
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Abstract
This dataset contains the observations of air quality collected within two experimental campaigns conducted in summer 2017 (07 August 2017-26 September 2017) and winter 2018 (15 January 2018-15 February 2018) in two street canyons in the city of Bologna, to verify the effectiveness of vegetation in altering ventilation levels and pollutant concentration in real-world street canyons. The dataset also contains the meteorological data collected during non-synoptic periods, representing the ideal condition to assess the behavior of the local circulation and turbulence. The experimental field campaigns were setup under WP3 (“Planning and evaluation of PCS solutions”) and conducted under WP5 (“Monitoring and Evaluation of the Interventions”) of the iSCAPE project.
Briefly, two parallel urban street canyons characterized by a different occurrence of vegetation, i.e. one almost free of vegetation (Marconi St.) and one with a tree line along both sides of the street (Laura Bassi St.), were instrumented for measurements of meteorology and turbulence variables at three height levels, while pollutant concentrations were monitored at ground level inside both canyons.
This dataset is linked to the paper “Disentangling the effect of vegetation on ventilation and air quality in urban street canyons: the Bologna iSCAPE experimental campaigns” by Di Sabatino et al., which will be submitted for publication on “Science of the Total Environment” edited by Elsevier, and to the paper “Characteristic Scales for Turbulent Exchange Processes in a Real Urban Canopy” by Barbano et al., which is under review for publication on “Boundary-Layer Meteorology” edited by Springer. If you use this dataset for your research or work purposes, we ask that you acknowledge us in the use of your data, which can be done by including a proper citation in any documents or publications using these data.
Abstract
This dataset contains the observations of air quality collected within two experimental campaigns conducted in summer 2017 (07 August 2017-26 September 2017) and winter 2018 (15 January 2018-15 February 2018) in two street canyons in the city of Bologna, to verify the effectiveness of vegetation in altering ventilation levels and pollutant concentration in real-world street canyons. The dataset also contains the meteorological data collected during non-synoptic periods, representing the ideal condition to assess the behavior of the local circulation and turbulence. The experimental field campaigns were setup under WP3 (“Planning and evaluation of PCS solutions”) and conducted under WP5 (“Monitoring and Evaluation of the Interventions”) of the iSCAPE project.
Briefly, two parallel urban street canyons characterized by a different occurrence of vegetation, i.e. one almost free of vegetation (Marconi St.) and one with a tree line along both sides of the street (Laura Bassi St.), were instrumented for measurements of meteorology and turbulence variables at three height levels, while pollutant concentrations were monitored at ground level inside both canyons.
This dataset is linked to the paper “Disentangling the effect of vegetation on ventilation and air quality in urban street canyons: the Bologna iSCAPE experimental campaigns” by Di Sabatino et al., which will be submitted for publication on “Science of the Total Environment” edited by Elsevier, and to the paper “Characteristic Scales for Turbulent Exchange Processes in a Real Urban Canopy” by Barbano et al., which is under review for publication on “Boundary-Layer Meteorology” edited by Springer. If you use this dataset for your research or work purposes, we ask that you acknowledge us in the use of your data, which can be done by including a proper citation in any documents or publications using these data.
Document type
Dataset
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Subjects
DOI
Contributors
Deposit date
16 Jan 2020 09:48
Last modified
29 Jan 2020 22:00
Project name
Funding program
EC - H2020
URI
Other metadata
Document type
Dataset
Creators
Subjects
DOI
Contributors
Deposit date
16 Jan 2020 09:48
Last modified
29 Jan 2020 22:00
Project name
Funding program
EC - H2020
URI
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