Exploring the triadic relation of urban form, wind, and air quality at street level : a case of City of London, UK
Apsunde, Kiran Ashok (2020)
Apsunde, Kiran Ashok
2020
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2020101621376
https://urn.fi/URN:NBN:fi:amk-2020101621376
Tiivistelmä
The triadic relation on urban form, air quality and the wind environment at street level in a dense setting of the City of London is investigated through detailed characterisation of the urban form, wind simulation and statistical analysis in conjunction with AQ data observations for the period June – December 2018. While there are a plethora of broad level indicators describing urban morphology and form at neighbourhood and city levels, this study has taken a detailed approach towards identifying the street level canyon and canopy related metrics that influence the urban wind environment and ambient air quality. While it has tried out some of the existing metrics, the study has also introduced a set of new parameters that may further aid in understanding the triadic relation. For over 826 canyons mapped in the study area, the study has analysed about forty-two (42) urban form and morphological metrics to understand the influence of urban form on the wind environment.
Additionally, for sixty-three (63) canyons with AQ observations, sixty-four (64) wind and urban form related metrics were analysed for their statistical significance as predictors using the exploratory regression approach. Out of the 42 metrics used to investigate the influence of urban form on wind pattern, twenty-two (22) are found to have a statistical significance of greater than 50%. Moreover, out of the sixty-four (64) variables used towards investigating the role of wind and urban form metrics on AQ, ten (10) are found to exhibit a statistical significance of greater than 50%.
Amongst the newly introduced parameters Canyon Normality, Topographic Openness, Global solar Radiation, Effective Frontal Area, Wind Effect, Node Exposure and traffic Z-score are identified as statically significant predictors with a strong influence on the wind environment and consequently, the ambient air quality.
Additionally, for sixty-three (63) canyons with AQ observations, sixty-four (64) wind and urban form related metrics were analysed for their statistical significance as predictors using the exploratory regression approach. Out of the 42 metrics used to investigate the influence of urban form on wind pattern, twenty-two (22) are found to have a statistical significance of greater than 50%. Moreover, out of the sixty-four (64) variables used towards investigating the role of wind and urban form metrics on AQ, ten (10) are found to exhibit a statistical significance of greater than 50%.
Amongst the newly introduced parameters Canyon Normality, Topographic Openness, Global solar Radiation, Effective Frontal Area, Wind Effect, Node Exposure and traffic Z-score are identified as statically significant predictors with a strong influence on the wind environment and consequently, the ambient air quality.