The cooling efficiency of variable greenery coverage ratios in different urban densities: A study in a subtropical climate
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AbstractUrban greenery, especially trees, has been proven to be one of the effective measures for urban heat island mitigation. However, no consistent findings have been found for the relationship between greenery abundance and cooling magnitude; while some previous studies discovered a linear relationship, others opined it could a non-linear one. In addition, there are rare studies exploring whether or not the strength of the relationship is dependent on urban density. Therefore, in this study, we aim to discuss cooling efficiency by measuring the relationship between greenery coverage ratio and the cooling effects of greenery. Parametric studies were conducted in a validated ENVI-met model, with different combinations of urban densities (Low, Mid, and High) and tree coverage ratios (2–30% at 2% interval, and 56% for full area coverage other than building). Then the pattern of the cooling efficiency was explored under three urban densities scenarios and two selected temporal periods on a typical summer daytime. For a subtropical climate background, results showed a non-linear (logarithmic) pattern for tree coverage ratio (TCR) and cooling effects, irrespective of the urban density, temporal periods, and heat indicators. When TCR reached 20–30%, the optimal cooling efficiency of trees were achieved, irrespective of building densities and temporal periods. The optimal threshold for greenery coverage in this study can provide science-based suggestions to urban planners and designers for better microclimate and thermal comfort environments at the neighborhood scale.
Acceptance Date26/02/2020
All Author(s) ListWanlu Ouyang, Tobi Eniolu Morakinyo, Chao Ren, Edward Ng
Journal nameBuilding and Environment
Year2020
Month5
Volume Number174
Article number106772
ISSN0360-1323
eISSN1873-684X
LanguagesEnglish-United States
KeywordsUrban heat island, Urban greenery, Cooling efficiency, Urban density, ENVI-met, Urban planning

Last updated on 2020-24-05 at 23:36