Abstract
Climate changes have led to increasing global energy consumption, detrimental to the sustainable development of society. Urban blue-green infrastructure (UBGI) can improve urban microclimate. However, influence intensity of UBGI on microclimate has not been quantified deeply to improve the use efficiency of water and greenery resources. To solve research deficiencies, this study numerically simulated the UBGI for 44 scenarios with different resource configurations (various water body areas and greenery coverages) in summer. Based on simulations, this study developed novel mathematical models of UBGI thermo-environment (BGTE) to quantify influence intensity of UBGI. The results indicated that daytime synergies of UBGI first increased and then decreased with time. The significance intensity of the influence of time (t), water body area (Sw), tree coverage rate (TCR), shrub coverage rate (SCR), and grassland coverage rate (GLCR) on the synergy of water and greenery was quantified by artificial neural network: t (39.4 %), Sw (22.6 %), TCR (22.0 %), SCR (13.2 %), and GLCR (2.8 %). To make the overall effect of UBGI on microclimate relatively efficient, Sw should be less than 10,000 m2, SCR should be greater than 65 %, and TCR should be close to 15 %. This research provides practical ideas for efficient use of water and greenery resources.
Published Version
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