2020
DOI: 10.1016/j.buildenv.2020.106911
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Seasonal and meteorological effects on the cooling magnitude of trees in subtropical climate

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Cited by 24 publications
(7 citation statements)
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References 62 publications
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“…Analysing the results, it is possible to observe that, in line with the scientific literature, due to their shading effect, energy balance and transpiration cooling, vegetation results to be the most effective strategy to mitigate daytime urban human heat stress and so it is an important climate change mitigation strategy [37][38][39][40][41]. Specifically, here, the presence of Pinus pinea L. has a positive effect on the mitigation of air temperature and the improvement of thermal comfort along Corso Trieste.…”
Section: Discussionsupporting
confidence: 57%
“…Analysing the results, it is possible to observe that, in line with the scientific literature, due to their shading effect, energy balance and transpiration cooling, vegetation results to be the most effective strategy to mitigate daytime urban human heat stress and so it is an important climate change mitigation strategy [37][38][39][40][41]. Specifically, here, the presence of Pinus pinea L. has a positive effect on the mitigation of air temperature and the improvement of thermal comfort along Corso Trieste.…”
Section: Discussionsupporting
confidence: 57%
“…In 2020, Langenheim et al first used pedestrian access modeling, tree-scape shade modeling, and shade optimization in Melbourne, Australia, obtaining the results that planting the right tree in the right place at the right time could provide a more effective shading function and significantly reduce solar radiation flux, thereby improving thermal comfort [51]. Finally, Cheung et al (2020) studied five sites with different SVFs in a golf course in Hong Kong, China (a humid subtropical climate area), finding that the cooling magnitude of trees would be influenced by seasonal and meteorological effects, and UTS could reduce solar radiation and provide shading to exert cooling effects [52].…”
Section: Gi Ups Ufs Uts Gr Gw Referencementioning
confidence: 99%
“…These study results showed that trees and vegetation reduced air temperatures in the range of 0.28 to 4°C while the shade factor provided 80% of the cooling effect during the summer [93]. Furthermore, the cooling benefit of trees was experimentally investigated by several studies [116][117][118][119], who concluded that trees provided notable cooling benefits ranged from 1.2 to 4.1°C during the day with a substantial increase in human thermal comfort. However, the research findings from these studies cannot be applied to other regions due to different city and building characteristics.…”
Section: Treesmentioning
confidence: 99%
“…Modeling Tool [140] Athens, Greece Reflective coatings ANOVA F-Statistical Analysis [131] City of Melbourne, Australia Green and cool roofs WRF-UCM [164] City of Melbourne, Australia Vegetated patches WRF-UCM [118] Hong Kong Woodland Experimental [158] Los Angeles, USA Vegetation, cool roofs and lighter color pavement DOE-2 and CSUMM [102] City of Melbourne, Australia Vegetation and cool roofs WRF-PUCM [117] Hong Kong Trees Experimental [165] Los Angeles, USA Increased vegetation and albedo CSUMM [159] California, USA Permeable asphalt pavement DBOLS-Statistical Analysis [23] Hong kong, China Planting and vegetation MM5 [129] University of Applied Sciences Neubrandenburg Green roof Experimental [116] Melbourne Trees Experimental [24] Singapore Park lands ENVI-met [119] Hong Kong Trees Experimental [166] Tokyo, Japan Green walls Coupled MM-CM-BEM [167] City of Vienna, Austria Green and blue spaces MUKLIMO_3 [135] Singapore Vertical green walls STEVE Model [168] Putrajaya, Malaysia Vegetation and water body WRF-UCM [169] London, UK Stack ventilation 3TC Model [170] Tokyo, Japan Photovoltaic Canopies Numerical PV-panel Heat Balance Model [171] Nevada, USA Reflective Roofs Analysis [172] Spain, Madrid Green roofs Sima Pro-LCI [173] Qatar Green roof and walls GCM and CCWorldWeatherGen tool [174] Tokyo, Japan Humidification and albedo increase at building-wall surfaces Coupled CM-BEM [115] Kobe, Japan Green roof and high reflection roof Numerical Equation [175] Arizona, USA Photovoltaic Canopies Statistical Analysis [115] Kobe, Japan Green roof and high reflection roof Numerical Equation Significant 3% [115] Significant - [175] Significant -- [115] Significant -…”
Section: Reference Location Mitigation Approachmentioning
confidence: 99%