The impact of green space structure on physiological equivalent temperature index in open space

Davtalab, Jamshid; Deyhimi, Shahram Poor; Dessi, V.; Hafezi, Mohammadreza; Adib, Morteza

doi:10.1016/j.uclim.2019.100574

Cited by 52 publications

(19 citation statements)

References 59 publications

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“…The highest reduction effect of 0.63 0 C was recorded with the tree canopy covers of 45%. The air temperature amelioration effect obtained in this study was lower than those obtained by Davtalab et al (2020) and Nasir et al (2015). Who found that a scenario with dense vegetation was lower by 1.0 0 C than scenarios without any vegetation.…”

Section: Discussioncontrasting

confidence: 77%

“…The features lead to higher or lower thermal conditions of the urban environments. Vegetation forms part of the natural features that improve the thermal state of urban microclimates (Davtalab et al, 2020). Five modelled scenarios were simulated for 24hrs in evaluating the improvement capacity of different percentages of vegetation covers within a campus.…”

Section: Discussionmentioning

confidence: 99%

“…The study investigated the reducing effects of tree canopy cover on the intensity of the outdoor climatic conditions in a campus setting. It equally hypothesized the significant positive effects of tree canopy cover in reducing the intensity of outdoor air temperature and the MRT in the context of urban centres within hot and dry climates (Davtalab et al, 2020).…”

Section: Thermal Effects Of Vegetation Cover In Campus Outdoor Environmentmentioning

confidence: 99%

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Effects of vegetation covers for outdoor thermal improvement: A Case Study at Abubakar Tafawa Balewa University, Bauchi, Nigeria

Abdulkarim¹,

Ghafar²,

Lai³

et al. 2021

JST

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Frequent increases in temperature and related consequences have been the trending phenomenon for over ten decades, with a general rise of about 0.740C. This study evaluates the effects of different percentage covers of tree canopies for outdoor thermal improvement of campus areas in Bauchi, Nigeria. Firstly, the study involves on-site measurement of existing features on the site and the climatic conditions. Secondly, performing simulation for evaluation of the plant-surface-atmosphere interactions with Envi-met Version 4.4.2. The vegetation effects were evaluated for outdoor air temperature and mean radiant temperature (MRT) reduction. It is found that the maximum air temperature reduction of 3.380C and 24.240C of MRT were achieved with up to 45% tree canopy coverage. The mean air temperature and MRT reduction of 0.630C and 4.800C were respectively achieved with the same percentage coverage of the canopies. However, it was found that the thermal reduction effects of vegetation do not apply to every hour of the day. In essence, proper planning and implementation of campus outdoor spaces is the key factor in improving its thermal conditions. Thus, adhering to the practical recommendations bring a significant improvement in ameliorating the rise in atmospheric temperature on campus outdoors.

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Section: Discussioncontrasting

confidence: 77%

Section: Discussionmentioning

confidence: 99%

Section: Thermal Effects Of Vegetation Cover In Campus Outdoor Environmentmentioning

confidence: 99%

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Effects of vegetation covers for outdoor thermal improvement: A Case Study at Abubakar Tafawa Balewa University, Bauchi, Nigeria

Abdulkarim¹,

Ghafar²,

Lai³

et al. 2021

JST

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“…• the increase of non-asphalted and cemented surfaces and the increase of green covers modulate the radiant heat leading to an improvement of thermal comfort during summer days. In fact, the marked decrease of MRT in the scenarios with vegetation is due to both the increase of shaded area and the presence of soil (Default Soil) in the traffic island, as already observed in the literature [28,42,43]; moreover, the difference of 4.62 • C for MRT between the current and the modified scenario is due to the removal of 40 Pinus pinea L. and the introduction of 70 new trees with higher leaf density and crown width. As already observed in the literature [34], Pines do not change the MRT index considerably compared to other species due to their height development; • the extent, continuity and compactness of the vegetation cover along Corso Trieste are certainly a factor that influences the overall positive effect of the vegetation.…”

Section: Discussionsupporting

confidence: 66%

The Challenge in the Management of Historic Trees in Urban Environments during Climate Change: The Case of Corso Trieste (Rome, Italy)

Gatto

Buccolieri

Perronace³

et al. 2021

Atmosphere

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This study carries out a quantitative analysis of the impact on microclimate (air temperature and thermal comfort) of a row of 165 historical Pinus pinea L. located in a central neighbourhood of Rome (Italy). The analysis starts from a qualitative general analysis on the stressful conditions leading to tree decline in the urban environment especially during extreme climate change phenomena. Subsequently, the effects of planting new types of trees are assessed using ENVI-met, a 3D prognostic non-hydrostatic model for the simulation of surface-plant-air interactions. Results, obtained by simulating three different scenarios in which the trees are first removed and then modified, show that a gradual renewal of the existing trees, based on priority criteria of maturity or senescence, vegetative and phytosanitary conditions, efficiency of ecosystem services and safety for citizens, has positive effects on thermal comfort. By integrating current results and scientific literature, the final aim of this work is to provide stakeholders with a strategic and systemic planning methodology, which, based on the innovative integrated use of tree management and modelling tools, may (i) enhance the benefits of greening in a scenario of climate change and (ii) lead to intervention strategies based on complementarity between conservation of existing trees and tree renewal.

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“…Urban green space is generally defined as green infrastructure that contains vegetated spaces including urban parks, road, and workplace green space [6]. Previous works have recognized the crucial role of green space for reducing the adverse impacts of urbanization in both aspects of urban ecosystem and socioeconomics [7][8][9][10][11][12][13][14][15]. e World Health Organization has identified that green spaces are innovative methods for enhancing the quality of urban environments via improvements of local resilience and promotions of sustainable lifestyles [15].…”

Section: Research Background and Motivationmentioning

confidence: 99%

Remote Sensing–Based Urban Green Space Detection Using Marine Predators Algorithm Optimized Machine Learning Approach

Hoang

Tran

2021

Mathematical Problems in Engineering

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Information regarding the current status of urban green space is crucial for urban land-use planning and management. This study proposes a remote sensing and data-driven solution for urban green space detection at regional scale via employment of state-of-the-art metaheuristic and machine learning approaches. Remotely sensed data obtained from Sentinel 2 satellite in the study area of Da Nang city (Vietnam) are used to construct and verify an intelligent model that hybridizes Marine Predators Algorithm (MPA) and support vector machines (SVM). SVM are employed to generalize a decision boundary that separates features characterizing statistical measurements of remote sensing data into two categories of “green space” and “nongreen space”. The MPA metaheuristic is used to optimize the SVM training phase by identifying an appropriate set of the SVM’s hyperparameters including the penalty coefficient and the kernel function parameter. Experimental results show that the proposed model which processes information provided by all of the Sentinel 2 satellite’s spectral bands can deliver a better performance than those obtained from the model based on vegetation indices. With a good classification accuracy rate of roughly 93%, an F1 score = 0.93, and an area under the receiver operating characteristic = 0.98, the newly developed model is a promising tool to assist local authority to obtain up-to-date information on urban green space and develop plans of sustainable urban land use.

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The impact of green space structure on physiological equivalent temperature index in open space

Cited by 52 publications

References 59 publications

Effects of vegetation covers for outdoor thermal improvement: A Case Study at Abubakar Tafawa Balewa University, Bauchi, Nigeria

Effects of vegetation covers for outdoor thermal improvement: A Case Study at Abubakar Tafawa Balewa University, Bauchi, Nigeria

The Challenge in the Management of Historic Trees in Urban Environments during Climate Change: The Case of Corso Trieste (Rome, Italy)

Remote Sensing–Based Urban Green Space Detection Using Marine Predators Algorithm Optimized Machine Learning Approach

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