Computational modeling of land surface temperature using remote sensing data to investigate the spatial arrangement of buildings and energy consumption relationship

Faroughi, Maryam; Karimimoshaver, Mehrdad; Aram, Farshid; Solgi, Ebrahim; Mosavi, Amir; Nabipour, Narjes; Chau, Kwok Wing

doi:10.1080/19942060.2019.1707711

Cited by 32 publications

(25 citation statements)

References 53 publications

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“…5). Based on the previous research about the role of urban texture in reducing air temperatures [27,84,98] and the results of this study, organic urban structures due to its structural features, can improve airflow, thereby reducing air temperatures. Accordingly, it can be said that the cooling effect of the park is paramount in the western area than in other areas (855 m).…”

Section: Urban Configurationmentioning

confidence: 70%

Urban heat resilience at the time of global warming: evaluating the impact of the urban parks on outdoor thermal comfort

et al. 2020

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Background In densely populated urban centers, increased air temperature due to urban heat island (UHI) effect can undermine the thermal comfort and health of citizens. Research has shown that large urban parks can mitigate the effect of UHIs and improve thermal comfort, especially in the warmer months of the year when temperature changes are more noticeable. This study investigated the cooling effect intensity (CEI) of the Retiro Park in the center of Madrid at three different distances from its southern edge and the impact of this cooling effect on thermal comfort from physiological and psychological perspectives. This investigation was performed by measuring microclimate data and conducting a survey simultaneously during the summer days. Results The results showed that the CEI of the park varies with distance from its edge. Because of this effect, air temperature within the 130 m and 280 m distance of the park was, respectively, 1.6 °C and 0.9 °C lower than the temperature at the 520 m distance (the nearest heat island). After examining the effect of the park in terms of physiological equivalent temperature (PET), it was found that the PET at the 130 m and 280 m distance of the park was 9.3% and 5.4% less than the PET in the heat island domain. More than 81% of the respondents (in all three areas) had a mental image of the park as the place where they would experience the highest level of outdoor thermal comfort, and this rate was higher in the areas closer to the park. The analysis of citizens’ responses about perceived thermal comfort (PTC) showed that citizens in areas with higher CEI had perceived a higher degree of thermal comfort from the psychological perspective. Conclusion This study demonstrates the significant role of large urban parks located in the core of the populated cities in providing thermal comfort for citizens from both physiological and psychological perspectives. Additionally, the results of this study demonstrated that among the environmental (natural and artificial) factors around the park (topography, urban structure, etc.), the aspect ratio has the greatest impact on thermal comfort.

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Section: Urban Configurationmentioning

confidence: 70%

Urban heat resilience at the time of global warming: evaluating the impact of the urban parks on outdoor thermal comfort

et al. 2020

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“…The Cortes neighborhood is located on the western side of the park situated in the old part of Madrid and has an organic structure ( Figure 5). Based on the previous research about the role of urban texture in reducing air temperatures (Taleb & Abu-Hijleh, 2013;Zhou et al, 2011;Faroughi et al, 2020) and the results of this study, organic urban structures due to its structural features, can improve air ow, thereby reducing air temperatures. Accordingly, it can be said that the cooling effect of the park is paramount in the western area than in other areas (855 m).…”

Section: Urban Con Gurationmentioning

confidence: 70%

Urban heat resilience at the time of global warming: evaluating the impact of the urban parks on outdoor thermal comfort

Aram

Solgi

García

et al. 2020

Preprint

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Background: In densely populated urban centers, increased air temperature due to urban heat island (UHI) effect can undermine the thermal comfort and health of citizens. Research has shown that large urban parks can mitigate the effect of UHIs and improve thermal comfort, especially in the warmer months of the year when temperature changes are more noticeable. This study investigated the cooling effect intensity (CEI) of the Retiro Park in the center of Madrid at three different distances from its southern edge and the impact of this cooling effect on thermal comfort from physiological and psychological perspectives. This investigation was performed by measuring microclimate data and conducting a survey simultaneously during the summer days. Results: The results showed that the CEI of the park varies with distance from its edge. Because of this effect, air temperature within the 130m and 280m distance of the park was respectively 1.6°C and 0.9°C lower than the temperature at the 520m distance (the nearest heat island). After examining the effect of the park in terms of Physiological Equivalent Temperature (PET), it was found that the PET at the 130m and 280m distance of the park was 9.3% and 5.4% less than the PET in the heat island domain. More than 81% of the respondents (in all three areas) had a mental image of the park as the place where they would experience the highest level of outdoor thermal comfort, and this rate was higher in the areas closer to the park. The analysis of citizens’ responses about perceived thermal comfort (PTC) showed that citizens in areas with higher CEI had perceived a higher degree of thermal comfort from the psychological perspective.Conclusion: This study demonstrates the significant role of large urban parks located in the core of the populated cities in providing thermal comfort for citizens from both physiological and psychological perspectives. Additionally, the results of this study demonstrated that among the environmental (natural and artificial) factors around the park (topography, urban structure, etc.), the aspect ratio has the greatest impact on thermal comfort.

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“…In most previous researches, the influential factors in locating tall buildings have been mentioned [32,33], but the prioritization and weighting of these criteria have not been studied in detail. In this study, according to the results, land price, urban texture, population density, and traffic sub-criteria are at the highest level, and surface and groundwater sub-criteria are at the lowest level in locating tall buildings by prioritization.…”

Section: Discussionmentioning

confidence: 99%

A Model for Locating Tall Buildings through a Visual Analysis Approach

et al. 2020

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Tall buildings have become an integral part of cities despite all their pros and cons. Some current tall buildings have several problems because of their unsuitable location; the problems include increasing density, imposing traffic on urban thoroughfares, blocking view corridors, etc. Some of these buildings have destroyed desirable views of the city. In this research, different criteria have been chosen, such as environment, access, social-economic, land-use, and physical context. These criteria and sub-criteria are prioritized and weighted by the analytic network process (ANP) based on experts’ opinions, using Super Decisions V2.8 software. On the other hand, layers corresponding to sub-criteria were made in ArcGIS 10.3 simultaneously, then via a weighted overlay (map algebra), a locating plan was created. In the next step seven hypothetical tall buildings (20 stories), in the best part of the locating plan, were considered to evaluate how much of theses hypothetical buildings would be visible (fuzzy visibility) from the street and open spaces throughout the city. These processes have been modeled by MATLAB software, and the final fuzzy visibility plan was created by ArcGIS. Fuzzy visibility results can help city managers and planners to choose which location is suitable for a tall building and how much visibility may be appropriate. The proposed model can locate tall buildings based on technical and visual criteria in the future development of the city and it can be widely used in any city as long as the criteria and weights are localized.

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Computational modeling of land surface temperature using remote sensing data to investigate the spatial arrangement of buildings and energy consumption relationship

Cited by 32 publications

References 53 publications

Urban heat resilience at the time of global warming: evaluating the impact of the urban parks on outdoor thermal comfort

Urban heat resilience at the time of global warming: evaluating the impact of the urban parks on outdoor thermal comfort

Urban heat resilience at the time of global warming: evaluating the impact of the urban parks on outdoor thermal comfort

A Model for Locating Tall Buildings through a Visual Analysis Approach

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