Journal ArticleDOI
Optimizing green space locations to reduce daytime and nighttime urban heat island effects in Phoenix, Arizona
TLDR
In this paper, the authors developed a framework to identify the best locations and configuration of new green space with respect to cooling benefits in order to mitigate the effect of urban heat island effects.About:
This article is published in Landscape and Urban Planning.The article was published on 2017-09-01. It has received 191 citations till now. The article focuses on the topics: Urban heat island.read more
Citations
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Satellite Remote Sensing of Surface Urban Heat Islands: Progress, Challenges, and Perspectives
Decheng Zhou,Jingfeng Xiao,Stefania Bonafoni,Christian Berger,Kaveh Deilami,Yuyu Zhou,Steve Frolking,Rui Yao,Zhi Qiao,José A. Sobrino +9 more
TL;DR: An exponentially increasing trend of SUHI research since 2005, with clear preferences for geographic areas, time of day, seasons, research foci, and platforms/sensors is found, and key potential directions and opportunities for future efforts are proposed.
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Investigating the effects of 3D urban morphology on the surface urban heat island effect in urban functional zones by using high-resolution remote sensing data: A case study of Wuhan, Central China
Xin Huang,Ying Wang +1 more
TL;DR: Wang et al. as mentioned in this paper investigated the relationship between 2D/3D urban morphology and summer daytime LST in Wuhan, a representative megacity in Central China, which is known for its extremely hot weather in summer, by adopting high-resolution remote sensing data and geographical information data.
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Critical review on the cooling effect of urban blue-green space: A threshold-size perspective
TL;DR: The cooling effect of blue-green space has been recognized as a promising approach to mitigate the urban heat island (UHI), while the quantitative role (threshold-size for cooling) is still uncertain this article.
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Urban form and composition of street canyons: A human-centric big data and deep learning approach
TL;DR: An innovative big data approach to derive street-level morphology and urban feature composition as experienced by a pedestrian from Google Street View (GSV) imagery is developed and constitutes an important step towards building a global morphological database to describe the form and composition of cities from a human-centric perspective.
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How can urban blue-green space be planned for climate adaption in high-latitude cities? A seasonal perspective
TL;DR: In this paper, the authors used spatial/statistical methods to assess the cooling effect of blue-green spaces in different seasons and found that the area and cooling extent and intensity conform a logarithm function with significant correlations except for winter.
References
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The influence of green areas on nocturnal temperatures in a high latitude city (Göteborg, Sweden)
TL;DR: In this article, the air temperature pattern in three urban parks and their surrounding built-up areas was studied over a one and a half year period in Goteborg, Sweden.
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Modeling the impacts of anthropogenic heating on the urban climate of Philadelphia: a comparison of implementations in two PBL schemes
Hongli Fan,David J. Sailor +1 more
TL;DR: In this paper, anthropogenic heating is incorporated as a source term in the near-surface energy balance within the MM5 mesoscale atmospheric model, and the energy balance is calculated as part of the planetary boundary layer (PBL) module.
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Relationship between land surface temperature and spatial pattern of greenspace: What are the effects of spatial resolution?
TL;DR: In this paper, the relationship between LST and spatial pattern of greenspace was examined by Pearson correlation and partial Pearson correlation analysis using census tract as analytical unit using QuickBird, SPOT, and TM imagery.
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Relating residential and commercial sector electricity loads to climate : evaluating state level sensitivities and vulnerabilities
TL;DR: In this paper, a methodology for relating climate parameters to electricity consumption at regional scales has been applied to eight states resulting in predictive models of per capita residential and commercial electricity consumption, and the results indicate significantly different sensitivities for neighboring states, suggesting the inability to generalize results.
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Is everyone hot in the city? Spatial pattern of land surface temperatures, land cover and neighborhood socioeconomic characteristics in Baltimore, MD
TL;DR: It is demonstrated, through an exercise, how incorporating data on land surface temperature and social factors into heat intervention strategies could contribute to efficient allocation of limited resources and services.