Analyzing the urban heat Island: Comprehensive methodology for data gathering and optimal design of mobile transects

Rodríguez, Luis Pérez; Ramos, José Sánchez; Flor, Francisco José Sánchez de la; Domínguez, Servando Álvarez

doi:10.1016/j.scs.2020.102027

Cited by 42 publications

(16 citation statements)

References 31 publications

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“…Thus, the indicator of thermal magnitude points to a thermal differentiation between the rural area (P01) and the other types of land use for most of the measurement period with predominance of heat islands of weak intensity. These observations are in accordance to what was exposed by Sun et al (2019) and Rodríguez et al (2020), which pointed that weak heat islands are common in small cities. The points in urban area presented lower frequency of freshness islands than the suburban (P02) and urban park (P04) points.…”

Section: Thermal Magnitude Indicatorsupporting

confidence: 92%

Identification of the urban heat islands phenomenon in a small city: the study case of Três Rios/RJ, Brazil

Silva

et al. 2021

Rev. Bras. Ciênc. Ambient.

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The phenomenon of urban heat islands (UHI) is caused by the increase in temperatures of an urban area as a result of the development of human activities within that area, this phenomenon is usually studied in medium and large cities. This study aims to verify if the phenomenon of UHI occurs in the municipality of Três Rios – RJ, a small sized city. This study included the use of mobile transect, through pre-established data collection points/stations. Five data collection points were selected, from which one was included in a rural area, one in the Parque Natural Municipal (Urban Park, within the city), and three points within the urbanized area. The equipment used was the Brunton® / ADC PRO handheld weather station. The data collection period ranged from September 2018 until July 2019, which included the four seasons. Measurements were taken at 6:00, 12:00, 15:00, 18:00, and 21:00h, in alternate days during the study period. Considering the temperature measurements, two different indicators of thermal variability were used. Strong magnitude heat islands were detected, taking into consideration the relevant variation of maximum temperatures observed in the urban area when compared to the rural area. The results indicate the most affected populations to be the ones located within urban areas, mostly individuals under socioeconomic vulnerability. The results obtained can be used as support for the development of strategies to minimize the thermal discomfort to populations exposed to the influence of higher magnitude urban heat islands.

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Section: Thermal Magnitude Indicatorsupporting

confidence: 92%

Identification of the urban heat islands phenomenon in a small city: the study case of Três Rios/RJ, Brazil

Silva

et al. 2021

Rev. Bras. Ciênc. Ambient.

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“…The impact of urban form on UHI is often described through direct measurements of air temperature across different urban gradients (Schwarz et al 2012;Lin et al 2019) or through street-scale simulations (Sodoudi et al 2018;Ramyar et al 2019) allowing for micro-scale assessments. Such studies, however, take into account only a relatively small sample of observations and may not fully capture specific site effects elsewhere (Romero Rodríguez et al 2020). On the contrary, the relationship of urban form and the SUHI effect is typically investigated from remotely sensed land surface temperature (LST) imagery at medium (30 m) to very coarse (1 km) spatial resolutions, offering an opportunity for city-wide assessments, however, compromising applicability of the results to micro-scales by summarising the results over larger subdivisions of land (Zhou et al 2011(Zhou et al , 2020Kong et al 2014;Liu et al 2016;Simwanda et al 2019;Masoudi et al 2019).…”

Section: Introductionmentioning

confidence: 99%

A simple method for determination of fine resolution urban form patterns with distinct thermal properties using class-level landscape metrics

2020

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Context Relationships between land surface temperature (LST) and spatial configuration of urban form described by landscape metrics so far have been investigated with coarse resolution LST imagery within artificially superimposed land divisions. Citywide micro-scale observations are needed to better inform urban design and help mitigate urban heat island effects in warming climates. Objectives The primary objective was to sub-divide an existing high-resolution land cover (LC) map into groups of patches with distinct spatial and thermal properties suitable for urban LST studies relevant to micro-scales. The secondary objective was to provide insights into the optimal analytical unit size to calculate class-level landscape metrics strongly correlated with LST at 2 m spatial resolution. Methods A two-tiered unsupervised k-means clustering analysis was deployed to derive spatially distinct groups of patches of each major LC class followed by further subdivisions into hottest, coldest and intermediary sub-classes, making use of high resolution class-level landscape metrics strongly correlated with LST. Results Aggregation class-level landscape metrics were consistently correlated with LST for green and grey LC classes and the optimal search window size for their calculations was 100 m for LST at 2 m resolution. ANOVA indicated that all Tier 1 and most of Tier 2 subdivisions were thermally and spatially different. Conclusions The two-tiered k-means clustering approach was successful at depicting subdivisions of major LC classes with distinct spatial configuration and thermal properties, especially at a broader Tier 1 level. Further research into spatial configuration of LC patches with similar spatial but different thermal properties is required.

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“…It is, however, a continued subject of extensive research, largely due to the idiosyncrasies of individual cities and local climates [5,12]. The open availability of remote sensing data has also led to an increased volume of work in this field of research [6,25]. It is possible to characterise a UHI and its intensity using either or both surface temperature and air temperature [5,26,27].…”

Section: The Urban Heat Island Phenomenon and Uk Examplesmentioning

confidence: 99%

The Leeds urban heat island and its implications for energy use and thermal comfort

Parker

2021

Energy and Buildings

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Analyzing the urban heat Island: Comprehensive methodology for data gathering and optimal design of mobile transects

Cited by 42 publications

References 31 publications

Identification of the urban heat islands phenomenon in a small city: the study case of Três Rios/RJ, Brazil

Identification of the urban heat islands phenomenon in a small city: the study case of Três Rios/RJ, Brazil

A simple method for determination of fine resolution urban form patterns with distinct thermal properties using class-level landscape metrics

The Leeds urban heat island and its implications for energy use and thermal comfort

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