Spatiotemporal impact of land use/land cover changes on urban heat islands: A case study of Paço do Lumiar, Brazil

Silva, Janilci Serra; Silva, Richarde Marques da; Santos, Celso Augusto Guimarães

doi:10.1016/j.buildenv.2018.03.041

Cited by 112 publications

(45 citation statements)

References 48 publications

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“…The results of the present study agree with those reported by Silva (2004). When analyzing the spatiotemporal impact of land use and land cover changes on urban heat islands in Maranhão State, Brazil, Silva et al (2018) observed that many areas experienced extensive urbanization over the 16-year study period, which resulted in the loss of green spaces and increased urban heat island. The spatial distribution of the human thermal comfort level in João Pessoa for current climate conditions and for the 2020s, the 2030s, the 2040s, the 2050s and the 2060s are depicted for both the dry and rainy seasons in Figures 4 and 5, respectively.…”

Section: Resultssupporting

confidence: 91%

Future scenarios of thermal bioclimatic conditions in a humid tropical city under urban development

Silva¹,

Santos²,

Lima³

et al. 2018

Rev. ambiente água

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Urbanization modifies the heat balance in urban areas and has negative effects on landscape, aesthetics, energy efficiency, human health and the inhabitants’ quality of life. This work evaluated future scenarios of bioclimatic conditions for João Pessoa, a humid tropical city in Northeast Brazil. The scenarios were determined based on trends in air temperature, relative humidity and wind speed for the time period from 1968 to 2015. The study was performed for two distinct periods of three months each (dry and wet seasons) using data from weather stations equipped with thermo-hygrometers and cup anemometers located in nine representative areas of the city. Trends in air temperature, relative humidity, wind speed, and effective temperature index (ET index) time series were evaluated using the Mann-Kendall test. Results indicated that the air temperature showed an increasing trend of 0.34°C/decade, whereas the relative humidity showed a decreasing trend of 0.49%/decade and the wind speed values ranged from 1.3 ms-1 to 3.80 ms-1. These trends are statistically significant according to the Mann-Kendall test (p<0.05). The air temperature increased between the 1980s and 2010s, which corresponds to a period of rapid urbanization of the city. Future environmental conditions in João Pessoa will be determined in accordance with the urbanization processes.

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Section: Resultssupporting

confidence: 91%

Future scenarios of thermal bioclimatic conditions in a humid tropical city under urban development

Silva¹,

Santos²,

Lima³

et al. 2018

Rev. ambiente água

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“…As a result of urbanization, urban areas exhibit significantly higher surface and air temperatures than nearby suburban and rural areas, resulting in the urban heat island (UHI) phenomenon [1], which affects people's health and the sustainable development of cities [2,3]. A number of studies have attempted to achieve an understanding of the interactions between urbanization and UHI [4][5][6][7][8][9]. One of the most frequent topics is to evaluate the relationship between the urban physical properties and the UHI intensity.…”

Section: Introductionmentioning

confidence: 99%

Mapping Local Climate Zones Using ArcGIS-Based Method and Exploring Land Surface Temperature Characteristics in Chenzhou, China

Ya-ping

Zheng

2020

Sustainability

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The local climate zone (LCZ) has become a new tool for urban heat island research. Taking Chenzhou as the research object, eight urban spatial form elements and land cover elements are calculated respectively through ArcGIS, Skyhelios and ENVI software. The calculation results are then rasterized and clustered in ArcGIS to obtain the LCZ map at a resolution of 200 m. Afterwards, the land surface temperature (LST) of different local climate zones in the four seasons from 2017 to 2018 is further analyzed using one-way ANOVA F-test and Student’s t-test. The results suggest that: (1) by adding localized LCZ classes and applying the semi-automatic algorithm on the Arc-GIS platform, the final overall accuracy reaches 69.54%, with a kappa value of 0.67, (2) the compact middle-rise buildings (LCZ-2′) and open low-rise buildings (LCZ-6) heavily contribute to the high LST of the downtown area, while the large low-rise buildings (LCZ-8) cause the high LST regions in the eastern part of the town, (3) obvious land surface temperature differences can be detected in four seasons among different LCZ classes, with high LST in summer and autumn. Built-up LCZ classes generally revealed higher LSTs than land cover LCZs in all seasons. The findings of this study provide better understandings of the relationship between LCZ and LST, as well as important insights for urban planners on urban heat mitigation.

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“…The study of changes in the thermal environment due to urban expansion was based on Landsat LST images for many years, during which time researchers often used single day LST data to represent annual data, because of the satellites' long return time cycle, and frequent cloud contamination of images [42,48,49]. This made it difficult to accurately describe the temporal variation characteristics of local thermal environments.…”

Section: Discussionmentioning

confidence: 99%

Measuring the Urban Land Surface Temperature Variations in Zhengzhou City Using the Landsat-Like Data

Wang¹,

P²,

Yang³

et al. 2018

Preprint

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Satellite-based remote sensing technologies are utilized extensively to investigate urban thermal environments under rapid urban expansion. Current MODIS data is, however, unable to adequately represent the spatially detailed information because of its relatively coarser spatial resolution, while Landsat data can’t explore temporally the refined analysis due to the low temporal resolution. In order to resolve this situation, we used MODIS and Landsat data to generate “Landsat-like” data by using the flexible spatiotemporal data fusion method (FSDAF), and then studied spatiotemporal variation of land surface temperature (LST) and its driving factors. The results showed that 1) The estimated “Landsat-like” data have high precision; 2) By comparing 2013 and 2016 datasets, LST increases ranging from 1.8°C to 4°C were measurable in areas where the impervious surface area (ISA) increased, while LST decreases ranging from -3.52°C to -0.70°C were detected in areas where ISA decreased; 3) LST has a strongly negative relationship with the Normalized Difference Vegetation Index (NDVI), and a strongly positive relationship with Normalized Difference Built Index (NDBI) in summer; and 4) LST is well correlated with Building density (BD), in a complex conic mode, and LST may increase by 0.460°C to 0.786°C when BD increases by 0.1. Our findings can provide information useful for mitigating undesirable thermal conditions and for long-term urban thermal environmental management.

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Spatiotemporal impact of land use/land cover changes on urban heat islands: A case study of Paço do Lumiar, Brazil

Cited by 112 publications

References 48 publications

Future scenarios of thermal bioclimatic conditions in a humid tropical city under urban development

Future scenarios of thermal bioclimatic conditions in a humid tropical city under urban development

Mapping Local Climate Zones Using ArcGIS-Based Method and Exploring Land Surface Temperature Characteristics in Chenzhou, China

Measuring the Urban Land Surface Temperature Variations in Zhengzhou City Using the Landsat-Like Data

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