Spatio-temporal variability of urban heat islands in local climate zones of Delhi-NCR

Budhiraja, Bakul; Pathak, Prasad; Agrawal, Girish

doi:10.1117/12.2280253

Cited by 4 publications

(3 citation statements)

References 25 publications

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“…The impact of the structures in these zones on both the ambient as well as the surface temperature has been demonstrated in various studies, e.g., using in situ weather stations for temperature measurements (e.g., [152][153][154][155][156]) or LST as derived from remote sensing (e.g., [157][158][159][160]). Overall, findings are consistent indicating an increase of temperatures inside urban areas.…”

Section: Derivationmentioning

confidence: 99%

Remote Sensing in Environmental Justice Research—A Review

Weigand

Wurm

Dech

et al. 2019

IJGI

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Human health is known to be affected by the physical environment. Various environmental influences have been identified to benefit or challenge people’s physical condition. Their heterogeneous distribution in space results in unequal burdens depending on the place of living. In addition, since societal groups tend to also show patterns of segregation, this leads to unequal exposures depending on social status. In this context, environmental justice research examines how certain social groups are more affected by such exposures. Yet, analyses of this per se spatial phenomenon are oftentimes criticized for using “essentially aspatial” data or methods which neglect local spatial patterns by aggregating environmental conditions over large areas. Recent technological and methodological developments in satellite remote sensing have proven to provide highly detailed information on environmental conditions. This narrative review therefore discusses known influences of the urban environment on human health and presents spatial data and applications for analyzing these influences. Furthermore, it is discussed how geographic data are used in general and in the interdisciplinary research field of environmental justice in particular. These considerations include the modifiable areal unit problem and ecological fallacy. In this review we argue that modern earth observation data can represent an important data source for research on environmental justice and health. Especially due to their high level of spatial detail and the provided large-area coverage, they allow for spatially continuous description of environmental characteristics. As a future perspective, ongoing earth observation missions, as well as processing architectures, ensure data availability and applicability of ’big earth data’ for future environmental justice analyses.

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Section: Derivationmentioning

confidence: 99%

Remote Sensing in Environmental Justice Research—A Review

Weigand

Wurm

Dech

et al. 2019

IJGI

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“…However, land urbanization changes the urban spatial form, and the coarse land surface classification commonly used for the urban area does not allow for an accurate analysis of the effects of urban spatial form on UHIs. In this context, a new urban land surface classification system called Local Climate Zones (LCZs), which can reflect urban spatial form, has been increasingly used in UHI research [19][20][21][22][23]. The LCZ was proposed by Stewart and Oke of the University of British Columbia [24,25].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Characteristics of the Surface Urban Heat Island and Its Driving Factors Based on Local Climate Zones and Population in Beijing, China

Zhang

Liu

et al. 2021

Atmosphere

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The increasing degree of urbanization has continuously aggravated the surface urban heat island (sUHI) effect in China. To investigate the correlation between spatiotemporal changes of sUHI and urbanization in Beijing, land surface temperature in summer from 2000 to 2017 and the distribution of local climate zones (LCZs) in 2003, 2005, 2010, and 2017 was retrieved using remote sensing data and used to analyze the sUHI area and intensity change. The statistical method GeoDetector was utilized to investigate the explanatory ability of LCZs and population as the driving factors. The year of 2006 was identified as the main turning year for sUHI evolution. The variation the sUHI from 2000 showed first an increasing trend, and then a decreasing one. The sUHI pattern changed before and after 2009. Before 2009, the sUHI mainly increased in the suburbs, and then, the enhancement area moved to the central area. The sUHI intensity change under different LCZ conversion conditions showed that the LCZ conversion influences the sUHI intensity significantly. Based on population distribution data, we found that the relationship between population density and sUHI gets weaker with increasing population density. The result of GeoDetector indicated that the LCZ is the main factor influencing the sUHI, but population density is an important auxiliary factor. This research reveals the sUHI variation pattern in Beijing from 2000 and could help city managers plan thermally comfortable urban environments with a better understanding of the effect of urban spatial form and population density on sUHIs.

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“…Para Oke (1987) as ilhas de calor urbanas são causadas principalmente pelo desenvolvimento urbano que resulta em uma maior temperatura de superfície terrestre. Hu;Brunsell, (2017); Budhiraja (2017); Wang et al, (2019) apresentam os efeitos causados pelas ilhas de calor urbanas ao redor do mundo. Foi relatada uma forte associação entre mortalidade e alta temperatura, que apresenta riscos graves à saúde, incluindo infecções no trato respiratório, doenças cardiovasculares e doenças cerebrovasculares (Patz et al 2005).…”

Section: Introductionunclassified

Análise cienciométrica de estudos sobre ilhas de calor urbanas com uso de sensoriamento remoto de 2000 a 2020

Hora

Campos

2022

Paranoá

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No período recente, as mudanças climáticas globais verificadas pelo aumento da temperatura decorrente de ações antrópicas é uma das principais problemáticas ambientais. Em se tratando do aumento de temperatura entre áreas urbanas e rurais, numa escala local ou regional, os estudos tendem a avaliar o fenômeno das ilhas de calor. Compreender a importância do estudo das ilhas de calor urbanas, suas principais investigações e ocorrências podem contribuir para análise do fenômeno nos países de urbanização tardia. Sendo assim, o objetivo deste trabalho foi investigar , por meio de uma análise cienciométrica, o estado da arte das pesquisas de ilha de calor entre os anos de 2000 a 2020. A partir das definições iniciais, obteve-se uma triagem de 169 artigos. Para esse universo foi avaliada toda a produção científica; incluindo país, ano, autores, instituições, palavras-chave, jornal (fator de impacto), clima, população e área geográfica. A metodologia empregada permite afirmar que o número de publicações relacionadas a ilhas de calor urbanas tem aumentado constantemente desde 2000. O país que mais se destacou foi a China, responsável por cerca de 40% do total dos artigos sobre ilhas de calor urbanas. Chinese Academy of Sciences e Nanjing University, foram as duas Universidades da China em que mais publicaram artigos sobre ilhas de calor urbanas. A modelagem continua sendo o principal método, e o uso de ferramentas de sensoriamento remoto vem cada vez mais tomando destaque.

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Spatio-temporal variability of urban heat islands in local climate zones of Delhi-NCR

Cited by 4 publications

References 25 publications

Remote Sensing in Environmental Justice Research—A Review

Remote Sensing in Environmental Justice Research—A Review

Spatiotemporal Characteristics of the Surface Urban Heat Island and Its Driving Factors Based on Local Climate Zones and Population in Beijing, China

Análise cienciométrica de estudos sobre ilhas de calor urbanas com uso de sensoriamento remoto de 2000 a 2020

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