Evaluation of seasonal variability in magnitude of urban heat islands using local climate zone classification and surface albedo

Dutta, K.; Basu, Debolina; Agrawal, Sonam

doi:10.1007/s13762-021-03602-w

Cited by 18 publications

(15 citation statements)

References 42 publications

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“…Urban sprawl has not only extended horizontally, but abundant multi‐storeyed buildings have also been constructed. Delhi has a mixed built‐up pattern of low congested buildings in old city areas alongside high‐rise and mid‐rise buildings in other sections (Dutta et al ., 2021). This urban morphology is expected to affect local temperature patterns in distinct ways.…”

Section: Study Areamentioning

confidence: 99%

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Ambient temperature modelling from surface characteristics and associating urban morphology with thermal discomfort

Dutta,

Basu,

Agrawal

2024

Singap J Trop Geogr

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Urban heat island assessment is of paramount importance when monitoring microclimate changes, increased heat stress, mortality and energy consumption. Simply analysing land surface temperature patterns for human comfort and health assessment is often inadequate. In this study, we attempt to resolve this inadequacy with ambient temperature modelling from multiple surface characteristics for a tropical megacity. A 336 datapoint‐based multilinear regression model was formulated to predict the maximum summer air temperature with a mean absolute error of 0.694°C. Specific locations of critical thermal environments were demarcated with Getis‐Ord statistic. Based on our results, extreme hotspots covered 10.53 per cent of the city on a daily basis at 99 per cent confidence level. The application of an outdoor thermal comfort index highlighted the existence of very strong heat stress zones over 14.67 per cent of the study area. The air temperature hotspots were verified with intra‐urban variation in carbon sequestration. This environmental parameter was used to strengthen the observed results since, carbon sequestration directly links urbanization with degradation of thermal environments. Further, five urban morphological parameters were analysed to conclude that building density and height were the most significant urban design factors leading to increased air temperature. Simultaneous local climate zone mapping depicted that heat islands were dominated by mid and high‐rise built‐up areas, of which 68.44 km2 of that area is suitable for vertical and roof gardening. Another 33.29 km of road stretch was delineated within low‐rise built‐up areas with scope for green landscaping to improve urban sustainability.

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Section: Study Areamentioning

confidence: 99%

“…(Zhang et al 2017;Nguyen et al 2022;Dutta et al, 2023). This leads to considerable heat trapping and local warming (Dutta et al, 2021;Grover & Singh, 2015). This rising heat is further exacerbated by anthropogenic activities like combustion (Chow & Roth, 2006).…”

Section: Introductionmentioning

confidence: 99%

Ambient temperature modelling from surface characteristics and associating urban morphology with thermal discomfort

Dutta,

Basu,

Agrawal

2024

Singap J Trop Geogr

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“…Other methods used to differentiate SUHI in urban and suburban/rural areas appear in 20% of the articles reviewed. While [35,40] uses the traditional SUHI method, consisting of the difference between the urban and rural areas LST, other studies, such as [41,42], only analyze the study area using the LST intensity and heat maps. The method that appears the most, 39% of the publications, is from the World Urban Database and Access Portal Tools (WUDAPTs).…”

Section: Surface Urban Heat Island (Suhi) Calculationmentioning

confidence: 99%

“…2020 [14] Inter-local climate zone differentiation of land surface temperatures for Management of Urban Heat in Nairobi City, Kenya 2020 [61] Mapping Local Climate Zones Using ArcGIS-Based Method and Exploring Land Surface Temperature Characteristics in Chenzhou, China 2020 [62] Optimizing local climate zones to mitigate urban heat island effect in human settlements 2020 [4] Remote sensing of urban thermal environments within local climate zones: A case study of two high-density subtropical Chinese cities 2020 [63] Spatial and temporal analysis of the increasing effects of large-scale infrastructure construction on the surface urban heat island 2020 [51] Spatiotemporal Changes in the Urban Heat Island Intensity of Distinct Local Climate Zones: Case Study of Zhongshan District, Dalian, China 2020 [38] The local climate impact of an African city during clear-sky conditions-Implications of the recent urbanization in Kampala (Uganda) 2020 [24] Urban Spatial Patterns and Heat Exposure in the Mediterranean City of Tel Aviv 2020 [45] Use of Local Climate Zones to investigate surface urban heat islands in Texas 2020 [64] Using local climate zones to compare remotely sensed surface temperatures in temperate cities and hot desert cities 2020 [40] A cooled city? Comparing human activity changes on the impact of urban thermal environment before and after city-wide lockdown 2021 [47] A practical approach of urban green infrastructure planning to mitigate urban overheating: A case study of Guangzhou 2021 [42] An application of the LCZ approach in surface urban heat island mapping in Sofia, Bulgaria 2021 Evaluation of seasonal variability in magnitude of urban heat islands using local climate zone classification and surface albedo 2021 [41] Exploring diurnal thermal variations in urban local climate zones with ECOSTRESS land surface temperature data 2021 [27] Exploring the relationship between urban form and land surface temperature (LST) in a semi-arid region case study of Ben Guerir city-Morocco 2021 [35] LCZ scheme for assessing Urban Heat Island intensity in a complex urban area (Beirut, Lebanon) 2021 [66] Local climate zones and thermal characteristics in Riyadh City, Saudi Arabia 2021 [67] Table A1. Cont.…”

Section: Final Considerationsmentioning

confidence: 99%

Local Climate Zones to Identify Surface Urban Heat Islands: A Systematic Review

et al. 2023

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The Land Surface Temperature (LST) obtained by remote sensing data is an essential indicator for analyzing the Surface Urban Heat Island (SUHI). A factor contributing to its occurrence is the reflections of the different materials in urban and rural areas, which significantly affect the energy balance near the surface. Therefore, recent studies have increasingly used the Local Climate Zones (LCZs) classification system to discriminate those urban areas. Therefore, our study aims to perform a systematic review using the PRISMA method of LCZ classification applied to understand the LST and the SUHI phenomenon. At first, 10,403 related articles were found in the scientific literature which, after passing through filtering stages, resulted in 51 that were further analyzed. Our results showed that these articles were very recent, beginning in 2016, and present an increasing trend. Even though all articles reviewed somehow try to understand the Urban Heat Island phenomenon, in more than half of them, the SUHI calculation method was not mentioned. China was the country with the most studies. Images from Landsat and TERRA/AQUA sensors appeared in 82% of the studies. The method that appears the most to LCZ definitions is from the World Urban Database. Finally, we conclude that LCZ mapping methodologies were accurate enough for SUHI studies considering the current climatic changes. Therefore, this systematic review can help new studies on SUHI identification through LCZ in different world areas using remote sensing data to estimate the LST.

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Section: Surface Urban Heat Island (Suhi) Calculationmentioning

confidence: 99%

Local Climate Zones to Identify Urban Surface Heat Islands: a Systematic Review

Fernandes¹,

Nascimento²,

Freitas³

et al. 2022

Preprint

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The Land Surface Temperature (LST) is an essential indicator for analyzing the Surface Urban Heat Island (SUHI). A factor contributing to its occurrence is the reflections of the different materials in urban and rural areas, which significantly affect the energy balance near the surface. Therefore, recent studies have increasingly used the Local Climate Zones (LCZ) classification system to discriminate those urban areas. Therefore, our study aims to do a systematic review using the PRISMA method of LCZ classification applied to understand the LST and the SUHI phenomenon. At first, it was found in the scientific literature 10,403 articles which, after passing through filtering stages, resulted in 51 that were further analyzed. Our results showed that these articles were very recent, beginning in 2016. However, presenting an increasing trend. China was the country with more studies. Landsat and TERRA/AQUA sensors appeared in 82% of the studies. The method that appears the most to LCZ definitions is from the World Urban Database. Finally, considering the current climatic changes, this systematic review can help new studies on SUHI identification through LCZ in different world areas using remote sensing data to estimate the LST.

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Evaluation of seasonal variability in magnitude of urban heat islands using local climate zone classification and surface albedo

Cited by 18 publications

References 42 publications

Ambient temperature modelling from surface characteristics and associating urban morphology with thermal discomfort

Ambient temperature modelling from surface characteristics and associating urban morphology with thermal discomfort

Local Climate Zones to Identify Surface Urban Heat Islands: A Systematic Review

Local Climate Zones to Identify Urban Surface Heat Islands: a Systematic Review

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