Mapping the city scale anthropogenic heat emissions from buildings in Kuala Lumpur through a top-down and a bottom-up approach

Wang, Kai; Aktaş, Yasemin Didem; Malki-Epshtein, Liora; Wu, Di; Abdullah, Muhammad Firdaus Ammar Bin

doi:10.1016/j.scs.2021.103443

Cited by 27 publications

(5 citation statements)

References 51 publications

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“…Compared with the building type LCZ, the natural type LCZ had a lower surface temperature (except in winter). Taking summer as an example, the daytime surface temperature was LCZG(13) < LCZA/B (12) < LCZD(11) < LCZE (7), the nighttime surface temperature presented LCZD(13) < LCZA/B(12) < LCZG(11) < LCZE (7), which indicates that in the hot summer, the vegetation and water bodies have lower surface temperatures in both daytime and night-time, related studies have shown that vegetation and water bodies are important components of urban heat island mitigation in cities (66). Zhou et al (34) quantified diurnal and seasonal UHII of 32 major Chinese cities to analyze their spatial variability and influencing factors, and suggested that a variety of strategies are needed to effectively mitigate the UHI effect.…”

Section: Changes In Lst As a Function Of Lczmentioning

confidence: 99%

“…As a result, the temperature of the inner city is higher than that of the surrounding areas, which is called the urban heat island (UHI) effect ( 1 , 2 ). The UHI affects air quality ( 3 ), vegetation phenology ( 4 ), and energy and water demand ( 5 – 7 ), while also increasing heat-related human casualties ( 8 ). By 2050, 68% of the global population is expected to live in urban areas, according to UN statistics ( 9 ).…”

Section: Introductionmentioning

confidence: 99%

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Exploring seasonal diurnal surface temperature variation in cities based on ECOSTRESS data: A local climate zone perspective

Shi

Yang

Wang

et al. 2022

Front. Public Health

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High urban temperatures affect city livability and may be harmful for inhabitants. Analyzing spatial and temporal differences in surface temperature and the thermal impact of urban morphological heterogeneity can promote strategies to improve the insulation of the urban thermal environment. Therefore, we analyzed the diurnal variation of land surface temperature (LST) and seasonal differences in the Fifth Ring Road area of Beijing from the perspective of the Local Climate Zone (LCZ) using latest ECOSTRESS data. We used ECOSTRESS LST data with a resolution of 70 m to accurately interpret the effects of urban morphology on the local climate. The study area was dominated by the LCZ9 type (sparse low-rise buildings) and natural LCZ types, such as LCZA/B (woodland), LCZD (grassland), and LCZG (water body), mainly including park landscapes. There were significant differences in LST observed in different seasons as well as day and night. During daytime, LST was ranked as follows: summer > spring > autumn > winter. During night-time, it was ranked as follows: summer > autumn > spring > winter. All data indicated that the highest and lowest LST was observed in summer and winter, respectively. LST was consistent with LCZ in terms of spatial distribution. Overall, the LST of each LCZ during daytime was higher than that of night-time during different seasons (except winter), and the average LST of each LCZ during the diurnal period in summer was higher than that of other seasons. The LST of each LCZ during daytime in winter was lower than that of the corresponding night-time, which indicates that it is colder in the daytime during winter. The results presented herein can facilitate improved analysis of spatial and temporal differences in surface temperature in urban areas, leading to the development of strategies aimed at improving livability and public health in cities.

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Section: Changes In Lst As a Function Of Lczmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploring seasonal diurnal surface temperature variation in cities based on ECOSTRESS data: A local climate zone perspective

Shi

Yang

Wang

et al. 2022

Front. Public Health

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“…Surveys were also conducted to gather building data from houses on both sides of Smith Street [31]. The data collected included the type of building, number of levels on a building (number of storeys), type of occupancy or usage, location, and any important observations of buildings [32]. Additional information about each building was gathered using Google Earth Pro (v7.3.3).…”

Section: Estimation Of Anthropogenic Heat Emission Factorsmentioning

confidence: 99%

An Estimation of the Anthropogenic Heat Emissions in Darwin City Using Urban Microclimate Simulations

Rajapaksha

Nnachi²,

Tariq

et al. 2022

Sustainability

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The energy consumption due to urbanization and man-made activities has resulted in production of waste, heat, and pollution in the urban environment. These have further resulted in undesirable environmental issues such as the production of excessive Anthropogenic Heat Emissions (AHE), thus leading to an increased Urban Heat Island (UHI) effect. The aim of this study was to estimate the total AHE based on the contribution of three major sources of waste heat generation in urban environment, i.e., buildings, vehicular traffic, and human metabolism. Furthermore, a comparison of dominating anthropogenic heat factor of Darwin with that of other major international cities was carried out. Field measurements of microclimate (temperatures, humidity, solar radiation, and other factors of climate measures) were conducted along Smith Street, Darwin City. Then, surveys were conducted to collect information regarding the buildings, vehicle traffic and Human population (metabolism) in the study area. Each individual component of AHE was calculated based on conceptual framework of anthropogenic heat model developed within this study. The results showed that AHE from buildings is the dominant factor influencing the total AHE Darwin, contributing about to 87% to 95% of total AHE. This is followed by vehicular traffic (4–13%) and lastly, human metabolism (0.1–0.8%). The study also shows that Darwin gained an average of 990 Wm−2 solar power in a peak day. This study proves that building anthropogenic heat is the major dominating factor influencing the UHI in tropical urban climate.

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“…Thus RS-SEB is a universal method for obtaining high-resolution AH ( Yu et al, 2021 ), but the influence of

needs to be avoided to more intuitively reflect AH changes induced by human activity anomalies during the COVID-19 pandemic. A combination of different AH estimation methods could be a potential solution ( Chow et al, 2014 ; Wang et al, 2022 ; Zheng and Weng, 2018 ). In addition, the reduction in air pollutants during the pandemic slightly enhanced the solar radiation reaching the surface, yet the UHI showed an anomalous decreasing trend in most areas.…”

Section: Introductionmentioning

confidence: 99%

Anthropogenic heat variation during the COVID-19 pandemic control measures in four Chinese megacities

Meng

Qian

Schlink

et al. 2023

Remote Sensing of Environment

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Mapping the city scale anthropogenic heat emissions from buildings in Kuala Lumpur through a top-down and a bottom-up approach

Cited by 27 publications

References 51 publications

Exploring seasonal diurnal surface temperature variation in cities based on ECOSTRESS data: A local climate zone perspective

Exploring seasonal diurnal surface temperature variation in cities based on ECOSTRESS data: A local climate zone perspective

An Estimation of the Anthropogenic Heat Emissions in Darwin City Using Urban Microclimate Simulations

Anthropogenic heat variation during the COVID-19 pandemic control measures in four Chinese megacities

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