Understanding the seasonal variations of land surface temperature in Nanjing urban area based on local climate zone

Du, Peijun; Chen, Jike; Bai, Xuyu; Han, Wenquan

doi:10.1016/j.uclim.2020.100657

Cited by 59 publications

(40 citation statements)

References 30 publications

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“…Wang et al [11] presented that LCZ 2, 8 and 10 had the highest LST at both daytime and nighttime, however, our study showed LST variations of LCZs at daytime were not always consistent with that at nighttime, which depend on cities and seasons. This study also showed LST varied significantly in summer, that is consist with Du et al [25]. Nonetheless, there are still some limitations of the present study which should be improved in future.…”

Section: Discussionsupporting

confidence: 81%

“…The surface thermal characteristics of the LCZs between different cities are affected not only by urban climate zones, but also by temporal scale. Compared to previous studies focusing on a single city [25], or a single urban agglomeration [9,34], or daytime and nighttime [10], or seasonal variations [25], this study comprehensively researched three urban agglomerations in China covering 28 cities and both day/night and seasons. In addition, most studies only focused on LST variations based on LCZs, besides it, this study also investigated the main LCZ types associated with surface heating and cooling, as well as appropriate mitigation measures for urban cooling with optimal LCZ combinations.…”

Section: Discussionmentioning

confidence: 99%

“…However, the spatiotemporal variations of LST based on LCZs are different across different cities [22][23][24]. Du et al [25] showed that remote-sensed LST varied with LCZ and seasons in Nanjing, China, with the largest LST difference in summer. However, LST is negatively correlated with building height in all seasons, with the highest mean LST for large low-rise buildings (LCZ 8).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Urban Thermal Characteristics of Local Climate Zones and Their Mitigation Measures across Cities in Different Climate Zones of China

Yang

Qiao

et al. 2021

Remote Sensing

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Understanding the urban thermal environment is vital for improving urban planning and strategy development when mitigating urban heat islands. However, urban thermal characteristics of local climate zones (LCZ) are different within cities and most studies lack regional perspective. This study explored surface thermal performances of cities in three urban agglomerations (Jing-Jin-Ji, Yangtze River Delta and Pearl River Delta) in China using MODIS land surface temperature (LST). Besides that, the diurnal and seasonal LST variations of LCZs are also studied. Moreover, the optimal LCZs for better urban cooling are also investigated in this study. Although the thermal distributions of LCZs are different in China, there are still some similar features. Our four key findings were as follows. (1) LCZs in China are well classified, with average overall accuracy of 82% being higher than that in some previous studies. (2) The LST of mid-rise (LCZ 2, 5) is higher than that of high- and low-rise buildings (LCZ 1, 3, 4, 6); and compact buildings are warmer than open buildings (LCZ 1–3 > LST 4–6) in summer of China. That shows both mid-rise and compact buildings are not beneficial to cool urban. In addition, LST variations at daytime and in summer are more significant than nighttime and other seasons. (3) LST differences within LCZs are significant at p < 0.05, and are most significant in Jing-Jin-Ji (JJJ). The LST difference within built types (LCZ 1–10) is more significant than within natural types (LCZ A–G), showing that built types alteration will be more effective for thermal environmental improvement. (4) Under the current population and urban area, increasing greenness and water area in compact high-rise buildings are the most effective strategies for urban cooling in all three urban agglomerations, with the largest reduction in LST of 4.11 K in JJJ. These findings will provide support for thermal environment mitigation, urban planning and sustainable urban development.

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Section: Discussionsupporting

confidence: 81%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Urban Thermal Characteristics of Local Climate Zones and Their Mitigation Measures across Cities in Different Climate Zones of China

Yang

Qiao

et al. 2021

Remote Sensing

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“…The 17 LCZ types are compact high-rise (LCZ 1), compact mid-rise (LCZ 2), compact low-rise (LCZ 3), open high-rise (LCZ 4), open mid-rise (LCZ 5), open low-rise (LCZ 6), lightweight low-rise (LCZ 7), large low-rise (LCZ 8), sparsely low-rise (LCZ 9), heavy industry (LCZ 10), densely covered with trees (LCZ A), patchy covering of scattered trees (LCZ B), existence of bushes/scrub (LCZ C), low plants (LCZ D), bare rock/covered with paving tiles (LCZ E), covered with bare soil (LCZ F) and existence of water body (LCZ G). The LCZ method has been verified to be clear standard and wide adaptable in urban climate mapping [7][8][9][10][11]. The classification methods of LCZ have been widely investigated as well [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…Comparative studies have shown that LCZ classification is suitable to investigate the surface urban heat island (SUHI) [7,11,16,17]. Cai et al [7] pointed out that the land surface temperatures were generally consistent with LCZ types, with higher land surface temperatures observed in built-up LCZ types.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Characteristics of UHI (Urban Heat Island) in Summer Daytime Based on Observations on 50 Sites in 11 LCZ (Local Climate Zone) Types in Xi’an, China

Zhang

et al. 2020

Sustainability

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Urbanization has induced significant changes on local climate in urban areas. For sustainable urban planning, it is necessary to identify the distribution characteristics of urban heat island (UHI) and the effects of land cover properties. In situ measurements are frequently carried out to obtain critical data in urban climate studies. However, long-time continuous observations on multiple sites are still rare, even though they would be useful in mapping the distribution of UHI intensity. In the current work, three observation campaigns were carried out in Xi’an, China. Pedestrian- level air temperatures (PLAT) were measured with potable micro-environment stations on 50 sites in 11 local climate zone (LCZ) types. The normalized PLAT was used to investigate the canopy layer UHI characteristics and the effects of LCZ types. Results revealed that the land coverage type and the surface structure have significant influence on the local climate. The PLAT in high-surface-fraction building covered areas was higher than that in low-surface-fraction building covered areas. In areas with similar building surface fraction, building height influences the UHI magnitude as well, as tall buildings would provide more shielding on the pedestrian level. The average UHI magnitude and the standard deviation within each LCZ type were calculated by statistical analysis of the observed results, which proved to be useful for UHI mapping based on the LCZ classification results in urban areas.

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Spatiotemporal Evolution Characteristics of Urban Land Surface Temperature Based on Local Climate Zones in Xi’an Metropolitan, China

Zhang,

Zhou,

Yuan

et al. 2023

Chin. Geogr. Sci.

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Understanding the seasonal variations of land surface temperature in Nanjing urban area based on local climate zone

Cited by 59 publications

References 30 publications

Urban Thermal Characteristics of Local Climate Zones and Their Mitigation Measures across Cities in Different Climate Zones of China

Urban Thermal Characteristics of Local Climate Zones and Their Mitigation Measures across Cities in Different Climate Zones of China

Analyzing the Characteristics of UHI (Urban Heat Island) in Summer Daytime Based on Observations on 50 Sites in 11 LCZ (Local Climate Zone) Types in Xi’an, China

Spatiotemporal Evolution Characteristics of Urban Land Surface Temperature Based on Local Climate Zones in Xi’an Metropolitan, China

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