Seasonal effects of urban morphology on land surface temperature in a three-dimensional perspective: A case study in Hangzhou, China

Han, Sijia; Hou, Hao; Estoque, Ronald C.; Zheng, Yaoyao; Shen, Chuhui; Murayama, Yuji; Pan, J. J.; Wang, Ben; Hu, Tangao

doi:10.1016/j.buildenv.2022.109913

Cited by 35 publications

(7 citation statements)

References 71 publications

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“…The ISA and BA had no observable inflection points (Figure 11). Established studies have shown inflection points in the effects of BH, VC, and FAR on the LST [44,[117][118][119], and some studies have also found inflection points in the ISA and BA [118][119][120]. This paper is in general agreement with these conclusions, except for differences in the inflection point values and whether there is an inflection point in the ISA and BA.…”

Section: Optimal Solution Of Impact Effect On Lstsupporting

confidence: 86%

“…However, the normalized difference built-up index (NDBI) [22,23], impervious surface [24,25], building density [26,27], building volume [28,29], space congestion [28,30], and distribution uniformity [28] are positively correlated with it. Some studies have also pointed out that the building height [31,32], street aspect ratio [33,34], FAR [28,35], and sky view factor [36,37] effectively contribute to LST elevation, and the relationship between the two varies greatly across scales [38,39] and functional areas [40,41], as well as time periods [29,42] and seasons [43,44]. The second is to analyze the difference in the LST among different units by constructing land-use units with different built environments.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic Impact of Urban Built Environment on Land Surface Temperature Considering Spatio-Temporal Heterogeneity: A Perspective of Local Climate Zone

Zhao,

Qi,

Yan

et al. 2023

Land

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Thermal environment deterioration has seriously threatened urban habitat quality and urban sustainable development. The evolution of the urban built environment (UBE) is an important cause for urban thermal environment variation. However, the dynamic effect of the UBE on the land surface temperature (LST) is rarely studied by combining the local climate zone (LCZ) theory and spatio-temporal heterogeneity. Based on a case study of Beilin District in Xi’an, China, this paper identified LCZ types of Beilin District in 2010, 2015, and 2020 using the GIS method. It also analyzed the spatial–temporal characteristics of the LST in summer based on the remote sensing retrieval method and explored the effects of the built environment on the LST by Geodetector and geographically weighted regression (GWR). The results showed the following: (1) The area share of dense building zones in Beilin District was greater than that of open building zones and natural surface zones, while the share of mid- and high-rise dense building zones continued to increase and the share of low-rise dense building zones continued to decrease during the study period. (2) The LST of different LCZ types in Beilin District was obviously different, and the LST of dense building zones was generally higher than that of open building zones and natural surface zones. Meanwhile, the LST of mid- and low-rise dense building zones increased gradually, and the LST of high-rise open building zones decreased gradually, but the overall warming area was obviously more than the cooling area. (3) The effects of the UBE factors on the LST varied greatly, with their interaction having an enhancement effect. The direct and interactive influence of the two-dimensional (2D) UBE indicators on the LST were greater than those of the three-dimensional (3D) indicators, but there was a gradual decrease in the force of the 2D indicators and a simultaneous diminution, enhancement, and invariance of the force of the 3D indicators. (4) Vegetation cover (VC) and floor area ratio (FAR) acted negatively, and the building height (BH) was changing from a positive to a negative role, with the average action intensity of VC changing from −0.27 to −0.15, FAR from −0.20 to −0.16, and BH from 0.05 to −0.04. The impervious surface area (ISA), building area (BA), and space congestion (SC) acted positively, with the average action intensity of the ISA changing from 0.12 to 0.20, BA from 0.12 to 0.19, and SC was stable at 0.04. The framework enables a deeper portrayal of LST changes in different LCZs, reflecting the direct and interactive effects of different UBE indicators on LST, as well as local variations in the impact effects and provides a basis for urban managers or planners to improve urban heat resilience.

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Section: Optimal Solution Of Impact Effect On Lstsupporting

confidence: 86%

Section: Introductionmentioning

confidence: 99%

Dynamic Impact of Urban Built Environment on Land Surface Temperature Considering Spatio-Temporal Heterogeneity: A Perspective of Local Climate Zone

Zhao,

Qi,

Yan

et al. 2023

Land

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“…Over the past two decades, characterized by its economic soar, Hangzhou City has undergone high-speed urbanization, with the urban population rising from 3.73 million in 2000 to 10.39 million in 2022 [31,32]. At the same time, this region has experienced intense land-use changes with the expansion of impervious surfaces, with consequential environmental impacts, such as urban inland inundation, heat island formation, and decreasing vegetation carbon storage [37][38][39].…”

Section: The Study Areamentioning

confidence: 99%

Annually Spatial Pattern Dynamics of Forest Types under a Rapid Expansion of Impervious Surfaces: A Case Study of Hangzhou City

Zhu,

Zhou,

Liu

et al. 2023

Forests

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Dramatic forest dynamics strongly influence pressure mitigation from the increasing population and climate changes of an urban landscape. Effectively monitoring landscapes in a spatiotemporally consistent manner, satellite remote sensing has emerged as the first analytical tool to help us understand the changes in urban forests. At present, most studies focus on classification algorithms, spatial analysis methods, and ecosystem models, and the literature lacks spatiotemporally explicit research on the responses of different types of forests to urbanization. Thus, in this study, Hangzhou was selected as a typical metropolitan area to determine the annual spatial patterns of urban forests at a forest-type level. To illustrate the spatial pattern dynamics of different forest types resulting from rapid urbanization, this study characterized the Landsat-based spatial patterns of different forest types, as well as their annual changes from 2000 to 2022 using object-based backdating classification, land-use transfer matrix, area-weighted centroids, and landscape pattern indexes. The spatiotemporal effects of impervious surface expansion on forest pattern changes at a type scale were discussed. The results demonstrated that forests, mainly located in the southwest, decreased from 11,660.69 to 11,516.15 km2. Moreover, evergreen broadleaved forests occupied the largest area and had the most decreased ratio among the three forest types over 23 years, followed by evergreen needle-leaved and deciduous broadleaved forests. In total, 103.37 km2 of forest areas transformed to impervious surfaces, with the highest annual transformation of area occurring among evergreen broadleaved forests widely across Hangzhou City and the lowest occurring among deciduous broadleaved forests. Forests lost adjacency due to the development of Hangzhou City, while this southwestward shrinkage slowed down over 23 years, resulting in the highest increase in the degree of evergreen broadleaved forest fragmentation. Therefore, measures of city planning according to the deep effects of adjustments of administrative divisions to forest suitability should be implemented, such as green ecological corridor construction. This research provides a Landsat-based methodology at a spatiotemporally explicit-scale perspective for better understanding forest changes under high-speed urbanization.

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“…Another approach to quantifying land cover composition is calculating the proportions and spatial arrangements of LULC types using landscape metrics [30]. While metrics summarize distinct LULC patterns, individual metrics' effects are not well understood because they are calculated based on different land cover classification schemes and grid sizes [19,23,31]. The percentages and mix of distinct LULC types may provide a comparable control for LST effects and facilitate interpretation.…”

Section: Literature Reviewmentioning

confidence: 99%

Impacts of Urban Morphology on Seasonal Land Surface Temperatures: Comparing Grid- and Block-Based Approaches

Jeon,

Park,

Guldmann

2023

IJGI

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Climate change is expected to result in increased occurrences of extreme weather events such as heat waves and cold spells. Urban planning responses are crucial for improving the capacity of cities and communities to deal with significant temperature variations across seasons. This study aims to investigate the relationship between urban temperature fluctuations and urban morphology throughout the four seasons. Through quadrant and statistical analyses, built-environment factors are identified that moderate or exacerbate seasonal land surface temperatures (LSTs). The focus is on Seoul, South Korea, as a case study, and seasonal LST values are calculated at both the grid (100 m × 100 m) and street block levels, incorporating factors such as vegetation density, land use patterns, albedo, two- and three-dimensional building forms, and gravity indices for large forests and water bodies. The quadrant analysis reveals a spatial segregation between areas demonstrating high LST adaptability (cooler summers and warmer winters) and those displaying LST vulnerability (hotter summers and colder winters), with significant differences in vegetation and building forms. Spatial regression analyses demonstrate that higher vegetation density and proximity to water bodies play key roles in moderating LSTs, leading to cooler summers and warmer winters. Building characteristics have a constant impact on LSTs across all seasons: horizontal expansion increases the LST, while vertical expansion reduces the LST. These findings are consistent for both grid- and block-level analyses. This study emphasizes the flexible role of the natural environment in moderating temperatures.

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Seasonal effects of urban morphology on land surface temperature in a three-dimensional perspective: A case study in Hangzhou, China

Cited by 35 publications

References 71 publications

Dynamic Impact of Urban Built Environment on Land Surface Temperature Considering Spatio-Temporal Heterogeneity: A Perspective of Local Climate Zone

Dynamic Impact of Urban Built Environment on Land Surface Temperature Considering Spatio-Temporal Heterogeneity: A Perspective of Local Climate Zone

Annually Spatial Pattern Dynamics of Forest Types under a Rapid Expansion of Impervious Surfaces: A Case Study of Hangzhou City

Impacts of Urban Morphology on Seasonal Land Surface Temperatures: Comparing Grid- and Block-Based Approaches

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