Surface urban heat island mitigation network construction utilizing source-sink theory and local climate zones

Xiang, Yang; Cen, Qingya; Peng, Chucai; Huang, Chunbo; Wu, Changguang; Teng, Mingjun; Zhou, Zhixiang

doi:10.1016/j.buildenv.2023.110717

Cited by 21 publications

(4 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, corridor construction in this region requires more comprehensive assessment and management, utilising compound structures or fragmented land spaces to establish links between the main urban area and external ecological source areas. Corridors passing through urban areas have a more pronounced improvement effect on the overall thermal environment than those on the urban periphery [74]. Compared to the network constructed by Liu et al, the network in this study does not include the Minjiang River as a source area, primarily due to the influence of social development [33].…”

Section: Network Pattern Optimisation Based On Urban Green Infrastruc...mentioning

confidence: 87%

Constructing an Ecological Network Based on Heat Environment Risk Assessment: An Optimisation Strategy for Thermal Comfort Coupling Society and Ecology

Gao,

Wang,

Gao

et al. 2024

Sustainability

View full text Add to dashboard Cite

Urbanisation is a significant driver of global climate change. It increases global temperatures, impacting the health of residents. To date, research on urban heat environments has focused on society or ecology, overlooking the value of integrating the two factors. The research objective is to integrate socio-ecological benefits, explore the construction methods of ecological-cooling networks, and provide reasonable guidance for urban climate planning, thus contributing to the alleviation of urban heat risks and improving thermal comfort. Using Fuzhou as an example, an environmental risk framework was used to construct an urban heat environment risk assessment strategy based on hazards (thermal comfort), exposure (human-development footprint), and vulnerability (natural geographic conditions). The source area was identified based on evaluation results, an ecological network was constructed using circuit theory, and key nodes were identified. Results showed that in 2005 and 2020, 3% and 12% of areas in Fuzhou had higher thermal environmental risks, the proportion of low-risk areas was 43% and 28%, respectively. In sum, 54 ecological source locations, 124 ecological corridors, 76 ecological pinch points, 110 obstacle points, and 12 stepping stones were identified during the construction of corridors in 2020. Compared with 2005, the source area has decreased by 1622.46 km2 and the average length of the corridor has also decreased by 4.69 km.

show abstract

Section: Network Pattern Optimisation Based On Urban Green Infrastruc...mentioning

confidence: 87%

Constructing an Ecological Network Based on Heat Environment Risk Assessment: An Optimisation Strategy for Thermal Comfort Coupling Society and Ecology

Gao,

Wang,

Gao

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…The WUDAPT procedure used in this study, allows the classification of the urban areas and the determination of the spatial range of distinguished LCZ classes based on commonly available and free Landsat data. For the estimation of the thermal differentiation of distinguished LCZs Landsat 5 and Landsat 8 data are used 24 , 36 . According to Lehnert et al 37 remote sensing LST measurements are used for the thermal analysis of LCZ in 17% of the studies.…”

Section: Introductionmentioning

confidence: 99%

Urban growth’s implications on land surface temperature in a medium-sized European city based on LCZ classification

Zwolska,

Półrolniczak,

Kolendowicz

2024

Sci Rep

View full text Add to dashboard Cite

The study determined the influence of changes in land use and land cover (LULC) on land surface temperature (LST) over a 33-year period based on a medium-sized European city (Poznań, Poland). The LST was estimated from Landsat 5, 8 and Terra (MOD11A2v6) satellites. The local estimation of climate patterns was based on the Local Climate Zones (LCZ) classification utilised with the methodology proposed by the World Urban Database and Access Portal Tools (WUDAPT). Moreover, the Copernicus’ imperviousness density product (IMD) was used. Between 2006 and 2018 the area with IMD of 41–100% increased by 6.95 km2, 0–20% decreased by 7.03 km2. The contribution of built-up LCZs increased by 7.4% (19.21 km2) between 1988 and 2021 reaching 13% (34 km2) within open mid-rise LCZ. Due to urbanisation and reforestation, low plants LCZ shrunk by 12.7%. For every 10% increase in IMD, LST increases by up to 0.14 °C. Between 1988 and 2021 the LSTm in specific LCZs rose from 1.52 up to 2.97 °C. As per LST models LCZ change from natural to built-up led up to 1.19 °C LST rise. The increase of the LSTm was registered even when the LCZ remained unchanged.

show abstract

“…The present study employed the LCZ classification, which has been widely used in previous urban climate studies. For example, it has been employed to estimate correlations between urban morphology and the urban heat island [38][39][40] and to assess the impact of LCZ changes on land surface temperature [41][42][43]. Additionally, it has been applied in works focusing on the methodology of classifying urban areas [43][44][45][46][47].…”

Section: Introductionmentioning

confidence: 99%

Biometeorological Conditions in Poznań, Poland: Insights from In Situ Summer Data

Półrolniczak,

Tomczyk,

Bednorz

2024

Atmosphere

View full text Add to dashboard Cite

Recent climatic changes, most evident in air temperature, also significantly impact sensible conditions, particularly affecting the human body during the summer season in urban areas. This study utilized hourly values of air temperature (t, °C) and relative humidity (RH, %) for 2008–2022 obtained from nine measurement points located in the city of Poznań. The measurement network was set up and supported by the Department of Meteorology and Climatology of Adam Mickiewicz University in Poznań. Based on these data, thermal conditions were characterized using the Humidex (HD), as well as “hot days” (Tmax > 30 °C) and heat waves determined based on them. The conducted research revealed variability in thermal conditions across the city. The highest average Tmax (27.4 °C) and HD values (31.3 °C), as well as the greatest average number of hot days (15 days), were recorded in the compact, dense city center. In contrast, the lowest values (respectively: 25.9 °C, 27.5 °C, 8 days) were observed in areas with a significantly greater proportion of green spaces located further from the center. Furthermore, significant trends of change were observed: an annual average Tmax increase of 1.2–1.6 °C/decade and HD values showing an increase of 1.5–3.0 °C/decade. This study also highlighted the noteworthy impact of urbanization and the presence of urban greenery on the frequency and total duration of heat waves. Between 2008 and 2022, the area of compact development experienced 26 heat waves lasting a total of 115 days, whereas the area with a high proportion of greenery recorded 14 cases and 55 days, respectively. The longest recorded heat wave, spanning 9 days, occurred in July 2010. Individual heat waves identified based on Tmax (>30 °C) may exhibit significant variations in terms of perceived conditions, as indicated by HD.

show abstract

Surface urban heat island mitigation network construction utilizing source-sink theory and local climate zones

Cited by 21 publications

References 44 publications

Constructing an Ecological Network Based on Heat Environment Risk Assessment: An Optimisation Strategy for Thermal Comfort Coupling Society and Ecology

Constructing an Ecological Network Based on Heat Environment Risk Assessment: An Optimisation Strategy for Thermal Comfort Coupling Society and Ecology

Urban growth’s implications on land surface temperature in a medium-sized European city based on LCZ classification

Biometeorological Conditions in Poznań, Poland: Insights from In Situ Summer Data

Contact Info

Product

Resources

About