Do water bodies play an important role in the relationship between urban form and land surface temperature?

Cai, Zhi; Han, Guifeng; Chen, Ming-Chun

doi:10.1016/j.scs.2018.02.033

Cited by 159 publications

(90 citation statements)

References 54 publications

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“…This pattern suggests that vegetation and water body play an important role in alleviating the UHI effect. Some studies indicate that water bodies have a cooling effect and can lower the temperature of their surroundings [43,[49][50][51][52]. This result in Suzhou confirms the association between cool areas with relatively low LST and large open water bodies, such as rivers, lakes, and ponds.…”

Section: Urban-rural Gradient Analysissupporting

confidence: 54%

Spatial Variation of Urban Thermal Environment and Its Relation to Green Space Patterns: Implication to Sustainable Landscape Planning

Wu¹,

Zhang

2018

Sustainability

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Abstract:The rapid changes of land covers in urban areas are one of major environmental concerns because of their environmental impacts. Such land cover changes include the transformation of green space to impervious surface, and the increase of land surface temperature (LST). The objective of this study was to examine the spatial variation of urban landscape composition and configuration, as well as their influences on LST in Suzhou City, China. Landsat-8 image was processed to extract land covers and retrieve LSTs that were used to study relationship between spatial variation of LST and land covers. The results indicated that there was a significantly negative correlation between mean LST and green space coverage along the urban-rural gradients. With every 10% increased green space coverage, the mean LST drop was about 1.41 • C. A grid-base analysis performed at various grid sizes indicated that an increase in the percentage of surface water body area has a greater cooling effect of the mean LST than a vegetation increase. The mean LST had a significantly negative correlation with both the shape and aggregation indexes of the green space patches. Our results suggest that the sustainable landscape planning of green space in a typical city with a large water area should include both the vegetation and the surface water covers. The increased percentage of vegetation and surface water covers had the greatest cooling effect on an urban thermal environment, which is one of the ecosystem services that green space provides. A dense distribution of green space patches with complex shapes should be considered in urban sustainable landscape planning for increasing ecosystem services.

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Section: Urban-rural Gradient Analysissupporting

confidence: 54%

Spatial Variation of Urban Thermal Environment and Its Relation to Green Space Patterns: Implication to Sustainable Landscape Planning

Wu¹,

Zhang

2018

Sustainability

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“…In this study, the mean value of LST demonstrates that water bodies (27.69 °C) always have the lowest LST, which implies that blue spaces are effective factors in reducing the negative impact of heat waves and enhancing heat resilience. As Cai (2018) [43] pointed out in the same study area,…”

Section: Reducing the Heat Vulnerability By Water Bodies And Green Spmentioning

confidence: 60%

“…In this study, the mean value of LST demonstrates that water bodies (27.69 • C) always have the lowest LST, which implies that blue spaces are effective factors in reducing the negative impact of heat waves and enhancing heat resilience. As [43] pointed out in the same study area, the cooling effect of water bodies has a great impact on the relationship between urban form factors and LST, especially when the sample's distance to water bodies is less than 250 m. Taking the HI classes as an example, in the heat vulnerability assessment, there is little difference in the housing price and building age between them, while there is great difference in the distribution of LST. The HI samples near water bodies have a lower LST, and the samples far from the water bodies have a higher LST, which results in a big HVI value range and the HI samples near water bodies have a lower HVI value (Figure 6h).…”

Section: Reducing the Heat Vulnerability By Water Bodies And Green Spmentioning

confidence: 73%

“…Therefore, this paper uses LST to evaluate the heat exposure; the higher the LST, the higher the heat exposure. LST was retrieved using the atmospheric correction method in the Landsat 8 Thermal Infrared Sensor (TIRS) band (band 10) and normalized the vegetation index (NDVI), which was extracted in the red band (R, band 4) and near-infrared band (NIR, band 5), the process and formulas of which are based on the work of Cai (2018) [43]. The retrieved LST (22-49 • C) ( Figure 1b) is highly consistent with the air temperature (28-38 • C) of the same day, implying that the retrieved results are reliable.…”

Section: Exposurementioning

confidence: 99%

“…The HI samples near water bodies have a lower LST, and the samples far from the water bodies have a higher LST, which results in a big HVI value range and the HI samples near water bodies have a lower HVI value (Figure 6h). Blue spaces not only have a substantial impact on the urban thermal environment [43], but also positively affect socio-economic conditions, such as neighboring housing prices [55,56]. As Qiang (2019) [55] and Luttik (2000) [56] pointed out, wealthier residents possess a higher share of ocean visibility.…”

Section: Reducing the Heat Vulnerability By Water Bodies And Green Spmentioning

confidence: 99%

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Assessing the Heat Vulnerability of Different Local Climate Zones in the Old Areas of a Chinese Megacity

et al. 2019

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Frequent and extreme heat waves have strongly influenced the sustainable development of cities and resulted in a higher level of mortality in residents. Using the Local Climate Zone (LCZ) classification scheme, combined with the factors of land surface temperature (LST), building age (BA), and housing price (HP), and the normalized values of which represent heat exposure, sensitivity, and adaptability, respectively, this paper investigates a practical method for assessing the heat vulnerability of different LCZ classes in the old areas of a Chinese megacity, taking the Yuzhong district of Chongqing city as a case study. The results reveal that the distribution of LCZ classes in this study area exhibits a typical circle-layer distribution pattern from the city center to the suburbs. Heavy industry areas are the most vulnerable, with the highest exposure to heat waves, the oldest building age and the lowest housing price. Compact class areas (compact high-rise, compact mid-rise and compact low-rise) are usually more vulnerable than open class areas (open high-rise, open mid-rise, and open low-rise) and low-rise buildings are always more susceptible to heat waves than mid-rise and high-rise buildings. The methods and findings can help us to better understand the comprehensive and space-time action rules of heat vulnerability, thereby inspiring scientific and rational urban planning strategies to mitigate or adapt to urban heat weaves towards the sustainable development of cities and society.2 of 15 an extreme heat wave caused more than 70,000 deaths in Europe [13], and the extreme heat waves in the United States from 1999 to 2010 resulted in 7415 deaths, more than the total number of deaths from typhoons, floods, earthquakes and other disasters during the same period [14].Therefore, it is urgent to assess the vulnerability of areas subject to urban heat waves and provide corresponding mitigation or adaptation strategies based on it. This has become a hot topic in the study of healthy cities. Heat vulnerability refers to the degree of vulnerability or inability of urban residents to cope with the adverse effects of heat waves, and it is typically composed of three types of indicators: exposure, sensitivity and adaptability [15,16]. In this context, "exposure" refers to the proximity of the location of a group or individual to the hazards of heat waves, which reflect the characteristics, intensity and frequency of the heat waves suffered by urban residents [17]. The most widely used indicators for evaluating heat exposure include the urban thermal environment (e.g., air temperature, land surface temperature and urban heat island intensity) [18,19] and urban spatial parameters (e.g., sky view factor and impervious surface fraction) [20]. In this context, "sensitivity" refers to the degree to which urban residents change their physiological structure in the face of the external interference of extreme heat waves. Widely used evaluation indicators include the proportion of vulnerable groups, such as the elderly, infants ...

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Exploring the Interplay Between Urban Landscape and Land Surface Temperature: Case Study of South Twenty Four Parganas

Sinha,

Banerjee,

Patnaik

2024

Advances in Science, Technology &Amp; Innovation

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Do water bodies play an important role in the relationship between urban form and land surface temperature?

Cited by 159 publications

References 54 publications

Spatial Variation of Urban Thermal Environment and Its Relation to Green Space Patterns: Implication to Sustainable Landscape Planning

Spatial Variation of Urban Thermal Environment and Its Relation to Green Space Patterns: Implication to Sustainable Landscape Planning

Assessing the Heat Vulnerability of Different Local Climate Zones in the Old Areas of a Chinese Megacity

Exploring the Interplay Between Urban Landscape and Land Surface Temperature: Case Study of South Twenty Four Parganas

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