Assessment of urban blue-green space cooling effect linking maximum and accumulative perspectives in the Yangtze River Delta, China

Cui, Yingxue; Guo, Beibei; Li, Wei; Kong, Xuemin

doi:10.1007/s11356-023-30892-z

Cited by 9 publications

(2 citation statements)

References 74 publications

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“…Bluegreen space is a term in urban planning that emphasizes the importance of green spaces and natural water flows in cities and belongs to a category of "nature-based solutions (NBSs)" addressing climate change [8]. Green spaces refer to all vegetated areas, such as forests, grasslands, croplands, and other areas dominated by vegetation cover, while blue spaces refer to all natural and artificial water bodies, such as lakes, reservoirs, rivers, and other areas dominated by waterbodies or watercourses [9][10][11][12]. Thus, it is imperative to analyze the spatial and temporal variability of the blue-green landscape patterns in the wetland areas of the Dongting Lake and to reveal the main constraints that significantly affect variability so that effective climate adaptation plans for improving the sustainability of the wetland area can be developed.…”

Section: Introductionmentioning

confidence: 99%

The Spatial and Temporal Variability of the Blue–Green Spatial Structures of the South Dongting Lake Wetland Areas Amidst Climate Change, including Its Relationship with Meteorological Factors

Luo,

Li,

Cao

et al. 2024

Water

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In recent years, the water level of the Dongting Lake (DTL) has been continuously low, and the wetland area and landscape pattern have changed significantly. Considering the obvious spatial heterogeneity of water regime changes in different waters of the DTL, this paper takes two core areas of the South Dongting Lake Nature Reserve (SDLNR) as study areas and analyzes the spatial distribution characteristics of the wetland blue–green landscape patterns by using remote sensing image data and hydrological and meteorological data. The multi-scale correlation between runoff, precipitation, temperature, and evapotranspiration in the SDLNR was studied via cross-wavelet transform analysis. The results show the following: (1) The change in the blue–green spatial patterns in different regions in different periods is inconsistent, and this inconsistency is related to the topography, climate, and human activities in each region; (2) there are seasonal fluctuations in precipitation, air temperature, and evapotranspiration in the SDLNR. Among them, the annual mean temperature shows a rising trend and passes the significance test with 95% confidence, while the annual mean precipitation and annual mean evapotranspiration show no significant change trend; and (3) our Pearson correlation analysis and cross-wavelet change results show that precipitation and temperature are strongly correlated with runoff, with a resonance period of 8–16 months, while the correlation between evapotranspiration and runoff is not significant. We recommend that policymakers establish an effective early warning system and make plans to store water through micro-terrain transformation in possible climate change treatments and strategies.

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Section: Introductionmentioning

confidence: 99%

The Spatial and Temporal Variability of the Blue–Green Spatial Structures of the South Dongting Lake Wetland Areas Amidst Climate Change, including Its Relationship with Meteorological Factors

Luo,

Li,

Cao

et al. 2024

Water

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“…Additionally, the metrics from the spatial accumulation perspective, which evaluate the accumulated continuous influence within the maximum influence extent, include the park cooling intensity (PCI) and the park cooling gradient (PCG). These metrics have been widely applied to enhance the evaluation of the PCIE [41][42][43][44][45][46]. For example, Shi et al investigated the PCIE of green spaces in major cities of the Yangtze River Economic Belt in China [45].…”

Section: Introductionmentioning

confidence: 99%

Analyzing Cooling Island Effect of Urban Parks in Zhengzhou City: A Study on Spatial Maximum and Spatial Accumulation Perspectives

He,

Yang

2024

Sustainability

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As a result of urbanization, cities worldwide are experiencing urban heat island (UHI) challenges. Urban parks, which are essential components of urban blue and green landscapes, typically have lower temperatures in providing outdoor comfort than their surroundings with impervious surfaces. This phenomenon, known as the park cooling island effect (PCIE), has been recognized as an effective approach to mitigate the negative effects of the UHI in the context of sustainable development of urban environment. To cope with the serious UHI challenge and to guide urban park planning and design for Zhengzhou City, which is one of the China’s new first-tier cities, 35 urban parks in the city were analyzed in this study. Remotely sensed land surface temperature (LST) and reflectance images by Landsat 9 and Sentinel-2 were selected as data sources. A cubic polynomial model that depicts the relationship between the LST and the distance from the park edge was first built for each park. Based on this model, the spatial maximum perspective metrics (including the park cooling area (PCA) and park cooling efficiency (PCE)) and the spatial accumulation perspective metrics (including park cooling intensity (PCI) and park cooling gradient (PCG)) were calculated to quantify the PCIE of each park. The 35 parks were divided into three groups using the hierarchical clustering method for further analysis. For each group, the metrics of the PCIE were statistically analyzed, and the main factors influencing the PCIE were identified by the Spearman correlation coefficient. The results indicate the following: (1) The 35 urban parks exhibit an obvious PCIE. The maximum cooling distance is 133.95 ± 41.93 m. The mean LST of the park is 3.01 ± 1.23 °C lower than that within the maximum cooling distance range. (2) The PCIE varies among different types of parks. Parks with large areas and covered by certain water bodies generally exhibit higher PCA, PCI, and PCG values. However, parks with small areas and mainly covered by vegetation show higher PCE values, which makes them more economical in exerting the PCIE. (3) Park area and landscape shape index (LSI) were positively correlated with PCA, PCI, and PCG. However, there is a threshold in the relationship between the park area and the PCI. A park area of approximately 19 ha can produce a higher PCI than a smaller one. In central urban areas with limited space, parks with small areas, complex shapes, and predominant vegetation coverage can be designed to achieve higher cooling efficiency.

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Residential blue space, cognitive function, and the role of air pollution in middle-aged and older adults: A cross-sectional study based on UK biobank

Yang,

Lin,

Wang

et al. 2024

Ecotoxicology and Environmental Safety

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Assessment of urban blue-green space cooling effect linking maximum and accumulative perspectives in the Yangtze River Delta, China

Cited by 9 publications

References 74 publications

The Spatial and Temporal Variability of the Blue–Green Spatial Structures of the South Dongting Lake Wetland Areas Amidst Climate Change, including Its Relationship with Meteorological Factors

The Spatial and Temporal Variability of the Blue–Green Spatial Structures of the South Dongting Lake Wetland Areas Amidst Climate Change, including Its Relationship with Meteorological Factors

Analyzing Cooling Island Effect of Urban Parks in Zhengzhou City: A Study on Spatial Maximum and Spatial Accumulation Perspectives

Residential blue space, cognitive function, and the role of air pollution in middle-aged and older adults: A cross-sectional study based on UK biobank

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