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. 2019 Apr 8;5(4):e01339. doi: 10.1016/j.heliyon.2019.e01339

Table 1.

Summary of studies investigating the cooling effect of a group of UGSs.

Ref Location (Köppen and Geiger Climatic classification, Kottek et al., 2006) Month Green site & comparator Features of green site Size Purpose Methods/Instruments Conclusion
Cao et al. (2010) Nagoya, Japan (Cfa) May 25, July 10, October 30 92 parks compared with the surrounding area Trees, grass, shrubs, soil, water, low albedo surfaces, high albedo surfaces 0.1ha to 41.9 ha Identifying the role of park parameters (e.g., park size, land-use types, and shapes) in the PCI phenomenon
  • Remotely sensed ASTER LST data and IKONOS image

  • Multivariate Regression

Cooling effects rely on the park characteristics and seasonal radiation conditions. Also, trees, shrubs and compactness of park benefit the PCI in spring and summer.
Du et al. (2017) Shanghai, China (Cfa) February 68 green spaces Including trees and shrubs, lawn, different buildings and water body 1.12 ha to 205.32 ha Indicating the role of UGS for implementing cooling effect and distinguishing efficient relevant elements in CEI and CED
  • LST image

  • ArcGIS version 10.1

  • MATLAB 2014

  • Pearson correlation

GCI impacts are contingent upon green space itself and its surrounding features. Furthermore, raising vegetation and water body fractions or reducing impervious surfaces helps to improve GCI impacts.
Lin et al. (2015) Beijing, China (Dwa) September 22 30 parks compared to city center Trees and shrubs 18.42 km2 in total Developing an alternative method for calculating the cooling extent of green parks by using remote sensing
  • Remote sensing, LST map

  • Dry and wet bulb thermometers (24st)

The area around a park that benefits from the cooling effect increases with park size.
Yu et al. (2017) Fuzhou, China (Cfa) From January to July 435 green patches (connected, and disconnected with water bodies) 329 patches: tree-based (280) and grassland-based (49) 0.02 ha to 296.7 ha Quantifying which form of greenspace has the greatest cooling effect: simple or complex shape, large or small areas
  • LST map, ArcGIS

  • hierarchical cluster analysis (CLU)

Compact greenspaces in the shape of a circle or square provide significant cooling effects in terms of intensity and efficiency
Feyisa et al. (2014) Addis Ababa, Ethiopia (Cwb) October 4–18 21 green areas: public parks, green spaces around building and private parks. Green areas with dense tree vegetation (canopy cover of at least 60%) 0.85–22.3 ha Identifying the physical characteristics of USG which determine cooling efficiency and examining its extent of extension
  • NDVI index

  • ArcGIS version 10.0

Regression model
Appropriate choice of species, geometry and size of parks may improve efficiency of urban cooling
Anjos and Lopes (2017) Aracaju, Brazil (As) July 19 to October 10 UGS around 7 urban climate stations in different parts of the city Vegetated area: from 2.2% to 53%
Water bodies:
From 0 to 50%
Not mentioned Assessing the UHI and PCI effects based on an urban climatological network
  • Climatic sensor

  • Local Climate Zone map

Most UHI and PCI intensities do not develop only in the light winds and clear sky But these factor have remarkable impact
Brown et al. (2015) Kuala Lumpur, Malaysia (Af); Lahore, Pakistan (Bsh); Alice Springs, Australia (Bwh); Kyoto, Japan (Cfa); Toronto, Canada (Dfb) 10 years data Five different zones were compared Five sites in five different climate zones Various sizes Recognizing the effect of microclimate modifications on thermal comfort caused by elements in the landscape
  • Simulated by human thermal comfort model COMFA

Decreasing air temperatures through a ‘cool island park’ is a moderately effective strategy
Chang and Li (2014) Taipei, Taiwan (Cfa) August to September and December to February 60 urban parks were surveyed and compared with the surrounding area Trees, shrubs and pavement Various sizes Exploring details related to the planning and design of city parks such that they may effectively cool surrounding urban areas
  • Thermal sensor

  • Stationary regression method

Parks and other open spaces should be designed with less than 50% paved area and at least 30% trees, shrubs, and other shadings.
Chen et al. (2014) Beijing, China (Dwa) May 22, July 9, October 13 and November 14 Measured 6 types of UGS: wood-land, shrub land, grassland, cropland, rivers, lakes UGS covering 35% of the overall study area Total size: 6450 ha Focusing on the effects of spatial patterns of urban green patches on their own surface cooling effect
  • LST map & QuickBird (QB) image

  • Regression analyses

In addition to patch size, the other elements such as shape, edge or connectivity have cooling effects
Sun and Chen (2017) Beijing, China (Dwa) July 5 and July 29 Five types of UGS:
Impervious land (IL), forest land (FL), grass land (GL), water body (WB), and bare land (BL).
Ringroad 5 of the city Total size: 108.86 km2 Investigating the dominant combinations of landscape conversions (2012), and quantifying the change of mean LST
  • ENVI software QuickBird (2002) and IKONOS (2012)

  • TM images

Greater focus on protecting natural forests in cities might provide greater benefits for climate mitigation.
Buyadi et al. (Dec 2013) Shah-Alam, Malaysia (Af) February 21 and January 21 Study site situated in center of the city with various kind of land use and green spaces Water bodies, high dense trees, mixed vegetation Total size: 8530 ha Surveying the influence of development on UGS and UHI
  • LST map

  • NDVI assessment

Decreasing the vegetation land cover in open spaces has a direct correlation to increasing UHI
Li et al. (2013a,b) Beijing, China (Dwa) September 8 and October 4 Seven landscape
Metrics, based on easily calculated, interpretable, and little redundancy
Not mentioned 0.52 ha to 0.89 ha Examining the effects of spatial resolution on the relationship between LST and the spatial pattern of greenspace
  • ENVI 4.6 QuickBird, SPOT, and TM imagery

  • Pearson and partial Pearson correlation

The relationship between LST and the abundance of greenspace was negative, but with the spatial configuration of UGS varied by spatial resolution
Kong et al. (2014) Nanjing, China (Cfa) June 13 Part of the city includes the urbanized area of Nanjing and part of its suburbs Impervious surface, water body, agricultural land, forest vegetation, and barren land Total size: 9200 ha Investigating the sensitivity of the cooling effect associated with greenspace to changes in scale;
  • Correlation analyses

  • IKONOS image

CEI and characteristics formed by greenspace patterns, and increasing vegetation provide cooling effect
Zhang et al. (2014) Beijing, China (Dwa) June to August 6387 green space Trees, shrubs, grass, tree-shrubs, shrub-grass Total size: 22,556 ha Measuring the ecological benefits of the cooling effect associated with the use of green spaces
  • Empirical model (11 weather stations)

The cooling effect and the environmental benefits of UGS largely depend on the green space's structure and size
Mariani et al. (2016) Milan, Italy (Cfb) 33 years data (1981–2014) Five metropolitan sites Different sites in various zones (rural, urban parks, sites located in canyons of the urban plateau, and urban peaks) Not mentioned Describing the behavior of the surface energy balance (SEB) and establishing a frequency distribution climatology of the sensible fraction (SF) index
  • Weather stations and remotely sensed data

  • SEB model

The cooling effect of urban parks can be improved through ameliorating and optimizing single park structure components