2021
DOI: 10.1016/j.scitotenv.2020.143732
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A rapid fine-scale approach to modelling urban bioclimatic conditions

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Cited by 26 publications
(11 citation statements)
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“…In the field of SDG Urban Localization, a rapid-modeling approach for assessing urban bioclimatic conditions was developed by [164] to carry out fine-scale simulations. Reference [86] employed ENVI-met, a Computational Fluid Dynamic model for assessing environmental quality in a public space.…”
Section: Modelsmentioning
confidence: 99%
See 1 more Smart Citation
“…In the field of SDG Urban Localization, a rapid-modeling approach for assessing urban bioclimatic conditions was developed by [164] to carry out fine-scale simulations. Reference [86] employed ENVI-met, a Computational Fluid Dynamic model for assessing environmental quality in a public space.…”
Section: Modelsmentioning
confidence: 99%
“…The Malmquist Index was used by [119] to measure the evolution of efficiency according to technological changes produced in Spanish cities against SDG 6. The UTCI (Universal Thermal Climate Index) was used by [164] to assess bioclimatic conditions in urban environments, as it was found to be a better representative of local thermal conditions than other indexes, such as Standard Effective Temperature, Humidex, and Physiological Equivalent Temperature. A renovation rate indicator for accurate monitoring in retrofitting the building stock against SDGs 7, 11, and 13 was proposed by [125].…”
Section: Indicatorsmentioning
confidence: 99%
“…peak flow reduction) might not be sufficient in an asset management approach because of the interconnection with existing (piped) urban drainage systems. The performance of the system regarding the other benefits, for example, urban bioclimate (Back et al 2021), can change over time due to interdependencies between them and even have adverse effects on the rest. For example, increased biodiversity in plant life can affect the infiltration capacity and thus the hydraulic performance; or planting a single, fast-growing, short-lived species can capture carbon as an NBS benefit to climate change but has little potential to store that carbon over the long term (Cohen-Shacham et al 2016).…”
Section: Conditions For Effective Controlmentioning
confidence: 99%
“…Surface urban heat islands (SUHIs) tend to vary strongly with changes in time and space and have been extensively studied in North America, Europe and East Asia using ground‐station records and by conducting numerical simulations (Manoli et al., 2019; Sun et al., 2016; Zhao et al., 2014). Applying fine‐resolution mesoscale, regional climate and global circulation models, the effects of urbanization on thermal, hydrological, and physical properties of the land surface have been well assessed on various spatiotemporal scales (Back et al., 2021; Chen & Zhang, 2018; R. Du et al., 2022; Wang & Li, 2021; Zhao et al., 2014). However, from a practical point of view, conducting numerical simulations cannot replace the observed assessment of SUHIs in supporting active policy measures that mitigate the heat‐related health risks in urban areas (Kim & Brown, 2021b).…”
Section: Introductionmentioning
confidence: 99%
“…• Rapid urbanization leads to strong differences in the annual cycle of the land surface temperature (LST) between urban and nonurban areas • A new method based on the similarity of annual cycles of the LST is proposed to quantify regional heat island effects • This method adapts well to complex terrain, land-cover changes and climate variations and has great potential in urban planning ground-station records and by conducting numerical simulations (Manoli et al, 2019;Sun et al, 2016;Zhao et al, 2014). Applying fine-resolution mesoscale, regional climate and global circulation models, the effects of urbanization on thermal, hydrological, and physical properties of the land surface have been well assessed on various spatiotemporal scales (Back et al, 2021;Chen & Zhang, 2018;R. Du et al, 2022;Wang & Li, 2021;Zhao et al, 2014).…”
mentioning
confidence: 99%