This study used homogenised mean, maximum, and minimum daily temperatures from 12 stations located in Brno, Czechia, during the 2011–2020 period to analyse heat waves (HW) their impact on canopy urban island (UHI). HWs were recognized as at least three consecutive days with Tx ≥ 30 °C urban–rural intra-urban differences measures analysed. To express contribution UHI, we calculated UHI intensiti...

Extreme heat wave weather phenomena have erupted worldwide in recent years. The urban island (UHI) effect has exacerbated waves with serious consequences for energy and residents’ health. Therefore, a better understanding of the dynamics UHI influencing factors is needed context carbon neutrality global warming. This study used long-term observation statistical data to investigate intensity (UH...

Urban heat island (UHI) draws more attention as it affects not only the health of residents but also energy consumption buildings at city scale. To achieve carbon neutrality goals, is crucial to better understand mechanism UHI influences on building consumption. The characteristics urban intensity (UHII) and relationship between UHII effect electricity related coal were analyzed, based long per...

Long-term urban heat island (UHI) observations are uncommon and where available, generally unable to distinguish changing climate drivers from expansion; neither driver is treated independently. We overcome this limitation using a generalized additive model learn the variability in UHI intensity (UHII) at central London weather station (St James's Park) over 10-year observation period (2010–201...

Large-scale modifications to urban underlying surfaces owing rapid urbanization have led stronger heat island (UHI) effects and more frequent wave (HW) events. Based on observations of automatic weather stations in Beijing during the summers 2014–2020, we studied interaction between HW events UHI effect. Results showed that intensity (UHII) was significantly aggravated (by 0.55°C) periods compa...

Abstract The land surface temperature (LST) increases both spatially and in magnitude as a result of rapid urbanization at the expense low radiative surface. This process modifies urban climate which is attributable to phenomenon recognized Urban Heat Island (UHI). By estimating LST, satellite remote sensing offers cost-effective time-saving methodology for spatio-temporal analyses UHI. limitat...

This work aims to compare the performance of single‑(SLUCM) and multilayer (BEP-Building effect parameterization) urban canopy models (UCMs) coupled with Weather Research Forecasting model (WRF), along application two heat island (UHI) identification methods. The methods are: (1) “classic method”, based on temperature difference between rural areas; (2) “local method” at each location when land...

Rapid urbanization has led to drastic land-use/cover changes (LUCCs) and urban heat islands (UHIs), negatively altering the climate air quality. LUCC’s significant impacts on human health energy consumption have inspired researchers develop nature-based solutions mitigate UHIs improve However, integrating GIS-CFD modeling for mitigation towards change adaptation was largely neglected eco-sustai...

Reducing electricity consumption has emerged as a key area of concern according to the National Mission Sustainable Habitat Government India. Among Indian cities, Delhi's is highest. This paper aims evaluate impact UHI on Delhi. The study utilizes satellite land surface temperature (LST) data compute district-wise urban heat island intensity (UHII) in and LST are used examine association betwee...