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Improper development of land uses in the city leads to climate changes, resulting in an increase in GW and the formation of UHIs. These changes have adverse effects on people's level of comfort. This research is supposed to extract the optimal model by proving the relationship between the physical arrangement of the architecture of high-rise buildings in residential complexes and reducing the adverse effects of this. Therefore, in this research, four models of solitary, environmental, combined, and rowly block arrangement were investigated based on numerical calculation methods and CFD simulation. These simulations were done by ENVI-meto software based on air temperature, relative humidity, wind speed, and thermal comfort in the open space. The results showed that the type of physical arrangement of buildings can increase air temperature for GW by up to 3 °C and UHIs by 0.5 °C. The combined pattern is the most optimal in this section due to its more compact structure than the solitary pattern. Regarding the effect of relative humidity on climate changes, the solitary pattern has the lowest percentage of relative humidity compared to other patterns due to more air circulation in its physical structure. Also, the type of physical arrangement of buildings can improve the wind speed for GW by up to 0.2 m/s and for UHIs by up to 0.7 m/s. Based on this, the most optimal model is the environmental pattern, because the physical structures of the buildings are an obstacle in wind circulation. The fluctuation range of the PMV index for the intensity of GW effects on thermal comfort, is 0.7°, and the fluctuation range of this index for the power of UHIs is about 0.2°. The solitary pattern is the most optimal pattern to reduce the severity of adverse effects of GW and UHIs; this is due to the scattered distribution of blocks in this pattern. In general, according to the research findings, it can be concluded that the most optimal pattern to reduce the severity of the adverse effects of GW is solitary and environmental patterns, and to reduce the severity of the negative impact of UHIs, the solitary pattern is used.

Improper development of land uses in the city leads to climate changes, resulting in an increase in GW and the formation of UHIs. These changes have adverse effects on people’s level of comfort. This research is supposed to extract the optimal model by proving the relationship between the physical arrangement of the architecture of high-rise buildings in residential complexes and reducing the adverse effects of this. Therefore, in this research, four models of solitary, environmental, combined, and rowly block arrangement were investigated based on numerical calculation methods and CFD simulation. These simulations were done by ENVI-meto software based on air temperature, relative humidity, wind speed, and thermal comfort in the open space. The results showed that the type of physical arrangement of buildings can increase air temperature for GW by up to 3 °C and UHIs by 0.5 °C. The combined pattern is the most optimal in this section due to its more compact structure than the solitary pattern. Regarding the effect of relative humidity on climate changes, the solitary pattern has the lowest percentage of relative humidity compared to other patterns due to more air circulation in its physical structure. Also, the type of physical arrangement of buildings can improve the wind speed for GW by up to 0.2 m/s and for UHIs by up to 0.7 m/s. Based on this, the most optimal model is the environmental pattern, because the physical structures of the buildings are an obstacle in wind circulation. The fluctuation range of the PMV index for the intensity of GW effects on thermal comfort, is 0.7°, and the fluctuation range of this index for the power of UHIs is about 0.2°. The solitary pattern is the most optimal pattern to reduce the severity of adverse effects of GW and UHIs; this is due to the scattered distribution of blocks in this pattern. In general, according to the research findings, it can be concluded that the most optimal pattern to reduce the severity of the adverse effects of GW is solitary and environmental patterns, and to reduce the severity of the negative impact of UHIs, the solitary pattern is used. [ABSTRACT FROM AUTHOR]

Examining the spatial variation of surface temperature is an important criterion to create livable urban environment. To examine the cause of heat island variation in the study area located within the rift zones, an algorithm that was prepared for Landsat 8 band 10 were used by taking the Normalized Difference Vegetation Index threshold method for the estimation of ground emissivity by integrating with the result obtained from MODIS night time data. The LU/LC (land use land cover) maps of the area were prepared with better accuracy using on screen classification technique. The derived LST showed that the surface temperature of the city ranges from 20.6 to 41.30 °C and the minimum temperature of the area was observed within the lake and the surrounding areas such as wetland. The maximum temperature was registered on the scattered hills and excavation areas and some parts of bare lands including industrial park of the city. The spatial variation of LST (Land Surface Temperature) in the city is the result of three major factors namely: (1) volcanic products of the geological setting, (2) the nature of the rock (high reflectance) and (3) the LU/LC type. Increasing of evergreen tree cover and rehabilitation of existing mining areas are among the recommended strategy to mitigate the UHI (urban heat island) effects in the city. For future studies in areas that are susceptible to natural heat sources, the satellite data should have high spatial resolution and derived from multiple sensors and satellites that can provide better tools to understand the UHI effect considering the geological setting of the area. [ABSTRACT FROM AUTHOR]

The urbanisation is a process of change in land use by construction activities. Therefore, during construction, uses of low albedo materials give rise in heat absorption capacity that becomes the primary cause of alteration of local climate. Additionally, alteration of land use, viz. conversion of vegetation/forested land into urban built-up land and establishment of heavy industrial units contributes pertinently in local heat budget which leads to the formation of urban heat islands (UHIs). Therefore, the adverse impact of UHIs affected not only ecology and local climate but also socioeconomic setups. In the present work, spatial distribution of UHIs and their causal relationship with land use over NOIDA (New Okhla Industrial Development Authority) city has reported. The data pertaining to study was collected from Landsat-8 OLI–TIRS (operational land imager and thermal infrared sensor) sensor. The results show that two clusters were developed in north and mid-east part of the city due to concentration of high-density building and industrial units. It is recommended that development authority should take environmental concern into consideration before planning industrial land use. [ABSTRACT FROM AUTHOR]

The sub-grid model, sub-grid town energy budget (STEB), is developed in order to reproduce the surface energy budget over large urban areas. The STEB evaluates the energy budget of each building belonging to a built area by employing an accurate description of the canyon geometry. The STEB is coupled with the limited area model RAMS to simulate the urban heat island over the city of Rome, Italy. The model is initialised with a suitable urban digital elevation model, accounting for nearly 360,000 buildings. The results show that the coupled system RAMS-STEB reproduces adequately the behaviour of the main meteorological quantities. [ABSTRACT FROM AUTHOR]