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Добірка наукової літератури з теми "Urban Heat Islands (UHI)"

Автор: Grafiati

Опубліковано: 17 травня 2025

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Статті в журналах з теми "Urban Heat Islands (UHI)"

Wang, Fan, Gregory R. Carmichael, Jing Wang, Bin Chen, Bo Huang, Yuguo Li, Yuanjian Yang, and Meng Gao. "Circulation-regulated impacts of aerosol pollution on urban heat island in Beijing." Atmospheric Chemistry and Physics 22, no. 20 (October 18, 2022): 13341–53. http://dx.doi.org/10.5194/acp-22-13341-2022.

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Abstract. Unprecedented urbanization in China has led to serious urban heat island (UHI) issues, exerting intense heat stress on urban residents. Based on the observed temperature and PM2.5 concentrations in Beijing over 2016–2020, we find diverse influences of aerosol pollution on urban heat island intensity (UHII) under different circulations. When northerly winds are prevalent in urban Beijing, UHII tends to be much higher in both daytime and nighttime and it is less affected by aerosol concentrations. However, when southerly and westerly winds are dominant in rural Beijing, UHII is significantly reduced by aerosol pollution. Using coupled aerosol-radiation weather simulations, we demonstrate the underlying physical mechanism which is associated with local circulation and resulting spatial distribution of aerosols. Our results also highlight the role of black carbon in aggravating UHI, especially during nighttime. It could thus be targeted for cooperative management of heat islands and aerosol pollution.

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Song, Xingtao, Haoyuan Shi, Langchang Jin, Sijing Pang, and Shenglan Zeng. "The Impact of the Urban Heat Island Effect on Ground-Level Ozone Pollution in the Sichuan Basin, China." Atmosphere 16, no. 1 (December 26, 2024): 14. https://doi.org/10.3390/atmos16010014.

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With urbanization, ozone (O3) pollution and the urban heat island (UHI) effect have become increasingly prominent. UHI can affect O3 production and its dilution and dispersion, but the underlying mechanisms remain unclear. This study investigates the spatial and temporal distribution of O3 pollution and the UHI effect, as well as the influence of UHI on O3 pollution in the Sichuan Basin. Atmospheric pollution data for O3 and NO2 from 2020 were obtained from local environmental monitoring stations, while temperature and single-layer wind field data were sourced from ERA5-Land, a high-resolution atmospheric reanalysis dataset provided by the European Centre for Medium-Range Weather Forecasts (ECMWF). The results indicate the following: (1) O3 concentrations in the Sichuan Basin exhibit distinct seasonal variations, with the highest levels in spring, followed by summer and autumn, and the lowest in winter. In terms of spatial variation, the overall distribution is highest in western Sichuan, second highest along the Sichuan River, and lowest in central Sichuan. (2) There are significant regional differences in UHII across Sichuan, with medium heat islands (78.63%) dominating western Sichuan, weak heat islands (82.74%) along the Sichuan River, and no heat island (34.79%) or weak heat islands (63.56%) in central Sichuan. Spatially, UHII is mainly distributed in a circular pattern. (3) Typical cities in the Sichuan Basin (Chengdu, Chongqing, Nanchong) show a positive correlation between UHII and O3 concentration (0.071–0.499), though with an observed temporal lag. This study demonstrates that UHI can influence O3 concentrations in two ways: first, by altering local heat balance, thereby promoting O3 production, and second, by generating local winds that contribute to the diffusion or accumulation of O3, forming distinct O3 concentration zones.

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Armah, Recheal N. D., Zhu H. Ning, Yaw A. Twumasi, Jeff Dacosta Osei, Blessing Masasi, Matilda Anokye, and Priscilla M. Loh. "Mapping the Spatial Distribution of Urban Heat Island in Scotlandville in the Louisiana State of USA using Satellite Remote Sensing." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-M-5-2024 (March 12, 2025): 9–14. https://doi.org/10.5194/isprs-archives-xlviii-m-5-2024-9-2025.

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Abstract. Urban Heat Island (UHI) is a phenomenon where urban areas experience higher temperatures than their surrounding rural areas due to human activities and the presence of heat-absorbing materials such as concrete and asphalt. This study aims to map the spatial distribution of UHI in Scotlandville, a neighbourhood in Baton Rouge, Louisiana, using satellite remote sensing approach. Landsat 9 imagery was used to compute the Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) to extract the urban heat islands and greenspaces within the study area. The results revealed the spatial distribution of UHI across Scotlandville, where 1635 ha of the total area were urban heat islands, representing 64% of the total study area. These findings provide substantial information for urban planning and development policies aimed at mitigating the impact of UHI on local climate and public health. Moreover, this study informs the health and vitality status of the greenspaces and calls for action to plant more trees and properly care for existing ones, as the current state of these greenspaces is insufficient to improve urban resilience and liveability in Scotlandville.

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Zhu, Rui, Eric Guilbert, and Man Sing Wong. "TRACKING THE SPATIAL EVOLUTION OF URBAN HEAT ISLANDS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-2 (June 2, 2016): 3–8. http://dx.doi.org/10.5194/isprsannals-iii-2-3-2016.

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The urban heat island (UHI) phenomenon occurring in the urban areas or city-clusters is increasingly becoming a severe problem in the urbanization process. Previous research mainly rely on grid analysis techniques to study temperature data from images recorded at fixed time instants. The evolutionary process of UHI in both time and space has not been investigated yet. This research designs an object-oriented spatiotemporal model to reconstruct the evolution of UHI and provide a qualitative interpretation. Each UHI is modeled as a spatiotemporal field object with it own life cycle. Dynamic behavior of an UHI is defined by sequences of spatial changes (e.g. contraction or expansion) and topological transformations (e.g. merge or split). The model is implemented in an object-relational database and applied to air temperature data collected from weather stations every hour over three days. UHIs with their behavior were extracted from the data. Results suggest that the model can effectively track and provide a qualitative description of the UHI evolution.

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Fadhil, Mohammed, Mustafa N. Hamoodi, and Abdul Razzak T. Ziboon. "Mitigating urban heat island effects in urban environments: strategies and tools." IOP Conference Series: Earth and Environmental Science 1129, no. 1 (January 1, 2023): 012025. http://dx.doi.org/10.1088/1755-1315/1129/1/012025.

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Abstract In the twenty-first century, urban heat islands (UHIs) have become a major problem for humanity as a consequence of urbanization and industrialization. The main causes of UHI are the vast amounts of heat generated by urban structures as they consume and re-radiate solar energy and anthropogenic heat sources. The two heat sources cause an urban area’s temperature to rise above its surroundings, a phenomenon known as Urban Heat Island (UHI). Many approaches, methods, models, and investigative tools have been implemented to study and analysis this phenomenon. In general, green areas in cities are thought to be an effective approach to mitigate urban heat island effects and bring comfort to residents. The improvement of microclimatic conditions in urban environments is mostly influenced by evapotranspiration. Most of the studies show a rising trend in the UHI, which is linked to decreased plant cover and land-use changes. The main objectives of this paper were to explain the concept, formation factors, and influential factors of UHI. In addition, the most common strategies and tools that are applied in mitigating rising temperatures in urban areas were reviewed and summarized. The finding of several studies showed that increasing urban vegetation areas in addition to optimizing their spatial distribution and configuration is an effective strategy to reduce the impact of UHI.

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Silva, Rui, Ana Cristina Carvalho, David Carvalho, and Alfredo Rocha. "Study of Urban Heat Islands Using Different Urban Canopy Models and Identification Methods." Atmosphere 12, no. 4 (April 20, 2021): 521. http://dx.doi.org/10.3390/atmos12040521.

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This work aims to compare the performance of the single‑(SLUCM) and multilayer (BEP-Building effect parameterization) urban canopy models (UCMs) coupled with the Weather Research and Forecasting model (WRF), along with the application of two urban heat island (UHI) identification methods. The identification methods are: (1) the “classic method”, based on the temperature difference between urban and rural areas; (2) the “local method” based on the temperature difference at each urban location when the model land use is considered urban, and when it is replaced by the dominant rural land use category of the urban surroundings. The study is performed as a case study for the city of Lisbon, Portugal, during the record-breaking August 2003 heatwave event. Two main differences were found in the UHI intensity (UHII) and spatial distribution between the identification methods: a reduction by half in the UHII during nighttime when using the local method; and a dipole signal in the daytime and nighttime UHI spatial pattern when using the classic method, associated with the sheltering effect provided by the high topography in the northern part of the city, that reduces the advective cooling in the lower areas under prevalent northern wind conditions. These results highlight the importance of using the local method in UHI modeling studies to fully isolate urban canopy and regional geographic contributions to the UHII and distribution. Considerable improvements were obtained in the near‑surface temperature representation by coupling WRF with the UCMs but better with SLUCM. The nighttime UHII over the most densely urbanized areas is lower in BEP, which can be linked to its larger nocturnal turbulent kinetic energy (TKE) near the surface and negative sensible heat (SH) fluxes. The latter may be associated with the lower surface skin temperature found in BEP, possibly owing to larger turbulent SH fluxes near the surface. Due to its higher urban TKE, BEP significantly overestimates the planetary boundary layer height compared with SLUCM and observations from soundings. The comparison with a previous study for the city of Lisbon shows that BEP model simulation results heavily rely on the number and distribution of vertical levels within the urban canopy.

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Técher, Magalie, Hassan Ait Haddou, and Rahim Aguejdad. "Characterization of the urban microclimate by the modelling of urban planning policies in France." Journal of Physics: Conference Series 2042, no. 1 (November 1, 2021): 012065. http://dx.doi.org/10.1088/1742-6596/2042/1/012065.

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Abstract With the increase of Urban Heat Islands (UHI) and the effects of global warming, cities will face challenges in anticipating these phenomena. However, the complexity of urban development within the framework of urban planning policies, makes difficult for urban decision-makers to anticipate the Urban Heat Islands within their territory. In this paper, we propose a methodology to assess the impact of urban planning policies on Urban Heat Island. Thanks to a coupling of 2D urban growth model, 3D constructability model and urban microclimate simulation, this tool will make it possible to visualize the impact of urban planning decisions on urban form and on Urban Heat Island.

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Jabbar, Hajer Khaled, Mustafa N. Hamoodi, and Amjed N. Al-Hameedawi. "Urban heat islands: a review of contributing factors, effects and data." IOP Conference Series: Earth and Environmental Science 1129, no. 1 (January 1, 2023): 012038. http://dx.doi.org/10.1088/1755-1315/1129/1/012038.

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Abstract Urban Heat Island (UHI) is one of the most serious difficulties that humans have faced in the twenty-first century resulted due to urbanization and industrialization. The main causes of UHI are the vast amounts of heat produced by urban structures, which solar energy should be used and re-radiated as well as anthropogenic heat sources. The two heat sources cause an urban area’s temperature to rise in comparison to its surrounding areas, which refers to a phenomenon of the urban heat islands. Large cities and diverse economic activities face even more serious difficulties. This paper defined the concept and types of UHIs. This paper explained a comprehensive review of the phenomenon of UHI from its first appearance with regard to causing factors, its influences on people’s lives and the urban environments, and widely used data for measuring and evaluating the intensity of UHIs. The finding of most studies mentioned that UHI values are different from city to city based on land-use changes. It is revealed that an increasing trend occurred mainly because expand in built-up areas and a reduction in green cover. Also, a number of studies showed that the UHI intensity was low during summer afternoons and high during winter nights in many places around the world.

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Esau, Igor, Victoria Miles, Andrey Soromotin, Oleg Sizov, Mikhail Varentsov, and Pavel Konstantinov. "Urban heat islands in the Arctic cities: an updated compilation of in situ and remote-sensing estimations." Advances in Science and Research 18 (May 3, 2021): 51–57. http://dx.doi.org/10.5194/asr-18-51-2021.

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Abstract. Persistent warm urban temperature anomalies – urban heat islands (UHIs) – significantly enhance already amplified climate warming in the Arctic. Vulnerability of urban infrastructure in the Arctic cities urges a region-wide study of the UHI intensity and its attribution to UHI drivers. This study presents an overview of the surface and atmospheric UHIs in all circum-Arctic settlements (118 in total) with the population larger than 3000 inhabitants. The surface UHI (SUHI) is obtained from the land surface temperature (LST) data products of the Moderate Resolution Imaging Spectroradiometer (MODIS) archive over 2000–2016. The atmospheric UHI is obtained from screen-level temperature provided by the Urban Heat Island Arctic Research Campaign (UHIARC) observational network over 2015–2018. Several other UHI studies are included for comparisons. The analysis reveals strong and persistent UHI during both summer and winter seasons. The annual mean surface UHI magnitudes vary from −0.6 ∘C (Hammerfest) to 4.3 ∘C (Murmansk). Thus, the observed UHI is likely an important climatic factor that must be included in future adjustment of urban construction, safety, and environmental quality codes.

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Дисертації з теми "Urban Heat Islands (UHI)"

Siu, Leong-wai, and 蕭亮煒. "Quantifying the urban heat island (UHI) intensity in Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B45692567.

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Sullivan, JoAnn. "Characterization of an Urban Heat Island (UHI) in the Tampa Region of Florida." Scholar Commons, 2010. https://scholarcommons.usf.edu/etd/1784.

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Numerous research studies have been conducted on the modification of weather and local climate by the urban environment. In studying the urban environment effects, researchers have investigated the urban heat island (UHI), anthropogenic cloud condensation nuclei, anthropogenic heat emissions and other factors. Many of these studies used data sampling networks, while other studies relied solely on computer modeling. This research has taken an approach between the sampling network studies (which were often limited in spatial density) and the pure computer model studies (which lacked the benefits of observational data) to investigate the Tampa Bay Region UHI. The research utilized inexpensive commercially available temperature logging sensors within a 525 km² study area. One hundred temperature logging sensors, deployed within the study area, generated in excess of 250,000 time and temperature data points for analysis. The large number of temperature sensors enabled the generation of detailed spatiotemporal maps of the Tampa Bay Region UHI. Analysis of the data revealed a significant relationship between the percentage of impervious surface in the study area and the intensity of the local UHI delta temperatures. In addition, the analysis identified the existence of micro UHIs within residential areas. These micro UHIs affected readings within the residential areas. In conjunction with the investigation of the relationship between the percentage of impervious surface and the generation of a UHI, wind speed's role as a moderating factor was also investigated. It was found that increases in wind speed are correlated with a lessoning of the observed UHI. Wind speeds above approximately 2 ms-1 exhibit a significant negative relationship to the development of a UHI. The results of this study add to the field of UHI research in subtropical environments.

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Kim, Jun-Pill. "LAND-USE PLANNING AND THE URBAN HEAT ISLAND EFFECT." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1253215365.

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Matricardi, David. "The role of paved surfaces in the Urban Heat Island phenomenon: Assessment of fundamental thermal parameters and finite element analysis for UHI mitigation." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8113/.

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Nowadays the environmental issues and the climatic change play fundamental roles in the design of urban spaces. Our cities are growing in size, many times only following immediate needs without a long-term vision. Consequently, the sustainable development has become not only an ethical but also a strategic need: we can no longer afford an uncontrolled urban expansion. One serious effect of the territory industrialisation process is the increase of urban air and surfaces temperatures compared to the outlying rural surroundings. This difference in temperature is what constitutes an urban heat island (UHI). The purpose of this study is to provide a clarification on the role of urban surfacing materials in the thermal dynamics of an urban space, resulting in useful indications and advices in mitigating UHI. With this aim, 4 coloured concrete bricks were tested, measuring their emissivity and building up their heat release curves using infrared thermography. Two emissivity evaluation procedures were carried out and subsequently put in comparison. Samples performances were assessed, and the influence of the colour on the thermal behaviour was investigated. In addition, some external pavements were analysed. Albedo and emissivity parameters were evaluated in order to understand their thermal behaviour in different conditions. Surfaces temperatures were recorded in a one-day measurements campaign. ENVI-met software was used to simulate how the tested materials would behave in two typical urban scenarios: a urban canyon and a urban heat basin. Improvements they can carry to the urban microclimate were investigated. Emissivities obtained for the bricks ranged between 0.92 and 0.97, suggesting a limited influence of the colour on this parameter. Nonetheless, white concrete brick showed the best thermal performance, whilst the black one the worst; red and yellow ones performed pretty identical intermediate trends. De facto, colours affected the overall thermal behaviour. Emissivity parameter was measured in the outdoor work, getting (as expected) high values for the asphalts. Albedo measurements, conducted with a sunshine pyranometer, proved the improving effect given by the yellow paint in terms of solar reflection, and the bad influence of haze on the measurement accuracy. ENVI-met simulations gave a demonstration on the effectiveness in thermal improving of some tested materials. In particular, results showed good performances for white bricks and granite in the heat basin scenario, and painted concrete and macadam in the urban canyon scenario. These materials can be considered valuable solutions in UHI mitigation.

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Rahman, Mohammad. "Effects of species and rooting conditions on the growth and cooling performance of urban trees." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/effects-of-species-and-rooting-conditions-on-the-growth-and-cooling-performance-of-urban-trees(1211fb4b-2eb9-4ddc-99e1-c1ee37fccc03).html.

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The urban heat island (UHI) is a problem that is likely to be exacerbated by ongoing climate change, but it is often claimed that urban trees can mitigate it and hence adapt our cities to climate change. Many researchers have attempted to quantify the cooling effects of trees using modelling approaches. However, the major disadvantage of most of the models is that they consider all vegetation to act as a single saturated layer and that their effect is merely proportional to its surface cover. Therefore, they fail to take into account potential differences between tree species and the effect of different environmental and growing conditions. To address this issue four different studies were conducted in Manchester, UK from February, 2010 to December, 2012. The studies compared the growth and cooling abilities of several commonly planted urban tree species, and investigated a single species planted in a range of growing conditions: investigating the effect of urban soil compaction and aeration and also the effect of urbanization and simulated climate change in the rooting zone. Overall, our studies showed that species selection and growing conditions can substantially alter the evapotranspirational cooling provided by urban trees. Fast growing species such as Pyrus calleryana, with their dense and wide canopy can provide cooling up to 2.2 kW tree-1, 3-4 times that of Sorbus arnoldiana, which have a thinner and narrower canopy and a moderate growth rate. P. calleryana was also investigated under three contrasting growth conditions: in cut-out pits in pavements; in grass verges; and in pits filled with Amsterdam soil. Trees in the less compacted Amsterdam soil had grown almost twice as fast as those in pavements and also had better leaf physiological performance. Together with a longer growing season, and better uptake of soil nutrients and moisture, trees grown in Amsterdam soil provided evapotranspirational cooling of up to 7kW, 5 times higher than those grown in pavements. Another experiment in which P. calleryana trees were planted in 3 standard planting techniques with non-compacted load bearing soils and with or without permeable slabs showed that optimum cooling is not only dependent on preventing soil compaction but also on ensuring that the covering materials are permeable to oxygen. Trees in the open pits provided up-to 1 kW of cooling, compared to around 350 and 650 W by the small and large covered pits respectively. Our final experiment showed that urbanization can increase tree growth by 20-30%; however, despite being under more water stressed conditions trees grown in simulated climate change plots had 40% higher sap flux density, and hence cooling potential. The study suggested that at least with P. calleryana, transpirational cooling benefit might be enhanced in places like Manchester with increased soil temperature in future, but potentially at the expense of photosynthesis and carbon gain. Together these studies show that evaporative cooling of trees depends strongly on both species and growing conditions. If incorporated into regional and local energy exchange models our results can help us to quantify the magnitude and effectiveness of greenspaces in the city in adapting them to climate change.

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Mitchell, Bruce Coffyn. "A Landscape of Thermal Inequity: Social Vulnerability to Urban Heat in U.S. Cities." Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/6906.

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A combination of the urban heat island effect and a rising temperature baseline resulting from global climate change inequitably impacts socially vulnerable populations residing in urban areas. This dissertation examines distributional inequity of exposure to urban heat by socially disadvantaged groups and minorities in the context of climate justice. Using Cutter’s hazards-of-place model, variables indicative of social vulnerability and biophysical vulnerability are statistically tested for their associations. Biophysical vulnerability is conceptualized utilizing a urban heat risk index calculated from summer 2010 LANDSAT imagery to measure land surface temperature , structural density through the normalized difference built-up index, and vegetation abundance through the normalized difference vegetation index. A cross-section of twenty geographically distributed metropolitan statistical areas (MSAs) in the U.S. are examined using census derived variables at the tract level. The results of bivariate correlation analysis, ordinary least squares regression, and spatial autoregression analysis indicate consistent and significant associations between greater social disadvantage and higher urban heat levels. Multilevel modeling is used to examine the relationship of MSA-level segregation with tract-level minority status and social disadvantage to higher levels of urban heat. Segregation has a significant but varied relationship with the variables, indicating that there are inconsistent associations with urban heat due to differing urban ecologies. Urban heat and social vulnerability present a varying landscape of thermal inequity in different urban areas, associated in many cases with residential segregation.

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Ridha, Suaad. "Urban heat Island mitigation strategies in an arid climate. In outdoor thermal comfort reacheable." Thesis, Toulouse, INSA, 2017. http://www.theses.fr/2017ISAT0006/document.

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De nombreuses études au cours des dernières décennies ont porté sur l'effet l’îlot de chaleur urbain (ICU). Les efforts initiaux visant à comprendre les facteurs qui influent sur l’ICU ont contribué à la mise en place de solutions et de stratégies d'atténuation adaptées. Les stratégies d'atténuation comprennent généralement l'augmentation de l'albédo urbain (réflectivité au rayonnement solaire) et l'évapotranspiration. Les augmentations d'albedo sont obtenues grâce à des technologies de toiture et de pavage ayant un albédo élevé. Une augmentation de l'évapotranspiration est obtenue par une combinaison de la diminution de la fraction de surfaces imperméables et la plantation de végétation dans les zones urbaines. Le confort thermique extérieur est défini à partir d’indices prenant en compte différents paramètres physiques et traduit la perception et la satisfaction des piétons. Ce confort est très difficile à obtenir en climat chaud et aride. Par conséquent, le travail présenté dans ce document met l'accent sur les méthodes appropriées pour réduire l’ICU et ainsi améliorer le confort thermique en plein air des piétons. Jusqu’à présent, peu de recherches ont été menées sur le confort thermique extérieur dans un climat chaud et aride. Les études sur l'atténuation de l'ICU et le confort thermique extérieur sont pratiquement inexistantes pour la ville de Bagdad. Bagdad a un tissu urbain complexe avec des constructions modernes, des maisons traditionnelles et des éléments caractéristiques du patrimoine local. Le climat en été est chaud, et les mois d'été sont considérés comme la plus longue saison avec près de 7 mois de l'année. Dans un premier temps, cette étude se concentre sur l'étude des stratégies d'atténuation à envisager afin d’évaluer comment le confort des piétons est affecté par les choix de conception des constructions, en comparant un quartier traditionnel à un quartier moderne. L’étude envisage ensuite la façon dont la végétation et les ombrages contribuent à réduire l'effet de l'ICU et à améliorer le confort thermique extérieur. Quatre scénarios différents sont élaborés pour évaluer le rôle d’éléments végétaux tels que les arbres, l'herbe et les différents modèles d'ombrage. L'évaluation a été effectuée le jour le plus chaud de l'été, la température radiante moyenne, l'humidité spécifique, la température de l'air et les distributions de la vitesse du vent ont été analysées à l'aide du logiciel ENVI-met. Le confort thermique est ensuite évalué à l'aide des indices thermiques de la température équivalente physiologique PET et du PMV étendu aux ambiances extérieures. En outre, une proposition de solution est abordée afin d’étudier son impact sur le confort thermique pour la journée la plus chaude (situation extrême) et une journée typique d’été. Les résultats ont révélé une amélioration du confort thermique dans la journée typique d’été. L'étude montre comment les facteurs urbains tels que le rapport d'aspect, la couverture végétale, les ombres et la géométrie du quartier sont des éléments cruciaux que les urbanistes et les municipalités doivent prendre en compte, en particulier pour les nouveaux aménagements urbains dans un climat chaud et aride. Une proposition d’aménagement global pour atténuer les ICU dans le cas d’un nouveau quartier sous climat aride, est détaillée en fin de mémoire
Numerous studies over the past several decades focused on the effect of the Urban Heat Island. Initial efforts on understanding the factors affecting UHI contributed to proceed the appropriate solutions and mitigation strategies. Mitigation strategies comprise increase both urban albedo (reflectivity to solar radiation), and evapotranspiration. Albedo increases are obtained through high albedo roofing and paving technologies. An increase in evapotranspiration is achieved through a combination of decreasing the fraction of impervious surfaces and planting vegetation in urban areas. The outdoor thermal comfort is influenced by the perception and satisfaction of the pedestrians, especially in hot and arid climates. Consequently, this work focuses on the appropriate methods for reducing the Urban Heat Island and thus to enhance the pedestrians outdoor thermal comfort. However, there is limited research conducted on the outdoor thermal comfort in hot and arid climate. The studies on the mitigation the Urban Heat Island and the outdoor thermal comfort are almost non-existent for Baghdad city. Baghdad has a complex urban fabric with modern design constructions buildings, traditional and heritage houses. The climate in summer is hot, and summer months are considered the longest season with nearly 7 months of the year. This study focuses on investigating possible mitigation strategies to ensure how pedestrian comfort is affected by the constructions design choices comparing a traditional district to a modern one, and on how vegetation and shading patterns contribute to reducing the effect of UHI and improving the outdoor thermal comfort. Four different scenarios are designed to assess the role of vegetation elements such as trees, grass, and different shading patterns. The evaluation was performed on the hottest day in summer, the mean radiant temperature, specific humidity, air temperature, and wind speed distributions have been analyzed using ENVI-met software. Thermal comfort is assessed using the thermal indices the Physiological Equivalent Temperature PET and the Predicted Mean Vote PMV. Also, a proposal model is designed to evaluate the thermal comfort on the hottest day and the typical day in summer. The results revealed an improvement on thermal comfort in the typical day in summer. The study shows how the urban factors such as the aspect ratio, vegetation cover, shadings, and geometry of the canyon are crucial elements that urban planners and municipalities have to take into account, especially for new urban developments in hot, arid climate

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Falcini, Patrick. "Analisi di immagini termiche aeree e satellitari per indagini multiscala in ambito urbano." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2011. http://amslaurea.unibo.it/2007/.

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L’alta risoluzione nel telerilevamento termico (Thermal Remote Sensing) da aereo o satellitare si rivela molto importante nell’analisi del comportamento termico delle superfici, in particolare per lo studio dei fenomeni climatici locali dello spazio urbano. La stato termico dell'ambiente urbano è oggi motivo di grande interesse per ricercatori, organi istituzionali e cittadini. Uno dei maggiori campi di studio del comportamento termico urbano interessa il problema energetico: la riduzione dei consumi e delle emissioni di CO2 è un obiettivo primario da perseguire per uno sviluppo sostenibile, spesso supportato da criteri legislativi e progetti comunitari. Su scala differente e con caratteristiche differenti, un altro degli argomenti che scuote da anni e con notevole interesse la ricerca scientifica, è il fenomeno termico urbano che prende il nome di isola di calore; questa si sviluppa non solo in conseguenza al calore sensibile rilasciato da attività antropiche, ma anche a causa della sempre maggiore conversione del territorio rurale in urbanizzato (inurbamento), con conseguente riduzione del fenomeno dell’evapotraspirazione. Oggetto di questa dissertazione è lo studio del comportamento termico delle superfici in ambito urbano, sperimentato sulla città di Bologna. Il primo capitolo si interessa dei principi e delle leggi fisiche sui quali è basato il telerilevamento effettuato nelle bende spettrali dell’infrarosso termico. Viene data una definizione di temperatura radiometrica e cinematica, tra loro legate dall’emissività. Vengono esposti i concetti di risoluzione (geometrica, radiometrica, temporale e spettrale) dell’immagine termica e viene data descrizione dei principali sensori su piattaforma spaziale per l’alta risoluzione nel TIR (ASTER e Landsat). Il secondo capitolo si apre con la definizione di LST (Land Surface Temperature), parametro del terreno misurato col telerilevamento, e ne viene descritta la dipendenza dal flusso della radiazione in atmosfera e dalle condizioni di bilancio termico della superficie investigata. Per la sua determinazione vengono proposti metodi diversi in funzione del numero di osservazioni disponibili nelle diverse bande spettrali dell’IR termico. In chiusura sono discussi i parametri che ne caratterizzano la variabilità. Il capitolo terzo entra nel dettaglio del telerilevamento termico in ambito urbano, definendo il fenomeno dell’Urban Heat Island su tutti i livelli atmosferici interessati, fornendo un quadro di operabilità con gli strumenti moderni di rilievo alle differenti scale (analisi multiscala). Un esempio concreto di studio multiscala dei fenomeni termici urbani è il progetto europeo EnergyCity, volto a ridurre i consumi energetici e le emissioni di gas serra di alcune città del centro Europa. Il capitolo quarto riporta la sperimentazione condotta sull’isola di calore urbana della città di Bologna tramite immagini ASTER con risoluzione spaziale 90 m nel TIR e ricampionate a 15 m dal VIS. Lo studio dell’isola di calore si è effettuata a partire dal calcolo della Land Surface Temperature utilizzando valori di emissività derivati da classificazione delle superfici al suolo. Per la validazione dei dati, in alternativa alle stazioni di monitoraggio fisse dell’ARPA, presenti nell’area metropolitana della città, si è sperimentato l’utilizzo di data-loggers per il rilievo di temperatura con possibilità di campionamento a 2 sec. installati su veicoli mobili, strumentati con ricevitori GPS, per la misura dei profili di temperatura atmosferica near-ground lungo transetti di attraversamento della città in direzione est-ovest.

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Odame, Emmanuel, Ying Li, Shimin Zheng, and Ken Silver. "Meta-Analysis to Determine Vulnerability of Rural Areas to Heat Mortality." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etsu-works/23.

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Background: Numerous epidemiological studies have demonstrated a possible correlation between high temperature and mortality in different settings. Most of these studies have focused on urban settings in industrialized countries, concluding that urban populations are more vulnerable to heat effects than rural populations. This has mainly been attributed to the urban heat island (UHI) effect, a phenomenon which explains the elevated temperatures in urban areas. Others have contradicted this finding and concluded that rural residents are more vulnerable. For this study, we test the hypothesis that rural populations and sub-populations are also vulnerable to heat mortality. Method: A comprehensive literature search was conducted using PubMed, Web of Science and Google Scholar to identify peer-reviewed studies investigating heat mortality in rural settings. Using keywords and a set of rigorous inclusion and exclusion criteria, ten studies were selected. Meta-analysis was then performed using the Comprehensive MetaAnalysis V3.exe software. Results and discussion: The pooled relative risk (RR) was 1.191 (95% confidence interval: 1.130-1.251). Although rural populations may not be exposed to as high temperatures as urban populations, they remain vulnerable to heat effects. Conclusion: There is evidence of heat vulnerability in rural populations and subpopulations. Heat vulnerability is not only determined by heat exposure, but also by sensitivity and adaptive capacity. Rural populations and sub-populations may be vulnerable to heat mortality due to low adaptive capacity. Further studies are needed to assess risk factors that predispose rural populations and sub-populations to heat mortality in order to develop effective public health interventions.

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Siqueira, Rubens Villar. "Estimativa da temperatura de superfície na região metropolitana de Goiânia por meio de imagens Landsat e previsão de temperaturas para períodos posteriores." Universidade Federal de Goiás, 2015. http://repositorio.bc.ufg.br/tede/handle/tede/5406.

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Climate analysis, whether at global, regional or local level, it has been the subject of research in various fields of earth sciences. Among the climatic parameters, temperature and precipitation have gained importance in recent decades because of significant changes in their magnitudes. Thus, this work performs a detailed analysis of the temperature for the Greater Goiânia, using satellite images to generate surface temperature for the study area, at first, through an analysis between the years 1997 and 2008 and after in about twenty years, periodically every four years, for the years 1997, 2001, 2005, 2009 and 2014. The elaborate maps, besides showing the spatial variation of urban heat islands, show that there was significant changes to the minimum temperature, maximum and average. Between the period 1997 and 2008, the minimum decrease about 1.4°C and maximum jump of 31.2°C to 36.0°C. Test results for the five periods between 1997 and 2014, show that the year 2014 is presented as the hottest in the years studied. Through the resulting maps of this analysis, it can see that the range of temperatures, the difference between the maximum and minimum, grow with the years. An estimated temperature of satellite validation model was performed by direct comparison between the surface temperature and the data of GOIÂNIA weather station belonging to INMET, with differences of 0.7°C to 1.9°C between the temperatures demonstrating the applicability of satellite images to estimate temperatures in areas that do not have a dense meteorological network. The last analysis performed is forecast monthly temperatures for the period between the years 2040-2047, using the method of Holt-Winters. The model used for predicting allowed the computation of the seasonality of the minimum monthly temperatures, average and maximum for the historical period between the years 1970 to 2015. The predicted temperatures renew the expectation of increased minimum temperatures, average and maximum presented by the analysis of Historic data. As shown, in addition to the monthly increases in temperature, the occurrence of these will be situated in the highest classes of about 1.0° C warmer. We can see that, too, after 2000, all temperatures rise significantly, where their amplitudes between the minimum and maximum are located at a higher level than in previous years.
A análise do clima, seja em escala global, regional ou local, tem sido objeto de pesquisa em diversas áreas das ciências da terra. Dentre os parâmetros climáticos, a temperatura e a precipitação ganharam importância nas últimas décadas devido as alterações significativas em suas magnitudes. Desta forma, este trabalho executa uma análise particularizada da temperatura para a Região Metropolitana de Goiânia, utilizando imagens de satélites a fim de gerar a temperatura de superfície para a área de estudo, em um primeiro momento, por meio de uma análise entre os anos de 1997 e 2008 e após em cerca de vinte anos, periodicamente a cada quatro anos, para os anos de 1997, 2001, 2005, 2009 e 2014. Os mapas elaborados, além de mostrarem a variação espacial das ilhas de calor urbano, demonstram que houve variações significativas para as temperaturas mínimas, máximas e médias. Entre o período de 1997 e 2008, as mínimas decrescem aproximadamente em 1,4°C e as máximas saltam de 31,2°C para 36,0°C. Os resultados da análise para os cinco períodos entre 1997 e 2014, demonstram que o ano de 2014 se apresentou como o mais quente entre os anos estudados. Por meio dos mapas resultantes desta análise, é possível notar que a amplitude das temperaturas, diferença entre as máximas e mínimas, crescem com o decorrer dos anos. Um modelo de validação das temperaturas estimadas por satélite foi executado por meio da comparação direta entre a temperatura de superfície e os dados da estação meteorológica GOIÂNIA, pertencente ao INMET, apresentando diferenças de 0,7°C a 1,9°C entre as temperaturas, demonstrando a aplicabilidade de imagens de satélite para estimativa de temperaturas em áreas que não dispõem de uma rede meteorológica adensada. A última análise executada trata da previsão de temperaturas mensais para o período entre os anos de 2040 a 2047, utilizando o método de Holt-Winters. O modelo adotado para a previsão permitiu a computação da sazonalidade das temperaturas mensais mínimas, médias e máximas para o período histórico entre os anos de 1970 a 2015. As temperaturas previstas reafirmam a expectativa do aumento das temperaturas mínimas, médias e máximas apresentadas pela análise dos dados históricos. Conforme demonstrado, além dos aumentos nas temperaturas mensais, a ocorrência destas se situará em regiões mais altas, com cerca de 1,0°C mais quentes. Podemos notar que, também, após o ano 2000, todas as temperaturas se elevam de forma significativa, onde suas amplitudes entre as mínimas e máximas se situam em um patamar mais elevado que nos anos anteriores.

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Книги з теми "Urban Heat Islands (UHI)"

Enteria, Napoleon, Matteos Santamouris, and Ursula Eicker, eds. Urban Heat Island (UHI) Mitigation. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4050-3.

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Gartland, Lisa. Heat islands: Understanding and mitigating heat in urban areas. London: Earthscan, 2011.

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Inc, Altostratus. Urban surface modification as a potential ozone air-quality improvement strategy in California: Fine-resolution meteorological and photochemical modeling of urban heat islands : PIER final project report. Sacramento, Calif.]: California Energy Commission, 2009.

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Prakash, Satya, and Anne W. Ng, eds. Urban Heat Islands Reexamined. Nova Science Publishers, 2022. http://dx.doi.org/10.52305/rkfg7202.

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Satyaprakash. Urban Heat Islands Reexamined. Nova Science Publishers, Incorporated, 2022.

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Satyaprakash. Urban Heat Islands Reexamined. Nova Science Publishers, Incorporated, 2022.

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Adaptation Measures for Urban Heat Islands. Elsevier, 2020. http://dx.doi.org/10.1016/c2018-0-02182-9.

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Adaptation Measures for Urban Heat Islands. Elsevier Science & Technology, 2020.

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Adaptation Measures for Urban Heat Islands. Elsevier Science & Technology Books, 2020.

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Gartland, Lisa Mummery. Heat Islands: Understanding and Mitigating Heat in Urban Areas. Taylor & Francis Group, 2012.

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Ngarambe, Jack, Gon Kim, and Geun Young Yun. "Country-Wide Effects of Urban Heat Island on Cooling and Heating Energy Use—An Empirical Case of Office Buildings in South Korea." In Lecture Notes in Civil Engineering, 497–510. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-8401-1_35.

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AbstractUrban Heat Islands (UHI) affect building energy use in many cities worldwide. The correlations between UHI and building energy use have mostly been studied via city-scale modeling simulations, making validation of the obtained results challenging. In this study, we use clustering and statistical methods to examine the relationship between various indicators of UHI and building energy use, utilizing archived empirical data on energy consumption in office buildings across the entire country of South Korea. Our findings reveal considerable differences in UHI behavior across provinces and cities in the country. These variations are driven by a complex interplay of factors related to geographic locations, urbanization levels, and the topography of the provinces. These results suggest that mitigative efforts for UHI in South Korea should consider targeted measures tailored to specific locales. We also identify strong positive correlations between various UHI indicators, particularly monthly average Urban Heat Island Intensity (UHII) and cooling energy consumption in office buildings. However, the relationship between UHII and heating energy consumption was largely non-existent. These findings offer an empirical foundation for the development of efficient and inclusive policies that promote livability in urbanized areas.

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Fujibe, Fumiaki. "Basic Features of the Urban Heat Island (UHI)." In Climatological Study of Urban Climate and Heat and Cold Mortalities in Japan, 5–29. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4386-9_1.

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Mahdavi, Ardeshir, Kristina Kiesel, and Milena Vuckovic. "Methodologies for UHI Analysis." In Counteracting Urban Heat Island Effects in a Global Climate Change Scenario, 71–91. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-10425-6_3.

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Shafi, Mujtaba, Amit Jain, and Majid Zaman. "Applying Machine Learning Algorithms on Urban Heat Island (UHI) Dataset." In International Conference on Innovative Computing and Communications, 725–32. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3679-1_63.

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Islam, Hafiza Saba, Talib Elahi Butt, Shaker Mahmood Mayo, Siddiqa Amin, and Maria Ali. "Urban Heat Island (UHI) Implications and a Holistic Management Framework." In Climate Change and Cooling Cities, 83–96. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3675-5_5.

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Leone, Federica, and Fausto Carmelo Nigrelli. "Urban Changes to Control and Mitigate the Urban Heat Islands (UHI): Analysis in the Catania’s Territory." In Lecture Notes in Civil Engineering, 449–56. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68824-0_48.

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Damyanovic, Doris, Florian Reinwald, Christiane Brandenburg, Brigitte Allex, Birgit Gantner, Ulrich Morawetz, and Jürgen Preiss. "Pilot Action City of Vienna – UHI-STRAT Vienna." In Counteracting Urban Heat Island Effects in a Global Climate Change Scenario, 257–80. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-10425-6_9.

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Mohamed, Mady, AlBushra Alanbar, and Nancy M. Badawy. "The Role of Park Cooling Island (PCI) in Mitigating Urban Heat Island (UHI)." In Research and Innovation Forum 2023, 219–42. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-44721-1_18.

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Musco, Francesco, Laura Fregolent, Davide Ferro, Filippo Magni, Denis Maragno, Davide Martinucci, and Giuliana Fornaciari. "Mitigation of and Adaptation to UHI Phenomena: The Padua Case Study." In Counteracting Urban Heat Island Effects in a Global Climate Change Scenario, 221–56. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-10425-6_8.

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Zauli Sajani, Stefano, Stefano Marchesi, Paolo Lauriola, Rodica Tomozeiu, Lucio Botarelli, Giovanni Bonafè, Graziella Guaragno, et al. "UHI in the Metropolitan Cluster of Bologna-Modena: Mitigation and Adaptation Strategies." In Counteracting Urban Heat Island Effects in a Global Climate Change Scenario, 131–200. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-10425-6_6.

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Тези доповідей конференцій з теми "Urban Heat Islands (UHI)"

Rodrigues de Almeida, Cátia, João Alírio, Artur Gonçalves, and Ana Cláudia M. Teodoro. "Use of data from the advanced spaceborne thermal emission and reflection radiometer (ASTER) for the study of the urban heat island (UHI) in Bragança (Portugal) (2000-2023)." In Earth Resources and Environmental Remote Sensing/GIS Applications XV, edited by Karsten Schulz, Konstantinos G. Nikolakopoulos, and Ulrich Michel, 12. SPIE, 2024. http://dx.doi.org/10.1117/12.3030953.

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Bhamjee, Muaaz, Hiyam Debary, Zaheed Gaffoor, Tamara Govindasamy, Craig Mahlasi, Mustansar Fiaz, Etienne Vos, et al. "Detection and Characterization of Urban Heat Islands with Machine Learning." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 1693–99. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641750.

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Pothamsetty, Amuktamalyada, and Faiz Ahmed Chundeli. "Optimizing Urban Morphology to Mitigate Urban Heat Islands: A Case of Hyderabad." In ENERGISE 2023. Alliance for an Energy Efficient Economy (AEEE), 2024. http://dx.doi.org/10.62576/naqy4939.

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Urbanization, changing urban geometries and surfaces, forms hotspots called urban heat islands (UHI). Several studies have been conducted to understand its cause, intensity, and impact on urban microclimate. The current study attempts to assess the impact of the urban morphology of multiple residential urban blocks in Hyderabad on urban heat island intensity. The study explores the possibility of UHI mitigation by modifying morphology constructed on policy measures like zoning regulations. Six urban residential blocks under the city's peri-urban belt are studied for their morphology and microclimate. Field study, 2D building database, and satellite imagery are used to develop urban built geometry of the blocks. The microclimate, i.e., air temperature and wind speed, is determined using a numerical model, ENVI-met. The simulated microclimate data is used to compute UHI intensity based on reference climate data of an urban block at the time of the investigation. The urban morphology is then modified to reduce UHI intensity. The modified urban geometry with a significant reduction in UHI intensity is used to suggest planning/design recommendations through zoning regulations. Further, the paper reinforces the significance of the correlation between UHI and urban morphology, which can be regulated through zoning.

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Kumar, Atul, Jagrati Sehgal, Mahua Mukherjee, and Ajanta Goswami. "Impact Zonation and Mitigation of UHI through remote sensing & development of blue green infrastructure network." In Countermeasures to Urban Heat Islands. BS Publications, 2022. http://dx.doi.org/10.37285/bsp.ic2uhi.20.

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Wong, Kaufui V., and Sarmad Chaudhry. "Use of Satellite Images for Observational and Quantitative Analysis of Urban Heat Islands Around the World." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-93029.

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Urban Heat Island Intensity (UHII) is calculated as the spatially-averaged temperature difference between an urban and its surrounding rural area. This concept, however, provides an umbrella for a range of diversified ideas that include the temperature difference between the densely developed urban area and least developed area or between two different built-up areas. There are also averages for the season, for the year, for multiple years, etc. and UHII quoted for the day and another for the night. The objective of this work is to examine the urban heat island effect for cities around the world, using readily available data. The innovation is in using data from the Landsat satellites for different cities previously not studied. Thermal images of the Earth were obtained and analyzed to produce surface temperature maps. These maps showed that the temperature in the urban environments were significantly higher than the temperature in the surrounding countryside, a defining characteristic of urban heat island. Furthermore, the urban and rural areas in the images were separated and analyzed individually to quantitatively measure the temperature difference. It was found that the UHII could be 0.3–5.1°C for the eleven cities investigated. Miami and Shenzen are two cities which seem to have been missed in previous studies because they were limited in their scope and responsibilities, and their methods required much more resources for the longer term studies. It is not the claim here that a UHI is definitively established by the analysis presented of the Landsat satellite data. The present work demonstrates the use of a possible planning tool in terms of understanding where urban areas may be subjected to additional heat. Our use of the method shows that a UHI is probably taking place at the time of observation, and precautionary notices should be sent out to the community to take preventative measures to ensure their health and wellbeing. The minimal resources required is the demonstration shown by our work of the usefulness of this method.

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Najian, Maede, and Navid Goudarzi. "Sustainable Building Energy Modeling: the Synergistic Interplay of Urban Heat Island, Heat Waves, and Climate Zones." In ASME 2024 Fluids Engineering Division Summer Meeting collocated with the ASME 2024 Heat Transfer Summer Conference and the ASME 2024 18th International Conference on Energy Sustainability. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/fedsm2024-131524.

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Abstract This study explores the impact of climate phenomena and their interactions on evaluating building energy analysis. The Urban Heat Island (UHI) is highlighted as a key parameter affecting the microclimate around buildings, influencing energy consumption, and thermal comfort. This study also examines other relevant factors such as Heat Waves (HWs) and their interaction with UHI and climate zones. Employing the Weather Research Forecasting (WRF) model and statistical analyses, the research focuses on Singapore and Australia to investigate the relationships between UHI, HW, and climate zones. Our findings indicated that climate zones and the frequency of climate phenomena play a pivotal role in determining the impact of HW on UHI. Although HWs had a limited effect on UHI in Singapore, data from Sydney showed varied UHI responses to HWs. Understanding these complex interactions is crucial for designing high-performance buildings and improving building energy modeling tools.

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Gherasim, Paul, Dima Mihai, Pascariu Ion, and Popa Silvia. "UHI ANALYZES FOR AREAS SUSCEPTIBLE TO LANDSLIDES IN THE CITY OF IASI." In 23rd SGEM International Multidisciplinary Scientific GeoConference 2023. STEF92 Technology, 2023. http://dx.doi.org/10.5593/sgem2023v/4.2/s19.46.

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This study explores the intricate relationship between Urban Heat Islands (UHIs) and landslide vulnerability within the context of Iasi City, Romania. UHIs are characterized by elevated temperatures in urban areas compared to their surrounding rural areas, primarily resulting from human activities and urbanization. The combination of these two factors, UHI and landslide vulnerability, poses critical challenges for urban planning, environmental sustainability, and public safety. The research employs a multi-disciplinary approach, integrating remote sensing and geospatial analysis to assess the spatial distribution of UHI zones and their correlation with landslide susceptibility in Iasi City. Satellite imagery and meteorological data from recent years provide insights into the temporal dynamics of UHIs. Landslide susceptibility mapping is conducted through the analysis of geological, topographical, and hydrological factors, in adherence to HG 447/2003 guidelines. Results indicate that UHI zones in Iasi City exhibit distinct spatial patterns, with the urban core experiencing significantly higher temperatures compared to suburban areas. Furthermore, UHI zones are found to overlap with areas characterized by increased landslide vulnerability, especially in regions with steep slopes and poor drainage. This research contributes to a better understanding of the interplay between UHIs and landslides, providing valuable insights for policymakers, urban planners, and local authorities in implementing sustainable land use practices and climate adaptation measures in accordance with HG 447/2003 regulations to safeguard the future of Iasi City and similar urban areas facing similar challenges

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Hashemi, Farzad, Lisa Domenica iulo, and UTE POERSCHKE. "A Novel Approach for Investigating Canopy Heat Island Effects on Building Energy Performance: A Case Study of Center City of Philadelphia, PA." In 2020 ACSA Fall Conference. ACSA Press, 2020. http://dx.doi.org/10.35483/acsa.aia.fallintercarbon.20.30.

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Because of the urban heat island (UHI) effect, an urban agglomeration is typically warmer than its surrounding rural area. Today, UHI effects are a global concern and have been observed in cities regardless of their locations and size. These effects threaten the health and productivity of the urban population, moreover, they alter buildings energy performance. The negative impacts of UHI on human welfare have been confirmed broadly during the past decades by several studies. However, the effects of increased temperatures on the energy consumption of buildings still need a comprehensive investigation. Moreover, considering the UHI effects at the early stages of the design process is still not pervasive due to the lack of straightforward and convenient methodologies to include these effects in the estimation process of buildings’ energy consumption. To fill the mentioned gaps, a novel methodology of coupling the Local Climate Zones (LCZs) classification system and the Urban Weather Generator (UWG) model is proposed in this study to evaluate the UHI impacts on the energy consumption of various building typologies positioned in different climate zones. The methodology is applied to the most populated area of city of Philadelphia, Center City, and modified Typical Meteorological Year (mTMY) data comprising the canopy heat islands effect in the scale of an urban block or a neighborhood are produced in the format of .epw. The initial results of this study show an average of 2.7 °C temperature difference between existing local climate zones of Center City and reference TMY3 weather data recorded at Philadelphia International Airport during three sequential summer days. The generated weather data then were incorporated into an Urban Building Energy Model (UBEM) to simulate the spatiotemporal differentiation of energy demand for cooling and heating end-uses at each building typology under two scenarios of weather data i.e. mTMY and TMY3 data.

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Dervishi, Sokol, Eltjona Lacaj, and Regina Vathi. "Urban Heat Islands(UHI) Mitigation in Densely Urban city of Tirana, Albania: Materials, Energy, Comfort." In University for Business and Technology International Conference. Pristina, Kosovo: University for Business and Technology, 2012. http://dx.doi.org/10.33107/ubt-ic.2012.5.

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Dissanayake, D. M. D. O. K., and K. M. Kurugama. "Remote sensing and GIS approach to evaluate the UHI effect in Colombo city using landsat satellite data." In International Symposium on Earth Resources Management & Environment - ISERME 2023. Department of Earth Resources Engineering, 2023. http://dx.doi.org/10.31705/iserme.2023.13.

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This study examines Colombo’s heat island effect due to rapid development, with factors including urbanisation, reduced vegetation, increased energy use, heat-absorbing surfaces, and waste heat. Urban expansion absorbs and releases heat, raising night temperatures, while reduced vegetation disrupts natural temperature regulation. Energy consumption from air conditioning, industry, and transport worsens the effect. Heat-trapping surfaces and waste heat intensify the problem. The study analyses land surface temperature (LST), normalized vegetation difference index (NDVI), normalised difference building index (NDBI), and albedo’s role in the urban heat island (UHI) effect. UHI spread north, east, and southeast from 2001 to 2019. NDVI inversely correlates with LST, indicating vegetation mitigates UHI; NDBI positively correlates, showing that built areas contribute. Lower albedo values heighten UHI by absorbing more solar radiation. Urban thermal difference index (UTFVI) assessment identifies 27% of the region under high thermal stress. Future Colombo urban planning should integrate strategies like urban greening, cool roofs, sustainable planning, energy efficiency, and public awareness to address the UHI effect, enhance residents’ lives, and promote sustainability. Successful implementation requires collaboration among policymakers, urban planners, and residents for a resilient urban environment.

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Звіти організацій з теми "Urban Heat Islands (UHI)"

Tran, My-Thu, and Bo Yang. Using Thermal Remote Sensing to Quantify Impact of Traffic on Urban Heat Islands during COVID. Mineta Transportation Institute, April 2023. http://dx.doi.org/10.31979/mti.2023.2207.

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A three-month lockdown in the U.S. at the beginning of the COVID-19 outbreak in 2020 greatly reduced the traffic volume in many cities, especially large metropolitan areas such as the San Francisco Bay Area. This research explores the impact of transportation on climate change by using remote sensing technology and statistical analysis during the COVID-19 lockdown. Using thermal satellite data, this research measures the intensity of the urban heat island, the main driver for climate change during the urbanization process. The research team acquired morning and afternoon MODIS data in the same periods in 2019 before the pandemic and 2020 during the pandemic. MODIS imagery provides a wall-to-wall land surface temperature map to precisely measure the dynamics of the urban heat effect. In situ meteorological data were also acquired to build an urban surface energy budget and construct statistical models between solar radiation and the intensity of heat dynamics. The team implemented this urban heat budget in six counties in Northern California. This research quantifies the impact of lockdown policies on heat intensity in urban areas and human mobility in the context of COVID-19 and future pandemics. The quantitative results obtained in this study provide critical information for analyses of climate change impact on an urban scale.

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