Submitted by Washington Paulo Gomes null (wpg_ubatuba@hotmail.com) on 2017-11-09T19:37:33Z No. of bitstreams: 1 Dissertação_vs_final_Washington Paulo Gomes.pdf: 31161181 bytes, checksum: 1bdff42bfc10a710583e66dc5c3401ad (MD5) / Approved for entry into archive by Luiz Galeffi (luizgaleffi@gmail.com) on 2017-11-21T14:25:33Z (GMT) No. of bitstreams: 1 gomes_wp_me_prud.pdf: 31161181 bytes, checksum: 1bdff42bfc10a710583e66dc5c3401ad (MD5) / Made available in DSpace on 2017-11-21T14:25:33Z (GMT). No. of bitstreams: 1 gomes_wp_me_prud.pdf: 31161181 bytes, checksum: 1bdff42bfc10a710583e66dc5c3401ad (MD5) Previous issue date: 2017-10-06 / Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) / Os estudos sobre clima urbano realizados até o momento deram maior relevância às cidades de grande porte, supostamente pelo maior comprometimento da qualidade de vida de seus habitantes e pelo agravamento dos problemas ambientais. Atualmente, no Brasil, há avanços em relação aos trabalhos realizados em cidades de pequeno e médio porte, sendo fundamentais para planificação e o ordenamento territorial. Considerando-se a carência de estudos sobre a qualidade do ambiente urbano, sobretudo, em cidades de pequeno e médio porte em zonas costeiras no Brasil, e a necessidade de se realizar pesquisas que se referem à qualidade ambiental necessária para o desenvolvimento da vida humana, foi proposto o estudo do clima urbano em Ubatuba-SP. Este trabalho buscou compreender até que ponto a dimensão de uma cidade pode gerar um clima urbano específico e, também, quais seriam as formas de espacialização das ilhas de calor em uma cidade localizada na zona costeira. O objetivo principal deste estudo foi compreender e analisar o clima urbano de Ubatuba-SP, buscando identificar os níveis de interferência humana no ambiente, caracterizar as temperaturas de acordo com os sistemas atmosféricos atuantes e sua distribuição no espaço geográfico, levando em consideração os diferentes padrões construtivos e as características do relevo. A pesquisa teve como aporte teórico o Sistema Clima Urbano com ênfase no subsistema termodinâmico. Buscou-se trabalhar as relações entre os atributos geoecológicos do sítio, a morfologia e as funções urbanas. Os procedimentos metodológicos realizados se basearam na coleta de dados por medidas móveis, por pontos fixos e imagens de satélites. Os transectos móveis para a coleta de dados de temperatura foram realizados nos períodos da manhã (9h), tarde (15h) e noite (21h), em três episódios, durante os dias 11, 18 e 27 de novembro de 2015, totalizando nove medidas simultâneas em dois trajetos S-N e O-L. Foram instalados 15 miniabrigos meteorológicos (pontos fixos) distribuídos pela malha urbana para a coleta dos dados de temperatura e umidade relativa do ar no mês de novembro de 2015, neste caso, também foram utilizados os dados das estações meteorológicas automáticas do Instituto Agronômico de Campinas (IAC) e do Instituto Oceanográfico da Universidade de São Paulo (IOUSP), totalizando 17 pontos de registro. Os dados das estações meteorológicas também foram utilizados para realizar a caracterização da direção e velocidade predominante dos ventos e na identificação das brisas marítimas e terrestres. Também foram utilizadas técnicas de sensoriamento remoto com o objetivo de realizar a modelagem da ilha de calor urbana, considerando as características de uso e a ocupação da terra. Os resultados apontaram diferenças de até 5,4ºC nas medidas móveis e diferenças de até 6ºC nas medidas fixas. A modelagem foi capaz de explicar cerca de 50% da variabilidade das temperaturas com a formação de ilha de calor bem definida na área central da cidade, apresentando intensidade de 5°C em relação ao entorno rural. O sistema de brisas contribuíram, em alguns casos, para o deslocamento da temperatura, sendo mais eficiente durante o dia sob efeitos das brisas marítimas com o deslocamento do calor da área central para o interior do continente e menos frequente durante a noite sob atuação da brisa terrestre. De modo geral as áreas mais quentes da cidade com a geração de ilhas de calor se apresentaram como resultados dos processos de ocupação desigual do espaço, sendo as áreas densamente construídas, com baixo padrão construtivo e baixa vegetação arbórea, e sobretudo, localizadas fora das áreas de interesse turístico, de valorização cênica e forte especulação imobiliária dos espaços residenciais fechados nas orlas das praias. / Les études sur le climat urbain effectuées jusqu'à présent ont donné une plus grande importance aux grandes villes, supposément en raison d’une plus grande attention accordée à la qualité de vie de ses habitants et par l'aggravation des problèmes environnementaux. Actuellement, au Brésil, des avancées ont permis d’améliorer les connaissances au cours d’études menées sur les petites et moyennes villes, fondamentales pour la planification de l’aménagement du territoire. Compte tenu de l'absence d'études sur la qualité de l'environnement urbain, en particulier dans les petites et moyennes villes des zones côtières du Brésil, le cas du climat urbain de la ville d'Ubatuba-SP a été étudié en profondeur afin de répondre à cette nécessité. Le but de ce travail est de chercher à comprendre dans quelle mesure la dimension d'une ville peut générer un climat urbain spécifique, et aussi, quelles seraient les formes de spatialisation de l’îlot de chaleur dans une ville située en zone côtière. L'objectif principal de cette étude était de comprendre et d'analyser le climat urbain de la ville d'Ubatuba-SP, pour tenter d’identifier les niveaux d'interférences humaines avec l'environnement, de caractériser les températures selon les systèmes atmosphériques et leur distribution dans l'espace géographique, tout cela tenant compte desdifférents standards établis en matière de construction et des carctéristiques du relief. Cette recherche est nourrie par l’apport théorique le Système Climat Urbain dont notamment le sous-système thermodynamique. On a cherché à travailler les relations entre les attributs géoécologiques du site, la morphologie et les fonctions urbaines. Les procédures méthodologiques réalisées se basent sur la collecte de données par mesures mobiles, par mesures fixes et par images de satellites. Les transects mobiles pour la collecte des données de température ont été effectués le matin (9h), l'après-midi (15h) et la nuit (21h), en trois épisodes, lors des 11, 18 et 27 novembre 2015, totalisant neuf mesures simultanées sur deux axes S-N et O-E. Quinze points de mesures fixes ont été répartis en divers secteurs de la ville pour procéder à la collecte des donneés, à savoir sur la température et l'humidité relative au mois de novembre 2015. Les données des stations météorologiques automatiques de l'Institut Agronomique de Campinas (IAC) et de l'Institut Océanographique de l'Université de São Paulo (IOUSP), totalisant 17 points d'enregistrement, ont aussi été exploitées. Les données des stations météorologiques ont également été utilisées pour caractériser la direction et la vitesse prédominante des vents ainsi que pour l’identification des brises maritimes et terrestres. La modélisation de l’îlot de chaleur urbain, qui considère les caractéristiques d'occupation et d'usage du sol, a nécessité l’emploi de techniques de télédétection. Les résultats ont montré des différences de 5,4°C dans les mesures mobiles et des différences de 6ºC dans les mesures fixes. Le modéle a permis d'expliquer environ 50% de la variabilité des températures avec la formation d'un îlot de chaleur bien défini dans la zone centrale de la ville, présentant une température supérieure de 5°C par rapport au milieu rural. Le système de brise a contribué, dans certains cas, au brassage de la température, à effacer pendant la journée sous les effets des brises de mer avec le déplacement de chaleur de la zone centrale vers l'intérieur du continent mais moins fréquent pendant la nuit sous l’effet de la brise terrestre. En général, les zones plus chaudes de la ville, où est généré l’îlot de chaleur ont seraient le résultats de processus d'occupation inégale de l'espace. Ces zones correspondent aux secteurs densément construits, avec des standards établis en matière de construction, un faible taux de végétation arborée et particulièrement en dehors des zones d'intérêt touristique, de l'évaluation scénique et de la forte spéculation immobilière des espaces résidentiels fermés dans les rives des plages. / The studies on urban climate carried out so far have given greater importance to large cities, presumably because the greater quality of life of its inhabitants and the aggravation of environmental problems. Currently, in Brazil, there are advances related to works carried out in small and medium-sized cities, being fundamental territorial planning. Considering the lack of studies on the quality of the urban environment, especially in small and medium-sized cities in coastal areas in Brazil, and the need to carry out research that refers to the environmental quality necessary for the development of human life it was proposed the study of the urban climate of the city of Ubatuba-SP. This study aimed to understand how the extent size of a city can generate a specific urban climate and, even, which would be the forms of spatialization of the heat islands in a city located in the coastal zone. The main objective of this study was to understand and analyze the urban climate of the city of Ubatuba, looking for to identify the levels of human interference in the environment, to characterize the temperatures according to the atmospheric systems and their distribution in the geographic space, taking into account the different constructive patterns and the characteristics of the relief. The research had as theoretical contribution the Urban Climate System with emphasis in the thermodynamic subsystem. It was aimed to work the relations between the geoecological attributes of the site, the morphology and the urban functions. The methodological procedures were based on the collection of data by mobile measurements, by fixed points and satellite images. The mobile transects for the collection of temperature data were performed in the morning (9 A.M.), afternoon (3 P.M.) and night (9 P.M.), in three episodes, during November 11th, 18th and 27th of the year of 2015, totaling nine simultaneous measurements on two routs S-N and W-E. Fifteen fixed measurement points were installed in the urban network of the city to collect data on temperature and relative humidity in the month of November 2015, in this case, were also used data from automatic weather stations of the Agronomic Institute of Campinas (IAC) and the Oceanographic Institute of the University of São Paulo (IOUSP), totaling 17 registration points. The data of the meteorological stations were also used to characterize the direction and the predominant velocity of the winds and in the identification of the maritime and terrestrial breezes. Were also used remote sensing techniques in order to carry out the modeling of the urban heat island, considering the use and occupation of land characteristics. The results showed differences of up to 5,4ºC in mobile measurements and differences of up to 6°C in fixed measures. The modeling was able to explain about 50% of the temperature variability with the formation of a well defined heat island in the central area of the city, presenting intensity of 5°C in relation to the rural environment. The system of breezes contributed, in some cases, to the displacement of the temperature, being more efficient during the day under effects of the sea breezes with the displacement of the heat of the central area to the interior of the continent and less frequent during the night under the action of the terrestrial breeze. In general, the hottest areas of the city with the generation of heat islands were presented as results of the processes of uneven occupation of space, being the areas densely constructed, with low constructive pattern and low tree vegetation, and mainly, localized outside the areas of tourist interest, of scenic valuation and strong real estate speculation of the residential spaces closed in the borders of the beaches. / FAPESP: 2015/04784-1 / FAPESP: 2016/06880-0

Urbanisation alters the hydrologic response of a catchment, resulting in increased runoff rates and volumes, and loss of infiltration and base flow. Quantification of uncertainties is important in hydrologic designs of urban infrastructure. Major sources of uncertainty in the Intensity Duration Frequency (IDF) relationships are due to insufficient quantity and quality of data leading to parameter uncertainty and, in the case of projections of future IDF relationships under climate change, uncertainty arising from use of multiple General Circulation Models (GCMs) and scenarios. The work presented in the thesis presents methodologies to quantify the uncertainties arising from parameters of the distribution fitted to data and the multiple GCMs using a Bayesian approach. High uncertainties in GEV parameters and return levels are observed at shorter durations for Bangalore City. Twenty six GCMs from the CMIP5 datasets, along with four RCP scenarios are considered for studying the effects of climate change. It is observed that the uncertainty in short duration rainfall return levels is high when compared to the longer durations. Further it is observed that parameter uncertainty is large compared to the model uncertainty. Disaggregation of precipitation extremes from larger time scales to smaller time scales when the extremes are modeled with the GPD is burdened with difficulties arising from varying thresholds for different durations. In this study, the scale invariance theory is used to develop a disaggregation model for precipitation extremes exceeding specified thresholds. A scaling relationship is developed for a range of thresholds obtained from a set of quantiles of non-zero precipitation of different durations. The disaggregation model is applied to precipitation datasets of Berlin City, Germany and Bangalore City, India. From both the applications, it is observed that the uncertainty in the scaling exponent has a considerable effect on uncertainty in scaled parameters and return levels of shorter durations. A Bayesian hierarchical model is used to obtain spatial distribution of return levels of precipitation extremes in urban areas and quantify the associated uncertainty. Applicability of the methodology is demonstrated with data from 19 telemetric rain gauge stations in Bangalore City, India. For this case study, it is inferred that the elevation and mean monsoon precipitation are the predominant covariates for annual maximum precipitation. For the monsoon maximum precipitation, it is observed that the geographic covariates dominate while for the summer maximum precipitation, elevation and mean summer precipitation are the predominant covariates. In this work, variation in the dependence structure of extreme precipitation within an urban area and its surrounding non-urban areas at various durations is studied. The Berlin City, Germany, with surrounding non-urban area is considered to demonstrate the methodology. For this case study, the hourly precipitation shows independence within the city even at small distances, whereas the daily precipitation shows a high degree of dependence. This dependence structure of the daily precipitation gets masked as more and more surrounding non-urban areas are included in the analysis. The geographical covariates are seen to be predominant within the city and the climatological covariates prevail when non-urban areas are added. These results suggest the importance of quantification of dependence structure of spatial precipitation at the sub-daily timescales, as well as the need to more precisely model spatial extremes within the urban areas. The work presented in this thesis thus contributes to quantification of uncertainty in precipitation extremes through developing methodologies for generating probabilistic future IDF relationships under climate change, spatial mapping of probabilistic return levels and modeling dependence structure of extreme precipitation in urban areas at fine resolutions.

A referida pesquisa tem como finalidade usar ferramentas de geotecnologias para mapear a distribuição espacial do campo térmico da cidade de Piracicaba, SP e comparar os diferentes tipos de superfícies urbanas. Foram feitas coletas de temperatura em 3 áreas distintas, em determinados horários, na estação do verão e inverno. Nesses pontos de coleta de temperatura foram criados polígonos circulares e por meio desses polígonos circulares foram retirados das imagens de alta resolução da videografia aérea multiespectral, utilizando a técnica de classificação supervisionada foram separados as porcentagens dos diferentes tipos das superfícies urbanas. Foram feitas comparações com imagens térmicas, e correlacionadas com pixels retirados do NDVI (Índice de Vegetação por Diferença Normalizada) das imagens multiespectrais da videografia aérea multiespectral, os resultados obtidos do R2=0,68. Outras comparações foram realizadas com as temperaturas coletadas e com cenas da banda 6 do Satélite Landsat 5. Para transformação das cenas, foi utilizado o algoritmo de transformação do software IDRISI 3.2. Foi possível obter mapas temáticos com valores da temperatura radiante da superfície urbana da cidade de Piracicaba. Os resultados obtidos pela comparação entre as classes de cobertura, copa de árvore e a temperatura foram satisfatórios obtendo-se um R2 de 0,56 para polígonos circulares de 50 metros, outros resultados como lago/lagoa o R2 foi 0,72 e para sombra 0,24. Com a evolução dos recursos de geotecnologia, sensoriamento remoto, sistema de informações geográficas, informações mais detalhadas serão obtidas do tecido urbano. / This research aims to use tools to map the geo-spatial distribution of thermal field in Piracicaba, SP, and compare the different types of urban surfaces. Samples were performed in temperature in 3 different areas, at certain times, in the summer season and winter. These collection points were set up temperature circular polygons and polygons through these circulars were derived from images of high resolution multispectral aerial videography, using the technique of supervised classification were separated from the percentages of different types of urban surfaces. Comparisons were made with thermal imaging and correlated with pixels taken from NDVI (Normalized Difference Vegetation Index) the multispectral images of multispectral aerial videography, the results of R2 = 0,68. Other comparisons were made with the temperatures collected and scenes of the band 6 of Landsat 5 (TM). For processing the scenes, we used the algorithm processing software IDRISI 3.2. It was possible to obtain thematic maps with radiant values temperature of the surface of the town of Piracicaba. The results obtained by comparing the classes of coverage, and canopy temperature were adequate to yield an R2 of 0,56 for circular polygons of 50 meters, other results such as lake/pond R2 was 0,72 and for shade 0,24. With the development of resources of geotechnology, remote sensing, geographic information system, more detailed information will be obtained from the urban fabric.

Made available in DSpace on 2014-07-29T15:32:01Z (GMT). No. of bitstreams: 1 Dissertacao Nascimento2011.pdf: 980172 bytes, checksum: d7dc06d048e8d85043786aa568bf42c5 (MD5) Previous issue date: 2010-03-04 / The growth of economic activities and development of technologies provided a strong process of urban growth that has resulted in a range of environmental impacts. Among these environmental problems, the study highlights the change in local climate - urban climate. In urban climate is possible to see differences in climatic factors as the influence of soil cover. It should be noted that simultaneously the spatial behavior of temperature is revealed as the most important element in this complex system, whose main product the phenomenon of "islands heat. " In this context, this dissertation has as objective General conduct a comparative analysis of the historical evolution of heat islands in Goiânia, capital of Goias, in relation to urban growth and consequent changes in land cover, having as a time period 1986 to 2010, making use of remote sensing data to estimate the land surface temperature and geospatial technologies. For this, staff from the Landsat satellite images for five mapping procedures soil cover by lifting the thermal field, which in the former procedure, performed an automatic classification software Envi 4.5, defining classes land cover: Land Cover, Water Bodies, and Urbanized Area Agriculture, and the second procedure, performed the conversion of images thermal infrared data for land surface temperature using the IDRISI version Taiga, through the "thermal module. Based on the data and analysis, we could confirm that surface temperatures on Earth showed a certain pattern of spatial variation, and especially temporal, as the different ground covers. While higher temperatures - reaching 36 ° C - occur in a higher proportion of urbanized areas, temperatures over bland - starting from 19 ° C - are most frequently recorded in areas covered by coverage vegetation and water bodies. Temporal variation in the urban areas have higher positive change for the decrease in the presence of low levels. That shows how these areas are most affected by the intensification of the phenomenon of heat islands. While that there is the significant role of green areas and water bodies as elements effective in alleviating this problem. / O crescimento das atividades econômicas e ao desenvolvimento das tecnologias propiciou um forte processo de crescimento urbano que tem desencadeado uma gama de impactos ambientais. Dentre esses problemas ambientais, ressalta-se a alteração do clima local clima urbano. Nesse clima urbano é possível constatar diferenças nos elementos climáticos conforme a influência da cobertura do solo. Convém salientar que o comportamento espacial simultâneo da temperatura se revela como o mais importante elemento nesse complexo sistema, tendo como principal produto o fenômeno das ilhas de calor . Nesse contexto, a presente dissertação de mestrado possui como objetivo geral realizar uma análise comparativa da evolução histórica das ilhas de calor no município de Goiânia, capital do estado de Goiás, em relação ao crescimento urbano e as consequentes mudanças na cobertura do solo, tendo como recorte temporal o período de 1986 a 2010, valendo-se de dados de sensoriamento remoto para estimar os valores de temperatura superficial terrestre e técnicas de geoprocessamento. Para tanto, foram empregados as imagens do satélite Landsat 5 para os procedimentos de mapeamento de cobertura do solo de levantamento do campo térmico, sendo, no primeiro procedimento, realizado uma classificação automática no software Envi 4.5, definindo-se as classes de cobertura do solo: Cobertura Vegetal, Corpos Hídricos, Área Urbanizada e Agropecuária, e no segundo procedimento, executada a conversão das imagens do infravermelho termal em dados de temperatura superficial terrestre utilizando-se o software IDRISI versão Taiga, por meio do módulo termal. Com base nos dados e nas análises realizadas, pode-se constatar que as temperaturas superficiais terrestre apresentaram certo padrão de variação espacial e, sobretudo, temporal, conforme as diferentes coberturas do solo. Enquanto as temperaturas mais elevadas alcançando 36°C ocorrem em maior proporção sobre as áreas urbanizadas, as temperaturas mais brandas partindo de 19°C são mais registradas nas áreas revestidas por cobertura vegetal e corpos hídricos. Na variação temporal, as áreas urbanizadas apresentam maior variação positiva da participação de valores elevados de TST, acompanhada de diminuição da presença de valores baixos. Isso demonstra o quanto essas áreas são as mais afetadas pela intensificação do fenômeno de ilhas de calor. Ao mesmo tempo em que constata-se o papel significativo das áreas verdes e corpos d água como elementos eficazes na atenuação desse problema.

Submitted by Cláudia Bueno (claudiamoura18@gmail.com) on 2016-04-01T19:43:27Z No. of bitstreams: 2 Dissertação - Rubens Villar Siqueira - 2015.pdf: 4882241 bytes, checksum: 3f8cb0b344dec7efd60e3c7564ed2c56 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) / Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2016-04-04T11:52:29Z (GMT) No. of bitstreams: 2 Dissertação - Rubens Villar Siqueira - 2015.pdf: 4882241 bytes, checksum: 3f8cb0b344dec7efd60e3c7564ed2c56 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) / Made available in DSpace on 2016-04-04T11:52:29Z (GMT). No. of bitstreams: 2 Dissertação - Rubens Villar Siqueira - 2015.pdf: 4882241 bytes, checksum: 3f8cb0b344dec7efd60e3c7564ed2c56 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) Previous issue date: 2015-12-03 / Conselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPq / 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.

A Ilha de Calor Urbana no município e Região Metropolitana de São Paulo foi estudada por uma série de autores da Geografia e Meteorologia através da aplicação de metodologias de estudos empíricos na avaliação do fenômeno. A vigente pesquisa apresenta uma nova metodologia na avaliação do campo térmico urbano e o conjunto de variáveis climáticas e antrópicas que o condicionam. Para tal foi realizado o seguinte teste de hipótese: a dinâmica territorial da Ilha de Calor Urbana corresponde às interações entre as condições sinóticas, uso e cobertura do solo e balanço de energia. Além desta, dentre os diversos objetivos específicos, o estudo contou com a avaliação do campo térmico dos parques públicos de lazer. Para tal foram utilizados os métodos descritivo, seguido do comparativo e análise integrada descritiva, aliados a uma simbiose entre aplicações de técnicas de sensoriamento remoto e geoprocessamento. Um total de nove imagens do satélite Landsat-5 sensor TM no período de 2007 a 2011 foram utilizadas na geração de imagens termais, posteriormente estas foram vetorizadas e sobrepostas a padrões oficiais de uso do solo, também foram adotados índice de vegetação, fotografias áreas, cartas e boletins sinóticos e dados de campo referentes à temperatura do ar, umidade relativa, precipitação, direção e velocidade do vento, evaporação e radiação solar global. O modelo SEBAL (Surface Energy Balance Algorithms for Land) foi aplicado a três imagens do mapeador temático Landsat-5 de diferentes datas, através do mesmo foram gerados mapas de albedo da superfície, saldo de radiação à superfície, fluxo de calor sensível e latente. Os resultados demostraram a veracidade da hipótese, a conformação e dinâmica territorial da Ilha de Calor Urbana corresponderam a diferentes condições de tempos sinóticos, os quais determinaram o transporte de umidade do oceano para atmosfera continental e por seguinte transformaram o balanço de energia local. Foram verificados três diferentes padrões territoriais, em todos eles os padrões de uso do solo ligados a comércio e serviços, armazéns e indústrias que apresentaram índice de biomassa vegetal igual zero, obtiveram a melhor correlação espacial com o fenômeno. O cenário chamou atenção para a preservação e expansão do arboreto urbano, parques e unidades de conservação, visto que estes demonstraram ser a fonte para redução da temperatura da superfície urbana. / The Urban heat island in the city and metropolitan region of São Paulo has been studied by several authors in the areas of geography and Meteorology through the application of methodologies of empirical studies on the evaluation of the phenomenon. Our research presents a new methodology in the evaluation of the urban thermal field and the set of climatic and anthropogenic variables that influence it. To this end, the following hypothesis testing was conducted: the territorial dynamics of the urban heat island corresponds to the interactions between synoptic conditions, use and coverage of the soil and energy balance. Additionally, among several other specific objectives, the study was also preoccupied with the evaluation of the thermal field of public parks. For such purpose we applied the descriptive method, followed by the comparative method and descriptive integrated analysis, combined with a symbiosis between applications of remote sensing and GIS techniques. A total of nine satellite images Landsat-5 TM sensor in the period from 2007 to 2011 were used on thermal imaging, these were later vectorized and superimposed on official standards of land use. Other than that, vegetation index, air photographs, letters and synoptic bulletins and field data related to air temperature, relative humidity, precipitation, wind direction and speed, global solar radiation and evaporation were also adopted. The model SEBAL (Surface Energy Balance Algorithms for Land) was applied to three thematic mapper images Landsat-5 from different dates; through these images were generated albedo maps from the surface, the surface radiation balance, sensible and latent heat flux. The results proved the hypothesis true, the conformation and territorial dynamics of the urban heat island corresponded to different conditions of synoptic climates, which determined the humidity transportation from the ocean into continental atmosphere and, consequently, transformed the balance of local energy. Three different territorial patterns were investigated; in all of them the land use patterns linked to trade and services, warehouses and industries that showed the index of plant biomass equal zero obtained the best spatial correlation with the phenomenon. The scenario drew attention to the preservation and expansion of the urban arboretum, parks and protected areas since these proved to be the source for the development of thermal environmental urban quality.

En matière de consommation énergétique mondiale, l'augmentation est indiscutablement la tendance actuelle. Conformément au contexte énergétique international, l'île de La Réunion doit faire face à une demande énergétique croissante. Après analyse de la répartition de ces besoins, la régulation thermique du bâti apparaît être l'un des postes les plus énergivores. Afin de réduire l'importance de ce poste, la solution présentement proposée consiste a végétaliser la structure afin d'en réduire la surchauffe. Le présent article est une introduction vulgarisée au domaine des parois complexes végétalisées (PCV). Afin d'accréditer cette prétention, la notion de toiture végétalisée, leurs utilisations, ainsi que les différentes modifications quelles induisent y sont définies. L'illustration des propos est permise par l'application d'un cas d'étude concret, celui d'une utilisation sur l'île de La Réunion. Cette dernière permettant de définir divers impacts du système dans ces conditions. / The aim of this article is to present a vulgarized introduction to the vegetated complex partitions field, called VCP. To reach this goal, the green roof notions, their uses and implications are defined. The theory is illustrated by a Reunion Island case study, which allows to list several impacts of the green walls utilization.

Built-up areas represent an artifiial impait to natural environment with large spatial variability and speiifi meihaniit radiationt thermal and ihemiial properties. Despite of inireasing horizontal resolution of numeriial weather prediition modelst the impait of loial built-up area on mesosynoptiv weather phenomena is still not well resolved. Therefore it is neiessary to use some of urban environment modelst whiih were designed to parameterize speiifi urban prosiessest not expliiitly resolved inside the grid box. In the thesis main urban iharaiteristiis are explained (impait on the struiture of boundary layert radiation and heat balanie of urban environment or urban heat island)t basii priniiples of urbanization appliiation in the numeriial weather model are desiribedt as well as different urban parameterizations available in numeriial model WRFe (Weather Reseaih and Feoreiasting). Number of validation experiments were performed for summer and winter episode in non-hydrostatii mode at 3t3 km resolutiont where different urban parametrizationst antropogenii heat adjustment and impait of mosaii land-use were tested. April 2018 Prague weather foreiast was verifiated in ionsideration of urban heat island.

Urbanization modifies the thermal characteristics of the land and makes way for a succession of transformations in the urban environmental system. This phenomenon, known as Urban Heat Island (UHI), is characterized by elevated temperatures in urban areas that negatively impact on the quality of life and environment in urban areas including, increased emissions of Green House Gases (GHGs) and rising energy consumption. These impacts add to global climate change and thus, mitigating UHI is essential to mitigating global climate change. One GHG, Carbon Dioxide (CO2), accounts for about half of the Earth’s anthropogenic GHG emissions. Terrestrial ecosystems can act as Carbon sinks (C sinks), i.e. natural vegetation reservoirs that absorb more C than they release. Thus, C sinks play an essential and critical function in lowering CO2. Furthermore, providing appropriate C sinks at both the building and urban scales can decrease UHI and contribute to reduction in energy consumption. This study used Landsat 8 imagery of the site, Al Bayt Stadium in Qatar, to investigate the effects of surface UHI by computing the Land Surface Temperature (LST) difference of the site---pre- and post-construction, as well as examine the correlation between natural vegetation abundance and temperature in ten locations within the site’s vicinity. Results show that minimum, maximum and mean LST of the case study area (2014 vs. 2020) decreased 2.80 oC, 5.5 oC and 2.3 oC, respectively, as well as a decreasing trend in the LST as a function of increasing C Sinks. These results demonstrate the importance of introducing C sinks to lower LST and mitigate UHI. Mitigating UHI also has a direct effect on Energy Consumption Balance (ECB). This equilibrium is achieved not only through the introduction of C sinks, but balancing C sinks with high albedo materials and natural ventilation.  Thus, this study also investigated the site’s various design aspects (e.g. cooling technology, structure and surface albedo materials, landscaping) and found that Al Bayt Stadium’s design successfully incorporates strategies to reduce energy consumption at both the urban (macro) and building (micro) scales.

In this study eddy covariance was used to measure sensible heat, latent heat, and carbon dioxide fluxes for the months of August, September, and October of 2009 within the roughness sublayer (RSL) of the urban center of Portland, OR. Vehicle traffic and solar radiation were also measured for the month of October. Flux measurements were compared with measurements from other urban areas as a test of reasonableness. CO₂ fluxes were nearly always positive and were strongly correlated with the weekday diurnal traffic cycle. CO₂ fluxes averaged 6.6 μmol/m^²s, which is less than other published measurements in urban areas. Sensible and latent heat fluxes followed the expected diurnal profile associated with solar radiation. Average sensible heat flux decreased as the season changed from summer to fall, moving from an average of 39 W/m^² in August to 12 W/m^² in October. A corresponding increase in latent heat flux was observed during this period, changing from an average of 10 W/m^² in August to 17 W/m^² in October. Heat flux behavior and amplitude was consistent with other urban measurements, though amplitude varies considerably from city to city. Stationarity was shown to positively influence measured CO₂ fluxes, but to have little effect on measured heat fluxes. Preliminary comparisons of October sensible heat and CO₂ fluxes to an inventory-based estimate of vehicle emissions indicate that eddy covariance measurements underestimate the true fluxes by 50%.