This study implemented a GIS-based analysis of local climate zones (LCZ) in Denton, TX with data sets from 2009, 2011, 2015, and 2016. The LCZ scheme enables evaluation of distinct regions' thermal characteristics with greater granularity than conventional urban-rural dichotomies. Further, the GIS-based approach to LCZ mapping allows use of high-resolution lidar data, the availability of which for the study area enabled estimation of geometric and surface cover parameters: height of roughness elements, sky-view factor, and building surface fraction. Pervious surface fraction was estimated from National Landcover Database impervious imagery. A regular grid was used to estimate per-cell mean values for each parameter, and with a decision-making algorithm (if/then statements) two maps were produced (2011 and 2015) and six LCZ identified in each: LCZ 6 (open low-rise), LCZ 8 (large low-rise), LCZ 9 (sparsely built), LCZ A (dense trees), LCZ B (scattered trees), and LCZ C (bush/scrub). Post-processing was carried out to ensure identified zones met the spatial minimum for qualification as LCZ. Landsat Collection 2 Level 2 surface temperature products from various seasons of 2011 and 2015 were acquired to examine LCZ thermal differentiability, and preliminary surface urban heat island intensity values were estimated. Particular attention was afforded to issues regarding data quality and classifier threshold adjustment.

The increasing urbanization of the greater Salt Lake City area (GSLA) has contributed to the development of an urban canopy over this area. This canopy refers to the effects of building profiles, varying land surface properties and anthropogenic heating on local meteorological conditions including temperature, humidity, and wind velocity. Urban Canopy Models (UCMs) can be used to represent these characteristics on a mesoscale without needing to develop models accounting for effects of individual buildings. One method used to classify urban areas are Local Climate Zones (LCZs), which assign different properties to different types of urban areas. A baseline model that represents current GSLA conditions was developed using a series of sensitivity studies, which focused on the effects of mesh resolution, land surface models, UCMs, anthropogenic heating rates and LCZ urban classifications. The baseline model was validated using measured meteorological data. Four urban growth scenarios were compared to this baseline model to evaluate the effects of future growth on local 2-meter air temperatures, 2-meter relative humidity, and 10-meter wind speed. Results showed increased urban density did not affect daytime temperatures within the GSLA, but did significantly increase local nighttime temperatures. The effects of anthropogenic heating rates were most noticeable during early nighttime hours. Also, increased urbanization affected local temperatures, but did not appear to have "downwind" effects on other areas. A User Guide documenting the modeling approach was developed to support additional studies.

Orientador: Margarete Cristiane de Costa Trindade Amorim / Resumo: Nesta pesquisa levantou-se a hipótese de que conhecer o campo térmico de Jundiaí e saber a forma e intensidade das ilhas de calor urbanas resulta em informações relevantes a serem inseridas nas ações de planejamento. Acredita-se ainda, que a utilização da metodologia das Zonas Climáticas Locais (LCZs) facilita a comparação dos resultados obtidos em Jundiaí com outras áreas urbanas, uma vez que esta proporciona a uniformização e padronização de terminologias referentes aos usos e ocupações da terra. Para tanto, o objetivo principal foi diagnosticar o campo térmico da cidade de Jundiaí/SP e elaborar uma análise síntese, apresentando as intensidades de ilhas de calor em relação às características de superfície. Para atingir os objetivos propostos as pesquisas de campo ocorreram através da instalação de 10 sensores fixos que registraram dados horários de temperatura entre abril e dezembro de 2017 e realizados 10 episódios de levantamento com medidas itinerantes em agosto e setembro do mesmo ano. Os dados fixos identificaram que a maior expressão das ilhas de calor esteve conectada com uma sequência de estabilidade atmosférica. As maiores intensidades das ilhas de calor foram registradas, predominantemente, nos meses com as menores precipitações totais (junho, julho, agosto e setembro), enquanto no ciclo diário, as maiores intensidades foram noturnas. Notou-se também que, predominantemente, as maiores intensidades estiveram relacionadas com LCZs características de áreas urbana, LC... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: In this research it was hypothesized that knowing the thermal field of Jundiaí and knowing the distribution and intensity of urban heat islands results in relevant information to be included in the planning actions. It is also believed that the use of the Local Climate Zones (LCZs) methodology facilitates the comparison of the results obtained in Jundiaí with other urban areas, since it provides the standardization and standardization of land use and occupation terminology. Therefore, the main objective was to diagnose the thermal field of the city of Jundiaí/SP and to elaborate a synthesis analysis, presenting the urban heat island intensities in relation to the surface characteristics. In order to achieve the proposed objectives, the field research was carried out by installing 10 fixed sensors that recorded hourly temperature data between April and December 2017 and carried out 10 episodes of itinerant survey in August and September of the same year. Data from fixed sensors identified that the highest expression of heat islands was connected with an atmospheric stability sequence. The highest intensities of the urban heat islands were predominantly recorded in the months with the lowest total of rainfall (June, July, August and September), while in the daily cycle the highest intensities were nocturnal. It was also noted that, predominantly, the highest intensities were related to LCZs characteristic of urban areas, LCZ 3, LCZ 3B, LCZ 34 and LCZ 7, all compact and with lit... (Complete abstract click electronic access below) / Doutor

Submitted by Ricardo Cedraz Duque Moliterno (ricardo.moliterno@uefs.br) on 2017-08-08T22:07:22Z No. of bitstreams: 1 dissertacao-versao-final.pdf: 2533927 bytes, checksum: e67082a909ebc3ec8a6260095b8ba929 (MD5) / Made available in DSpace on 2017-08-08T22:07:22Z (GMT). No. of bitstreams: 1 dissertacao-versao-final.pdf: 2533927 bytes, checksum: e67082a909ebc3ec8a6260095b8ba929 (MD5) Previous issue date: 2017-04-05 / The sustainability and the renewable energies are strongly discussed and their relevance in the global community should not be discarded, after all, natural resources are limited. The problems related to the misuse and exhaustion of these resources, besides the emission of gases, occurs mainly within the cities where the majority of the human activities are developed. For this reason, among others, the interest in monitoring climatic factors within cities is growing around the world. Our objective is to identify and classify Local Climate Zones in urban areas of Feira de Santana and propose a local scale sensing infrastructure. In order to achieve the proposed target, it was necessary to explore meteorological observation methods at urban sites; establish a raw data access service and an interface for end users; and to develop a meteorological station capable of measuring the investigated parameters representatively in the urban context. Of the existing methods for classification of urban sites, we used Local Climates Zones proposed by Stewart and Oke in a universe of thirty-five sites spread throughout the city of Feira de Santana. The procedure was carried out in three stages, where temperature and humidity data were first collected using the Arduino platform; in addition to observing and evaluating afforestation, buildings (types, height, spacing and material), types of surface, width of streets, traffic of vehicles and human activity. We adopted as parameter a radius of 500m for thermal source area. As result, we obtained the sites classification, constructed two tables and a map to expose the collected data and observations made identifying each site and its class. In order to fulfill the goal of developing a station adapted to the urban environment, we propose in this work the logical organization of a framework that defines the collection of data by automatic low-cost stations connected to the internet, and the visualization of this data by means of the 52? North SOS. For the construction of the prototype stations, we take into account the sensing of temperature and humidity only for demonstration of the framework, being possible to include more types of sensors in the future. The procedure adopted for the construction took into account the exposure criteria of the WMO temperature and humidity sensors, ensuring that the measured data are relevant to the urban climate. At the end of the application of this methodology, we reached a prototype that implements the proposed framework also using the Arduino platform. All generated source code was made available in a public repository under free software license. Analyzing the descriptions of the sites studied in this work, we noticed some characteristics that make up the city of Feira de Santana in general. As for the proportion of selected Local Climate Zones, the class that best represents Feira de Santana is the Compact low-rise (LCZ 3) evaluated in 40% of the studied sites. In addition, the spatial arrangement of the zones with this classification is very homogeneous in the sense of proximity and adjacencies. We have identified serious sanitation problems that are clearly observed in the absence of sewage and water drainage. The stations were originally developed by us following the guidelines of WMO and Oke, and we achieved a low cost construction using open hardware. / A sustentabilidade e as energias renov?veis s?o assuntos fortemente discutidos e sua relev?ncia na comunidade global n?o deve ser descartada, afinal os recursos naturais s?o limitados. Os problemas relacionados ao mau uso e esgotamento desses recursos, al?m da emiss?o de gases, ocorre principalmente dentro das cidades onde se desenvolvem a maioria das atividades humanas. Por esse motivo, entre outros, o interesse em monitorar fatores clim?ticos dentro das cidades est? crescendo em todo o mundo. Nosso objetivo ? identificar e classificar Zonas de Clima Local em s?tios urbanos de Feira de Santana e propor uma infraestrutura de sensoriamento em escala local. Para alcan?ar a meta proposta, foi necess?rio explorar m?todos de observa??o meteorol?gica em s?tios urbanos; estabelecer um servi?o de acesso aos dados brutos e uma interface para usu?rios finais; e desenvolver uma esta??o meteorol?gica capaz de mensurar os par?metros investigados de forma representativa no contexto urbano. Dos m?todos existentes para classifica??o de s?tios urbanos, utilizamos Zonas de Climas Locais proposto por Stewart e Oke em um universo de trinta e cinco s?tios espalhados pela cidade de Feira de Santana. O procedimento foi realizado em tr?s etapas onde primeiramente foram coletados dados de temperatura e umidade utilizando a plataforma Arduino; al?m de observar e avaliar arboriza??o, constru??es (tipos, altura, espa?amento e material), tipos de superf?cie, largura das ruas, tr?fego de ve?culos e atividade humana. Adotamos como par?metro um raio de 500m para ?rea de fonte t?rmica. Como resultado, obtivemos a classifica??o dos s?tios e constru?mos duas tabelas e um mapa para expor os dados coletados e observa??es realizadas identificando cada s?tio e sua referida classe. A fim de cumprir a meta de desenvolver uma esta??o adaptada para o ambiente urbano, propomos neste trabalho a organiza??o l?gica de um framework que define a coleta dos dados por esta??es autom?ticas de baixo custo conectadas ? internet, e a visualiza??o desses dados geoespacializados atrav?s do 52? North SOS. Para a constru??o do prot?tipo das esta??es levamos em considera??o a coleta de temperatura e umidade apenas para efeito de demonstra??o do framework, sendo poss?vel a inclus?o de mais tipos de sensores no futuro. O procedimento adotado para a constru??o das esta??es levou em considera??o os crit?rios de exposi??o dos sensores de temperatura e umidade da WMO garantindo que os dados medidos s?o relevantes para o clima urbano. Ao final da aplica??o desta metodologia, alcan?amos um prot?tipo que implementa o framework proposto tamb?m utilizando a plataforma Arduino. Todo c?digo-fonte gerado foi disponibilizado em reposit?rio p?blico sob licen?a de software livre. Analisando as descri??es dos s?tios estudados neste trabalho, percebemos algumas caracter?sticas que comp?em a cidade de Feira de Santana de forma geral. Quanto ? propor??o entre as Zonas de Clima Local elegidas, a classe que melhor representa Feira de Santana ? a compacta de baixa eleva??o (LCZ 3) avaliada em 40% dos locais estudados. Al?m disso a disposi??o espacial das zonas com esta classifica??o ? bem homog?nea no sentido de proximidade e adjac?ncias. Identificamos s?rios problemas de saneamento b?sico que s?o claramente observados na falta de esgotos e escoamento de ?gua. As esta??es de coleta foram originalmente desenvolvidas por n?s seguindo as diretrizes da WMO e Oke, e alcan?amos uma constru??o de baixo custo utilizando hardware aberto.

Submitted by SBI Biblioteca Digital (sbi.bibliotecadigital@puc-campinas.edu.br) on 2018-04-03T12:53:38Z No. of bitstreams: 1 VERONICA STEFANICHEN MONTEIRO.pdf: 12177421 bytes, checksum: 1f801451f00f5dd890b64a77c4c22daf (MD5) / Made available in DSpace on 2018-04-03T12:53:38Z (GMT). No. of bitstreams: 1 VERONICA STEFANICHEN MONTEIRO.pdf: 12177421 bytes, checksum: 1f801451f00f5dd890b64a77c4c22daf (MD5) Previous issue date: 2018-02-26 / CAPES / The investigation in terms of intensity and spatial and air temperature spatial patterns becomes relevant as the urbanization process has been changing soil occupancy patterns in the big cities associated to the different compositional variables of these surfaces. The present study aims to investigate the spatial distribution of air and surface temperature and patterns of land use and occupation in a study area in the city of Campinas - SP, Brazil. A study area was defined considering one of the axes of expansion of the city of Campinas (Center-North), which includes samplings of different patterns that characterize the use and the occupation of the soil of the municipality. The methodology used for this research was the data collection with mobile and fixed measures contemplating the winter season. The data collection was based on the classification methodology of the Local Climate Zones, which describes the urban form in 03 parameters: surface coverage, properties of building materials and surface geometry. The biggest heat gains in the transition of measured periods occur in areas with different characteristics. For the period from 09h to 15h, the LCZ 86 which has one of the highest indexes of permeable area (18.17%) and sky view factor above 0.80. In the period from 21h to 09h, the LCZ 31, which has the lowest percentage and permeable area (0.57%) and the largest of built area (58.06%). The results obtained evidenced a variation of the behavior of the climatic data collected between different local climatic zones characterized, being in the period of heating, reported the greater thermal amplitude, 2,10?C. / A investiga??o em termos de intensidade e padr?es de espacializa??o da temperatura do ar e superficial se faz relevante uma vez que o processo de urbaniza??o vem alterando os padr?es de ocupa??o do solo nas grandes cidades associados ?s diferentes vari?veis de composi??o destas superf?cies. O presente estudo tem como objetivo investigar a distribui??o espacial da temperatura do ar e superficial e dos padr?es de uso e ocupa??o do solo em uma ?rea de estudo no munic?pio de Campinas ? SP, Brasil. Foi definida uma ?rea de estudo considerando um dos eixos de expans?o da cidade de Campinas (Centro-Norte), que incluem amostragens de diferentes padr?es que caracterizam o uso e a ocupa??o do solo do munic?pio. A metodologia utilizada para esta pesquisa foi a coleta de dados com medidas m?veis e fixas contemplando a esta??o do inverno. O levantamento de dados foi baseado na metodologia de classifica??o das Zonas Clim?ticas Locais, que descreve a forma urbana em 03 crit?rios: cobertura da superf?cie, propriedades dos materiais de constru??o e geometria da superf?cie. Os maiores ganhos de calor na transi??o dos per?odos medidos se apresentam em ?reas com caracter?sticas distintas. Para o per?odo das 09h ?s 15h, a LCZ 86 a qual possui um dos maiores ?ndices de ?rea perme?vel (18,17%) e fator de vis?o do c?u acima de 0,80. No per?odo das 21h ?s 09h, a LCZ 31, que possui o menor percentual e ?rea perme?vel (0,57%) e o maior de ?rea edificada (58,06%). Por fim, os resultados obtidos evidenciaram uma varia??o do comportamento dos dados clim?ticos coletados entre diferentes Zonas Clim?ticas Locais caracterizadas, sendo no per?odo de aquecimento, relatada a maior amplitude t?rmica, 2,1?C.

Submitted by SBI Biblioteca Digital (sbi.bibliotecadigital@puc-campinas.edu.br) on 2019-03-18T17:37:56Z No. of bitstreams: 1 MARCELO REZENDE CAL?A SOEIRA.pdf: 10669454 bytes, checksum: 0c817cd4715977e2f4677644509e8516 (MD5) / Made available in DSpace on 2019-03-18T17:37:56Z (GMT). No. of bitstreams: 1 MARCELO REZENDE CAL?A SOEIRA.pdf: 10669454 bytes, checksum: 0c817cd4715977e2f4677644509e8516 (MD5) Previous issue date: 2019-01-28 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior - CAPES / The objective of this research was to estimate and compare the Sky View Factor (SVF) and Urban Heat Island Intensity (UHII) correlation across different Local Climate Zones (LCZs) situated in the city of Campinas, S?o Paulo, Brazil. The SVF consists of an non dimensional parameter which describes the ratio of visible sky from a given point in space. In the urban environment, SVF values are strongly related to buildings density and height. Also strongly related to the densification and verticalization of the urban tissue is the Urban Heat Island phenomenon, which is characterized by the elevation of air temperature in urban environments as a result of its impact on the surface energy balance. For this reason, research has been conducted in many countries to investigate the correlation between SVF and the UHII. To evaluate the effects of urban tissue composition on these correlations, however, systematic methods for detecting and reporting such composition are required. Employing the Local Climate Zones method, which classifies urban areas as climate zones according to their structural typology and surface cover, this research evaluated SVF-UHII correlation variations across different built up areas of the same city. Combining mobile measurements and stationary monitoring devices a map of the nocturnal UHII at the research site was obtained. According to seven parameters (H/W ratio; SVF; Built area; Permeable area; Impermeable area; Height of roughness elements; And roughness class), obtained by geoprocessing, eleven LCZs were identified at the site. Nocturnal UHII linear regressions were calculated for SVF values (point and 100m radius average values were used) at eight LCZs classes. At compact low, low-high, mid-low and high-mid rise LCZs (3, 31, 23 and 12), with SVF values between 0,20 and 0,45, the approximate air temperature increase ranged from 1,5 up to 2,2?C. At compact low and mid-low rise LCZs (3 and 23), with SVF values between 0,45 and 0,7, the approximate air temperature increase ranged from 0,7 up to 1,2?C. For sparsely built low rise LCZs (6), with SVF between 0,60 and 0,90, the approximate air temperature variation ranged from - 0,2 up to 0,0?C. From these results it was concluded that the correlation between SVF and UHII is influenced by the morphological and superficial composition of the urban tissue. Hence, to effectively utilize SVF in UHI mitigation strategies, these influences should be considered. / A presente pesquisa teve como objetivo estimar e comparar as correla??es entre o FVC e a varia??o da temperatura do ar encontradas em diferentes zonas clim?ticas situadas em um recorte da cidade de Campinas- SP. O fator de vis?o do c?u (FVC) ? um par?metro adimensional utilizado para descrever a propor??o de c?u vis?vel, em um determinado local, a partir do n?vel do solo. No ambiente urbano, seu valor est? fortemente relacionado ao grau de compacta??o e verticaliza??o da malha construtiva. Outro fen?meno relacionado ao grau de compacta??o e verticaliza??o da malha urbana ? o fen?meno da Ilha de Calor Urbana (ICU), caracterizado pela reten??o do calor absorvido no ambiente constru?do. Por este motivo, ? grande o n?mero de pesquisas que estudam a correla??o entre o FVC e o fen?meno da Ilha de Calor Urbana em diversas cidades do mundo. Atrav?s de m?todos sistem?ticos para o reconhecimento e documenta??o de heterogeneidades da malha urbana, como o m?todo das Zonas Clim?ticas Locais (LCZs), que classifica ?reas urbanas em zonas clim?ticas locais de acordo com sua tipologia construtiva e cobertura de superf?cies, tornou-se poss?vel avaliar a varia??o desta correla??o em um contexto intramunicipal. Atrav?s de campanhas de medi??es m?veis e de pontos fixos de monitoramento, a intensidade da ilha de calor urbana na ?rea de estudo foi avaliada. A ?rea de estudo foi classificada em onze LCZs de acordo com sete par?metros urban?sticos obtidos por geoprocessamento (rela??o altura-largura, FVC, ?rea edificada, ?rea imperme?vel, ?rea perme?vel, altura m?dia dos elementos de rugosidade e classe de rugosidade). Regress?es lineares foram estabelecidas entre a intensidade da ICU ?s 21:00 e valores de FVC (pontuais e m?dios para um raio de 100m) em ?reas de an?lise correspondentes a oito LCZs. Para valores de FVC entre 0,20 e 0,45, a eleva??o aproximada da temperatura do ar em LCZs de arranjo compacto e verticaliza??o baixa a m?dia-alta ? 1,5 a 2,2 ?C; para valores de FVC entre 0,45 e 0,7 em LCZs de arranjo compacto e verticaliza??o baixa e m?dia-baixa, a eleva??o aproximada da temperatura do ar foi de 0,7 a 1,5 ?C; e para valores de FVC entre 0,60 e 0,90 em LCZs de arranjo esparso e verticaliza??o baixa, a varia??o aproximada da temperatura do ar foi de 0,0 a -0,2 ?C. Assim, conclui-se que a influ?ncia do FVC na eleva??o da temperatura do ar em ?reas urbanizadas varia conforme a composi??o morfol?gica e superficial do tecido urbano. Para que o FVC seja utilizado efetivamente em estrat?gias de mitiga??o da ICU, essa rela??o deve ser considerada.

<p>Тема&nbsp; докторске&nbsp; дисертације&nbsp; је&nbsp; примена&nbsp; и&nbsp; процена&nbsp; класификационог&nbsp; система&nbsp; локалних климатских&nbsp; зона&nbsp; (ЛКЗ)&nbsp; помоћу&nbsp; аутоматизованог&nbsp; модела&nbsp; и&nbsp; биоклиматских&nbsp; анализа&nbsp; на примеру&nbsp; Новог&nbsp; Сада&nbsp; (Србија).&nbsp; Развијени&nbsp; ГИС&nbsp; модел&nbsp; се&nbsp; показао&nbsp; као&nbsp; адекватан&nbsp; за мапирање и дефинисање&nbsp; ЛКЗ у Новом Саду и његовој околини издвојивши чак 13 ЛКЗ употребом 7&nbsp; параметара градске површине.&nbsp; Осим тога,&nbsp; у&nbsp; оквиру дисертације је приказан и развијен нов модел за чишћење базе података. Добијени&nbsp; резултати&nbsp; су&nbsp; указали&nbsp; да&nbsp; се&nbsp; најизраженије&nbsp; разлике&nbsp; у&nbsp; средњој температури&nbsp; ваздуха&nbsp; (Т_ср)&nbsp; јављају&nbsp; између&nbsp; локалних&nbsp; климатских&nbsp; зона&nbsp; (ЛКЗ)&nbsp; ноћу&nbsp; током топлотног таласа и износе до 5,5 &deg;C (ЛКЗ_2-А, разлика између урбане збијене средњеградње и густе шуме изван града). На годишњем нивоу разлике у Т_ср износе 1,7 &deg;C између града и<br />природне&nbsp; околине,&nbsp; односно&nbsp; 0,7&nbsp; &deg;C&nbsp; унутар&nbsp; различитих&nbsp; градских&nbsp; ЛКЗ.&nbsp; Статистичком анализом&nbsp; средњих&nbsp; максималних&nbsp; и&nbsp; апсолутно&nbsp; максималних&nbsp; температура&nbsp; ваздуха&nbsp; на годишњем,&nbsp; сезонском&nbsp; и&nbsp; месечном&nbsp; нивоу&nbsp; нису&nbsp; уочене&nbsp; знатне&nbsp; разлике&nbsp; између&nbsp; ЛКЗ. Учесталост&nbsp; појаве&nbsp; температурних&nbsp; индекса&nbsp; је&nbsp; указала&nbsp; да&nbsp; тзв.&nbsp; &bdquo;хладни&nbsp; индекси&ldquo;&nbsp; (мразни дани,&nbsp; ледени&nbsp; дани)&nbsp; указују&nbsp; на&nbsp; температурне&nbsp; специфичности&nbsp; ЛКЗ&nbsp; у&nbsp; Новом&nbsp; Саду,&nbsp; док&nbsp; то није&nbsp; евидентно&nbsp; анализом&nbsp; тзв.&nbsp; &bdquo;топлих&nbsp; индекса&ldquo;&nbsp; (летњи&nbsp; дани,&nbsp; тропски&nbsp;&nbsp; дани),&nbsp; изузев тропских&nbsp; ноћи.&nbsp; Анализом&nbsp; релативне&nbsp; влажности&nbsp; ваздуха&nbsp; је&nbsp; уочено&nbsp; да&nbsp; постоје&nbsp; знатне разлике између изграђених и природних ЛКЗ, док то није случај између изг рађених ЛКЗ. У Новом Саду се јавља тзв. &bdquo;урбано&nbsp; острво сувоће&ldquo; ноћу током топлотног таласа када је збијена средњеградња (ЛКЗ 2)&nbsp; окарактерисана са максималним дефицитом влажности од око&nbsp; 33%&nbsp; у&nbsp; односу&nbsp; на&nbsp; природну&nbsp; ЛКЗ&nbsp; А&nbsp; изван&nbsp; града.&nbsp; Статистичка&nbsp; анализа&nbsp; вредности израчунатих&nbsp; биоклиматских&nbsp; индекса&nbsp; PET&nbsp; и&nbsp; UTCI&nbsp; је&nbsp; указала&nbsp; да&nbsp; се&nbsp; ЛКЗ&nbsp; разликују&nbsp; у&nbsp; условима&nbsp; спољњег&nbsp; термалног&nbsp; комфора&nbsp; човека&nbsp; на&nbsp; годишњем,&nbsp; сезонском&nbsp; и&nbsp; месечном нивоу,&nbsp; као&nbsp; и&nbsp; током&nbsp; топлотног&nbsp; и&nbsp; хладног&nbsp; таласа&nbsp; (до&nbsp; максималних&nbsp; 8-9&nbsp; &deg;C).&nbsp; Такође&nbsp; су резултати указали&nbsp; да је класификациони систем&nbsp; ЛКЗ адекватан за интер-урбану анализу градске климе (поређења између градова).</p> / <p>Tema&nbsp; doktorske&nbsp; disertacije&nbsp; je&nbsp; primena&nbsp; i&nbsp; procena&nbsp; klasifikacionog&nbsp; sistema&nbsp; lokalnih klimatskih&nbsp; zona&nbsp; (LKZ)&nbsp; pomoću&nbsp; automatizovanog&nbsp; modela&nbsp; i&nbsp; bioklimatskih&nbsp; analiza&nbsp; na primeru&nbsp; Novog&nbsp; Sada&nbsp; (Srbija).&nbsp; Razvijeni&nbsp; GIS&nbsp; model&nbsp; se&nbsp; pokazao&nbsp; kao&nbsp; adekvatan&nbsp; za mapiranje i definisanje&nbsp; LKZ u Novom Sadu i njegovoj okolini izdvojivši čak 13 LKZ upotrebom 7&nbsp; parametara gradske površine.&nbsp; Osim toga,&nbsp; u&nbsp; okviru disertacije je prikazan i razvijen nov model za čišćenje baze podataka. Dobijeni&nbsp; rezultati&nbsp; su&nbsp; ukazali&nbsp; da&nbsp; se&nbsp; najizraženije&nbsp; razlike&nbsp; u&nbsp; srednjoj temperaturi&nbsp; vazduha&nbsp; (T_sr)&nbsp; javljaju&nbsp; između&nbsp; lokalnih&nbsp; klimatskih&nbsp; zona&nbsp; (LKZ)&nbsp; noću&nbsp; tokom toplotnog talasa i iznose do 5,5 &deg;C (LKZ_2-A, razlika između urbane zbijene srednjegradnje i guste šume izvan grada). Na godišnjem nivou razlike u T_sr iznose 1,7 &deg;C između grada i<br />prirodne&nbsp; okoline,&nbsp; odnosno&nbsp; 0,7&nbsp; &deg;C&nbsp; unutar&nbsp; različitih&nbsp; gradskih&nbsp; LKZ.&nbsp; Statističkom analizom&nbsp; srednjih&nbsp; maksimalnih&nbsp; i&nbsp; apsolutno&nbsp; maksimalnih&nbsp; temperatura&nbsp; vazduha&nbsp; na godišnjem,&nbsp; sezonskom&nbsp; i&nbsp; mesečnom&nbsp; nivou&nbsp; nisu&nbsp; uočene&nbsp; znatne&nbsp; razlike&nbsp; između&nbsp; LKZ. Učestalost&nbsp; pojave&nbsp; temperaturnih&nbsp; indeksa&nbsp; je&nbsp; ukazala&nbsp; da&nbsp; tzv.&nbsp; &bdquo;hladni&nbsp; indeksi&ldquo;&nbsp; (mrazni dani,&nbsp; ledeni&nbsp; dani)&nbsp; ukazuju&nbsp; na&nbsp; temperaturne&nbsp; specifičnosti&nbsp; LKZ&nbsp; u&nbsp; Novom&nbsp; Sadu,&nbsp; dok&nbsp; to nije&nbsp; evidentno&nbsp; analizom&nbsp; tzv.&nbsp; &bdquo;toplih&nbsp; indeksa&ldquo;&nbsp; (letnji&nbsp; dani,&nbsp; tropski&nbsp;&nbsp; dani),&nbsp; izuzev tropskih&nbsp; noći.&nbsp; Analizom&nbsp; relativne&nbsp; vlažnosti&nbsp; vazduha&nbsp; je&nbsp; uočeno&nbsp; da&nbsp; postoje&nbsp; znatne razlike između izgrađenih i prirodnih LKZ, dok to nije slučaj između izg rađenih LKZ. U Novom Sadu se javlja tzv. &bdquo;urbano&nbsp; ostrvo suvoće&ldquo; noću tokom toplotnog talasa kada je zbijena srednjegradnja (LKZ 2)&nbsp; okarakterisana sa maksimalnim deficitom vlažnosti od oko&nbsp; 33%&nbsp; u&nbsp; odnosu&nbsp; na&nbsp; prirodnu&nbsp; LKZ&nbsp; A&nbsp; izvan&nbsp; grada.&nbsp; Statistička&nbsp; analiza&nbsp; vrednosti izračunatih&nbsp; bioklimatskih&nbsp; indeksa&nbsp; PET&nbsp; i&nbsp; UTCI&nbsp; je&nbsp; ukazala&nbsp; da&nbsp; se&nbsp; LKZ&nbsp; razlikuju&nbsp; u&nbsp; uslovima&nbsp; spoljnjeg&nbsp; termalnog&nbsp; komfora&nbsp; čoveka&nbsp; na&nbsp; godišnjem,&nbsp; sezonskom&nbsp; i&nbsp; mesečnom nivou,&nbsp; kao&nbsp; i&nbsp; tokom&nbsp; toplotnog&nbsp; i&nbsp; hladnog&nbsp; talasa&nbsp; (do&nbsp; maksimalnih&nbsp; 8-9&nbsp; &deg;C).&nbsp; Takođe&nbsp; su rezultati ukazali&nbsp; da je klasifikacioni sistem&nbsp; LKZ adekvatan za inter-urbanu analizu gradske klime (poređenja između gradova).</p> / <p>The&nbsp; topic&nbsp; of&nbsp; the&nbsp; doctoral&nbsp; dissertation&nbsp; is&nbsp; the&nbsp; application&nbsp; and&nbsp; assessment&nbsp; of&nbsp; the&nbsp; classification system of local climate zones (LCZ) using the automated model and bioclimatic analysis on the example of Novi Sad (Serbia). The developed GIS model proved to be adequate for&nbsp; mapping and defining LCZs&nbsp; in Novi Sad and its surroundings by&nbsp; delineating&nbsp; 13 LCZs&nbsp; using 7 parameters of the city surface. In addition, in the&nbsp; framework of the dissertation, is&nbsp; developed new&nbsp; model for cleaning the database. The&nbsp; obtained&nbsp; results&nbsp; indicated&nbsp; that&nbsp; the&nbsp; most&nbsp; pronounced&nbsp; differences&nbsp; in&nbsp; mean&nbsp; air temperature (T_sr) occur between LCZs at night during a heat wave and are up to 5.5 &deg; C (LCZ_2-A, the difference between urban compact midrise and dense forests). At annual level, the difference in&nbsp; T_sr&nbsp; is 1.7 &deg;C between the city and the&nbsp; natural environment, and 0.7 &deg;C within different city LCZs. Statistical analysis of mean maximum and absolute maximum air temperatures at&nbsp; annual, seasonal and monthly levels did not show significant differences between&nbsp; LCZs. The frequency of occurrence of temperature indexes indicated that the so-called &quot;cold indices&quot; (cold days, ice days) indicate the temperature specificity of&nbsp; LCZs&nbsp; in Novi&nbsp; Sad, while this is not evident from the&nbsp; analysis&nbsp; of&nbsp; so-called&nbsp; &quot;warm&nbsp; indices&quot;&nbsp; (summer&nbsp; days,&nbsp; tropical&nbsp; days),&nbsp; except&nbsp; for&nbsp; tropical nights.&nbsp; By&nbsp; analyzing&nbsp; the&nbsp; relative&nbsp; humidity&nbsp; of&nbsp; the&nbsp; air&nbsp; it&nbsp; was&nbsp; noticed&nbsp; that&nbsp; there&nbsp; are&nbsp; significant differences between the built-up&nbsp; and natural&nbsp; LCZs, while this is not the case between built-up LCZs. In Novi Sad there is&nbsp; recognized so-called&nbsp; &quot;Urban dryness&nbsp; island&quot; at night during a heat wave period&nbsp; when a compact midrise LCZ 2&nbsp; is characterized with a maximum humidity deficit of about&nbsp; 33% compared to the natural&nbsp; LCZ&nbsp; A outside the city. Statistical analysis of the values of calculated bioclimatic indexes&nbsp; PET and UTCI indicated that&nbsp; LCZs&nbsp; differ in the conditions of the&nbsp; outdoor&nbsp; thermal&nbsp; comfort&nbsp; of&nbsp; population&nbsp; at&nbsp; annual,&nbsp; seasonal&nbsp; and&nbsp; monthly&nbsp; levels&nbsp; as&nbsp; well&nbsp; as during heat and cold waves (up to a maximum of 8-9 &deg; C differences). The results also indicated<br />that&nbsp; the&nbsp; LCZ&nbsp; classification&nbsp; system&nbsp; is&nbsp; adequate&nbsp; for&nbsp; inter-urban&nbsp; analysis&nbsp; of&nbsp; the&nbsp; city&nbsp; climate (comparsions between cities).</p>