Примена и процена класификационог система локалних климатских зона помоћу аутоматизованог mодела и биоклиматских анализа / Application and evaluation of classification system of Local climate zones using automatic model and bioclimate analysis

The topic of the doctoral dissertation is the application and assessment of the 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 mapping and defining LCZs in Novi Sad and its surroundings by delineating 13 LCZs using 7 parameters of the city surface. In addition, in the framework of the dissertation, is developed new model for cleaning the database. The obtained results indicated that the most pronounced differences in mean air temperature (Tsr) occur between LCZs at night during a heat wave and are up to 5.5 ° C (LCZ2-A, the difference between urban compact midrise and dense forests). At annual level, the difference in Tsr is 1.7 °C between the city and the natural environment, and 0.7 °C within different city LCZs. Statistical analysis of mean maximum and absolute maximum air temperatures at annual, seasonal and monthly levels did not show significant differences between LCZs. The frequency of occurrence of temperature indexes indicated that the so-called "cold indices" (cold days, ice days) indicate the temperature specificity of LCZs in Novi Sad, while this is not evident from the analysis of so-called "warm indices" (summer days, tropical days), except for tropical nights. By analyzing the relative humidity of the air it was noticed that there are significant differences between the built-up and natural LCZs, while this is not the case between built-up LCZs. In Novi Sad there is recognized so-called "Urban dryness island" at night during a heat wave period when a compact midrise LCZ 2 is characterized with a maximum humidity deficit of about 33% compared to the natural LCZ A outside the city. Statistical analysis of the values of calculated bioclimatic indexes PET and UTCI indicated that LCZs differ in the conditions of the outdoor thermal comfort of population at annual, seasonal and monthly levels as well as during heat and cold waves (up to a maximum of 8-9 ° C differences). The results also indicated that the LCZ classification system is adequate for inter-urban analysis of the city climate (comparsions between cities).