aref shahi aqbelaghi

Urbanization and urban growth have a significant impact on the natural and human environment as well as the climate at local and regional scales. For instance, the difference in the energy balance of the central and peripheral regions of cities stems from their physical characteristics and surface land cover. These characteristics in the temperate regions create the phenomenon of urban heat island, but they cause the phenomenon of the urban cold island in arid and semi-arid areas. The purpose of this study was to analyze the impacts of land-surface characteristics, land cover, built-up areas, and morphological characteristics on temperature changes in Zanjan city, Iran.

The dataset used in this study included Landsat-5 TM sensor images in 2010 and 2011 as well as statistical information at the level of building blocks. The methodology used in this study was to investigate the effects of different land covers on surface temperature. Then, to demonstrate the effects of built-up areas on surface temperature, the IBI method and Otsu threshold were used. To investigate the effects of the configuration of built-up areas on land surface temperature variations, landscape metrics such as Landscape Division Index, Fractal Dimension Index, and Percent cover of class areas were used. Finally, urban morphology has been investigated using Plot size (PS).

The results of this research showed that among all seasons, the stronger cold island was detected in summer. Moreover, the results also showed that the cold island was much better presented in summer than other seasons. The scatter plots between the land surface temperature (LST) on one hand, and the built-up area as well as the vegetation land cover, on the other hand, illustrated indirect correlations where higher Pearson correlation coefficient was observed between LST and the built-up area (r = - 0.704). Among the landscape metrics, the highest positive correlation (r = 0.72) was observed between LST and the Landscape Division Index. Moreover, a high negative correlation was found between the characteristics of urban morphology or Plot size and the LST (r = - 0.73). The results of the Pearson correlation between land cover, configuration, and morphology characteristics and LST were quite significant (P≤0.01).

From this research, it can be concluded that the configuration and morphology characteristics can model surface temperature variations better than the land cover.

The quality of the urban environment as part of quality of life, the most important topics in the field of urban studies that rapid urban growth, the concentration of population and activities have been changed. Since the quality of the urban environment has two dimensions of objective and subjective. It is also objectively assessing both the environment and on people's perception of the urban environment is done. In this context, the aim of this paper is to evaluate the quality of urban environment Sabzevar housing is taking measures to diagnose and evaluate the factors impacting the quality of the urban environment. In this study, the method used is descriptive-analytic and in terms of purpose from the application-development method is used. In the first step, the method of data collection, library and documentary has been. In the second step after designing the questionnaires and calculated the statistical population (housing residents Sabzevar) through Cochran Formula 340 is predicted questionnaire. The questionnaires were completed through the field survey randomly. The research method of analysis, based on one sample T-test and multivariate regression and hierarchical has been analyzed. The results of the study show that the residents from the residential properties are satisfied. However, not satisfied the features of the urban environment. Quality of the urban environment, achieved from characterize of residential environment and urban environment, That the average 2.62 less than the theoretical mean (3) that shows the quality of the urban environment is low and people are not satisfied. Also, among the three indices of the urban environment, physical-spatial features is with beta coefficient of 0.735 importance from the social features with beta coefficient (0.732) and content features with beta coefficient (0.603). The final level analysis model of the urban environment with beta coefficient (1.014) more important relative to residential environment with beta coefficient (0.513) in the study area is the quality of the urban environment.