This study aimed to propose a way to utilize vulnerability assessment effectively in policy-making by conducting policy-related assessment of the thermal environment. For this purpose, a variety of indices concerning thermal vulnerability assessment were reviewed, and finally, 15 indices were selected. In addition, adaptation policies for climate change applied to Korean cities were synthesized and examined to establish policies for improving thermal environments which correspond to 15 indices. Finally, a framework consisting of five areas (improvement of the atmospheric environment, expansion of eco-friendly buildings, management of the surface, cool spot creation and revitalization of communities), 15 indices and 25 policies was proposed. As a result, 15 vulnerability maps based on the standardized indices and a comprehensive map with four classes were established for Daegu Metropolitan City in South Korea. Based on the maps, Guji-myeon and Ansim-1-dong were found to be the most vulnerable areas. Hence, the causes of the thermal environment vulnerability and the policies for improving urban thermal environment were analyzed in these two areas using the proposed framework. Guji-myeon was necessary to more actively implement policies regarding the improvement of the atmospheric environment, management of the surface, and revitalization of communities. To improve the thermal environment of Ansim-1-dong, active policy implementation was required in all five areas. The results of this study are expected to contribute to the effective establishment of thermal environment policies by policy-makers.

In this study, a simulation was conducted targeting Beomeo stream of Daegu, for the purpose of the quantitative determination of the changes in thermal environment of surrounding residential areas according to the urban river refurbishment. For the study method, the reviews of literature and model verification were conducted, and then the results were derived through the process of comparing and analyzing the thermal environment resulting from the river refurbishment of the target area. As a result of the model verification, the accuracy of modeling was 95%. As a result of a simulation of the target area, in respect of the fluctuation of temperature, the temperature decreased by 1.33˚C more in the daytime than in the night time, due to the river refurbishment. In respect of the positions, the decrease of the temperature was 1.33˚C at 2 pm at position 1, the position of river refurbishment, and the highest in the entire time slots. Also, the changes in temperature increasingly decreased from position 1 to position 4. It seemed that it was because there was the highest radiant heat at position 1 with the biggest gap between artificial mulching and natural mulching, and the effect of the gap in the radiant heat influenced successively over position 2, 3 and 4. Lastly, in respect of the effect of river refurbishment on the surrounding area, the effect reached to position 3, in other word, 60 meters from the river.

It is important to secure green spaces to solve the urban heat island phenomenon, which is among problems resulted by high-density developments in metropolitan areas. However, it is hard to secure such green spaces in established urban areas so Green Rooftop development approaches have recently been highlighted and introduced as a solution to the situation. The present study conducts a simulation on residential areas in urbanized regions to quantitatively evaluate the effects of green rooftop developments through a comparison of changes in the air temperatures before and after relevant development projects. According to the evaluation results, when the green roof top development is conducted in the available areas, the temperature is reduced by 0.14 degree. The extension of green project to the entire building showed the reduction of the temperature by 0.29 degree. Based on these results, it can be concluded that the green rooftop development is a practically solution for reducing the air temperature of urbanized areas.

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In this study, CO₂emission quantities by spatial characteristics using GIS were investigated for building a CO₂emission inventory. Eventually, this study provides the guidelines to build the urban spatial structure for reducing greenhouse gas and contributes to the transition to environmental friendly green city. The attribute data for