فهرست مطالب f. azimi

In this paper the impact of climate change on southern Caspian Sea (CS) building energy demand was investigated by means of the degree-days method. Estimate heating degree-days (HDD) and cooling degree-days (CDD) from annual and seasonal simulated temperature data are required. To this end, data were received from EH5OM, the website of the Abdus Salam International Theoretical Physics Center (Italy). These data were run from 2015 to 2050 under A1 B scenario by the Intergovernmental Panel on Climate Change. For downscaling purposes, the fourth version of RegCM4 was used Heating and cooling degree-day with 18.3°C and 23.9°C temperature thresholds were calculated and then sum of annual and seasonal means of degree- day were obtained. The Results show that, at the northwestern corner of the Golestan province parts, the maximum temperature is observed; while in the southern parts of the Gilan and Mazandaran province minimum is recorded. Also a strong inverse relationship between temperature and elevation is observed. The lowest Annual energy consumption for Cooling would take place in the south Gilan province and so west and south Mazandaran province; while the highest energy consumption would be observed in the regions have low elevation, such as the northeastern Golestan province. The CDD values are negatively related to elevation and positively related to longitude and latitude.

The thermal remote sensing is a branch of remote sensing which discusses about processes and interpretation of data in thermal infrared (TIR) of electromagnetic spectrum. The main of the research is to present a method measuring the surface temperature of Ahvaz city using thermal images. To achieve the aim, after pre-process operations on images and geometric correction, the supervise classification method was used to determine the land use types. The sixth band of ETM+ was used to determine the surface temperature. After exerting the relevant relationships and corrections to the kind of land use, the thermal map was produced dividing into five qualitative temperature levels. The results of the research showed that the 8th municipality area in Ahvaz by 39 o C was distinguished with the highest surface temperature because of the existence of magnificent steel factories of khoozestan. Accordingly, the 5th area where are known with most green space among the total municipality areas, by 32.7 o C was considered with the lowest temperature. Applying land use temperature, it is distinguished that the water and green land classes with 24.3 o C and 30.1 o C have the lowest and the industrial and unutilized land classes with 39.6 o C and 38.1 o C have the highest surface temperature, respectively. This research indicated a direct relationship between land use and surface temperature.