Alireza Entezari; Hamzeh Ahmadi; Mokhtar Karmi; Taleb Ahmadi
Abstract
One of the uses of climate in the environmental planning is recognizing the bioclimatic potentials of different regions. In this research, bioclimatic condition inIslam Abade-Gharb City analyzed based on monthly scale climatic data and bioclimatic indices, Beaker, Terjung, Stress, Chilling and Olgay. ...
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One of the uses of climate in the environmental planning is recognizing the bioclimatic potentials of different regions. In this research, bioclimatic condition inIslam Abade-Gharb City analyzed based on monthly scale climatic data and bioclimatic indices, Beaker, Terjung, Stress, Chilling and Olgay. The cooling and heating requirements in Islam Abade-Gharb city specified by using of daily temperature data and active growth degree days (GDD) method in different thermal thresholds. The results show that, the months of April, May, October and November have comfort bioclimatic and December, January February and March months due to chill stress and June, July, August and September due to heat stress are out of comfort zone. The results of Terjung, Olgay and Chilling indices are more consistent with the climate conditions of the region. Based on the threshold of 10 °C, the thermal potential of the study area from mid-June to end of September reaches to the highest level, In this time period, human bioclimatic is out of the comfort zone and cooling requirements are necessary for adjust of temperature. With respect to the location of this city in semi-cold climate, and the necessity of 207 cooling degree days and 2273 heating degree days, the needs for planning of climate design in order to reduction of energy consumption is necessary.The highest deviation from the optimal thermal conditions occurs from November to December, which necessitate the use of heating to adjust the temperature.The results of this study are important in terms of optimization of energy consumption and the management of heating and cooling systems in residential areas.
Climatology
Gholam abbas Fallah Ghalhari; Mehdi Asadi; Alireza Entezari
Volume 19, Issue 54 , February 2016, , Pages 235-251
Abstract
Climate classification and identifying the most effective factors and elements of each area is one way of understanding identity of the climate zones. Therefore, to identify Guilan climate mapping new methods such as factor analysis and hierarchical cluster were performed. For this, we used 20 climate ...
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Climate classification and identifying the most effective factors and elements of each area is one way of understanding identity of the climate zones. Therefore, to identify Guilan climate mapping new methods such as factor analysis and hierarchical cluster were performed. For this, we used 20 climate variables of the 16weather stations in the study area. Then, using interpolation method, a matrix with dimensions of 20×106 data was obtained. Climate mapping of the province with factor analysis showed that the climate of the province is made up of two factors. These two factors are: humid-rain–wind and temperature–cloudy factors. Results also indicated that these two factors explain 99.44 percent of the variance of the primary variables. The contribution of each factor was 64.49, 34.95 percent respectively. Finally, cluster analysis on two climatic factors identified three climatic regions in the provinces. These three regions are: moderate and humid, mountainous, semi humid and cold.
