Climatology
mehdi asadi; Ali Mohammad Khorshiddoust
Volume 23, Issue 70 , March 2020, , Pages 101-122
Abstract
Limited fossil energy source and increase of energy use is always pushed man to replace the energy source. In this case the winds have always had a special place in the new generation of energy sources. East Azarbaijan province because of the topographical and relativity situation is one of the best ...
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Limited fossil energy source and increase of energy use is always pushed man to replace the energy source. In this case the winds have always had a special place in the new generation of energy sources. East Azarbaijan province because of the topographical and relativity situation is one of the best places for building a wind farm. therefore this research have been done to find out the best places for building wind farms in East Azarbaijan province, to find this places different criteria and sub criteria have been used. Given the importance of information fusion, analytic hierarchy process (AHP) were selected for weighting the layers and were implemented by the help of Expert choice software. For special analyses and overlapping of layers the Arc GIS program have been used and after the analysis of information, according to the capacity of building wind farms, province of East Azarbaijan have been divided to four parts, great, good, normal, weak. At last, final conclusions represent that Geographic Information System as a Supportive Decision making system can be practical both in preparing of data and designing the priorities and expert's ideas dealing with different factors and also help the designers to select the proper location to found the wind farms. In this research,15 regions have been determined, considering priority of, overlay, limitation of land and places, survey of priority area, climate condition and personal observation have been determined that in sequence this places are Tabriz, Sahand, Osko, Azarshahr, Bostanabad, Shabestar, Jolfa, Haris, Miyane, Bonab, Marageh, Sarab, Ahar, Charayomagh and Hashtrod.
Saeed Jahahnbakhsh Asl; Hamid Mirhashemi; Masoomeh Tadayyon
Volume 19, Issue 51 , April 2015, , Pages 107-125
Abstract
In this study to identify the synoptic patterns causing heavy rainfall in East Azarbaijan province used with Environment- circulation pattern. Thus, beginning with the use of statistical methods limit type with return periods of ten-thousand-year, precipitation index for the 9 synoptic stations and climatology ...
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In this study to identify the synoptic patterns causing heavy rainfall in East Azarbaijan province used with Environment- circulation pattern. Thus, beginning with the use of statistical methods limit type with return periods of ten-thousand-year, precipitation index for the 9 synoptic stations and climatology located at the province was determined and finally 25 days was analyzed as day's high Heavy. The clustering of the 1000 hPa geopotential height level these days, were identified three patterns of spring cyclone, deformation and winter cyclone as the creator of this precipitation patterns. Synoptic analysis of this patterns showed that the low pressure at polar latitudes move to down and troughs on the Mediterranean and the Middle East that it has spread. Next to the tropical high pressure and subsequent ridge are moved to higher latitudes. There are conditions in the planetary patterns, increased temperature and pressure gradient zonal and meridional circulation of establishing Cut-off low and blocking high system is in the region. Research area within the affected system has been up and down simultaneously. Thermodynamic analysis using data from the radio station of Tabriz probe showed that the potential instability in the event of heavy rain on the atmospheric vertical profile has prevailed. In fact, because the study area in this period of low and high latitudes is dominated systems and the systems at different height levels of temperature and humidity differences are great together, a stratification of temperature, moisture in the atmosphere will be created and established conditions of potential instability
