spatial analysis for production of climate classification maps, west part of urmia lake

introductionin the modern era of communication, by increasing population the resources would be relativelyscarce. therefore, in order to deal with environmental serious problems and complex humanclimaterelationship in all dimensions of spatiotemporal and land use planning and programmingpractices, the climatic zone map was a sustainable developmental tool in the study area.methodologythe climate zones are recognized by investigating the analysis of various climatic factors,different empirical methods and spatial and nonspatial quantitative methods. the naturalenvironmental areas have differential climate zones. accordingly, different climate zones ofiran especially climate factors and local variables are neither studied nor recognized. hence, themain purpose of the present study is to produce climate zones map of west part of urmia lakeby the simultaneous analysis of spatial and nonspatial climate data. west area of lake urmia isstudied in the present paper as a region of environmental problems; it is the main part of urmiatownship that contains urmia city. this is the largest and capital city of west azerbaijanprovince. various climate factors whether of local or global influences affect formation ofclimate types in the area. inherent factors are (or genetical) global wind systems like westerlies,polar cell systems and complex local natural circumstances, vegetation cover, superficial waterresources, elevation, geomorphology and topographic conditions, geographical directions, andgeographical latitude and longitude. climate producer factors have different properties.accordingly, analyses of the obtained data are very difficult, so the spatial analysis methods areproposed as powerful tools for simultaneous analysis of the different data. in this research,diverse climate data and factors from various resources in different stations of the studied areasuch as urmia, naghadeh, salmas, oshnavieyeh, and kahriz together with height andgeographical directions data have been analyzed to produce map of different climate zone.hereby, analysis of different types of data such as spatial and nonspatial data is one of the mostdifficult challenges in climatic researches. in order to solve this challenge, gis spatial analysistechniques, spatial and multivariate analysis algorithms such as maximum likelihood analysis(mls), principal component analysis (pca) and iterative self organizing data analysistechnique (iso data) have been used to analyze different types of data. structure of variableshas been verified by application of the multivariate analysis of pca method. the number andnature of the factors have also been analyzed to specify the rate and find out how they areaffected by climate properties of the study area. by using pca methods the effective factorshave been employed to determine contribution rate of each factor in development of climatearea.results and discussionthe results show that there are 4 different climate types: mountainous cold, wet, semi – wet andsemi – arid climates in the west part of urmia lake area. it is also shown that the local factors(such as height, geomorphologic features including aspect, slope, spatial arrangement ofmountains and etc. under the control of external factors such as west, north and southwest windsystems entering into the area, play an important role in the formation of climate types. theyalso act as a reinforcement or adjustment of climatic conditions. here, in survey of the presentstudy, the term of named as morpho–climatic subject is as a new phase in studies ofclimatology.conclusioninvestigation of the results shows that the local condition and factors like geomorphology andtopographic characteristics of a region in different scales under the control of external factorssuch as west, north and southwest wind systems play an important role in development ofdifferent climate types such as different patterns of the micro regional and local climates. thiscan be concluded that climate properties are developed by the influence of both geomorphologicand weather conditions of a specific region.