نشریه جغرافیایی سرزمین
پیاپی 37 (بهار 1392)

The Date is dryness is a majer Problem in South ern Portsofiran. Despite lots of damages tothis region economy,The main purposes of this study the effect of,UV, Ozon (O3) andclimatological factors including temperature and relative humidity on date dryness. The studywas done based on two models, Artificial Neurol networks well as regression model grade 3which was made by the main component. Therefore, the two models results were analyzedand compared with each other while the determination index for former model was R2 = 0.999and for the later one it was R2 = 0.92. However, it was revealed that the results of artificialNeurol networks were more exact. Consequently, it concluded that based on this study resultsthere was a direct, positive relationship between the origin of the bunch of Mozafati drynessdifficulty and the temperature, radiation and Ozon while it showed opposite relation withrelativehumidity.

As the tourism market becomes increasingly competitive, the importance of customerretention has also increased. Considering that Satisfaction of tourists is one of the importantcompetitive factors and best indices is considered for Guarantee earnings growth. Any size ofsatisfaction tourist and expectations of tourist be provided to the same amount perform attracttourists and development of tourism. The goal of this research is to analyze and evaluate thesatisfaction level of tourists Entered to the Noorabad city in timeframe March 2012 and april2013. Research Methodology is Descriptive analysis and data collection based on librarystudies and preparing the tourists entering to the city is Nurabad. In order to measure andevaluate the satisfaction of patients respond Kano model analysis of 16 factors in threecategories of basic needs, and Attractive and function is used. Statistical community included381 tourists as people were selected and the results obtained from the study indicate thattourists visiting the city Nurabad the Attractive needs of his, such as the sense of hospitalityof the people by a factor of (0/746) highest satisfaction have. The least satisfaction touristsfrom tourist status to provide for their basic needs such as quality residence amenitiessatisfaction index (0/411) and functional needs such as traffic rules and regulations with theconsent rate (0/453), respectively.

Investigating the statistical and synoptical condition of a climate of an area requires statisticsthat have accrued daily and really. Some of frequency occurrence of phenomena on should betaken on to consideration. Maybe, in near past, the condition of upper atmosphere was notconsidered and only the surface conditions wave analysed statistically. But today investigatorscan study atmospherically phenomenon in global earth and systematically and identity theclimate pattern with applying various technics and specialized software and remote sensing.Rains is considered to be the most Irregular climate element of sub arid areas. Specially, theunique condition of its case and also heavy rain that usually leads to flood, should be studiedand regarded in environmental programming. Investigating the condition of raining, inparticular heavy rain in southern Khorasan, making use of statistical and synoptically patternsalong with surface map and 500 hp surface in cooperation is a feature of this research Hope,in future, these kinds of practical research by researches in this field. Becomes of more notice.

Natural parameters play an extremely crucial role in the inhabitation process and ruraldissemination that’s to say some of these parameters posses even move impact upon themthan other ones .the present survey endeavors to estimate and scrutinize the deployment of2793 rural areas associated and correlated to natural parameters in Kermanshahprovince.Furthermore the survey, within its chapters has situated other factor or factorswhose roles are considered even more effective compared to other ones.Rural zonesbroadening map,also,is to be accessed through three individual categories,appropriate,modestly proper,and inappropriate.To approach and fullfill this purpose, 8 natural parameters suchas major rivers,fault,climatic elements,like precipitation,evaporation ,temprature,altitude andslope were adopted to be effectively major reasons in order for a location to be inhabited.Over this procedure,parameter maps on the basis of numerical variant wereprovided through ARC GIS10 software. Afterwards,A.H.P, was employed to measure eachindex weight for the blend of layers and target map supplies, the survey has benefitedoverlay method . most of the villages,according to what was mentioned above,havebeen resided in appropriate type, and only 2.90 percent of rural areas are located innaturally inappropriate conditions .as the issues above are noticed, its not improper toclaim there is a closely direct connection between natural parameters and locationselection.

Heavy rainfall and its direct and indirect effects on human’s lives and activities not onlyjustify the attention to the peripheral phenomenon but also provide the way to predict theirfuture occurrence.In thisstudy, after selectin gcriteria for Iran’s heavy rainfallin theSouthWest, theperipheralto circulation approach was used and the synoptic conditions at thetime of the event(21November2011) was evaluated. Results show that the progression ofSudan low pressure from the South and the European high pressure from the North and thecollision of the setwohot and coldsystems have made the mass in West and SouthWest of thecountry. In addition,in the middle level of atmosphere deepening of the Mediterraneanlanding area and its East- toward movement on the same day has located the study area in theEast Region of the landing are a which is the positive volubility area and the created spin hasmoved to the East. Therefore, Due to the severe the rmalinstability and gradient this led torising air in the region.Highhumidity has also contributed to instability and has providedconditions for heavy rainfallin the region more than before Also, one of the other factorsaffecting the heavy rainfallin the study area is that he subtropical river windspeed core haslocated on the Red Sea andin the north of Arabia.

Among the important characteristics of each lake, its water level. Understanding of how waterlevel fluctuations in an effective change-related issues including water storage changes - byshoreline construction and environmental issues. In this study, the effect of fluctuating lakewater discharge and meteorological signals lake basin are discussed. The data used in thisstudy due to high volume in the interval from 1986 to 2008 and from 1951 to 2011 at differentstations. In this study, monthly data signals NAO - Nino1 +2 - Nino3 Nino4 Nino3.4 NOI-NP- PDO - SOI is used. All the above data were obtained from the NCEP. After explaining therelation and the prediction model using artificial neural networks for the same time interval,three months and six months respectively. The results of this model were evaluated andanalyzed. Model output of the neural network software Neurosolutions6 that all stations in thestate, ranging from the time delay of the quarter and half-year delay of the effective signalswing and lake water flows into the lake basin Order 1-NINO3 2 - NINO 3 +4 3 - NINO1 +24-NINO4 is the least of the order of 1 - NAO 2 - NOI 3 - PDO 4 - SOI 5 - NP is.

Today there is a high demand for water, particularly in arid regions, which is attributed due tothe increasing world population with its agricultural and industrial activities from the one sideand, over the last few years, increasing drought from the other side.Thus it is a priority toinvestigate the proper site selection of a waste water treatment plant. In this study, locationsfor the waste water treatment plant for the city of Qeshm, Hormozgan Province wereinvestigated. Treatment plant operation requires a number of policies, regulations and data.The importance of the above mentioned factors are essential in consideration of site selection.Therefore, we considered the slope of the land, elevation difference with respect to Qeshm,land cover, land use, distance from town and additional data for this project. We gavedifferent weights to each data, according to AHP, and determined which slope received themost weight value. Following this process, we categorized the data into four classes accordingto the TOPSIS model. This model selects the shortest distance from the highest level of theclasses and the longest distance from the lowest class. The end result showed that the modelselected 109 km2 of Qeshm Island that would be a suitable area for creating a waste watertreatment plant.