GEOGRAPHICAL JOURNAL OF TERRITORY
Year:2013 | Volume:10 | Issue:37|Papers Count:8

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

As the tourism market becomes increasingly competitive, the importance of customer retention has also increased. Considering that Satisfaction of tourists is one of the important competitive factors and best indices is considered for Guarantee earnings growth. Any size of satisfaction tourist and expectations of tourist be provided to the same amount perform attract tourists and development of tourism. The goal of this research is to analyze and evaluate the satisfaction level of tourists Entered to the Noor abad city in timeframe March 2012 and april 2013. Research Methodology is Descriptive analysis and data collection based on library studies and preparing the tourists entering to the city is Nurabad. In order to measure and evaluate the satisfaction of patients respond Kano model analysis of 16 factors in three categories of basic needs, and Attractive and function is used. Statistical community included 381 tourists as people were selected and the results obtained from the study indicate that tourists visiting the city Nurabad the Attractive needs of his, such as the sense of hospitality of the people by a factor of (0.746) highest satisfaction have. The least satisfaction tourists from tourist status to provide for their basic needs such as quality residence amenities satisfaction index (0.411) and functional needs such as traffic rules and regulations with the consent rate (0453), respectively.

Investigating the statistical and synoptical condition of a climate of an area requires statistics that have accrued daily and really. Some of frequency occurrence of phenomena on should be taken on to consideration. Maybe, in near past, the condition of upper atmosphere was not considered and only the surface conditions wave analysed statistically. But today investigators can study atmospherically phenomenon in global earth and systematically and identity the climate 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, the unique condition of its case and also heavy rain that usually leads to flood, should be studied and regarded in environmental programming. Investigating the condition of raining, in particular heavy rain in southern Khorasan, making use of statistical and synoptically patterns along 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 rural dissemination that’s to say some of these parameters posses even move impact upon them than other ones .the present survey endeavors to estimate and scrutinize the deployment of 2793 rural areas associated and correlated to natural parameters in Kermanshah province. Furthermore the survey, within its chapters has situated other factor or factors whose roles are considered even more effective compared to other ones. Rural zones broadening map, also, is to be accessed through three individual categories, appropriate, mode stly proper, and inappropriate. To approach and fullfill this purpose, 8 natural parameters such as major rivers, fault, climatic elements, like precipitation, evaporation, temprature, altitude and slope were adopted to be effectively major reasons in order for a location to be in habited. Over this procedure, parameter maps on the basis of numerical variant were provided through ARC GIS10 software. Afterwards, A.H.P, was employed to measure each index weight for the blend of layers and target map supplies, the survey has benefited overlay method. most of the villages, according to what was mentioned above, have been resided in appropriate type, and only 2.90 percent of rural areas are located in naturally inappropriate conditions .as the issues above are noticed, its not improper to claim there is a closely direct connection between natural parameters and location selection.

Heavy rainfall and its direct and indirect effects on human’s lives and activities not only justify the attention to the peripheral phenomenon but also provide the way to predict their future occurrence. In this study, after selectin gcriteria for Iran’s heavy rainfall in the South West, theperipheralto circulation approach was used and the synoptic conditions at the time of the event (21November2011) was evaluated. Results show that the progression of Sudan low pressure from the South and the European high pressure from the North and the collision of the setwohot and cold systems have made the mass in West and South West of the country. In addition, in the middle level of atmosphere deepening of the Mediterranean landing area and its East- toward movement on the same day has located the study area in the East Region of the landing are a which is the positive volubility area and the created spin has moved to the East. Therefore, Due to the severe the rmalinstability and gradient this led to rising air in the region. High humidity has also contributed to instability and has provided conditions for heavy rainfall in the region more than before Also, one of the other factors affecting the heavy rainfall in the study area is that he subtropical river wind speed core has located on the Red Sea and in the north of Arabia.

Among the important characteristics of each lake, its water level, Understanding of how water vel fluctuations in an effective change-related issues including water storage changes – by shoreline construction and environmental issues. In this study, the effect of fluctuating lake water discharge and meteorological signals lake basin are discussed. The data used in this study due to high volume in the interval from 1986 to 2008 and from 1951 to 2011 at different stations. 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 the relation 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 and analyzed. Model output of the neural network software Neurosolutions6 that all stations in the state, ranging from the time delay of the quarter and half-year delay of the effective signal swing and lake water flows into the lake basin Order 1-NINO3 2 - NINO 3 +4 3 - NINO1 +2 4-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 to the increasing world population with its agricultural and industrial activities from the one side and, over the last few years, increasing drought from the other side. Thus it is a priority to investigate the proper site selection of a waste water treatment plant. In this study, locations for the waste water treatment plant for the city of Qeshm, Hormozgan Province were investigated. 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 gave different weights to each data, according to AHP, and determined which slope received the most weight value. Following this process, we categorized the data into four classes according to the TOPSIS model. This model selects the shortest distance from the highest level of the classes and the longest distance from the lowest class. The end result showed that the model selected 109 km2 of Qeshm Island that would be a suitable area for creating a waste water treatment plant.