Showing 733 results for Type of Study: Research
Naseh Qaderi, Bohloul Alijani, Zahra Hejazizadeh, Mohammad Saligheh,
Volume 18, Issue 48 (3-2018)
Abstract
Wheat is the main focus of the economy of Kurdistan province in which the annual fluctuation of wheat yield is 4/11 times as affected by the climatic elements of the site. This study investigated the role of agro-climatic variables and indices on rainfed wheat yield in Kurdistan province. The data of planting area, amount of production, damages and yield of wheat of 31-year in 10 regions of Kurdistan along with the hourly, daily, decade, monthly, seasonal and yearly levels data of 22 synoptic stations were collected. The correlation between wheat yield and 128 independent variables was calculated. The effect of variables on yield evaluated by multivariate regression. The spatial analysis of variables was performed and the spatial model of wheat yield was introduced for province and regions. The results showed that climatic elements in various regions are different, in a 99% confidence. Most of the independent variables alone have a significant effect on wheat yield, but in the stepwise model, 7 variables such as: the number of rainy days of the year, the sum of the degree hours (of temperature less than -11 ° C) in germination and tilling stage, annual precipitation and the precipitation of November are determinants of the yield. Yield and effective independent variables have significant spatial differences even in a cluster climate type. The highest and lowest coefficient of variation of wheat yield is related to Bijar and Kamyaran areas, respectively. Kamyaran and Sanandaj regions have the highest and lowest yield, respectively. Bijar is the highest risk region of the province for wheat production.
The results of this study showed that with a 99 percent confidence, climatic elements (variables) vary in different regions. Most of the independent variables have a significant effect on wheat yield in simple linear regression, but in Stepwise method, due to the internal correlation between variables, just variables entered that have insignificant correlation with each other and have more effects than other variables. The variables affecting the performance are differentin various regions, and from the point of view of effectiveness, the arrangement of the variables in different areas vary too. In other words, even in two regions with a climatic type (based on the Modified De Martonne method), both agro-climatic indices and wheat yield are significantly different. The impact of effective variables on yield at any time and place depends on the time of year and the phonological stage of wheat. At one time the environmental conditions of different regions in terms of temperature, humidity and precipitation differ, based on phonological stages of the regions. The time of the vulnerability of wheat varies from place to place. Wheat vulnerability at flowering stage is more than other stages. The effect of independent variables on yield at different times of year is proportional to the phonological stage in years Different and different in different regions. In Kurdistan province, the number of rainy days of the year, total degree hours the temperature reaches below -11 °C (sum of hours with below -11 °C temperature) from germination to tillering stage, the annual precipitation, the rainfall in the fifth decade of the water year (the precipitation of 11-20 of November), annual relative humidity and total degree hours the temperature reaches above 30°Ctemperature (sum of hours with above 30 °C temperature) in milky and dough stage is the determinants of the production of rainfed wheat. In Baneh and Marivan areas, the coefficient of variation (CV) is lower and in Bijar and Divandareh regions CV is more than other regions. Kamyaran region has the highest yield, Baneh and Marivan were ranked secondjointly. Sanandaj and then Bijarhave the lowest yield. Each region has a model for wheat yield and determinant factors vary from region to region. Although the annual production of Bijar is higher than other areas, wheat production in the Bijar region has a higher risk than other areas.
Mostafa Mohammadi Dehcheshme, Nahid Sajadian, Ali Shojaian, Narges Gheysari,
Volume 18, Issue 48 (3-2018)
Abstract
Study how to relax and leisure from the work of citizens it is located in the field of leisure geography studies. The current study is practical in an aim and descriptive– analytical in method and practical– theoretical in nature. In this study, the first path analysis model was used in order to express logical correlations between environmental and demographics variables, on leisure geography and providing structural analysis.the results of study path analysis model shows that the impacts of the physical environment outside the home with standardized coefficients0.461 into other variables have the greatest impact and demographic variables with standard coefficients 0.025 has least impact on leisure geography of metropolis. In the following, the number of 383 questionnaires was distributed in order to study comparatively the spatial pattern leisure geography among citizen's zones 2, 4 and 7 of the city of Ahvaz that they were at different levels of enjoyment. The results of the questionnaire of citizens indicate that leisure pattern in Region2 is different from other areas; However, the pattern of citizens leisure of district4 and7 has not a significant difference together. In this context, assigning a specific type of planning is approved in order to improve the quality of community health and welfare of the citizens;; with regard to natural and human environment conditions of the city and leisure facilities available.
Dr Maryam Bayatvarkeshi, Ms Rojin Fasihi,
Volume 18, Issue 48 (3-2018)
Abstract
Modeling provides the studying of groundwater managers as an efficient method with the lowest cost. The purpose of this study was comparison of the numerical model, neural intelligent and geostatistical in groundwater table changes modeling. The information of Hamedan – Bahar aquifer was studied as one of the most important water sources in Hamedan province. In this study, MODFLOW numerical code in GMS software, artificial neural network (ANN) and neural – fuzzy (CANFIS) method in NeuroSolution software, wavelet-neural method in MATLAB software and geostatistical method in ArcGIS software were used. The results showed that the accuracy of methods in estimation of the groundwater table with the lowest Normal Root Mean Square Error (NRMSE) include Wavelet-ANN, CANFIS, geostatistical, ANN and numerical model, respectively. The NRMSE value in Wavelet-ANN method as optimization method was 0.11 % and in numerical model was 2.2 %. Also the correlation coefficients were 0.998 and 0.904, respectively. So application of neural combination models, specially, wavelet theory in estimated the groundwater table is most suitable than geostatistical and numerical model. Moreover, in the neural intelligent models were applied latitude, longitude and altitude as available variables in input models. The zoning results of groundwater table indicated that the decreased trend of groundwater table was from the west to the east of aquifer which was in line with the hydraulic gradient.
Chenoor Mohammadi, Manouchehr Farajzadeh, Yousef Ghavdel Rahimi, Abbas Ali Aliakbar Bidokhti,
Volume 18, Issue 48 (3-2018)
Abstract
This study is aimed at estimating monthly mean air temperature (Ta) using the MODIS Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI), latitude, altitude, slope gradient and land use data during 2001-2015. The results showed that despite some spatial similarities between annual spatial patterns of Ta and LST, their variations are significantly different, so that the Ta variation coefficient is four times the one of the LST. Our analysis indicated that while in winter latitude is the key factor in explaining the distribution of the differences LST-Ta, in other seasons the role of slope and vegetation become more prominent. After obtaining the spatial patterns of LST and Ta, we estimated Ta using regression models in spatial resolution of 0.125˚. The lowest estimation error was found in the months of November and December with a high explanatory coefficient (R2) of 70% and a standard error of 1 ° C. On the other hand, the maximum error was obtained from May to August with R2 between 59 to 63% and a standard error of 1.6 ° C which is significant at the 0.05 level. In addition, result of evaluation of individual months showed that estimation of Ta is more accurate at the cold months of the year (November, December, January, February, and March). With considering different land uses, the highest R2 was related to waters and urban areas (96 to 99%) in warm months, and the lowest R2 was for mixed forest and grassland (between 15 and 36%) in cold months.
Dr Mohammad Hossien Saraei, Mrs Samaneh Iraji,
Volume 18, Issue 48 (3-2018)
Abstract
The management of land development in the compilation of urban development documents is a very important topic. Failure to pay attention to this necessity, and the course of physical development foreseen for urban areas, make the main goal of the development plan, which improves the quality of housing in urban areas, not being realized. The purpose of this study is to introduce a functional model for land development management in order to guide and manage the urban development flow. To this end, the Land Readjustment Plan (LR) as the selected method of land management in urban areas is introduced and it is possible to perform it in a range of Yazd city. The general research method used in this descriptive-analytic study. The data used in this article collected by the library method as well as the field survey were used and analyzed using ArcGIS software. In this regard, a proposal for the scope of the study was compiled and evaluated before and after the implementation of the plan. The calculation of the distributional index showed that the proposed scheme would give 20% of the profits to the owners in the scope of the study. The conclusion from this study shows that using the Land Readjustment Program as an economic and design tool, planning and redevelopment of undeveloped lands can be done in accordance with urban needs. This planning involves modifying the layout of parts, modifying the network of roads, supplying services and infrastructure of the facility. Thus, the field of realization of urban development plans in these areas was provided. It also provided the basis for the participation of all stakeholder groups through creating the necessary attractions for the groups influencing the implementation of the project.
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Volume 18, Issue 48 (3-2018)
Abstract
In the current disorderly world, securing benefits and achieving optimal security for countries alone is very difficult and unavoidable. Uniting with other countries and powers is a way to advance national goals and provide benefits, and bring more guarantees for countries to survive, advance, develop and peace. The factors and conditions that lead to the unification of the countries have been a lot of controversy and debate and have been analyzed from a variety of perspectives. Although geographic proximity and geographical similarity seem to be the prelude to creating unity between countries, the Iranian-Iraqi model in the Middle East is challenging this claim. Except for a few days in the early 20th century, the two countries were in conflict with the majority of the century, even an eight-year-old war between them. So the main question of this research is how geopolitical factors contribute to the unification of countries, and what are these factors and components in the strategic relationship between Iran and Iraq? This research is descriptive and based on library and document data. The results of the study show that the components of the internal environment (economic, socio-cultural components, geographic and political components, security and geopolitics), the regional external environment and, ultimately, the global environment have affected the quality and quantity of the strategic linkage of Baghdad-Tehran. The strategic link between the two countries is a function of the accompaniment and positive function of the triangle, which itself is based on more complex components.
Fakhri Sadat Fateminia, Behrouz Sobhani, Seyed Abolfazl Masoodian,
Volume 18, Issue 48 (3-2018)
Abstract
This study was performed to evaluate the extent of leaf area in Iran from (2002) to (2016) using Remote sensing. For this purpose, we extracted data collection and leaf area index for the Iranian territory from MODIS website. The database was established with programming in MATLAB software to perform mathematical and Statistical calculations repeated. After the analysis of the data in this software a monthly average long-term map was developed. The maps show that the central, East and South-East are almost empty of leaf area or seen very sparse in some areas. In contrast areas of leaves in the northern and western parts of Iran, are good, which generally includes fields, except forest Arasbaran and Hirkany. Precipitation and the temperature, is the main factors for the growth and development of plants, that these two conditions are enumerated in the west due to being on the way of westerly winds. Lowest leaf area index is for January and February and the highest average of leaf area is for May and June. Next, study of 15 years of leaf area index data by cluster analysis based on the calculation of Euclidean distance and Ward method, showed that all 12 months fit in the two main groups and, in fact, divided for two periods of strong and weak vegetation. In this analysis, , April during the cold period and October in the warm period of the year as the transition months and they are located on a separate cluster
Javad Bazrafshan, Mehrshad Toulabi Nejad, Najmeh Hamli,
Volume 18, Issue 49 (3-2018)
Abstract
This study explored the factors and drivers of livelihood pattern change in rural households through sustainable livelihoods Approach. The study was considered applicable and used a descriptive-analytic method. To collect the data, questionnaire and interview instruments were utilized. The statistical population was Minan rural households in Sarbaz border province (N=4544). Using Cochran’s sampling technique, 354 households were selected as the participants of the study. One sample t-test, chi-square, and logistic model were used for data analysis. Findings revealed that out of 354 respondents, 72.88 % believed their livelihood pattern had changed and 27.12% supposed no change. 15 out of 45 variables under study were considerably effective and had significant relationships with livelihood variable. Economical (0.400), personal (0.360), and geographical isolation (0.312) factors played major roles in this regard. Moreover, it indicated that out of 354 respondents, 39.8% assumed that they had chosen fuel smuggling, 25.4 % goods trading, and 22.9 % service works as a reaction to this livelihood change for the living. Thus, it can be argued that integrated rural livelihood and accessible proper foundations for subsistence outside the farms (such as rural industries) can diversify living and prevent both livelihood change and use of illicit and hazardous activities, for instance, fuel and goods smuggling.
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Zahra Sadat Hoseini, Shahriar Khaledi, Abdolmajid Naderi Bani,
Volume 18, Issue 49 (3-2018)
Abstract
Paleo-climate reconstructions based on multi-proxy such as sedimentology is current in climatology investigation. In this way, National Institute of Oceanography and Atmospheric Science cored 960cm from Arzhan wetland SW of Iran than we have investigated of sedimentology. Primarily the core was measured on magnetic sensibility per 1cm and secondly was subsampled according to magnetic sensibility and were analyzed include TOC, CaCO3, and Grading laser and etc. Finally four samples of pace of plant were selected and have been dated in carbon 14 dating laboratory of Poznan, Poland, and calibrated trough of core based on Calib rev. 7.1. Dating have determined that core had covered 15000 Cal. BP. According to this investigation, we obtained 5 period of climate conditions during Pleistocene to Holocene in this area. 15000-13000 Cal. BP. Late Pleistocene climate conditions were colder and wetter period that indicate end of the Ace age. 13000-11000 Cal. BP. Climate begin to warmer and dryer. 11000-9000Cal.BP. because of this period shows many fluctuations in all proxies we named this period to the period of transfer from ace age to interglacial period. 9000-7000Cal. BP there have been warm and cold conditions compare to late Holocene. 7000- Present indeed in this period radiantly modern pattern of atmospheric circulation has been performed due to all of proxies in late Holocene begin to fixed on the same pattern. So probably atmospheric circulation from meddle Holocene begin to get harmonic to present. Any way for determinate of paleo-climate in this area we need to use of multi proxy investigation in area.
Meysam Toulabi Nejad, Dr Zahra Hejazizadeh, Mrs Atefeh Bosak, Mrs Nasrin Bazmi,
Volume 18, Issue 49 (3-2018)
Abstract
The purpose of this study was to investigate the effects of the North Atlantic Oscillation on the middle levels of Atmosphere and precipitation changes in the West of country. To do this, first monthly rainfall data of 17 synoptic stations of the West Country in period of 30 years from 1984 to 2014 of country were collected from Meteorological Organization. As well as North Atlantic Oscillation data and anomalies geopotential height data, sea level pressure and precipitation were received from NOAA. To clarify the relationship between the NAO index phase with precipitation of west of Iran used Pearson correlation coefficient was at least 95%, (P_value = 0.05). Finally, using synoptic maps, spatial relationships among data, were analyzed. The results indicate that between North Atlantic Oscillation changes with middle level height anomalies of the Atmosphere and the amount of precipitation in West of Iran in January, March, April and November there is communication and concurrency. The results showed that , at a time of sovereignty positive phase of the North Atlantic oscillation , an average of height atmospheric middle level in mid - western Iran 17 meters long - term and less than the average rainfall per month 23.5 mm increased and wetly sovereign. But when phase of governance is negative, high atmospheric middle level anomaly to an average of 20 meters more than normal. As a result, the drought will prevail in the west and precipitation in the region each month will face a reduction of 30 mm. In general, we can say that droughts more severe than wet coincide with the negative phase of the North Atlantic Oscillation is positive phase.
Hasan Zolfaghari, Jafar Masoompourv Samakosh, Shabnam Chahvari,
Volume 18, Issue 49 (3-2018)
Abstract
The purpose of this study is predicting climate changes and investigating the effect of probable climate change on the growing degree-days in the northwest of Iran. For this purpose the climatic data of seven synoptic stations during a 25 years period (1985-2009) was collected including Oroomieh, Tabriz, Zanjan, Sanandaj, Ghazvin, Kermanshah, and Hamedan were used as the base period and thus temperature variations periods (2030-2011 and 2065-2046) through HadCM3 model was simulated. For the little power of temporal and spatial distinction of this model, its outputs were downscaled using LARS-WG software and presented under Emission Scenarios including A1B (moderate scenario), A2 (maximum or pessimistic scenario), and B1 (minimum or optimistic scenario). Calibration, verification and Performance Model with the rate of the adaption of observed data and the simulated measures through statistics , RMSE and MAE were analyzed. Finally, using the simulated temperature growing degree-day was calculated and compared under 4 Base temperature including 0°,5°,10°, and 15° centigrade in the basic span (1985-2009) and future span (2011-2030 and 2046-2065). The results of simulation show that temperature change in north-west areas under all three A1B, A2, and B1 scenario are increasing in the future, but the differences among these three scenarios in each period is inconsiderable. In total the most temperature increasing was detected as 0/7 centigrade in A2 scenario for 2011-2030 period and 2/3 centigrade under A1B scenario for 2046-2065 period. Generally with the temperature increasing, the amounts of growing degree-day without exception increases in review periods and under the four Base temperature. Under studied scenarios, the Bases temperature of 0° centigrade had the most and 15° centigrade had the least impressibility from climate changes, so that the most increasing in calculated degree-day measures under 0° and 15° centigrade bases in the first period to the basic scenario (1985-2009) respectively was simulated as 207/4 and 120/6 degree-day under A2 scenario and for the second period to the 752/5 and 463/5 degree-day under A1B scenario.
Nasser Bayat, Seyed Ali Badri,
Volume 18, Issue 49 (3-2018)
Abstract
This research is conducted on tourist segmentation in the touristy catchment area of Kolan river in Malayer Township. The statistical population is tourists who travel to the area for recreation, tourism and leisure. The research tool is a self-administrated questionnaire. By the method of Simple random sampling we collected a total of 200 questionnaires of tourists in the study area. Descriptive statistics and exploratory factor analysis and cluster analysis was used to analyze the research data. Based on the results of factor analysis were identified even major factor in tourists' motivations at the regional level, including: Rurality, sense of place and place belonging, rest and relaxation, nature-based tourist activities, group outdoor recreational activities, purchase the rural production, excitement and novelty, spirituality and solitude. According to this motivational factors final result of tourism segmentation shows that tourism demand in the market consisted 7 difference segments. cluster 1 with a diverse motivation of 12%, cluster 2 with togetherness motivation 17%, third cluster as a younger age group with adventure motivation 18.5%, cluster 4 with rurality motivation 15%, fifth cluster whit shopping motivation 10%, sixth cluster with sense of place and desire for comfort and rest 19.5%, and seventh cluster with a particular tendency to sense of place 7.5% of the sample population as a whole. The results could be utilize in order to optimize the use of available resources in the area by managers and local authorities, as well as owners of tourism businesses, compatible with the actual needs of various sectors in rural tourism market.
Jamileh Tavakolinia, Mostafa Haraeeni,
Volume 18, Issue 49 (3-2018)
Abstract
Tourism quality is important factor so that influence in return of tourists. Hence, it needed to be developed tourism quality due to stimulate domestic and foreign investment, increase business, and improve economic and social conditions. This study has an applied perspective relevant to type, and has an analytical approach pertaining to descriptive method. Using a questionnaire and taking the reliability of the data into account, the Cronbach’s alpha coefficient (0.834) and content validity, the data and required information were collected; and analyzing the number of 354 forms referring to the Darband restaurants were performed, with respect to documentary research and fieldwork in the sample tests. Based on facts collected due to satisfy consumptions; we found some gaps including, the widest gap of QoSs is relevant to tangibles with average distance -0.33, and narrowest gap of QoSs is pertaining to responsiveness with average distance 0.34. In next step, using Kano model we categories’ QoSs, and the results, based on customers’ respond, shown that 6 features categorized as “attractive,” 5 features categorized as “one-dimensional,” 6 features categorized as “necessary,” and 2 features as rest of 19 characteristics categorized as “unconcerned.” Eventually, according to the findings performed an inspection due find out about a relation over the Spearman correlation, and education, and income.
Abed Golkarami, , Afshin Motaghi, Hossien Rabiee,
Volume 18, Issue 49 (3-2018)
Abstract
Knowing Country and understanding the capacity of its perimeter and international environment are essential components of the economy that the foreign policy of any country should be on the basis of territorial and social. The country relies on its geopolitical foundations that they are influenced by its geographical location can affect codification foreign policy in the international economy. Hence, this paper with an analytical -descriptive method to survey the geopolitical and geographical foundations of Islamic Republic of Iran's economy. This paper show that Economy of Islamic Republic Iran away with its Geopolitical foundations and to achieve an effective economic on the closed surrounding and international environment, review in Geopolitical foundations of foreign policy that is mentioned in the form of five components are necessary and is inevitable. Hence, Islamic Republic of Iran to pursue these foundations in foreign policy strategy, not only effects will be in terms of political and cultural on international environment but also in terms geo-economic impact on international political economy.
Hamdollah Sojasi Qidari, Hamide Mahmoodi, Hoori Havvaei,
Volume 18, Issue 49 (3-2018)
Abstract
Higher quality of services provided in the rural areas requires feedback, consulting with villagers, and their active participation in rural development process. Water services are one of the most basic services provided in rural areas. Accordingly, the present study seeks to evaluate the satisfaction level of rural residents with the quality of services provided by Rural Water and Wastewater Company. This study was conducted in a descriptive-analytical method, and the population was comprised of 132 households randomly selected from rural residents living in rural areas of Central District of Neyshabur County with an acceptable reliability score. Investigating the relationship between the five dimensions of the study and the individual characteristics indicates that there is a significant relationship between age, gender and education level and satisfaction with quality of the services in sample villages. At the same time, assessing the satisfaction with the quality of water services in sample villages indicates that the quality of water services in sample villages is at a satisfactory level. The analytical results of the confirmatory factor analysis of the research indicators showed the highest percentage of variance of the research dimensions belonged to 'empathy', with 30.91% and the least value of variance belongs to ‘tangible changes’ (21.28%). The spatial analysis of villagers' satisfaction with drinking water supply services in sample villages showed that the village of Sheikhlan with 103.10 Qi had the highest satisfaction level, and the village of Turani with 0.990 Qi had the least satisfaction with the quality of services..
Tayebeh Dehghani, Mohammad Saligheh, Bohloul Alijani,
Volume 18, Issue 49 (3-2018)
Abstract
In order to detect climate change, a variety of climate indicators can be used which is often considered temperature and precipitation. In order to investigate the effect of climate change on the amount of precipitation in the north coast of the Persian Gulf, it simulated the precipitable water for 2017-2050 based on the RCP4.5 model of the Hadcm3 model. The NCEP / NCAR base-station data with an arc-value of 0.125 was used to analyze the past and present precipitable water patterns and to reveal the process of this time series. Time series analysis of precipitable water was performed using two SENS tilt estimators and Man-Kendall test. The results indicated that the annual time series of rain water was increasing in the region, every year, 0.05 mm, the precipitated water increased and it tended to become more homogeneous, this increase in the significance level of 0.95. The precipitation rate in the eastern part of the region was higher than other areas. Before 1989, several fluctuations were observed in the rainy season of precipitable water, but none was statistically significant at the confidence level of 95%, but since 1989, the trend has increased significantly at a confidence level of 0.95. This spatial behavior of precipitable water can actually have occurred in response to the increase in the overall temperature of the area and can be considered as a profile of climate change in the region.
Professor Kamal Omidvar, Miss Nesa Sepandar,
Volume 18, Issue 49 (3-2018)
Abstract
In this study, the dust situation in 6 synoptic stations of Kermanshah province was investigated in the period 1987-1992. To study this phenomenon, dust days were extracted in 2009 with code (06) from the current air index. Then data from different bar levels were taken from the National Oceanic and Atmospheric Organization (NCEP / NCAR) database and maps were plotted in the Grads software. Finally, through the processing of MODIS satellite imagery, with the application of the brightness temperature index, round detection and the dust was made and its territory expanded. The results of the study showed that at low ground level, when the European high-pressure system retreated to the north and west, Sudan's low pressure existed in the eastern Mediterranean, and the system moved southwest to the northeast, and when they entered, the disturbance zone is caused due to the lack of moisture in the dust, the main sources of dust in the province of Kermanshah include the deserts of northern Arabia, southern Iraq, and somewhat north of the sub-Saharan Africa.
Sayyed Mohammad Hosseini,
Volume 18, Issue 49 (3-2018)
Abstract
Precipitation is a climatic elements that have temporal - spatial distribution. In this research database of Global Precipitation Climatology Centre (GPCC) with a resolution 0.5×0.5 degree for 50 year is used, that was constituted with dimensions of 12800*600. Temporal data are on the columns and pixels (spatial data) located on the rows. The results show an increasing trend in spring and fall but in summer and winter precipitation trend has been decreased. The most amount of precipitation is located in the northern parts of the Black Sea and Mediterranean Sea, Southeast Asia, southern coast of the Caspian and Central Zagros Mountains. Most of Middle East (about %95) have not trend and only in some parts of Kazakhstan, Afghanistan, Pakistan ,central Iran, and areas in lower-latitude have positive trend and some East and northwest parts of Iran and some parts of Middle East also have decreasing trend of precipitation. The highest percent of area of precipitation trend gradient is 0 to 0.5.
Sajad Ferdowsi, Najmeh Nazari Mazidi, Mehdi Modudi Arquhdi,
Volume 18, Issue 49 (3-2018)
Abstract
This study was conducted to estimate the index of Remaining carrying capacity of host community to tourism development. The method of data analysis is descriptive-analytical. In order to collect the initial data, a field survey and a questionnaire were used. The study population is comprised of specialists related to the subject and residents of Shahroud (host community). The sample size for distribution of the host community questionnaire is 125 people (65 inhabitants, 41 tourism business owners, 19 officials). In this regard, 20 questionnaires have been considered for the survey of experts. Method of determining the carrying capacity of the host community in the study adapted of Battelle Environmental Evaluation System (BEES) that it is used for environmental impact assessment (EIA) and the limits of acceptable change (LAC). The results of data analysis showed that based on barometer of sustainability Alan Prescott, and according to the parameters obtained by (0.426), carrying capacity of the host community, by positioning the floor of 0.41 to 0.60 of the situation is balanced state. Therefore, it is understood that the host society has a balanced attitude towards tourism and is not opposed to its development. As a result, it is essential to use existing potentials in order to sustainable tourism development, necessary planning should be made by tourism managers to attract more tourists to this area.
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Dr Younes Khosravi, Mehdi Dostkamian, Allah Morad Taherian, Amin Shiri Karim Vand,
Volume 18, Issue 50 (3-2018)
Abstract
Survey of advection of cold waves in Iran is the main aim of this study. In this regard, 45 synoptic stations were employed and studied. In order to investigate the thermal advection of cold waves, 1000, 850, 700 and 500 hp levels were reviewed and analyzed. Results indicated that cold waves in Iran most affected thermal advection caused by Tibet- Siberia, Siberias integrated Turkmenistan high-pressure, High pressure belt of Siberia - East Europe High pressure, Siberian high-pressure multi-core pattern and High-pressure belt of East of Caspian Sea integrated Black Sea High pressure. In the meantime, thermal advection of Siberian high pressure has been more impressive than other patterns. This system moved towards lower latitudes by anti-cyclone moving, So the cold weather of northern latitudes loss in lower latitudes North East of Iran, North West and Central parts of Iran. However, when Siberian high pressure combined with other patterns, its role in the advection of cold air have been considerable
