Showing 733 results for Type of Study: Research
Dr Rostam Saberifar, Mr. Hosaein Jangi,
Volume 17, Issue 46 (9-2017)
Abstract
Experiences acquired in the reorganization of the old structures and buildings of the countrysides and suburbs show that Iran and other countries in the world, have not been successful, because of the inability to build and define a perfect house. This research discusses about the proper indicators related to appropriate houses from the perspective of those who live in such areas. Descriptive and analytic methods have been used. North East outskirt of Mashhad was the study area because a large population live in this region. The question is: Why people prefer to live in a house with a yard instead of an apartment. In this study, 410 persons were questioned. The collected data through the years 1391 to 1393 were analyzed by SPSS software. The Study shows that age, the year of buying the house, the educational level and the type of house possession affects the suburbs population's views. Therefore, if the governments consider these housing preferences and divide those people into certain subgroups, providing accommodation for them would be more successful.
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Mehrshad Toulabi Nejad, Jaad Bazrafshan, Sirous Ghanbari,
Volume 17, Issue 46 (9-2017)
Abstract
In this study, the relationship between rural deprivation and environmental sustainability was analyzed. The present research is applied in a targeted, applied way and the method is descriptive-analytical. The data gathering tool was a questionnaire, an interview with the locals, a statistical journal of Lorestan province and data from the deputy of rural development and deprived areas. The statistical population includes rural households in Poldokhtar Township (N= 10619). Using Cochran formula and simple random sampling, 400 households were selected as samples. In order to identify the most important indices of deprivation from the exploratory coincidence rating test, One-sample t-test was used to determine the environmental sustainability factors and Finally, Tobit model was used to investigate the relationship between rural deprivation and environmental sustainability. The results show that the highest rate of rural deprivation is related to the economic and cultural deprivation. In the context of environmental sustainability factors, the results show that none of the factors is in stable condition. Water resources, trees, pasture, and pastures are in a state of instability and the only factor that has a somewhat stable status is the soil. Investigating the relationship between deprivation dimensions and environmental instability shows that the economic and social dimension of deprivation has the most impact and relationship with environmental instability. While cultural deprivation of the region, although high has had the least relationship with environmental instability. Therefore, it can be said that to reduce environmental instability and prevent environmental degradation, consideration should be given to the dimensions of deprivation and planning to reduce it.
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Volume 17, Issue 46 (9-2017)
Abstract
Since the most important climatic parameter affecting sugar beet cultivation is the temperature, we carried out this research considering climatic elements such as temperature, precipitation and freezing days in relation to autumn sugar beet planting. Daily temperatures of selected stations in a period of 10 years (2005-2015) has been used for agroclimatic analysis. In order to evaluate that, thermal potential assessment, deviation from optimal conditions and active day gradient index (GDD) were used. The evaluation of thermal potential based on the threshold of 0, 4, and 10 degrees Centigrade at the station levels in Kermanshah province showed that Sar-e-Pol-e-Zahab Station has the highest cumulative thermal unit and Kangavar Station has the least one. In Isfahan province, Khour-va-Biabanak station has the highest cumulative thermal unit and Khansar station has the lowest unit. Based on the deviation from optimal conditions in Kermanshah province, Sar-e-Pol-e-Zahab station has the lowest (-27.79) and in Khour-va-Biabanak station (-21.78) had the least deviation from optimal conditions. Planting date at the stations was considered based on the autumn temperature. In Kermanshah province, Sar-e-Pol-e Zahab station had the earliest date of harvest (May 1st.), while this date in Isfahan province was for Khour-va-Biabanak station (May 9th.). Suitable areas for planting in Kermanshah province are found to be the eastern and northeastern regions of Sar-e-Pol-e Zahab and Qasr-Shirin. In the province of Isfahan, the northern and western parts of Khour-va-Biabanak and Kashan were the most proper regions and central areas are in the next steps.
Dr. Morad Kavianirad, Dr Yadollah Karimi Pour, Dr. Hedayat Fahmi, Mr. Sadegh Karami,
Volume 17, Issue 46 (9-2017)
Abstract
Efforts to provide security have always been of great importance to human being. In recent decades, the security issues of climate change have attracted attentions due to its sustainable consequences on the lives and civilization of humans. Among all countries, the ones which are placed in draught belt, like our country Iran, have hurt a lot because of low precipitations and also mismanagements in water resources control. Climate change show itself by changes in precipitation patterns, reduction of precipitation and increasing of temperature. According to the present data, Iran's central drainage basin which consists of important geopolitical provinces, has been affected by the above mentioned factors. This descriptive-analytic research is carried out based on the effects of climate change on Iran's central basin which provides approximately 48 percent of Iran’s GDP. Continuity of climate changes in this region can make critical problems in social, environmental, economic and political scales and the lives of the citizens would be affected as well. To conclude, the persistence of the current conditions in climate change in the central drainage basin of Iran, would result in challenges through the national stability and security.
Dr Bahram Imani, Mrc Roghayyeh Farshi, Mr Reza Hashemi Masoomabad,
Volume 17, Issue 46 (9-2017)
Abstract
In this study, to show the inequality between different cities in Ardebil province, 60 developmental indicators in different sections including health care, social, educational, cultural and infrastructural sections have been analyzed through VIKOR model. Moreover, for data analysis and graph and table representation of data Excel, SPSS, and ARC Map 10.1 software was used. For determining validity of the research indicators, questionnaires were completed by experts (16 experts and professionals in the related area) through AHP model. A survey in 2011 showed that from among 10 cities in Ardabil province, Ardebil city; Serein Germy and Khalkhal; Parsabad, Bilesavar and Namin; Meshginshahr, Nir and Kosar were developed, developing, less developed, and undeveloped areas, respectively. This inequality is the result of environmental, economic and political factors and it also reflects inadequacy of spatial planning, which places Ardabil in its high priority for development. Furthermore, according to the conducted analyses it is concluded that there is an imbalanced regional inequality on city scale in Ardabil province; there is a meaningful and positive relationship between the population of a city and the degree of its development; finally there is a meaningful and positive relationship between the distance from the provincial capital and the degree of its development.
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Volume 17, Issue 46 (9-2017)
Abstract
Today, tourism is the high level of development to the economies of most countries in the world have provided, as the basic unit of economic development is considered. In the meantime, the attributes or characteristics of tourism resources to be able to perform activities of tourism, destination guides. On the other hand Kashan city with a long history and its historical Each year, has attracted many domestic and foreign tourists and tourism at the national level to shine as a city. The purpose of this study was to evaluate indicators of Kashan tourism development strategy based on four criteria: comfort, competitiveness, information technology and communications and tourism management. This research method in terms of purpose and terms of method, is descriptive. The method relies on the harvest field data collection using a questionnaire that has been obtained through Cochran Formula 382.The study group this study included groups of tourists, which is in the research questionnaire, each from each group was given the status of tourism development indicators of in Kashan be determined. After the above steps to classify data using SPSS the software and one-sample t test through the conclusion reached. The city of Kashan in terms of all indicators of tourism development (with the exception of information and communication technologies), as was proper, and in general indicators of tourism development Kashan is higher than the theoretical mean. The relevant authorities in relation to information technology and communication possibilities in the tourist sites should offer new strategies that can obtain the consent of tourists and the proposed strategies were presented.
Dr Seyed Hojjat Mousavi, Mis Asiyeh Abbasian, Mis Parinaz Zoormand,
Volume 17, Issue 46 (9-2017)
Abstract
Therefore, this study was to evaluate the ecological potential of Ecotourism development in order to study extensive and focused outing in Shahreza County. In this respect, the ecological model of tourism development assessment was fitted. At first, data of slope, aspect, soil order, bedrock, vegetation, temperature and sunshine hour parameters were obtained, and the appropriate areas maps, from the perspective of each parameter is drawn with due observance of the principles and conditions of the said model, and apply the its thresholds. Then, the final mapping of focused and extensive outing of tourism development was drawn by the integration of prone areas maps. Eventually, the final layer of outing was assessing accuracy through the encounter of the natural attractions and rural centers layers. The results showed that extent about 9.0198 and 3.9526 km2 (0.32% and 0.14%) of the Shahreza County are appropriate for the development of one and two levels of focused outing, respectively. Also, extent about 263.1973 and 298.1843 km2 (9.41% and 10.67%) are appropriate for the development of one and two levels of extensive outing, respectively. The high adaptation of the natural attractions and rural centers to the classes evaluated of ecotourism development maps has been showed the acceptable accuracy of the tourism development and the spatial and land use management maps is the Shahreza County.
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Volume 17, Issue 46 (9-2017)
Abstract
Relationship analysis of road markets with socio-economic stability of villages in Sistan region
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The present study, identify the relationships of road markets with economic- social sustainability in villages of Sistan and the research method is descriptive and analytical and based on documentary and field studies (questionnaire). To analyze the data, SPSS statistical analysis software and for mapping, GIS software is used. The statistical population included all the villages near road markets which the number 3622 household in 34 villages. To test the hypotheses, Mann - Whitney test was used. The findings show that there is significant difference between the economic stability near and distant villages of road markets and there is not significant difference between social sustainability near and distant villages of road markets. In fact, according to the two groups of villages near and away from markets that have been the same conditions, results indicate that villages near road markets with an average of 2.91 and 2.94 have a higher level of social and economic sustainability. Overall, 70 percent of the typical villages near the roads have good sustainability.
Ghasem Keikhosravi,
Volume 17, Issue 47 (12-2017)
Abstract
In this study, precipitation simulated annual and seasonal in East and North-East of Iran ,in 1987-2011, by using RegCM4 dynamic model in two case; with and without using post-processing technique. The required data for RegCM4 model with NetCDf format, received from ICTP center. For the implementation of the main dynamic model, Convective precipitation test scheme and the horizontal resolution, performed for 2007. According to the test, Kuo Schema had less error than Emmanuel and Gurl schemes in Precipitation and region temperature modeling. Horizontal resolution selected 30 Km. After model implementation with Gurl schema and 30 Km horizontal resolution, Precipitation and temperature output post- processed using MA model. According to results, in the study area, during 2006-2011 verification period, average annual rainfall raw bias of RegCM4 model was calculated and post-processed equal to 8.3 millimeter and 61.04 respectively. Briefly in the annual time scale, in 75% of studied stations, post-processing is effective and MA model is more efficient. In seasonal scale, bias error of average precipitation is equal to 54.99 millimeter in the winter, 27011 millimeters in the spring, -3.6 millimeter in the summer and 7.21 millimeter in the fall. Simulation of the temperature data in the stations using RegCM4 and MA model in north-east of Iran, revealed high performance. Bias error of average temperature is equal to -2.78 for RegCM4 model and post-processed equal to -0.05. In all stations, modeled Annual temperature and observational data has difference less than 0/1 ° C. In seasonal scale, the mean bias error range according ° C is equal to -4.1 in the winter, -4.09 in the spring, -1.8 in the summer and -1.5 in the fall.
Dr. Tayebeh Kiani, Mrs. Zahra Yousefi,
Volume 17, Issue 47 (12-2017)
Abstract
حذف شدیک جمله Identify water resources management and proper application of relevant officials and managers are the main concern. Groundwater as a most important natural resources of Iran needs to planning and management of all aspects. In this regard, a study done of the Shaharchay river basin in the west of the Urmia Lake and the northern structural, sedimentary zone of Sanandaj - Sirjan. The aim of the study is to identify areas where the water table is higher in groundwater. To achieve this, an interpolation of (IDW) water level underground of Shaharchay by using the data of piezometeric well, then matching results with the position of faults and available tectonic seismic data. fractures were checked and the role of basin natural characteristics such as slope, lithology, soil type, ages of Geological, precipitation and landuse on groundwater level fluctuations were checked as well. Investigations show 4 different patterns of movement of groundwater in the basin area. Except of fault, other criteria alone are not much of a water table. The results show that the the western part of the water table is located in a very low of zoning , which has very high mountains with high slopes, high rainfall, no fracture Quaternary and pasture. Eastern part of the basin is located in the area of medium and high underground water level only a part of the shores of Urmia Lake in this zoning has a very high water table. With very little gradient, local average precipitation, high permeability, active Quaternary faults, the garden and the city landuse. But the center of the basin zoning was very high with very low permeability, high slope, average precipitation and mixture of garden, forest and grassland usages. basin center located on high seismic intensity zone and density Quaternary faults. only because of the high level in the basin center of Silvaneh are active faults and a high intensity tectonic seismic.
Dr Zahra Hejazizadeh, Mr Meysam Toulabi Nejad, Mr Alireza Rahimi, Mrs Nasrin Bazmi, Mrs Atefeh Bosak,
Volume 17, Issue 47 (12-2017)
Abstract
The aim of this study is modeling spatiotemporal variations of albedo. This study was conducted using simultaneous effects of several components, such as wetness of surface layer of soil, cloudiness, topography and vegetation density (NDVI), using MEERA2 model with a resolution of 50 in 50 km during 2000-2010 in Iran. The results of spatial analysis of albedo values in Iran showed that the highest value is in 44 to 45 degrees of east longitude about 2.8 to 3.3 and the lowest value of albedo is also in 52 to 53 degrees of east longitude, that is, the eastern slopes of the Zagros Mountains, have been recorded at 1 to 1.5 units. In terms of provincial rank, the largest albedo is about 0.25 units in Ilam province and the Fars province is ranked next about 0.24 units. The lowest amount of albedo also in the Gilan provinces and in next Mazandaran province are about 0.19 and 0.18 respectively. In addition, the results of temporal analysis in seasonal scale showed that the highest albedo in Iran in winter was 0.26 and its lowest amount was recorded in spring with 0.23 units. In general, according to the factors used, it can be said that the western and central parts of the country have a highest albedo, and the north and northwest regions of the country have a lowest albedo.
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Volume 17, Issue 47 (12-2017)
Abstract
Suspended particles management is one of the important issues in controlling the air pollution of cities. These particles cause and develop heart and respiratory diseases in people. Mashhad is considered as one of the main and populous cities of Iran. Because of its climatic conditions and its tourism, the city is at the highest risk of this type of pollution. We attempted to use the multi-layer perceptron (MLP) artificial neural network and a Markov chain model to predict PM10 concentrations the city. We applied hourly data of CO, SO2, PM2.5 and temperature in late March and April 2015. Out of 1488 data series, 1300 data were used for network training and 188 data were used for validation. The results indicated the optimal performance of these methods in predicting of the amount of pollutants and also the probability of occurrence of hours with different quality of contamination. The best MLP artificial neural network model predicted the amount of pollutant particles with a coefficient of determination (R2) 0.88, index of agreement of 0.91 and a mean square error of 2.26. Also, the Markov model with average absolute error predicted about 0.1 percent of the probability of transferring the condition and the continuation of different states of air pollution caused by suspended particles.
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Volume 17, Issue 47 (12-2017)
Abstract
The attempt to recognize phenomena and affairs has always been a concern of the human mind and has constantly sought to complete this knowledge. The correct recognition is also achieved when the real nature of phenomena is clear to man. The phenomena are based on their own philosophical foundations and, therefore, their understanding requires perception these philosophical foundations and using proper methods of recognition. The map is also a phenomenon that has its own philosophical foundations and by understanding these philosophical foundations, the true meaning and the components that influence its meaning are clarified. Recognizing it correctly requires understanding many of the elements and other factors. To real understanding this phenomenon, one needs to understand beyond what is usually said about it. In this research, we tried to clarify the philosophical foundations of the map and the factors influencing its meaning by using of hermeneutical methodology. The results of this research showed that the map of the ontology aspect is of an objective-subjective nature. Therefore, it should be understood by methodology such as hermeneutics and not explanation. Also, using this method, it is determined that the mapping factors are divided into two categories. Internal factors, such as the choice of the type of projection and cartographic deviations and external factors such as, the mental purpose of the cartographer and the banners, understand map reader from map, and the spaces of thought, power, and so on make up the actual meaning of the map.
Dr Javad Sadidi, Dr Hani Rezayan, Mr Mohammad Reza Barshan,
Volume 17, Issue 47 (12-2017)
Abstract
Due to the complexity of air pollution action, artificial intelligence models specifically, neural networks are utilized to simulate air pollution. So far, numerous artificial neural network models have been used to estimate the concentration of atmospheric PMs. These models have had different accuracies that scholars are constantly exceed their efficiency using numerous parameters. The current research aims to compare Elman and Jordan recurrent networks for error distribution and validation to estimate atmospheric particular matters concentration in Ahvaz city. The used parameters are relative humidity, air pressure, and temperature and aerosol optical depth. The latter one is extracted from MODIS sensor images and air pollution monitoring stations. The results show that Jordan model with RMSE of 219.9 milligram per cubic meter has more accuracy rather than Elman model with RMSE of 228.5. The value of R2 index that shows the linear relation between the estimated from the model and observed values for Jordan is equal to 0.5 that implies 50% estimation accuracy. The value is because of MODIS spatial resolution, inadequacy in numbers as well as spatial distribution of meteorological station inside the study area. According to the results of the current research, it seems that air pollution monitoring stations have to increase in terms of numbers and suitable spatial distribution. Also, other ancillary data like volunteer geographic air pollution data entry using mobile connected cheap sensors as portable stations may be used to implement more accurate simulation for air pollution.
Professor Ghasem Azizi, , Leyla Sharifi,
Volume 17, Issue 47 (12-2017)
Abstract
Thunderstorms are major climatic events due to the significant effects and catastrophic consequences on humans and the natural environment. The researches have shown that the elevation and latitude factors are two variables that can affect the occurrence of this phenomenon. Therefore, the main aim of this study is to investigate the spatial analysis of the effects of lightning and its effects on the components such as elevation and geographic extent in Iran. Apart from this fact, firstly, the monthly data of thunderstorms occurrence in 118 synoptic stations of Iran, from 1991 to 2010 on a basis from the country's meteorological organization were obtained and GIS software was produced by the annual and seasonal maps of Iran. Then, for the spatial analysis of this climatic phenomenon, the method of landing statistics of the Kriging (Universal) method was to examine its seasonal and annual status. In order to better understand the effect of Thunder hurricanes from altitude and latitude using Curve Expert software, seasonal and annual charts, along with the correlation of each production, were analyzed. The results show that the highest annual thunderstorms occur in the northwest of Iran, and the least amount is consistent with the central and eastern parts of the country. In addition, according to seasonal analysis, although the station has the highest rate at 800 to 1,300 meters, the maximum occurrence of this phenomenon varies from 0 to 2200 meters in different seasons of the stations. The overall result shows that the factor of height is slightly correlated with the occurrence of the Thunder storm phenomenon and the highest correlation is due to the latitude factor.
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Volume 17, Issue 47 (12-2017)
Abstract
The purpose of this research is the simulation of the maize function to scenario of climate change to the present and future. So to survey the region climate, daily data, maximum and minimum temperature, precipitation and radiation have been utilized during the period of (1987-2016). In order to simulating of climate in future, firstly the date of IPCM4 model under scenario and 30’s and 50’s with downscaling LARS-WG model. Before the simulation yield of maize, APSIM model was evaluated and validated. To calculate the maize yield the output of LARS model, plant date and were utilized as the cropping input model of APSIM. By variance analysis maize yield was compared in present and future. The results showed that the APSIM model validation can simulate acceptable accuracy and climate parameters change effect on the yield rate of maize. And on the basis of the highest yield in Fasa the lowest in the city Abade in base line. In future under different scenarios of climate change, maze grain yield in Fars province except Abade, other cities are decreasing than base line.
Bakhtiar Feizizadeh, Ali Khedmat Zadeh, Mohammad Reza Nikjoo,,
Volume 18, Issue 48 (3-2018)
Abstract
Remote sensing technology is one of the most efficient and innovative technologies for agricultural land use/cover mapping. In this regard, the object-based Image Analysis (OBIA) is known as a new method of satellite image processing which integrates spatial and spectral information for satellite image process. This approach make use of spectral, environmental, physical and geometrical characteristics (e.g. texture, shape) together images contexts for modeling of land use/cover classes. The main objective of this study is to classify micro land use/cover of Meyandoab County by applying appropriate and effective algorithms and parameters in the object based approach. For this goal, Quick Bird and Aster satellite images were used within the integrated approach for processing and land use modeling. Accordingly, the land use map was classified in 9 class based on spectral and spatial characteristics. In order to perform OBIA, the segmentation was applied in the scale of 10, shape parameter of 0.7 as well as the compactness of 0.3. In terms of the classification task, fuzzy based algorithm and operators (AND, OR) was applied to detriment the membership functionality of segments for each class as well as classifying the related objects. We also applied textures, geometric, NDVI, GLCM, brightness algorithms based on fuzzy operators and assign class algorithm. In order to applying the validation of results, the accuracy assessment step was performed and the finally overall accuracy of 93.6 was obtained for the derived map. The Kappa coefficient was also detriment to be 0.92. The area under cultivation included respectively for lands of wheat and barley, prunes and plums, apples, vineyards and alfalfa hay2622.42, 4505, 4354.55, 4457.85, 14110.58 hectares.
Shahram Bahrami, Nadia Baghaei,
Volume 18, Issue 48 (3-2018)
Abstract
Landforms and geomorphological processes is the most important factors that affecting dispersion and quality of building materials. Case study, consisting of both new and old alluvial fans is located in the West of the city of Sabzevar. The aim of this study was to investigate the process of freezing and thawing in the durability and quality of materials taken from the alluvial fans old and new. To achieve this goal, we dug four wells in different parts of new and old of fans. The examples of large and small stones from the depths of one meter, two meters, three meters and four, wells were removed. Then to measure resistance of material, against freezing and thawing, freezing and thawing tests were performed on all samples. According to the test on three outcomes for this study was obtained. First: weight loss of samples of the new fans of head is greater, compared with other samples are taken because of the waters. Second, samples of the new fans head because the waters have greater weight loss compared with other samples are taken. Therefore, samples of new fans is fine-grained as possible. Thirdly, if the target is high-quality materials, best materials is made of metamorphic minerals, such as andesite and pyroxene.
Majid Yasoori, Seyedeh Fatemeh Emami,
Volume 18, Issue 48 (3-2018)
Abstract
The current study was conducted to investigate and explain poverty in Saravan village in Rasht city. In this research, survey method and structural equation modeling were used to present a model of based on results of the census in 2011, the number of villages in this district was 7 villages and the number of households was 4283 households. Morgan table was used to determine the sample size of the family heads living in rural areas of Saravan. Finally, 351 questionnaires were selected for family heads, which it was increased to 370 to obtain better results of the questionnaires. The results of a single sample T test indicate that the social and political indices are at good status. However, the T-value of the economic dimension is at the poverty status. The main reason for the poor status of this index is adequate consumption of fruits and vegetables in the household food plan, the inadequacy of housing space for children and the vulnerability of residential against earthquakes and accidents, and the sale of products indirectly through middlemen. It has caused respondents to consider lower scores for this index. According to the findings, the factor load of all items is confirmed in the social, economic and political dimensions.
Dr. Mostafa Karimi, Mis Fatemeh Sotoudeh, Dr. Somayeh Rafati,
Volume 18, Issue 48 (3-2018)
Abstract
Increasing CO2 emissions and consequently, air temperature causes climate anomalies which affects all the aspects of human life. The purpose of this study was to assess the temperature changes and also to predict the extreme temperatures in Gilan and Mazandaran Provinces. To do this, the SDSM statistical and dynamical model was used. As well, it was applied the Mann-Kendal graphical and statistical technique to analyze the temperature changes and its trend. In this regard, the daily temperature was obtained from Rasht, Ramsar and Babolsar synoptic stations during 1961 – 2010, and also the general circulation models data of HadCM3 and NCEP were collected from related databases. The results revealed a significant positive trend in monthly and annual minimum and maximum temperature in all three stations in the first (1961-2010) and third (1961-2040) periods. There is not a significant trend in extreme temperatures in Ramsar and maximum temperature in Rasht in the second period (2011-2040). The Mann-Kendal graphical test was used for the yearly extreme temperatures in all periods. The results showed that it was occurred both increasing trend and suddenly changes or shifts at the 95% confidence level in all stations. It is occurred the highest of changes in monthly and annual of the minimum temperature at forecasted period (2011-2040). It was predicted extreme temperature to increase about 0.1 to 1.7° C. The short time oscillations and significant positive trend occurred in both the maximum and minimum temperature shows the temperature increase and climate changes in the future. Thus it is obvious the decrease in temperature difference in warm and cold seasons.
