2024-03-29T19:24:51+04:30 http://geographical-space.iau-ahar.ac.ir/browse.php?mag_id=16&slc_lang=fa&sid=1
16-2115 2024-03-29 10.1002
Geographic Space جغرافیایی 1735322X 2015 15 50 Identifying Suitable Areas for Sugar Beet Growing in Accordance with the Ecological Needs of Ardebil Province Sugar beet is one of the strategic corps of Iran. Based on climatic and environmental conditions in Ardabil province, growing sugar beet plays an important role in economic boom of local farmers. The objective of this study is to determine the ecological needs in order to identify the prone areas of the sugar beet growing and more efficient use of arable lands in Ardabil province. To this end, elements of climate were studied in the statistical period of 1988-2008 in local weather stations such as annual temperature, the temperature during the growth period (April – October), the annual precipitation, the precipitation of growth period (April – September). Also maps were drawn for layers of elevation levels, slope, orientation and the soil depth. The research process includes data collection, evaluation of layers using AHP, data entry into the GIS system, data integration and preparation of the final map. The research findings show that the province in terms of favorable condition for growing sugar beet, can be zoned into three areas: suitable (approximately 37%), average (25%), and unsuitable (38%). Sugar beet Ecological needs Hierarchical model GIS and Ardabil Province. 2015 9 01 1 18 http://geographical-space.iau-ahar.ac.ir/article-1-2115-en.pdf
16-1886 2024-03-29 10.1002
Geographic Space جغرافیایی 1735322X 2015 15 50 The Evaluation the Role of Cash Subsidies on the Economic and Social Welfare of Rural Families Case Study: The Rural District of Jaydar (Poldokhtar TownShip) One of the important aims of economic system is welfare increasing in the society. Regarding that they deem the achievement of sustainable development necessary in creation of welfare for all people. In this study is turned to the effect of cash subsidy on economic and social welfare of rural families in Jaydar rural district. The statistical community of the research‚ including the families of Jaydar rural district in Poldokhtar Township in the Lorestan Province contained 28 of inhabitant villages. In order to give effect to the subject and making objective the issues‚ 13 villages and 328 questionnaires were selected as sample using Cochran equation and because of the excessive volume of number of samples‚ we used the Cochran corrigendum method and 153 family questionnaires were distinguished. To describe and analysis‚ we used SPSS by way of one sample T test and for testing hypothesis we used correlation. The results shows that in the discussion of economic welfare‚ most effects of the subsidy is related to the family demand amounts increases and amount of nutrients. In the discussion of social welfare the high effect of performing this plan was in the amount of accessing to the services indicators and it had the desired effect on the nutrition cases improvement indicators and amount of diets variety. But indicators such as benefitting the hygienic‚ educational and leisure time had they not more effects. Therefore, it can be said that targeted subsidies increased the welfare of rural families. Subsidy‚ Welfare‚ Rural Families‚ Rural Development‚ Jaydar Rural District. 2015 9 01 19 37 http://geographical-space.iau-ahar.ac.ir/article-1-1886-en.pdf
16-1887 2024-03-29 10.1002
Geographic Space جغرافیایی 1735322X 2015 15 50 Analysis and Forecast of Tourism Industry Sustainability Indicators in Iran The purpose of this paper was analyzing and predicting of affected indicators to process stability in the tourism industry of Iran. In this regard, according to studies and surveys of leading experts, main indicators of sustainable tourism field to six aspects of economic, social, cultural, ecological, political and technological categories. The main research question was that from experts;#39 opinion, which indicators aspect has main priorities of assessment of sustainability to Iran tourism industry? And which indicators aspect can better predict of sustainability in process of Iran tourism industry? Accordingly, the aim of this research was applied research and its methodology was descriptive –analysis. For collecting of necessary data to the weighting of indicators for data analysis by Delphi survey method we used 15 expert opinions. In order to analyze data and answer the research questions we used fuzzy Delphi analytical hierarchy process method and discriminant analysis in SPSS software. The results indicated that the political dimension of Iran tourism industry sustainability indicators from experts;#39 opinion was greater priority to pay it in order to sustain this field, and cultural dimensions of sustainability indicators for tourism industry had a major role in forecasting in tourism industry sustainability of Iran. Sustainability Tourism Discriminant Analysis FuzzyDelphi Analytical Hierarchy Analysis Iran. 2015 9 01 39 58 http://geographical-space.iau-ahar.ac.ir/article-1-1887-en.pdf
16-1888 2024-03-29 10.1002
Geographic Space جغرافیایی 1735322X 2015 15 50 Temporal and Spatial Distribution of Rainfall in Tabriz County Using Hierarchical Cluster Analysis Precipitation acts as one of the most important elements of the climate. There has been much discussion and research in this regard. Spatial and temporal distribution of precipitation is very important in a place. This study aims at the understanding of the distribution of precipitation in specified time period for optimization of its use in agriculture, industry and human consumption. Estimation of flood and determination of the potential flooding and drainage system design, including the use of spatial and temporal distribution of precipitation is considered in the current research. To study the spatial and temporal distribution of precipitation in the city of Tabriz daily data from 11 stations were used for the period 1378 to 1388. To achieve the above objectives and zoning of the area in terms of precipitation, the first step was to prepare maps which were then converted to the data. Data were also used to remove cells outside the borders of original matrix that contained daily precipitation. The results showed that Tabriz county precipitation is separable into three distinct groups of with average precipitation, low precipitation and few others had some of the highest precipitation amounts. Precipitation Spatial Distribution Temporal Distribution Tabriz County. 2015 9 01 59 81 http://geographical-space.iau-ahar.ac.ir/article-1-1888-en.pdf
16-1889 2024-03-29 10.1002
Geographic Space جغرافیایی 1735322X 2015 15 50 Synoptic Analysis of Pervasive Hail Precipitation in the West of Iran Pervasive and severe hail precipitation has an effective and main rule on damaging to agriculture products in different earth zone. in order to study the dynamic and synoptically conditions of hail phenomenon in west of the country, used daily of hail precipitation of 30 synoptically stations of Kermanshah, Hamedan‚ Lorestan and Kurdestan states in a 10 year statistical period (2000-2010). 2 sample of pervasive hail precipitation which had more intensity than the other, recognized and chosen. The results showed that in the light of boarding period, 9 Am to 15 pm and between the months of the year, April and May had maximum values. Synoptic stations of Marivan, Baneh, and Bijar had maximum hail occurrence. Study of the atmospheric patterns showed, pervasive hail precipitation in the zone is the result of expansion of low pressure system which is located on the Red Sea and Sudan. In the day of hail precipitation the west of the Iran, settled in front of the trough and Arabian sea anticyclone system caused transferring of the warm and humid weather with northern-southern direction weather to the zone and while the strengthened Sudan low pressure system made suitable conditions for instability creation and hail precipitation. Studying omega maps, showed the convergence of edge level of 1000 hpa and strong divergence level of 700 and 850 Hpa. So that strong upwards flows ascended the warm and humid weather and prepared the ground for creating the intense instability. Pervasive Hail West of Iran SynopticAnalysis Low Pressure Convection. 2015 9 01 83 105 http://geographical-space.iau-ahar.ac.ir/article-1-1889-en.pdf
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Geographic Space جغرافیایی 1735322X 2015 15 50 Zoning of Landslide Hazard Using Entropy Model Case Study: Zar’ab Basin Actually landslide is the movement of non-condensing and condensing sedimentary layers on the inclined surface that could leave disastrous effects. Zar’ab basin with an area over 3973.94 km2 has 82 landslide spots, appears to be an unstable region. The purpose of this study was to prepare the zoning of landslide risk in the area and determine the factors that influence it. After conducting field and library studies and producing the map of landslide distribution, the effective factors such as geological formations, fault, slope, elevation and aspect were determined. Then we prepared the landslide map by using ARCMAP software and entropy model. The findings of this study show that 55% of the total landslide occurred in the medium-risk range, 37% in the high-risk range, and 8% in the low-risk range and the main reason for this was the effect of roads on the increase of landslide in the area. Entropy Landslide Zar’ab Zoning. 2015 9 01 107 123 http://geographical-space.iau-ahar.ac.ir/article-1-1890-en.pdf
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Geographic Space جغرافیایی 1735322X 2015 15 50 Application of MODIS Sensor and NDSI Index to Produce Snow Cover Map (Case Study of Bahar Watershed, Iran) Snow is one of the major sources of water in most parts of the world. Hydrology and climate studies determine that the snow cover surface area to be one of the important parameters of snow. One of the tools that has lots of uses in the watershed snow cover survey and hydrological properties is remote monitoring by satellites images. MODIS imageries compared with other images like NOAA has better spatial resolution and more bands and is better for this surveying. Therefore in our study for mapping of snow cover we used MODIS images and NDSI indicators. In the snow mapping algorithm, at the first stage the NDSI index snow was isolated but for discrimination between snow and other wet lands we used the thresholds in 2, 4 and 6 bands. The results showed that the NDSI index in conjunction with the thresholds has appropriate effects for this purpose. In this research, the average error of snow cover maps including the error NDSI index was less than 20 percent. Snow Mapping Algorithm NDSI MODIS Bahar Watershed 2015 9 01 125 140 http://geographical-space.iau-ahar.ac.ir/article-1-1891-en.pdf
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Geographic Space جغرافیایی 1735322X 2015 15 50 Analyzing Desirable Residential Environment of the Esfahan City in the Vision of Municipal Managers Looking at the issues on urban literature in recent years and written numerous and various articles and books in field of "quality of residential environment" indicates the focus and attention of urban thinkers and theorists to this concept. In this survey with the aim of desirable residential environment analysis in Esfahan city we tried to identify the desirable residential environment and the parameters affecting the quality of the environment in order to improve the quality of residential environments. Survey data collected from the questionnaires in municipal senior executives have been analyzed with the use of analytical-descriptive method, Topsis technique and cluster analysis with in SPSS software. TOPSIS technique introduced that Abshar, Nazhvan, Mehr Abad, Abbas Abadand Dashtestan respectively, as the top five residential environments from the vision of municipal senior executives in the Esfahan city. Cluster analysis results classify desirable residential environments in four groups according to the survey index. Among factors affecting the quality of the desirable residential environment, various factors influence this quality among which, cleanliness and hygiene residential environment was the most important factor and access to historical-cultural complexes are considered as the lowest factors. According to the affecting factors on the quality of the desirable residential environment, seven ways have been presented for improving the quality of residential environments. Temperature Harmonic Analysis Cluster Analysis Natural Seasons South of the Caspian Sea 2015 9 01 141 164 http://geographical-space.iau-ahar.ac.ir/article-1-1892-en.pdf
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Geographic Space جغرافیایی 1735322X 2015 15 50 Determining the Natural Seasons of the Southern Caspian Multivariate Statistical Method (Case Study: Guilan Province) In this study to determine the natural seasons of the Southern Caspian Sea, data average for the maximum and minimum temperature and average monthly area for 13 stations in the range were studied for a period of 20 years (1986 to 2006). To analyze the data the harmonic and cluster analysis methods were used. The results of the data analysis show that in the south of the Caspian Sea the year can be totally separated in three main seasons: hot, cold and transitive. In most stations, each of the hot, cold and the total cold and transitive seasons is composed of four months, but the natural seasons in the south of the Caspian Sea do not match with the beginning of the seasons’ calendar. The number of the months related to the hot seasons for every station is about four or five months and is included the months June, July, August and September and the months related to the transitive season are included in some stations between two to five months and they are April, May, October, November and December. In the end the number of the months related to the cold season in stations were variable from three to five months which they are included in November, December, January, February, March and April. Although Zanjan the coldest and Gilvan the warmest are among the stations of the range under study, it is observed that there are two seasons in these stations and it should be noted that the seasons variation from hot to cold occur in more humid stations of a gradual coast and in the longer term, but the same event for the stations that are far from coast and are higher occur in a shorter period. Harmonic Analysis Cluster Analysis Natural seasons South of the Caspian Sea. 2015 9 01 165 181 http://geographical-space.iau-ahar.ac.ir/article-1-1893-en.pdf
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Geographic Space جغرافیایی 1735322X 2015 15 50 The Creation of Geographic Information Systems for Management of Underground Facilities (Case Study: Owner Shaihk Shahbbaddin Ahar City( Geographic information systems exploit numerous tools to analyze various spatial data sets. The ability of analyzing spatial data makes GIS distinct from other systems. Enterprise GIS (EGIS) can be used to share spatial data and analysis tools between different local governments such as members of drilling committee to efficiently perform their common tasks. It increases the coordination between local governments in order to do their common tasks and reduces the cost and time of performing these tasks. In this paper different steps of implementing an EGIS in order to coordinate drilling activities across a city have been explained. These steps include need analysis, and creating external, conceptual, logical and physical models for spatial database as core of EGIS which have been discussed in this paper. The case study of the research was town of SHYKH Shahab-e-din and a pilot project for drilling committee of this town has been implemented in the ArcGIS software environment Drilling Committee urban an underground facility Enterprise GIS. 2015 9 01 183 207 http://geographical-space.iau-ahar.ac.ir/article-1-1895-en.pdf
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Geographic Space جغرافیایی 1735322X 2015 15 50 An Evaluation of Deterministic and Geostatistics Interpolation Models to Precipitation Regionalization in Ardebil Province Two deterministic methods [Radial Basis Functions (RBF) and Inverse Distance Weighting (IDW)], and two stochastic interpolation methods [Kriging and Co-Kriging] have been evaluated to estimate the annual precipitation in Ardebil Province. For this purpose, we used data taken from various stations across the province [4 synoptic stations, 1 climatological station and 24 rain gauges], over a decade (2005-1995). The performance of the above model was examined using cross validation and the indices of Mean Bias Error (MBE), Mean Absolute Error (MAE) and Root Mean Square Error (RMSE).Finally, to identify under-estimated and over-estimated areas of each method at elevations above the spatial distribution of stations, the output of each model was examined. The results suggested that Kriging model had lower errors than other methods and was more compatible with the elevation surfaces. Therefore, this method was identified as the best option for estimating f precipitation in areas without adequate data and intense topographic gradients in Ardebil Province. Precipitation Mapping Deterministic and Stochastic Interpolation Methods Cross Validation Ardebil Province 2015 9 01 209 231 http://geographical-space.iau-ahar.ac.ir/article-1-1896-en.pdf
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Geographic Space جغرافیایی 1735322X 2015 15 50 Statistical Analysis and Prediction of Short-term Stormy Periods of Sabzevar by Markov Chain Model About 90 percent of the world's natural disasters occur in relationship between climate factors and among them, the storm accounts for about 30% shares of this disaster. Thus, given the importance of this issue, in this paper two-state Markov chain was used to analyze and forecast of stormy days in Sabzevar city. For this purpose, the daily wind in Sabzevar station during the period (1390-1350) was obtained. The days of storm (code 1) and non- storm (code 0) were divided into two groups. The results of data processing show that the maximum frequency of stormy days 79 days occurred in 1385. During the study period, April with 113 days of stormy, had the highest frequency, and on the contrary, November with 19 days of stormy, had the lowest frequency. In other words Spring was stormy and Autumn was calm season is in Sabzevar. Seasonal results of Markov probability matrix showed that the occurrence of two consecutive stormy days in all seasons is not more than 20%. The minimum (10%) and maximum (19%) probability occurred in autumn and Spring, respectively. However, the probability of two consecutive non- stormy days in all seasons is not less than 90 percent. Later determined the shortest air cycle with approximate duration of 16 days in Spring and also the largest with approximate duration of 45 days in Autumn have been observed. Also, throughout the investigated period, the one-day and two-day stormy sequences had the highest frequency. Sabzevar Markov Chain Model Short-term Stormy Periods. 2015 9 01 233 250 http://geographical-space.iau-ahar.ac.ir/article-1-1897-en.pdf