Showing 93 results for Analysis
Mr. Ayat Jahanbani, Mr. Ali Shamie, Mr. Habib-O-Llah Fasihi, Mr. Taher Parizadi,
Volume 0, Issue 0 (3-1921)
Abstract
Resiliency is one of the approaches to reducing the vulnerability of communities and strengthening peoplechr('39')s ability to deal with the dangers of natural disasters, especially earthquakes, and has economic, social, institutional, physical, and environmental dimensions. This research is applied in terms of purpose and descriptive-analytical in terms of nature and research method. The researcher-made questionnaire with 102 items was a tool for collecting research data. The sample size was 386 simple based on Cochranchr('39')s formulas and the sampling method was random. Exploratory factor analysis and path analysis were used in the SPSS25 software platform for data analysis and factor modeling. The results indicate that Parsabad city has the lowest scores in terms of social and physical resilience and is in a moderate to good condition; environmental resilience is in a moderate condition, institutional and economic resilience are in a bad situation. Also question factorization, 13 factors for social dimensions, (behavior during the crisis, crisis awareness, crisis preparedness, knowledge, cooperation, trust, assistance, reliance, interaction, accuracy, attitude, first aid, and necessary measures); 3 factors (Damages, Compensation and ability to return) for economic dimensions; 5 factors (performance of public institutions, the performance of semi-public institutions, institutional communication, institutional measures, and institutional context) for institutional resilience; 4 factors (open space, building resistance, public access and Relief access) for physical resilience and 3 factors (environmental, nutritional and soil factors) for environmental resilience. Finally, the modeling of resilience indicators for Parsabad city was presented.
Mostafa Taghvaee, Sadroddin Motevali, Gholamreza Janbaz Ghobadi,
Volume 0, Issue 0 (3-1921)
Abstract
Cities occupy vast areas. These fields are composed of different topographic and morphological units. As cities develop and expand, their dealings with various units of topography and geomorphology and related topics increase. Geomorphological units are always associated with the dynamism of the natural environment. Any action for the development of cities in some way intersects with the mentioned dynamism and detachment, and consequently with morphological phenomena. In this approach, if some necessary principles and points are not observed, the morphodynamic balance of the environment will be disturbed and the great dangers of most of the equipment and facilities of the city will be threatened. Sometimes the intensity of morphogenesis is so high that it produces irreversible results. The present study is descriptive-analytical in terms of purpose and in terms of data collection method and in the form of a survey or field in which the researcher has made a questionnaire. The purpose of this study is to investigate the role of roughness in coastal city planning using a comparison of AHP and AHP FUZZY hierarchical analysis in Noor city. In addition to the main goal, The results showed that in the early stages of the planning process, simple methods can be sufficient when identifying development options as a focal point. Under these circumstances, the choice of advanced and technologically advanced methods does not necessarily produce different results. However, when planning needs to identify the spatial extent of the desired development area, it would be ideal to consider the intersection area proposed by both methods
Dr Shahrivar Rostaei, Dr Rahim Heydari Chyaneh, Mr Ayoub Zoghi,
Volume 0, Issue 0 (3-1921)
Abstract
As cities become more physically in structure and demographically wider, the rate of crises is also increasing consequently, and cities become more vulnerable to natural disasters for a variety of reasons, including economic and cultural poverty, fault alignment and non-compliance to regulations of earthquake-related issues. What matters is the level of community's preparedness and the degree of vulnerability of the city and its residents, which can be reduced to the lowest level if properly planned and principle policies are adopted. In this research, considering the high potential of Sanandaj in terms of seismicity and the existence of many faults in the vicinity and around of the city, it is tried to gain an authentic understanding of the subject with identifying the factors affecting the earthquake and combining indicators using the Classification Tree Analysis (CTA) model. The results indicate that a large area of the city is in the category of moderate to high vulnerability.52% is in the middle vulnerability category, 16.5% is in the high vulnerability category and 1% of the city is considered to be in the very high vulnerability category, which exactly matches the same marginal, old and densely populated neighborhoods. This situation does not render a proper structure and needs more consideration in prospective development plans.
Dr Hassan Kharajpour, Dr Zahra Hejazizadeh, Dr Bohloul Alijani, Dr Mohammad Hossein Nasserzadeh,
Volume 0, Issue 0 (3-1921)
Abstract
Considering the undeniable impact of agricultural plants on climatic and regional changes, it seems necessary to conduct regional research to understand the reaction of each agricultural plant in different stages of growth in relation to weather elements. If the temperature of the air along with the warm cloud is lower or higher than a certain threshold, its development will stop. Between the two limits, there is an optimal temperature where the plant grows the fastest. Temperature and clouds are both the most important climatic elements in agriculture. Both climatic parameters together cause stress in wheat and lower the productivity of the product. Considering the strategic nature of wheat, in order to increase the level of production, in the present research, while taking advantage of the experiences and methods and models used in foreign and domestic researches, it was practical in Kermanshah province due to the extent of the land under wheat cultivation and The significant amount of production, which has a special place in this field at the level of the country, the determination of the statistical threshold and the synoptic analysis of warem cloud temperatures on the performance of the wheat crop are investigated. According to the investigations and consultations with agricultural engineers, the maximum temperature along with cloudy days causes the phenomenon of greenhouse and excessive heat, which causes the fall of flowers, rot, sterility of pollen grains, fruit reduction, Premature aging and poverty become seeds, and this phenomenon occurs mostly in the months of May and June.
Sedigheh Mohammad Panah, Hamidreza Varesi, Masoud Taghavei,
Volume 0, Issue 0 (3-1921)
Abstract
The use of structural analysis of development drivers helps planning to better understand the development situation of the provinces and improves the regional balance during decision making. For this purpose, the ten cities of Ilam province were examined in terms of combined development indicators in the form of 44 indicators. This research is an applied study in terms of targeting and in terms of methodology, it has been done in a "descriptive-analytical" way and is explanatory based on new methods of futurology. Theoretical data have been prepared by documentary method and experimental data by survey method. The development drives has been extracted from the documentary method and environmental scanning and experimental data based on the survey method based on the Delphi method. In data processing, structural interaction analysis method has been used in MIC MAC software. Findings in terms of interaction analysis indicate the dispersion of propulsive forces in a complex and intermediate situation of impact and effectiveness; the drivers clustering system indicates the focus of effective and regulatory drivers. Among the 44 driving forces of development, the effective drivers of development are the borders of Ilam province and the manner of managers' decisions. Research results show that development in Ilam province is not only unbalanced, but the imbalance trend applied towards more inequality and only by better and more comprehensive planning can be partially eliminated inequalities.
Mrs Elham Zamani, Dr Behshid Hosseini, Dr Hossein Zabihi,
Volume 0, Issue 0 (3-1921)
Abstract
The analysis and evaluation of rural housing texture requires a wide range of effective factors, environmental and ecological factors are one of the important factors. Sub-climates and so on are among the factors affecting the texture of rural housing. In order to understand the environmental factors and the context of a villagechr('39')s mountainous habitat, the need for long distances and precise manual harvesting requires specific difficulties, including distance, time, cost, and ultimately uncertainty. It brings the quality of the final harvest. On the other hand, due to the increasing trend of rural housing development in recent decades and the lack of coordination of new tissues in terms of density with previous ones, it shows the indifference of these housing to the former housing and the environmental context of the villages. Today, new computational and numerical tools in architecture, with the advent of advanced mathematical knowledge in the field of architecture, have brought new dimensions to this field. Will provide. The main purpose of the present study is to investigate the effect of green and dry tissue densities as natural factors on the density of densely populated villages in different climates. This in addition to identifying the density of village textures by emphasizing the comparison of parameters will illuminate new dimensions in the context of village stairs. The simulation analysis tool is a densitometry algorithm based on aerial maps, written by the research authors. The algorithm based on negated aerial maps has the ability to detect natural tissue density in the context of village formation and residential texture. This will reduce the need for physical presence and improve the accuracy of outputs in the analysis of village texture, as well as parameter identification. , The condensation pattern of previous generations into the new generation of housing Will provide a star.
Shahram Emamgholi, Gholamrezaa Janbaz Ghobadi, Parviz Rezaei, Sadroddin Motevali,
Volume 0, Issue 0 (3-1921)
Abstract
Temperature is one of the basic elements of climate, so its sudden or short-term and long-term changes can change the climate structure of any place. Intense heat waves are one of the most important climatic disasters that have far-reaching effects on various human activities and when they are of high intensity and frequency, they can produce major problems. In this study, to investigate the trend of 49-year frequency series (1970-1970) of hot wave events in Tehran, from two indices of hot days and hot waves (hot days lasting 2 days or more), non-parametric statistics of Sens trend analysis were used. All stations indicate an increasing trend both in the number of hot days in Tehran and in the frequency of hot wave events in 5 stations in Tehran. In this study, two hot waves were identified in Tehran, the first wave in 2010 covered a large part of the central and western parts of the country and the second wave in 2013, which was in all stations of Tehran and even many provinces. Are registered in the country. The results of spatial analysis of hot wave temperature in the statistical blocks of Tehran showed that generally the central areas of Tehran, including areas 6, 7, 8, 10, 11, 12, 14, 15, 4, 7, and 19 significantly It has been affected by the critical temperatures caused by the warm wave rule, while the northern parts of Tehran have been affected by the lower intensities of the hot wave.
Hossein Asakereh, Mehdi Dostkamian,
Volume 15, Issue 36 (6-2015)
Abstract
All the water vapor of atmosphere is contained in a column of the atmosphere that is capable of precipitation and it is from the ground to the final of water vapor called perceptible water. This element influenced by topography and height. The purpose of this study is survey about impact of local and spatial factors on distribution of perceptible water maximums in Iran.For this reason, pressure data, especially moisture, orbital and meridional components extracted from NCEP/NCAR and analysis. Correlation and regression methods were used in this study. In order to better survey about perceptible water gradient changes and gradient changes of maximum of perceptible water has been calculated. Results showed that among the spatial factors, height has greatest impact on the spatial distribution of the maximum of perceptible water. Unlike many scientists who believe that by increasing the latitude perceptible water reduced, this rule is less In Iran atmosphere. However, most of the gradient changes of perceptible water occurred in some parts of the Zagros highlands, West and South West. The results of cycle analysis showed that the maximums of perceptible water in Iran have short term cycles between 2 to 4 years.
Hakimeh Behboudi, Mohammad Saligheh, Ali Bayat, Akram Zakeri, Fatemeh Jamali,
Volume 15, Issue 36 (6-2015)
Abstract
Understanding weather zoning and knowing homogeneous climate regions are essential for land use and regional planning. The aim of this study was to compare three different geographical climate of Iran, the Caspian coastal, mountainous and arid interior of the provinces of Mazandaran, Semnan, Tehran, Qazvin, Qom, and Markazi. In order to do this study, climatic data of 56 synoptic and climatology stations and 19 climatic elements were used by using cluster analysis and factor analysis models. For this purpose, a matrix with dimensions of 56 x 19 and the R configuration and as a database was used for segmentation. By applying factor analysis based on principal components analysis with Varimax orthogonal rotation it was determined that in the climate of these three regions, four factors of humidity, temperature, dust and thunderstorms are affecting more than 85% of the total variance of the climate of this region. The hierarchical cluster analysis method and integration into the matrix of factor scores, four main and several sub-region areas were identified.The main areas are hot, dry desert area, low rainfall mountain slopes, the mountainous and cold and semi-rainy regions and high rainfall and finally the moderate high rainfall. The study of four areas and their local and regional conditions shows that the neighborhood with humidity source such as the Caspian Sea and rough configurations such Alborz Mountains play a decisive role in the formation of north sub-areas.
Hamid Jalalian, Fariosh Namdari, Asghar Pashazadeh,
Volume 15, Issue 36 (6-2015)
Abstract
Nowadays most of the countries have chosen the tourism as a development strategy for the rural areas. The Hajij village with worthy natural, cultural and anthropological heritage has known as a tourism destination in Kermanshah province and west of Iran. In this research, the effects of tourism are studied in this village. The methodology is descriptive-analytic method. The necessary data were collected through both library and field methods. The population of this study equals to 180 persons- based on Cochran Table- including the 130 residents, 15 local governors and 35 visitors were selected by simple random method. Research tools include a researcher made questionnaire which its validity was confirmed based on the collective opinion of the universities professor's and experts of executive organizations. The reliability of the questionnaire was calculated at 0.867 using Cranach’s alpha test based on 20 pretesting. Data analysis was held by factor analysis in SPSS 21 software. The research findings showed that there are six main factors among 30 variables which interpret 70 percent of the variance of the tourism effects the most important is physical- facilitator effects. Moreover, the positive effects were %65.8 and the negative ones were %34.2 based on factor analysis.
Mohammad Darand,
Volume 15, Issue 37 (9-2015)
Abstract
The aim of this study is synoptic analysis of heavy precipitations in Kurdistan Province during 1/1/1961 to 31/12/2010(18263days). By using two thresholds of extensively and intensity of precipitation, 107 days have been recognized. In temporal view, the selected days occurrences in wet seasons of year that start from October to June. By applying the principle component analysis on the sea level pressure during the 107 days, the results showed that 12 components explain about 93 percent of sea level pressure variation. The results of the applying cluster analysis on the component score showed that two circulation patterns result in occurrence of extreme and heavy precipitations in Kurdistan province. In order to recognize heavy precipitation in dry season (June to October), the area mean precipitation for the province have been calculated. According to the 99 percentile threshold and extensively of precipitation the heavy phenomena recognized. By two thresholds 32 days selected and same as to the wet season precipitation the sea level pressure data from NOAA extracted. The data analyzed by Principle Component Analysis and 11 components extracted that explain the 93 percent of variation sea level pressure in the frame study. By doing cluster analysis on the 11 components, one pattern recognized for the sea level pressure. The results showed that in lower atmospheric levels (1000, 925 and 850 hpa) occurred highest convergence on the study region during wet season. The source of humidity in the lower levels is Arabian, Red, Oman, Persian Gulf and Mediterranean Seas. In the high level atmosphere, the value of convergence is low. The sources of humidity in high levels atmosphere are Red and Mediterranean Seas. In the mid level atmosphere (500 hpa) the presence of trough results in nutrition of the instability on the study region. Also during dry season, the highest moisture flux convergence occurred in the low levels but the resource of the moisture is Caspian Sea. In the upper levels (from 700 hpa to up) in addation to Caspian Sea, Mediterranean and Red sea are the resource of heavy precipitations.
Sadegh Asghari, Gharib Fazelniya, Morteza Tavakoly, Marzie Shoghi,
Volume 15, Issue 37 (9-2015)
Abstract
Sustainable development is an environmental concept appropriate to our era that nowadays in all of economic, social, environmental and physical-spatial aspects is considered and focused by everyone. In these times, global organizations that are working around the issues of sustainable development, emphasis on rural sustainable development, which seeks to improve rural living standards and welfare of the inhabitants of the villages, because at present time, the procedure of socio–economic variations accompanied by increasing migration of human groups is led to evacuation of villages. With attention to the importance of the subject and the increasing instability of the villages, present study was done for determining the effective factors on rural instability and measuring the intensity of this instability in Kaki District of Dashti Township. The research method is descriptive - analytical in which whole inhabited villages of Kaki District of Dashti Township were surveyed. In this regard, according to the number of households living in villages and using the Cochran formula, 255 questionnaires were calculated for questioning andthese questionnaires have been completed in the villages in proportion to the population of each village. In these questionnaires, 34 indicators related to the four dimensions of sustainable development (environmental, social, economic and physical-spatial) are considered. In order to determining instability intensity of the villages and their spatial analysis, is used AHP method in Expert Choice and ArcGIS software. Also SPSS software is used for statistical analysis. The results show that at the present time, all villages have various degrees of instability. In this regard, 65.8 percent of these villages have severe or very severe instability.
Hossein Zarean,
Volume 15, Issue 37 (9-2015)
Abstract
Trees can record long-term effects of climate variables. Using dendroclimatology knowledge, we can reconstruct such variables especially for areas which have short-term climatic data. For this purpose, we reconstructed the temperature degree of the warm months (May-September) through annual rings width of Quercus persica and regression analysis of data obtained from stations on Dena region. With this goal in mind, three growth heights were selected in Dena Forests and 52 growth samples from 26 bases were extracted and their growth rings width were measured with LINTAB5 with an accuracy of 0.01 mm. After cross dating stage, to eliminate non-climate effects, May to September temperature average and tree rings time series were standardized. The Residual Chronology (RES) calculated by ARSTAN was calibrated with temperature degree of the period 1882-2011 and its positive and significant correlation with the width of growth rings was confirmed. Based on the relations between the calculated chronology and joint statistical temperature degree data, the reconstruction of temperature degree of the warm seasons for over a century was performed and it was found that in the last three decades, region's average temperature of May to September had an increase in comparison to the average of the previous century.
Malihe Izadi, Hamid Reza Varesi, Mahmod Mahmodzadeh,
Volume 15, Issue 37 (9-2015)
Abstract
Attention to housing and planning in line with sustainable development in the framework for planning national and regional is to our use of the knowledge and techniques of programming, existing situation and issues related to it is made clear that. To the main goal this research study and the analysis of the most tiresome effective in planning housing classification level and province of the country based on.This is a descriptive method of research-analysis. collecting data with the use of the results of the census and public housing in 1390 and resources library and documents and evidence have been done. The index of the study, 27 indicators inclusive of housing is a little bit you returned home Models based on regional planning(Multi-criteria decision analysis Vikor) Has beenanalyzed. Using a factor analysis technique, These four factors were total 91/18 % of the variance explained Calculation of productivity. The provinces have indices using vikor. Based on this classification level, Esfahan(Zero coefficient),Golestan(Zero), Tehran(zero), East Azerbaijan(0/079 coefficient) in first to fourth levels are very Brkhordar And Semnan provinces(0/87),Ardabil(0/88), Sistan and Baluchistan(0/90) ,Bushehr(0/90), Lorestan(0/91), Hormozgan(0/91),Mahal Bakhtiari (0/92), Kohkiluyeh &Bourahmd(0/94),Qom(0/94),North Khorasan (0/96) and Elam(1), Respectively, and thelastlevelsvery brkhordar havetheleast.
Yadollah Balyani, Mohammad Saligheh, Hossein Asakereh, Mohammad Hossein Nasserzadeh,
Volume 15, Issue 37 (9-2015)
Abstract
Precipitation is one of the most intractable elements. The oscillating behavior of the crucial environmental planning (explicit and tacit knowledge of the behavior), is the key variable. Spectrum analysis techniques to understand the behavior of overt or covert methods suitable for the extraction and analysis of climate oscillations with different wave lengths. The size range of the distribution variance across all wave lengths may provide time series. In this study, data from 37 stations Heleh and Mond watershed (both rain and synoptic) from its inception until 2011, who had over 30 years of data, to analyze the cycle of annual rainfall, interest has been taken. So that the space is 3-2 year cycles in every area of study, the highest annual rainfall events are returned. On this basis, the Story of annual precipitation 95 percent for each of the stations under study and cycle meaningful estimate of the time series of basin data were extracted.
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Volume 16, Issue 42 (12-2016)
Abstract
In this study is predicted the groundwater level of Sharif Abad catchment using some artificial intelligence models. For this purpose used of monthly groundwater levels for modeling in the three observed wells located in the Sharif Abad watershed of Qom. To compare the results of the hybrid model of wavelet analysis-neural network (WNN), genetic programming (GP) multiple linear regression (MLR) and artificial neural network (ANN), two criteria of root mean squared error (RMSE) and nash-sutcliffe coefficient of efficiency (E) is used. The results of the study indicated that the WNN models provide more accurate monthly groundwater level predicted in compared to the ANN, GP and MLR models so the nash-sutcliffe coefficient in WANN model for piezometers 1, 2 and 3 are 0.98, 0.98 and 0.95, respectively.
.
Mohammad Hassan Yazdani, Ali Soltani, Hossein Nazmfar, Mohammad Amin Attar,
Volume 16, Issue 42 (12-2016)
Abstract
Urban segregation has been a problem of many cities of the world. Many researchers have interested in the urban segregation issues. Urban segregation has strongly concentrated poverty and created underclass. Different types of urban segregation exist, including income and racial or ethnical segregation, and depending on the contextual mechanisms within a city. To understand and plan a better community, urban planners needs to know how to measure the segregation and interpret the results. There have been many developments of segregation measures. Some evolved and some remained unchanged. This paper is studied the most used multigroup measures of residential segregation (8 indicators) in Shiraz city and between different socio-economic groups of it by using of the Segregation Analyzer Software. In general, the results show the occurrence of segregation in the medium amount to the high amount and by the calculated values of 0/7177, 0/5785, 0/5474 – 1, 0/5407, 0/3969, 0/3759, 0/3613, 0/3375 in the city of Shiraz. On the other hand, the use of Hot spots Analysis in the study area shows that the greatest concentrations of the socio-economic high group are in almost near the center of Shiraz city and the northwest of city, and for the socio-economic medium group exists in the west of city. Also there is the greatest concentration of the socio-economic low group in the southwest of Shiraz city.
Aliakbar Anabestani, Hamdollah Sojasi Qeidari, Fahime Jafari,
Volume 16, Issue 43 (12-2016)
Abstract
The rural guide plan is the most important tool in the management of rural development in Iran. The final purpose of the plan, improvement of life quality and providing a safe and attractive environment to live in rural areas. The aim of this study is to emphasize the characteristics rural guide plans, which include: Improve the quality of housing, street network, land use and access to services, environmental rural its effects on the objective quality of life of the villagers tested. The research method in present study was functional in terms of purpose, and analytical-descriptive and solidarity methodologically. The study population was selected from 22 villages in which guide plan had been implemented, among them 8 villages with a population of 3835 households was selected by using sampling method. From the selected villages by using sampling method (Cochran), 249 randomly selected rural households were interviewed. Data collected from the questionnaires, were analyzed using the statistical analysis methods in SPSS, and Fitness model search EQS software. According to the results of Pearson's correlation tests, the findings of present study showed a significant and strong correlation between implementation of rural guide plan and the mental facet of life quality by a 0.75 correlation coefficient, so that rural guide plan explained 57% of the variation of dependent variable, and among guide plan dimensions the changing environmental rural affected the objective improvement of life quality of villagers by 29 percent. There is a direct and complete correlation in spatial distribution of relationship between the implementation of guide plan and the objective quality of life in 8 study villages.
Nader Parvin,
Volume 17, Issue 46 (12-2017)
Abstract
studying and identifying the middle levels change affecting the formation of a circular pattern creation is inevitable. In this study, the annual rainfall data for selected stations Zab River Basin during the period 2015-1986 were the standard time. After indexing and spatial-temporal threshold, 184 days without rainfall were selected in the wet period of three severe drought in the region. Level 500 HP height data located in the range of 0 to 80 degrees northern latitude and eastern longitude on dry days as a matrix S_Mode were used and these data using principal component analysis were processed using modern statistical methods. Based on the correlation matrix, the main focus of the 500 HP topography of the basin dry days were identified and analyzed. The results show that, in the happening time of dry days, twelve atmospheric middle levels of height change focus have been effective. In this regard, the following two centers having the highest anomalies (R≥0.7) are detected according to the high levels of the atmosphere: 1) the center of Eurasia-Africa, 2) the center of West Africa, respectively, 48% and 10% of the total area of the study. Such changes in middle atmospheric levels cause to strengthen and deepen the traffic axis and on the ridges. In the meantime, the change of first center has the highest impact on creation of stability and domination of dryness in days of Zab River Basin.
, , ,
Volume 17, Issue 46 (12-2017)
Abstract
This research tends to analyze and assess the impact of intercity flows rate on land use changes around the community roads of the cities of Babol, Ghaem Shahr and Sari. This research is descriptive-analytic and performed in quantitative method. A wide range of techniques including gravity model, flow analysis model, entropy analysis and GIS software environment were applied for performing required analysis. Research findings show that increase in passenger transfer and cargo transit in the community roads of the cities of Babol, Ghaem Shahr and Sari, resulted in increase in applications for land use changes around these roads; of course, the impact of passenger transfer (with correlation coefficient of 0.72) was higher than cargo transit (with correlation coefficient of 0.43). Concerning their existing interactions and multicenter of the studied area (based on entropy analysis), codification of control system and integrated spatial management is hereby suggested in form of a comprehensive urban plan toward supervising and managing land use changes in suburban areas of the aforesaid cities.
