Showing 98 results for Analysis
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Volume 17, Issue 46 (9-2017)
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.
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.
Ali Reza Karbalaee Doree, Sayyed Mohammad Hosseini, ,
Volume 17, Issue 47 (12-2017)
Abstract
Air pollution is one of the most important natural hazards in cities that is one of the priorities of climate research. In this research, synoptic situation of days polluted by ozone in Tehran have been studied and by environmental to circulation approach and cluster analysis. At first, was formed a matrix in 2417*41. Rows are indicated days and columns represent the number of stations. by cluster analysis and Ward method eight different clusters were identified. The results showed that the frequency of the ozone days have a seasonal trend and more can be seen in the first half of year in these cases the establishment subtropical high pressure in Iran. Therefore, cause the persistency of pollution in Tehran.
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.
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
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..
Shamsollah Asgari, Amir Safari, ,
Volume 18, Issue 50 (3-2018)
Abstract
One of the important and effective factors in the destruction of natural resources is the flood phenomenon, identification of this phenomenon and effective parameters in flood occurrence in natural resources and catchment areas is necessary. The purpose of this study was to determine the flooding of sub-basins in Jafarabad basin in Ilam province. In this research, the Jafarabad basin in Ilam Province is divided in to 12 sub-basins. For each sub-basin, 28 geometric, climatic, permeable and physiographic parameters such as area, environment, length and slope of main stream, length and slope of the basin, time of concentration, The coefficients of shape and variability of precipitation, vegetation cover, CN, discharge and ... have been calculated using GIS software. Factor analysis was used to determine the flood potential of the sub basins. The data of 28 sub-basin variables were analyzed by SPSS software and summarized in 5 main factors (shape, flow, slope, drainage and runoff). The results indicate that the factor of the form with a specific value of 11/30 is the most important factor in the flooding of the studied basin. Channel, slope, drainage and runoff factors with a specific value of 7.21,4.34,3.22 and 3.10 respectively Priority is in the next rank. Then, based on the factor scores of the study area, three large, medium and low flooding categories were mapped and a zoning map of the flood potential of the sub-basins was drawn in the GIS environment. Sub-basins (9,8,5,3) in the shape of the sub-basins (1,6,11) in the gradient factor, sub-basins (2, 7) in the drainage factor and in the runoff factor of the sub-basins (4,10,12 ) Have a lot of flood potential. In sub-basins, the similarity of flooding, erosion, vegetation, and human performance impacts is divided into 3 groups with high, medium and low flood potential. Sub-basins play a major role in the flooding of the basin, which affects the vast agricultural fields of the lower reaches.
Ali Asghsr Abdollahi, Moslem Ghasemi,
Volume 18, Issue 50 (3-2018)
Abstract
Analysis probative spatial data method for checking patterns spatial accidental and accidental is distribution variables spatial and correlation spatial from more usage and more important tools Analysis for is the research in the case spatial data. The aim in research, is evaluation operation methods find inside in distribution spatial land use city Kerman. That on base of methods find inside kriging ordinary with models circularly, gauss, spherical and exponential for find inside data use and with criteria error inclusive Root Mean Square) RMS( and Standard Root Mean Square) SRMS(,Mean Standard)MS(,Mean and average Mean error)ASE (pay to evaluation veracity and exactitude. Methodology research present, descriptive – resolution with resolution spatial use software GIS. Results resolution explanatory existence pattern cluster in the land use study, administrative and commercial and pattern diffused for land use medical in the city Kerman. In between four pattern use study follow of better order. Too results research rectitude, specified pattern kriging ordinary with model gauss beater shape pattern distribution spatial use in the city Kerman
Rahmatollah Shojaei Moghadam, Mostafa Karampoor, Behroz Nasiri, Naser Tahmasebipour,
Volume 18, Issue 51 (6-2018)
Abstract
The purpose of this study is to analyze and analyze Iran's precipitation over the past half-century(1967-2017). For this purpose, the average monthly rainfall of Iran during the statistical period of 50 years was extracted from Esfazari databases (Which is provided using data from 283 stations of Synoptic and Climatology). Regression analysis was used to analyze the trend and to analyze the annual and monthly rainfall cycles of Iran, spectral analysis was used. Investigation and analysis of monthly precipitation trend indicates that except for central Zagros (Lorestan and Chaharmahal va Bakhtiari and Gorgan areas, where rainfall in winter season has increased trend), in other parts of the country and in other seasons, the trend of decline Precipitation is prevalent. The study of Iranian rainfall cycles has been shown that Most of Iran's rainfall cycles are 2 to 4 years old and have a short term course. Meanwhile, there are two middle-cycle 25-year cycles in January-July and two long-term 50-year cycles in March and December, indicating a trend in the March and December rainfall. The two months of February and October lacked a clear cycle. The analysis of the auto-correlation model of rainfall showed that the high spatial auto-correlation model in winter was consistent with the western, southwestern and coastal of the Caspian Sea and covered about 14% of the country's. The low spatial auto-correlation model is found in sparse spots in the southern, central and southeastern regions of the country in winter and spring, and covered about 7.5% of the country's. The results of this study indicate that the overall trend of Iran's rainfall is decreasing trend and only in winter, in the small regions of the country, the increase trend is observed.
Ali Asghar Pilehvar,
Volume 19, Issue 54 (9-2019)
Abstract
This paper aims to explain the inequality and imbalance in the developmental levels of 6 selected cities in North Khorasan. The paper seeks to answer these two questions as to whether the spatial and non-spatial indices in regional disparities have an effect on equality? And can we achieve a functional model based on the evaluation of indicators? In order to achieve the goal and the answer to the question, indicators have been selected based on the importance and effects of the factors in both natural and human aspects. The method of this research is descriptive-analytical in nature and in terms of access to the facts of the descriptive-survey type and in terms of The purpose is to apply. Data analysis was performed using SPSS software and multi-criteria and cellular analysis using the coefficient of variation formula. Thus, the coefficient (from one to another) was determined in each case, the influential elements and the prestigious countries of inequality. The results show that the city of Bojnourd with a coefficient of 90 channels in North Khorasan has been used for structural changes by providing data matrices and presenting maps (with the help of GIS), and the most change coefficient is related to the percentages of urban population percentages. Other results of the study indicate that according to the coefficient of variation and determination of z in the cities of North Khorasan province, Bojnourd city has the first rank in 6 indexes of 10 selected indexes and its z value is 8.57 and the clear distance with Shirvan is The title of the second city is with a z = -3.54. The final finding of this research is modeling in the structural-functional changes and changes in North Khorasan which was proposed at the end of the paper.
Ms Masoumeh Amiribesheli, Mr Hosein Mogtabazadekhanghahi, Mr Yosefali Ziari, Mr Ali Nourikermani,
Volume 19, Issue 54 (9-2019)
Abstract
The urban land management is an l part of the urban management. In some countries such as Iran, there is no integrated urban land management and providing municipal services is assigned to nationwide organisations. This means urban management is offered by the municipality or subsidiaries of the aforementioned organisations such dispersion has occurred during serval decades. It is considered as the roots of organizatinal inefficiencies ( offocial and financial corruption is regarded as basic reasin for many crimes) and the origin or many conflicts between people and organizations(judicial) To do so, it follows an applied analytical descriptive approach. To analyse the data, mathematical and statistical methods were applied using Excel and SPSS. Moreover, the GIS was used for visualisation and adaptive analysis. The study concluded that lack of clear visions and consequently uncoordinated organisations and their policies, isolated and vertical decision-making, and unmanaged intervention without the required organisational capacities are the critical reasons for inefficient urban land management.
Morad Kaviani Rad, Afshin Mottaghi, Hadi Zarghani, Hasan Sadrania,
Volume 19, Issue 55 (12-2019)
Abstract
One of the problems in analyzing hydro-political relations in the system of international rivers is that the same factors can create a wide range of conflict or cooperation, and even an identical variable may play a different role in relation to other variables in each coastal country; Therefore, the recognition of the variables and the role that each variable has in developing a pattern of analysis of opportunities and risks for countries that share transboundary waters with other countries is essential. Iran is in the Harirud basin shared with Afghanistan. The presence of this basin in a dry and semi-arid strip of world has caused Iran's dependence on the water of Harirud to provide water to the east and northwest, and especially to the metropolis of Mashhad. Therefore, the research question is: What are the variables and indicators effective on the Strategic Importance of Harirud for Iran? For this purpose, 86 indicators were identified using library and field studies and categorized in geographical-geopolitical, technical-economical, and political-social variables in expert meetings with experts. After identifying the most important variables using the Delphi method, the role of each variable in the structural analysis of the variables has been investigated with the help of the Micmac software. The results indicate that geopolitical -geographical variables are the most effective and Most impressive variables, and indicators of the importance of Harirud for drinking water, food security, security of water resources and Afghanistan's position in Iran's foreign policy, strategic indicators for the importance of Heriud for Iran.
Javad Jamalabadi, Mahammad Salmanimoghaddam, Ali Shekari Badi, Marzieh Nodeh,
Volume 19, Issue 55 (12-2019)
Abstract
Temporary resettlement of the population after the earthquake is considered as a pivotal element of crisis management. The selection of suitable centers for the establishment of citizens can have a significant role in rescue and rescue services after the earthquake. The purpose of this study was to identify potential spots for the construction of shelters and temporary accommodation of the population during the occurrence of a possible earthquake. This research is applied in terms of its purpose. The method of study is descriptive-analytical and documentary. Firstly, using the Delphi method, 16 main and effective criteria for locating these centers were identified in the framework of six clusters including access to the communication network, natural features, spatial characteristics, consistent uses, risk management and demographic performance. Then, using the experts' opinions and the network analysis process, the final weight of each criterion was determined. The most important parameters in this research are population density indexes, grade 1 arterial pathways, and suitable area. Finally, by combining the layers of all indicators, a map of the temporary population settlements was prepared in Sabzevar city. The results of the research show that the lack of suitable spaces, including parks and open spaces for temporary accommodation of citizens in Sabzevar city, is quite evident. At the same time, the points of the city, which have adequate open spaces and are compatible with the surrounding land uses, have a relatively better potential for deployment. Accordingly, the best places for temporary accommodation of the population after the earthquake in Sabzevar, including the Eram Park in the north, Imam Reza Park and the Football Stadium in Southeastern City, Shahr-e Basi, National Park and Shariati Conservatory in the city center, tourist hostel, Green spaces and sports grounds in the west, and finally technical and vocational schools in the city of Tohid. In order to improve the conditions in the aftermath of the earthquake, some suggestions are presented in this study.
Msc. Graduated Student Najmeh Daneshvar-Marvast, Dr Somayeh Soltani-Gerdefaramarzi, Dr Samaneh Poormohammadi,
Volume 19, Issue 55 (12-2019)
Abstract
The phenomenon of evapotranspiration causes water and moisture losses from water, soil and vegetation levels. Due to the small amount of atmospheric precipitation and water resource constraints in Iran, it is important to calculate it through a suitable method. The present research attempts to evaluate the evapotranspiration reference crop (ETo) and present it in the form of zoning map as a basic tool for water management. In this study, the long-term average of seven meteorological stations and evaporation pan data were used to determine the appropriate ETo estimation method. Evapotranspiration of reference crop was calculated to 14 methods the based on climatic information in each station. Computational methods including combinational methods Penman-based, radiation-temperature method, temperature method and radiation method. The most appropriate computational method was selected based on the R2 and Nash -Sutcliffe statistics. The zoning of evapotranspiration of reference crop was carried out based on the geographic information of the meteorological stations and the GIS software. The results of the research indicate that the best method for this region as the cold and moderate climate are FAO radiation and Blaney-Criddle. Also, the zoning result shows that west of the catchment has less evapotranspiration rather than its east. Sunshine hours, maximum temperature and wind speed were the most effective factors for evapotranspiration in this area by sensitivity analysis.
Shahab Hasibi, Vahid Shojaei,
Volume 20, Issue 57 (6-2020)
Abstract
The development and improvement of the tourism industry in the country or its various regions depends on effective marketing mechanisms. Marketing is an instrument for promoting sport tourism in different regions, which should be carefully considered. The purpose of this study was to analyze the strategic combination of sports tourism marketing in Mazandaran province with a 7 P's approach. 235 managers of sport and tourism organizations, managers of tourism offices, tourism guides and academic experts in the fields of sport and tourism management, as a sample of this research, were randomly selected, completed a researcher-made questionnaire composed of 57 valid questions & 7 Component (α=0.792) voluntarily. Findings from Friedman test showed that the Components of sports tourism mix marketing in the province based on priority were significant. The element of price (mean 4.69) is the highest priority and the process or planning (mean 3.69) is the lowest priority. Other elements of the sport tourism mix marketing of the province are the priority, respectively: product or service (mean 4.21), place (mean 4.05), physical evidence (mean 3.91), people (mean 3.76) and promotion(mean 3.61). Findings from Friedman test showed that the elements of sports tourism marketing mix in the province based on priority were significant. The element of price is the highest priority and the process or planning is the lowest priority. Other elements of the sport tourism marketing mix of the province are the priority, respectively: product or service, place, physical evidence, people and promotion.
Mrs. Atefeh Shahmohammadi, Dr. Ali Bayat, Mr. Saeed Mashhadizadeh Maleki,
Volume 20, Issue 58 (9-2020)
Abstract
Urban development and air pollution are among the most important issues related to climate. The expansion of urbanization and urban development, population growth, industrial development and excessive use of fossil fuels significantly increased air pollution and it is more than the capacity of the environment. In our country, the emissions of air pollutants in some metropolitan areas have reached a dangerous level, Mashhad is considered to be the most polluted cities of the country in some days of the year. Nitrogen dioxide is one of the indicators of air pollution. In this study, the OMI data and atmospheric parameters such as wind, surface temperature, and horizontal visibility data for the period from 2004 to May 2016 were used to investigate the air pollution in Mashhad. The results show that the maximum (minimum) nitrogen dioxide levels occur in the cold (hot) season. The highest amount of nitrogen dioxide in January is equal to 5.56 × 1015 molec/cm2 and its lowest value in September is 4.18 × 1015 molec/cm2. Standard deviation of nitrogen dioxide also indicates that the greatest changes occur in cold seasons. Also, the results showed that the dominant wind in the city of Mashhad is from the south, and most of the winds are slow. Correlation coefficient of nitrogen dioxide with wind and surface temperature is -0.36 and -0.57, respectively, which shows the higher importance of temperature in nitrogen dioxide changes in Mashhad city. The correlation coefficient of nitrogen dioxide with horizontal visibility is -0.15, which indicates that with increasing nitrogen dioxide contamination, horizontal visibility decreases. Spectral analysis of least squares of the six and twelve-month periods of rotation was observed, they were also statistically significant. After eliminating the significant components of the time series of the average monthly nitrogen dioxide, the trend was calculated. The amount of nitrogen dioxide in each year for Mashhad was 2.41 × 1013 molec/cm2.
Ali Bahri, Younes Khosravi,
Volume 20, Issue 58 (9-2020)
Abstract
Considering the vast application of sea surface temperature in climatic and oceanic investigations, this parameter was studied in Oman Sea from 1986 to 2015. The SST was surveyed using trend analysis and Global and local Moran’s I spatial autocorrelation. In trend analysis, the Mann-Kendall test was used to determine the trend of SST changes and the Sen's Estimator method was used to examine the slope of the changes. Using these methods, it was found that during January, February and December, there was no significant ascending trend in SST values, and only parts of the Strait of Hormuz had a significance descending trend. On the other hand, there was no significant descending trend in March, and the ascending trend in the SST was seen in the southern part of the Oman Sea. Other months of the year had a significant ascending and descending trend in different parts of the Oman Sea, which October had the highest ascending trend. In the annual time scale, it was also found that the southern parts of the Oman Sea had ascending trend in the SST value and Western parts had a descending trend. The occurred changes in the high amounts (positive and negative) were corresponding to the significance ascending and descending trends. The results of Global Moran for the annual time scale indicated an ascending trend of autocorrelation values and cluster patterns of SST data over time, using the local Moran analysis, it was found that warm clusters of SST are increasing in the Oman Sea, and on the other hand, cold clusters of this parameter have been reduced over 30 years. According to the results of trend and spatial autocorrelation analysis, it has been found that SST have been increasing in different parts of the Oman Sea during 30 years, so climate change and global warming may have affected this region.
Dr Yagob Dinpashoh, Miss Masoumeh Foroughi,
Volume 20, Issue 58 (9-2020)
Abstract
Reference evapotranspiration (ET0) is a climatic parameter and can be computed from weather data. It is one of the most important hydrological parameters for calculating crop water demand, scheduling irrigation systems, preparing input data to hydrological water-balance models, regional water resources assessment, and planning and management for a region and/or a basin. The climatic data from synoptic stations with more than 20 years continues record in West Azarbaijan province was used. The well-known FAO-PM56 method was used to calculate the ET0. Then Multiple linear Regression (MLR) was used to estimate the ET0. The RMSE, MEA, NSH, and R2 were used to evaluate the performance of the MLR model. Then, the correlation coefficient (r) between ET0 and each of the meteorological parameters was obtained. And finally, with using Path analysis method, the influence of direct (P) and indirect effects of the meteorological parameters on ET0 was calculated. In the studied synoptic stations, NSH between 0.91 and 0.99, R2 between 0.91 and 0.99, RMSE between 0.05 and 0.15, and MEA between 0.04 and 0.12 were obtained. Also, it was found that the wind speed at all of stations had a significant correlation (at the 0.01% level) with ET0. The path analysis results showed that the maximum value of P (direct effect of meteorological parameters on ET0) in all of the stations belongs to wind speed. The P value of wind speed in Urmia equal to 0.85, Piranshahr equal to 0.99, Takab equal to 0.97, Khoy equal to 0.90, Sardasht equal to 1.06, and Mahabad equal to 0.78 are obtained.
Dr Daryoush Moradi Chadegani, Masoud Ghasemi, Niloofar Rastghalam,
Volume 20, Issue 58 (9-2020)
Abstract
Isfahan City-Region is a collection of cities and towns with shareable common ground (such as communications, infrastructure, population and climate) at the geographical level of the city of Isfahan and its surroundings, and their social, economic, functional and spatial dependencies are such that one The geographically differentiated metamorphic and sub-regional divisions form the surface of the land and the main focus of its residential concentration is the city of Isfahan. These common features make it possible for them to complete complementary fields with single target targeting. Meanwhile, municipalities, as the main actor of urban management, play a major role in communicating cities and managing these relationships, so that these issues can play a common language among the actors in the city-region. This research is descriptive-analytic in terms of its main purpose. The analysis of locational problems and identification of key actors in Isfahan-Isfahan (including Isfahan and ten neighboring cities: Abrisham, Baharestan, Khomeinishahr, Khorzuq, Dorcheh, Dolatabad, Shahinshahr, Ghahjavarestan, Gaz, and Najafabad) is an applied research. For this purpose, in the first step, identifying problems between Isfahan and ten neighboring cities has led to the formulation of a statement of problems by using the dual paths of reviewing the documents of documents and urban plans and conducting interviews with city managers and experts. In the second step, analyzing the problems and problems of the cities located in the city-region of Isfahan, based on the six-tagged codes defined for each problem, the amount of weight (severity of the problem) is determined and, through the method of analyzing social networks, the network of "actors-problems" is drawn. Based on the findings of the analysis from this network, the problems of "Air pollution caused by the exhausted bus", "the occurrence of environmental problems caused by the destruction of the ecological capacity of West of Isfahan" and "shortage of fire fighting equipment in neighboring cities of Isfahan" are the most important of the city-region. The department of "Urbanism & Architecture", "Transportation" and "Urban Services" as acters paly the most key role in solving the problems of the city-region of Isfahan.
Dr Iran Salehvand, Dr Amir Gandomkar, Dr Ebrahim Fatahi,
Volume 20, Issue 59 (12-2020)
Abstract
Rainfall prediction plays an important role in flood management and flood alert. With rainfall information, it is possible to predict the occurrence of floods in a given area and take the necessary measures. Due to the fact that the three months of January, February and March are most floods and most precipitation is occurring this quarter, this study aimed to investigate the factors affecting precipitation and modeling of this quarter. For precipitation modeling, the monthly rainfall data of the Hamadid and Baranzadeh station in the statistical period (1984-2014) for 30 years as a dependent variable and climatic indexes, large-scale climatic signals including sea surface temperatures and 1000 millimeter temperatures Altitude of 500 milligrams, 200 milligrams of omega and climatic elements have been used as independent variables. Due to the nonlinear behavior of rainfall, artificial neural networks were used for modeling. Factor analysis was used to determine the best architecture for entering the neural network. For prediction of precipitation, the data that showed the most relationship with precipitation was used in four patterns, in January the fourth pattern with entropy error was 045/0, the number of input layers was 91, the best makeup was 15-1, and the correlation coefficient was 94% Was. In February, the third pattern with a correlation coefficient of 97%, entropy error, was 0.36. Percentage, number of input units was 8 units, and the best type of latency layout was 10-1. The precipitation of March with all patterns was high predictive coefficient. The first pattern with entropy error was 0.038, the number of input units was 67, the hidden layer arrangement was 17-1, the correlation coefficient was 98%.
