Showing 6 results for salehi
Hamid Salehi, Muhammad Motamedi, Ezatollah Mafi,
Volume 21, Issue 61 (6-2021)
Abstract
The basis of climatic data is measurements taken at a predetermined chronological order at air monitoring stations, so all measured values of climatic elements can only be attributed to the point of measurement. Therefore, different interpolation methods can help a lot in estimating climate data in different places. The study area in this study is northeastern Iran, including the provinces of Khorasan Razavi and North Khorasan, and monthly summer temperature data were used for 21 synoptic and evaporative stations in the northeast belonging to the Meteorological Organization and the Ministry of Energy with appropriate distribution. The statistical period of 21 years (1997-1997) was considered as a common statistical period for all stations. Then, in order to compare the interpolation methods, several different methods, including ordinary kriging, spline, inverse squares and Thyssen were used by ARCGIS software. Comparing the deviations of the estimates from the measured data was evaluated by cross-validation. Then, in order to check the hypothesis of normality of the calculated errors in each interpolation method, the test thigh test was used and finally, to evaluate the best interpolation method, AHP method and Expert Choice software were used. The results showed that based on the root mean square error (RMSE) criterion, Thyssen, Kriging, inverse distance and spline methods were located, respectively. Based on the absolute maximum error criterion (MAE), the kriging method estimates the summer temperature better than other methods. According to the MBE standard, the kriging method is better than other methods and can be used for temperature interpolation. According to the set coefficients, the calculated compatibility rate is 0.03, which indicates the high accuracy of the selection of weights.
Seyyed Mostafa Haj Agha Mir, Hamideh Reshadat Jo, Ata Allah Abtahi, Seyyed Reza Salehi Amiri, Fatemeh Aziz Abadi Farahani,
Volume 22, Issue 66 (9-2022)
Abstract
One of the main ways to preserve the traditions and values of the past for future generations is to preserve the culture of the community, which can be addressed by the prosperity of tourism in cities. One of the main ways to preserve the traditions and values of the past for future generations is to preserve the culture of the community, which can be addressed by the prosperity of tourism in cities.The purpose of this study is to explain the models of cultural tourism development in Iran. In the quantitative part of this research, in terms of controlling the studied variables, it is non-experimental, in terms of strategic survey and in terms of the nature of this research is applied. In relation to the research method, it seeks to identify the relationships between cultural tourism and the factors affecting it using the structural equation system. The nature of research is causal research. Considering the application of structural equation modeling to study and analyze the conceptual model of the research, the method of this research is correlational and variance-covariance matrix analysis. The statistical population in the quantitative section was all employees and managers of the Cultural Heritage, Handicrafts and Tourism Organization. In the quantitative part, the sampling method is stratified. Cochran's formula was used to determine the sample size. Based on this, 383 samples were estimated. The tool of this research was a researcher-made questionnaire. To determine the validity and validity of the questionnaire, content validity as well as structural validity were used to determine the validity of the questionnaire. The reliability of the research was analyzed using Cronbach's alpha test. The results of quantitative analysis showed that social indicators have the greatest impact among the leading indicators of cultural tourism in the country.
Mr Mohammadamir Moharreri, Kamran Lari, Foroozan Arkian, Gholamreza Salehi,
Volume 23, Issue 69 (6-2023)
Abstract
There are several limiting factors to the development of cities. These factors lead cities to develop in certain directions. Air pollution as a major problem of metropolises can itself be considered as a limiting factor of urban development by urban decision makers. 4 relatively large power plants are operating in Mashhad. There are currently two power plants in the east of the city and two in the west of Mashhad. Most of the fuel in these power plants is gasoline and natural gas. Modeling the air pollutant emissions of these power plants and identifying the pattern of pollutant emissions across the city can play a key role in the quality of life and health of approximately 3.5 million Mashhad residents. The outputs of this model can also be used as an effective parameter in estimating the urban development model. In this study, the emission of NOX, CO and 10PM pollutants was modeled and evaluated using AERMOD software in Mashhad. Using Arc GIS software, the population affected by these air pollutants was determined by one year solar time, the concentration of pollutants in different areas of the city and the area affected by the pollution concentration range was determined.
Ms Elaheh Ghasemi Karakani, Mr Ebrahim Fattahi, Mrs Loabat Salehi Pak, Mr Hooshang Ghaemi,
Volume 23, Issue 69 (6-2023)
Abstract
During the rainfall, the intensity of precipitation varies. Changes in the amount of precipitation during an event of rainfall are effective in the resulting of flood and its intensity. Knowledge of how rainfall changes over time during rainfall is determined by temporal distribution pattern of rainfall. For this purpose, availability of short-term time scales rainfalls data are important that obtained by rain gauge stations. However, the low density of the rain gauge network and the lack of sufficient data from the time pattern of rainfall have always been a problem in determining storm patterns for executive plans. Therefore, the simulation of WRF numerical weather models can be used. The WRF model is one of the most responsive models for predicting precipitation, temperature and atmospheric elements that used in this study. In this paper, three great storm events on 15 December 2003, 24 - 26 December 2006 and 6-7 March 2007 have been selected in the Parsian dam basin and surrounding areas in south west of Iran. The result of WRF numerical weather prediction model for these great storms compared with data loggers. It showed that the WRF model was able to performance the heavy rainfall and simulates the rainfall pattern in these dates.
Azam Salehi, Masoud Pourkiyani, Mehdi Mohamad Bagheri, Sanjar Salajegheh,
Volume 24, Issue 73 (6-2024)
Abstract
Every city, according to its assets, seeks to develop and consolidate its position at national, regional and international levels, since city branding is one of the most dynamic activities in the field of policy making in the present era, which plays an important role in sustainable development of the region and due to the increasing growth of city development in cultural, economic, environmental and etc. There is a need for a targeted and comprehensive planning to keep pace with sustainable development. Considering the development components and its impact on city branding indicators, this research deals to improve the development and city branding status in the province by examining their situation. The statistical population of this study consisted of two groups: the first group was experts with knowledge that the number of people in this population is uncertain and the sample size is 60 people. The second group consists of policy-making and senior managers, employees with higher education in Bushehr province with 37,751 people and the sample size has been determined by using The Cochran formula of 382 people. Data were collected through 4 questionnaires confirming their validity and reliability. To measure structures and relationships between them, structural equations with partial least squares approach and SMART PLS software have been used. The results indicate that at 95% confidence level, the city branding policy variable has a positive and significant relationship with the development model. Therefore, it is suggested that the policy makers and urban management should plan for the urban branding of the province and improve the development dimensions according to the relationship of the urban branding policy with the dimensions of development.
Key words: Model, Development, Policy, city Branding.
Seyed Komeil Salehi, Ms Habibeh Nabizadeh, D.r Amineh Anjem Shoa,
Volume 25, Issue 77 (6-2025)
Abstract
The purpose of this study was to investigate the factors affecting the increase in attractiveness of tourism purposes in Tehran. The present research is descriptive-analytical in terms of purpose and method. The data collection tool is a question and interview. The statistical population of the study includes experts and experts in the field of tourism, which was selected using Cochran formula and simple random sampling method, 210 tourism experts were selected as samples. Descriptive tests and logistic regression test were used to analyze the data. The results of this study indicate that from 210 active in Tourism in Tehran, 91 people believed in 43.3%, with attractiveness of tourist destinations in Tehran at high level, 29% believed that the level of charm at the appropriate level and only 27% He believed that the attractiveness of tourist destinations in Tehran is at a low level. The results in the field of effective factors on increasing the attractiveness of intentions due to tourism development also showed that among the four factors intended, respectively, factors of 1) innovative business opportunities with impact coefficients (613/0), 2) assets Natural / cultural and historical city with a coefficient of impact (0.577), 3) Development of tourism infrastructure with an impact coefficient (0.497) and 4) urban development agent with an impact coefficient (0.473) had the most effects on increasing attractiveness Due to tourism development in Tehran.
