Showing 27 results for eini
Mohamad Hosein Hoseini Rozbahani, ,
Volume 23, Issue 71 (12-2023)
Abstract
Wheat is the main human food that is consumed directly. Recognition of climatic parameters and study of climatic needs of crop plants is one of the most important factors in the production of rainfed wheat. This study is due to the importance of climatic parameters in rainfed wheat production and also due to the potential of rainfed rainforests in Tajikistan, including Ryan Panjkent and Qa in Wadi Zarafshan. The data used in this study were collected through the Tajik Meteorological Department and the Tajik Ministry of Agriculture and the Pentecostal Agricultural Office in the field and in libraries. In the first step, the data were checked for homogeneity and uniformity. In the next step, using Lars Wg software using HadGEM2-ES series models and three scenarios of RCP26, RCP45, RCP85 in the period 2011-2050, the Lars model's ability to predict the climatic variables of Panjkent station was evaluated and then the data. The prediction was evaluated with observational data and also through Anova correlation and test between climatic parameters and production of rainfed wheat per hectare by Toronto White Climate Method. Connection results between climatic parameters and rainfed wheat production Using the analysis of variance (F) test and comparison with the table of coefficients of F showed; There is a significant relationship between rainfall in May and maximum temperature in June with wheat production and also rainfall in October, maximum temperature in November with rainfed wheat production in Panjkent station, there is no significant relationship per hectare.
Rasoul Ghorbani, Akbar Asghari Zamani, Rahim Gholamhosseini,
Volume 23, Issue 71 (12-2023)
Abstract
There is a wide body of literature indicating a strong link between urban form and carbon emissions in the transport sector, this is done through the impact of city form components on citizen’s travel behavior. Therefore, in urban low carbon development theory, the reduction of cavalry production through changes in urban form elements is considered. This paper investigates the effects of urban form components on Tabriz Metropolitan travel behavior. Tabriz’s single-engine city form makes maximum use of personal cars for city trips resulting in increased carbon emissions in Tabriz’s urban air. Therefore, the impact of urban form elements on car-driven travel behavior has been selected as the most fundamental pillar of low carbon studies in Tabriz. The results of the application of the Moran method show that the criteria used are mainly clustered and therefore have spatial autocorrelation and it is very useful to use location- based regression methods such as geographic weight regression. The results of this method show that access to metro stations in Tabriz metropolitan area the coefficient of importance of 0/40 have the least relationship with urban travel behavior, respectively and the two factors combining urban land use and business center access with a factor of importance of 0/54 are most important in urban travel behavior. It was therefore concluded that the components of urban form are more important in urban travel behavior and it needs to get more attention form city managers and planners in shaping a low-carbon city.
- Ahmad Hosseini, - Mostafa Khoshnevis, - Mohammad Reza Jafari,
Volume 24, Issue 73 (6-2024)
Abstract
Old trees as the most important genetic reserves of the country have great importance and value in various aspects of ecology, forest restoration management, ecotourism and even history. In this research, after identification of the old trees in the forests of Ilam province, their morphological characteristics including DBH, trunk height, total height, crown length, min & max crown diameter, crown health, crown firmness, crown symmetry, Trunk health and trunk shape were examined. The selection of old trees was based on DBH criterion. After the forest survey, 43 old trees including 5 Petrocarya fraxinifolia, 5 Ulmus glabra, 11 Fraxinus rotundifolia, 3 Celtis caucasica, 4 Platanus orientalis, 4 Ficus carica, 7 Olea europea and 4 Cupressus sempervirens were identified. The results showed that among single-stranded trees, P. orientalis had the highest mean DBH (171 cm), total height (15.8 m) and trunk height (6 m), and among multi-stranded trees O. europea had the highest mean DBH (260 cm). P. fraxinifolia and U. glabra had the highest mean of crown length (11 m) and F. rotundifolia had the highest crown area (195 m2). The highest percentage of single-trunks belonged to the P. fraxinifolia (80%) and C. caucasica (67%). The highest percentage of healthy trunks belonged to C. sempervirens (50%) and O. europea (50%) and the highest percentage of healthy crowns belonged to P. fraxinifolia (100%), C. caucasica (100%), P. orientalis (100%), O. europea (100%) and F. carica (100%). The highest percentage of crown symmetry was belonged to C. caucasica (100%) and the highest percentage of crown freshness was belonged to P. fraxinifolia (100%), F. rotundifolia (100%), C. caucasica (100%), P. orientalis (100%), O. europea (100%) and F. carica (100%). Based on the desirable morphological characteristics of old trees, it is possible to help the strengthen and restoration of Zagros forests by producing resistant seedlings from their seeds.
Key words: Old trees, Morphology, Oak forests, Ilam.
Dr Nafiseh Varkianipoor, Dr Seyed Mohammadreza Hoseini, Dr Rohalla Samiee, Dr Majid Ashrafi,
Volume 24, Issue 74 (9-2024)
Abstract
Women play an important role in promoting employment and improving the economic situation of society. Therefore, giving them identity and independence and providing the ground for their active participation in various economic and social affairs, especially entrepreneurial activities in urban areas is a very important factor of this great force.
The experts’ demographic features are analyzed. Then the components of entrepreneurship value chain and social sustainable development are sifted out using experts’ opinions (twenty of the best women entrepreneur of Golestan province), Fuzzy Delphi method, and De-fuzzy to find the components of intended variables. Validity and reliability of questionnaires are investigated by Cronbach’s Alpha and normal distribution of components and statistical samples are also analyzed by Kolmogorov-Smirnov and Student’s t-Test. In section one, the prioritization and ranking of dimensions and components of entrepreneurship value chain are addressed (by 198 of women entrepreneur of Golestan province) by using hierarchical analysis process method and Expertchoice software. In section two, to measure the relationships between the developing women’s entrepreneurship according to value chain and the social sustainable development, the Correlational research, the Structural equation for factor analysis test, and Smart pls2 software are used that show a statistical significant. In correlational research not only the relationship between variables are detected but also the type and rate of variables relationship are reachable. The results then are discussed. And the model of developing women’s entrepreneurship according to value chain with the approach of social sustainable development is presented. The model helps adjust the developing women’s entrepreneurship and show the strength and weakness.
Mr Shokrollah Kiani, Mr Ahmad Mazidi, Mr Seyed Zein Al-Abedin Hosseini,
Volume 24, Issue 74 (9-2024)
Abstract
Subsidence is an environmental phenomenon caused by the gradual subsidence or sudden subsidence of the earthchr('39')s surface. The phenomenon of subsidence in residential, industrial and agricultural areas can cause catastrophic damage. In most parts of Iran, there is a high correlation between land subsidence and the decrease of groundwater level and consequently the density of soil layers. In this study, using two time series of radar images with artificial apertures from Sentinel sensors belonging to 2014 and 2019, the amount of subsidence in Damaneh plain (Frieden city) was calculated. Wells were studied in the period 2014 to 2019, the results of the study of the correlation between land subsidence with changes in groundwater level at the level of 95% was significant. In the continuation of the research, using the logistic regression model, the subsidence trend in the study area was predicted and a subsidence probability map was prepared and created as a dependent variable for the logistic regression model. The independent variables used included altitude, slope, slope direction, geology, distance from the road, distance from the river, land use, distance from the village, groundwater level, piezometric wells. The output of the model is subsidence risk zoning map which was created in five classes. The accuracy and validation of the logistic regression model was evaluated using the system performance characteristic curve and the accuracy (0.89) was obtained. The good accuracy of the logistic regression model in producing the probability map Subsidence is in the study area. In the output of the model, it was found that the area of 1980 hectares, equivalent to 7.9%, has a very severe subsidence that has put the situation in a dangerous situation and the need for control and management to reduce this destructive effect.
Mrs Elham Zamani, Dr Behshid Hosseini, Dr Hossein Zabihi,
Volume 25, Issue 76 (3-2025)
Abstract
The current research is based on the process of algorithmic design and simulation of village boundaries using the Grasshopper plugin in the Rhino software. The proposed algorithm utilizes the image simulator component and its importer in the Grasshopper plugin to input two-dimensional images taken from samples into this plugin. Before entering the data, the input images are converted to black and white to allow the system to distinguish between the background texture and the subject of analysis. Additionally, the proposed algorithm identifies the village boundary by comparing the subject and the text in the pixels of the two-dimensional image. By calculating the internal area of the identified boundary, the algorithm estimates the proportion of textures relative to the background. The main objective of this research is to examine the impact of green and dry textures as natural factors on the density of residential texture in terraced villages in Iran, across various climates. In addition to identifying the density of village textures, emphasizing the comparison of parameters will provide new insights into the texture of terraced villages. The simulation analysis tool, known as the density measurement algorithm, is developed based on aerial maps created by the researchers for this study. By using inverted aerial maps, this algorithm can determine the density of natural texture in the formation of villages and residential texture. This capability reduces the need for physical presence and enhances the accuracy of outputs in analyzing village texture. Furthermore, the identification of parameters will provide the next generation of rural housing with the density pattern of previous generations.
Zahra Hedjazizadeh, Sayyed Mohammad Hosseini, Ali Reza Karbalaee, Shokofe Layeghi,
Volume 25, Issue 77 (6-2025)
Abstract
Drought is a natural hazard that annually causes significant economic, social, environmental, and life-threatening damage in vast areas of the Earth. The damages caused by this phenomenon are intangible but very extensive and costly, which, if necessary, remote sensing techniques can be a useful tool in monitoring drought due to high temporal accuracy, wide spectral coverage, ease of access, no need for atmospheric correction and ground referencing. In recent years, the province of Hamedan has faced many problems due to frequent droughts. Therefore, the present study focused on investigating and monitoring drought in Hamedan province using the Temperature Condition index and its impact on the vegetation cover of the province using Advanced Very High Resolution Radiometer (AVHRR) and National Oceanic and Atmospheric Administration (NOAA) remote sensing data. First, the relevant data was extracted from the Nova star database, and finally, the spatiotemporal behavior of the vegetation cover drought index was examined on 1528 pixels in Hamedan province. The spatial resolution of the data used in this study is 4 kilometers. First, the relevant data were extracted from the Navstar database and ultimately, the spatiotemporal behavior of the drought index and vegetation cover was examined. The results indicate that drought has significantly increased the vegetation cover of Hamedan province based on remote sensing data. Kendall's coefficients indicate the presence of decreasing trends in vegetation cover at a 95 Percent confidence level. Only in May, June, and December has there been a slight decrease in vegetation cover within the extent of drought in the province. The spatial behavior analysis of the drought index on vegetation cover showed that February, March, as well as April have experienced more severe droughts within Hamedan province.
