Showing 6 results for sharifi
Professor Ghasem Azizi, , Leyla Sharifi,
Volume 17, Issue 47 (12-2017)
Abstract
Thunderstorms are major climatic events due to the significant effects and catastrophic consequences on humans and the natural environment. The researches have shown that the elevation and latitude factors are two variables that can affect the occurrence of this phenomenon. Therefore, the main aim of this study is to investigate the spatial analysis of the effects of lightning and its effects on the components such as elevation and geographic extent in Iran. Apart from this fact, firstly, the monthly data of thunderstorms occurrence in 118 synoptic stations of Iran, from 1991 to 2010 on a basis from the country's meteorological organization were obtained and GIS software was produced by the annual and seasonal maps of Iran. Then, for the spatial analysis of this climatic phenomenon, the method of landing statistics of the Kriging (Universal) method was to examine its seasonal and annual status. In order to better understand the effect of Thunder hurricanes from altitude and latitude using Curve Expert software, seasonal and annual charts, along with the correlation of each production, were analyzed. The results show that the highest annual thunderstorms occur in the northwest of Iran, and the least amount is consistent with the central and eastern parts of the country. In addition, according to seasonal analysis, although the station has the highest rate at 800 to 1,300 meters, the maximum occurrence of this phenomenon varies from 0 to 2200 meters in different seasons of the stations. The overall result shows that the factor of height is slightly correlated with the occurrence of the Thunder storm phenomenon and the highest correlation is due to the latitude factor.
Leyla Sharifi, Saeed Bazgeer, Hosain Mohmmadi, Alireza Darbaneh Astaneh, Mostafa Karimi Ahmadabad,
Volume 20, Issue 57 (6-2020)
Abstract
In an agricultural system, crop production is related to climatic conditions. Therefore, a deeper understanding of the impact of regional climate change on production ensures global food security. Wheat is one of the most strategic crops and examining different aspects of its production is a necessity of every agricultural community. According to studies, wheat production is affected by various variables including environmental, individual and social, economic and technological. The aim of this study was to estimate the effect of these variables on changes in wheat production in different climates of Fars province. The required data were collected and analyzed through multi-stage random stratified sampling and 522 completed questionnaires through face-to-face interviews with farmers in the province. Farmers' attitudes were measured in the Likert scale and Cobb Douglas, Transcendental and Translog production functions were used to estimate the effect of variables. Results of comparing effective variables in three Cobb-Douglas, Transcendental and Translog functions; demonstrates the superiority of translog. From the perspective of the farmers of the province in the translog function, respectively; Soil moisture at planting time (0.692), effective rainfall during growing season (0.68) and at planting date (0.66), heat wave at harvest time (0.63), damaging rainfall (0.59) , Profit from wheat production (0.51), farmer education (0.49), soil quality (0.49) and cultivation method (0.49) with the coefficient of the mentioned criteria next to them; The most important factors explaining wheat production in Fars province. Independent variables in the translog function explain 92% of the changes in wheat production in Fars province.
Leyla Sharifi, Saeed Bazgeer, Hosain Mohmmadi, Alireza Darbaneh Astaneh, Mostafa Karimi,
Volume 24, Issue 72 (3-2024)
Abstract
Awareness and understanding of the climate trends by farmers and the attitude towards the necessity of this awareness is one of the essential capacities in agricultural societies. Farmerschr('39') attitudes to climate information are affected by their behavior with the climate hazards and uncertainties and influence their decision on adopting appropriate strategies to minimize the damages caused by climate changes on agriculture and improve their readiness. Hence, the aim of the present study was to establish a comprehensive framework and model for the qualitative evaluation of studies discussing the factors that affect farmerschr('39') attitudes to climate information utilization with a systematic review approach. For this purpose, the following keywords, including climate, climate change, climate changes, meteorological information, global warming, drought, flood, chilling, frost, climate hazard, precipitation, temperature with the aid of the following keywords namely, farmer, farmerchr('39')s attitude, farmerchr('39')s perception, farmerchr('39')s knowledge, and indigenous knowledge were used in both languages, Persian and English, among the articles published between the year of 2000 and 2019. After three stages of screening 788 related articles and according to approved criteria, 25 scientific and research articles were selected and explored. After qualitatively evaluating these articles, a model with five bio-environmental, individual, social, economic & technological factors as well as 19 dimensions has been proposed to evaluate the factors affecting farmerschr('39') attitude towards using climate information. Finally, to apply the results of this study, a unified conceptual model is presented that can be the strength of the existing frameworks in making the national agricultural policy.
Hossein Sharifi, Mehrdad Ramezanipour, Leila Ebrahimi,
Volume 24, Issue 75 (12-2024)
Abstract
Today, human settlements around the world are exposed to natural hazards for a variety of reasons. These risks, which bring with them a lot of human and financial losses, require preventive measures. The purpose of this study is to investigate the development of urban space in order to deal with environmental hazards in Noor city. The method of this research is also descriptive. Data collection is using library and documentary studies and questionnaires. In order to analyze the questionnaires using ANP method and fuzzy logic method, evaluate each of the criteria and determine their importance coefficients. Based on the results, spatial assessment was performed using ArcGis software and hazard zones were identified. According to the results of risk potential zoning, the northern and southern areas of the city have the highest risk potential. To predict the development of residential areas, the combined Markov chain model and cellular automation were used. The results showed that the continuous expansion of built areas in recent decades has caused rapid changes in land use and the built areas of the city has increased from 2.43% of the total area in 2010 to 3.68% in 2019. The results also showed that regardless of the natural hazards, the built-up areas will increase and as a result of urbanization, the built-up areas will be more prone to high-risk lands. However, if sustainable development policies are fully implemented, cities and built-up areas will be able to maintain their development spaces from high-risk areas for the benefit of the city and its residents.
Jalil Badamfirooz, Leyla Sharifi,
Volume 25, Issue 77 (6-2025)
Abstract
By assessing the functions and ecosystem services of protected areas, planners and decision-makers of land use planning and sustainable development at the regional and national levels can be of great help. The present study specifically assesses the water and soil resources in the Gandu Protected Area and the economic valuation of these services. In order to model the ecosystem services of water balance, soil conservation and water quality, the hydrological model based on WWPSS remote sensing data was used. The simulation was carried out using a series of one-degree square mosaic images (one hectare) on a monthly scale. The Invest model and the replacement cost method were also used for economic valuation. The results showed that the total water produced in this area is 401,205,344 cubic meters per year. Also, the minimum, maximum and average water budgets are all negative and are equal to -1492.76, -38.04 and -639.24 mm per year respectively, which indicates a lack of rainfall and intense evaporation and transpiration in this region. The average potential pollution of surface water is 4.5% and this region prevents 2 tons per hectare of soil erosion annually. The real economic value of water production and soil conservation is estimated to be 20.18%, 67.54 and 2729.65 billion rials in 2019, respectively, with inflation correction. Three scenarios with discount rates (compound) of 8, 12 and 15% were used in the periods of 5, 10, 15 and 30 years to determine the economic value of the functions of these resources in the future. The results showed that, for example; With a discount rate of 15% and over a period of 30 years, the economic value of the water production and soil conservation functions reaches 4471.82 and 180730.13 billion rials, respectively. In total, the economic value of the water production and soil conservation functions is 0.35 and 14.17 percent of the total value of the region.
Ph.d Khalaf Anafjeh, Se Yyed Mehdi Moussakazem, Ph.d Masoud Safaipour, Ph.d Abdulnabi Sharifi,
Volume 25, Issue 79 (12-2025)
Abstract
This article aims to identify and analyze the five strategic drivers of the urban poverty system in the target neighborhoods of the study. These drivers can be effectively managed, manipulated, and tracked through the implementation of anti-poverty policies, thereby improving the overall condition of these neighborhoods. Recognizing the critical need to organize economically-focused spaces, the article seeks to reform and reconstruct the urban poverty structures in the target areas through a futures research approach. The research is applied in nature, utilizing a descriptive-analytical methodology that aligns with contemporary normative futures research practices. Following the development of a questionnaire for equilibrium analysis of interactions, a comprehensive assessment of potential states and their classifications (uncertainty scenarios) was conducted. This enabled the extraction of qualitative insights from 30 experts regarding the interrelationships within the network, facilitated by a Delphi survey and algorithmic data analysis using the CIB method in the Scenario Wizard software.Given the matrix size of 15x15, the Scenario Wizard software analyzed 3,657 combined post-scenarios based on the questionnaire data, yielding five strong or probable scenarios, 14 high-compatibility scenarios (believable scenarios), and 28 weak scenarios (possible scenarios). After expert validation, four scenarios were descriptively named: M-A, M-Sh, H-HA, and Z-S.J. Finally, by employing thematic macro-trends as technical tools for future-oriented economic interventions in the regeneration process, tailored poverty alleviation policies were formulated and proposed for each driver, presented as thematic measures based on the desired scenarios to reform the urban poverty structures of the Ahvaz metropolis.
