Showing 6 results for sharifi
Jalil Badamfirooz, Leyla Sharifi,
Volume 0, Issue 0 (3-1921)
Abstract
By evaluating the functions and ecosystem services of protected areas, it is possible to help planners and decision makers of land management and sustainable development in the region and the country. The present study specifically assesses water and soil resources in the Gando Protected Area and the economic valuation of these services. In order to model the ecosystem services of water balance, soil protection and water quality, a hydrological model -WWPSS- based on RS data was used. The simulation was performed using a series of one-degree square meters (one hectare) on a monthly scale. In order to evaluate the economy, the Invest model and the alternative cost method were used. The results showed that the total water produced in this region is 401,205,344 m3 per year. Also, the minimum, maximum and average water budget of all three are negative and are equal to -1492.76, -38.04 and -639.24 mm per year, respectively, which indicates the lack of rainfall and the intensity of evapotranspiration in this region. The average potential of surface water pollution is 4.5% and this area prevents erosion of 2 tons per hectare per year. The real economic value of water production and soil protection in 2019 with inflation reform of 20.18%, 67.54 and 2729.65 billion rials, respectively, is estimated. Three scenarios with discount rates (combined) of 8, 12 and 15% in 5, 10, 15- and 30-year periods were used to determine the economic value of the functions of these resources. The results showed that for example; With a discount rate of 15% and over a period of 30 years, the economic value of water production and soil protection will reach 4471.82 and 180.730 billion rials, respectively. totally, the economic value of water production and soil protection is 0.35 and 14.17% of the total value of the region.
Ph.d Khalaf Anafjeh, Email: Moosa_ka@pnu.ac.ir, Ph.d Masoud Safaipour, Ph.d Abdulnabi Sharifi,
Volume 0, Issue 0 (3-1921)
Abstract
This paper tries to equip the 5 strategic drivers of the urban poverty system in the target areas of the research wich have the ability to management,manipulate and trace their effects through the regeneration process with poverty reduction policies in order to improve the state of the system in the mentioned arias.considering the basic necessity of economy–based organization of space, the aim of this paper is to regeneration and reform of structures of urban poverty in the target neighborhoods with a future studies approach.the type of research is applicable and its investigation method is descriptive-analytical based on newest future studies approach,normative in nature.after preparing the balance analysis of the possible states (uncertainty scenarios),extracting the qualitative judgments of 30 experts about the mutual influence of network relations through Delphi survey and algoritmic analysis of data using cib method in the scenario wizard software become possible.consideringthe size of the matrix and its demensions of (15*15) scenario wizard software analyzed the number of 3657 combined scenarios based on the data entered in the questionnaire and the number of 5 strong or probable scenarios,14 scenarios with high compatibility(belivable scenarios) and they reported 28 weack scenarios (possible scenarios) that finally,after verification and validation by experts,four scenarios were descriptively named with the title of m-a,m-sh,h-ha,z.s-j.in the end by using the thematic macro -rends that are introduced as technical tools of future –based economic intervantions in the regeneration process.for each driver,poverty reduction policies were formulated and proposed in the form of thematic measures based on desirable scenarios to reform urban poverty structures.
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 (6-2024)
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 (2-2025)
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.
