s. ziaee

With the growing population of the world, water, food and energy supply will be one of the most important challenges ahead. Agriculture as the most important food producer is not only the consumer of water and energy, but also the most important supplier of energy. As a result, a balance must be struck between harvesting and exploitation of production resources and the amount of agricultural production. Due to the close relationship between water-food-energy systems and also their interaction with each other, a new concept called the “nexus” approach has been proposed which refers to the integrated nature and interactions of water-food-energy planning. This approach has provided suitable options for political decision makers, managers and planners in order to conserve existing resources and achieve sustainable development.

In this study, we have tried to introduce a mathematical programming model using multi-objective mathematical programming (MOP) technique for water-food-energy nexus that has the ability to process managerial decisions. In this model, in addition to examining the economic aspect, the control of greenhouse gas emissions has also been investigated. The regions of Mashhad, Chenaran and Torqabeh-Shandiz are the most important regions in the study area of Mashhad province in the production of crops. The data required for the study were collected through review of reports and agricultural statistical yearbooks of the year 2020-2021 and interviews with experts in each region and through consulting engineering companies. The hypothetical model under study includes lands covered by crops of Mashhad, Chenaran and Torqabeh-Shandiz. In this model, the water needed to irrigate crops is supplied from surface and groundwater sources. Electricity (electricity consumption) is used to collect and pump of irrigation water, produce food, and supply the domestic and industrial sectors. In the process of generating electricity, production of food, irrigation of crops and consumption of fertilizers and pesticides, greenhouse gases are emitted, especially CO2. In this study, 6 objectives including: maximizing gross profit, maximizing the production of calories from food, minimizing emission of greenhouse gases, minimizing consumption of fertilizers and pesticides, minimizing consumption of irrigation water, and minimizing consumption of energy have been pursued.

The results of the proposed model showed that the rate of change in the level of cultivation area in MOP compared to the current cultivation pattern in Mashhad, Chenaran and Torqabeh-Shandiz decreased by 25.92%, 53.05% and 55.88%, respectively. The level of optimal cultivation for barley in Mashhad in order to maximize net profit objective increased by 16934 hectares (46.71%) and its maximizing caloric production equal to 8484 ha, which has decreased compared to the current pattern (22%). The cultivation area of barley in minimum irrigation water consumption decreased by 10877 hectares (1.11%) and in other minimization objectives it changed to 12892 hectares which increased by 17% in Mashhad region. Wheat, barley, alfalfa, corn, sugar beet, tomato and potato have the highest decrease in cultivation area in the MOP among crops. The total area of optimal cultivation in the net profit maximization model of Mashhad, Chenaran and Torqabeh-Shandiz equal to 48639, 26027 and 75 hectares, which showed an increase of 41.4%, 11.61% and 55.8%, respectively. Furthermore, in the model aimed at minimizing energy, irrigation water, fertilizer, pesticide consumption, and greenhouse gas emissions, the recommended cultivation areas are as follows: 25,475 hectares for energy consumption, 15,954 hectares for irrigation water consumption, and 100 hectares each for fertilizer consumption, pesticide consumption, and greenhouse gas emissions. These figures clearly indicate the need to reduce the cultivation area dedicated to agricultural products that have a significant environmental impact. Consequently, it is crucial to alter the cultivation pattern and adopt a strategy that focuses on producing crops with a lower environmental impact. By implementing this strategy, the objective is to cultivate crops that require less energy, irrigation water, fertilizer, and pesticides, while also minimizing greenhouse gas emissions. This approach aims to mitigate the environmental footprint associated with agricultural practices. By reducing the cultivation area for crops that have high environmental effects and transitioning towards crops that have a lesser impact on the environment, it is possible to achieve a more sustainable and environmentally friendly agricultural system.

The purpose of this study was to propose a nonlinear multi-objective mathematical programming model with water-food-energy nexus approach for crops in Mashhad province. In this study, in addition to economic relations, energy and environmental issues (greenhouse gas emissions) were also analyzed. The various components of the water-food-energy nexus, including energy supply planning, water supply and demand, food production, and control of greenhouse gas emissions, were modeled. The results showed that considering the MOP model based on economic and environmental objectives, the area under cultivation of wheat, barley, alfalfa, tomatoes, sugar beets and potatoes has significantly decreased. In other words, in order to achieve the objectives of maximum profit and minimum environmental impact, the area under wheat, barley, tomato, corn should be reduced and the area under cucumber, onion, potato and sugar beet should be increased. According to the results of this study, the following suggestions are presented:- Implementation of the proposed optimal model of water-food-energy nexus allows farmers to simultaneously maintain economic income, environmental considerations, optimal and sustainable consumption of resources (water-food-energy) to select and consider suitable policies. So, it will only be a sustainable policy if it can be built within the combined framework of water, food, energy and the environment. In order to minimize the emission of greenhouse gases and its damage to the environment, the area under cultivation of agricultural products that have high environmental impact should be reduced, and in contrast to changes in cultivation pattern, the strategy to produce crops with less impact. Therefore, by developing a cropping pattern model, the productivity of the production capacities of the agricultural sector can be maximized and at the same time the damages and destructive consequences of crop production can be reduced.

Khorasan Razavi Province suffers from the most critical groundwater resources in Iran, i.e. the groundwater decline has reached 1 m; 34 out of 37 water plains are banned in Khorasan Razavi Province. Recently, Mashhad plain has been fighting with the crisis of drought and water scarcity. Illegal harvesting from groundwater resources and the warming trend caused by change in climate have exacerbated the crisis. Comprehensive water resources management, assuming the complicated nature of water-related issues, rapid growth of population, water requirement for a variety of purposes, and limited water resources, requires novel methods to stack up technical, economic, environmental, social, and logical perspectives in an integrated forum. One of the tools for comprehensive water resources management is utilizing hydro-economic models to simulate the present status of drainage basins and evaluate the impacts of different scenarios and policies. The current study used a hydro-economic model to simulate the hydrological status of Mashhad plain and evaluate the impacts of different scenarios. Then, the agent-based model (ABM) was used in order to reach an agreement with stakeholders on executing different conservation scenarios. The hydro-economic model results revealed that reducing the water demand of the agricultural sector and, as a result, surface and groundwater consumption is possible through following adaptation scenarios. Implementing various adaptation scenarios may alter the present cultivation pattern. Moreover, the ABM results showed a significant difference between the volume of available water, due to the execution of strategies, and water demand, bringing about the lack of farmers’ cooperation regarding the implementation of conservation scenarios. However, through applying some incentive policies, a number of representative farmers may agree to pursue adaptation scenarios.

The stability of the cultivation and production of cotton or any other product requires its competitiveness with other agricultural products in the region. Therefore, research is one of the determinants of competitiveness of agricultural products. This study aimed at evaluating the economic impacts of cotton breeding research in Razavi Khorasan province of Iran under two scenarios of small open and closed economies. For this purpose, two categories of data related to technology (average yield increase, supply curve displacement parameter, research success probability, depreciation factor) and market (research costs, product price, supply price elasticity and discount rate) of cotton breeding research projects terminated during 2015-2019 in Razavi Khorasan Agricultural Research and Training Center were used in an economic surplus analysis method. Based on the results, under the scenario of small open economy, the average net present value of benefits, internal rate of return and the ratio of profit to cost of each breeding research were predicted and evaluated 12718000 thousand IRI rials, 55 percent and 7.6 and under the scenario of small closed economy, 9134351 thousand IRI rials, 50 percent and 5.7, respectively. These values ​​indicated the high efficiency and acceptable economic profitability of cotton breeding research under both scenarios, but the study results and findings indicated that the interaction and presence in global cotton markets would increase the benefits and distributive effects of agricultural research and cotton competitiveness in Razavi Khorasan province. Therefore, in agricultural research policy making, the degree of interaction of the country's economy with global markets should be considered.

The purpose of this study is to simulate and evaluate the water market's efficiency and compare it with the law of optimal allocation of water and allocations based on fixed and proportional quotas. The study area is located in the Jiroft sub basin in the Hali Rood watershed and data are for 2015 which were obtained from the Agricultural Jihad Organization of southern Kerman province. The method used is calculate the benefit from irrigation and minimize income losses in the entire region. For this purpose, the first 20% and 30% restrictions was imposed on use of groundwater resources, and then the effects of optimal allocation law, allocations based on proportional and fixed quotas on the benefits of irrigation were investigated. Subsequently, through the water market simulation, the market performance was analyzed after the implementation of these rules. To investigate the effect of transaction costs on water trade, transaction costs were considered, zero, 5, 10, 20 and 30 percent of water price. Based on the results, if the conditions of perfect competition are on the market and transaction costs are zero, the optimal allocation and formation of the water market will result in the same final allocation of water rights and irrigation benefits for the whole region. Also, by reducing the availability of water resources, the benefits of water trade will increase and with increasing transaction costs, reduces the volume of water exchanged and the gains from trade.

The increase in water demand and the expansion of water pollution due to the development of agricultural, urban and industrial activities have led to a serious risk of water quality in many places. Therefore, its rational and logical management has become very difficult and complicated. In recent decades, concerns about water pollution from agricultural activities and its consequences have been growing. The existing regulations are not sufficient to limit the water pollution of the agricultural sector and to achieve the desired environmental consequences. Thus, economic tools have increasingly been proposed as an affordable way to limit pollution. Therefore, the side effects of water consumption in agriculture are vital issues for controlling and managing water pollution. The recent challenges in water resources of the Zayandehroud basin have led to the fact that this area has not been safe from water pollution and also the supply of high quality water is a major challenge in this basin. Therefore, providing a purposeful cropping pattern by reducing the side effects of water pollution caused by agricultural activities for the Zayandehroud basin can play an effective role in the quantitative and qualitative management of watershed resources.

In this study, the water resources management system of Zayandehroud basin has been modeled based on a multi-objective programming model. This model includes hydrological functions, land allocation, resource transfer and exploitation capacities, and the objective function is to maximize the net present value of the total benefits at the basin level. Also, the amount of water available in different sub-basins, the crop yield and net water requirements was simulated using the WEAP model for the 2040 horizon. This data was used as input in the economic model. In the next step, the side effects of water pollution are estimated and internalized in the economic model using permissible limit of water pollution in constraint and the cost of water pollution in the objective function. The mechanism designed to internalize the side effects of water pollution is simulated using the SWAT model and added to the integrated water management model of the basin as environmental constraint and cost of nitrate losses in objective function. Therefore, by comparing the results of these two models, it is possible to evaluate the internalization of the side effects of water pollution on farmers' livelihoods and the cropping pattern in the basin.

Cropping pattern under basic conditions was applied in WEAP software for different regions. Yield and net water requirements of products were simulated using MABIA tools. The results were extracted by each region and then estimated at basin level. The results of the optimal cropping pattern after simulating the hydrological parameters of the basin showed that the gross margin compared to the current conditions for Najafabad, North Mahyar, Lenjanat, Kuhpayeh-Segzi, Isfahan-Borkhar and Ben-Saman regions was 14, 5, 15,18, 15 and 20 million Rials per hectare, respectively. The increase in the share of irrigation technologies in the economic model compared to the current model for Najafabad, Lenjanat, Kuhpayeh-Segzi, Isfahan-Borkhar and Ben-Saman regions was 40, 57, 35, 45 and 91 percent, respectively.Therefore, it can be expected that by changing the cropping pattern and also increasing the use of new irrigation systems, it is possible to improve the livelihood of farmers in the basin according to the current and future hydrological conditions. But these changes have increased the side effects of pollution on the basin. Therefore, it is necessary to provide a model that, in addition to improving the benefit, also reduces the cost of nitrate losses. The results of the optimal bioeconomic model indicate that with the application of this model, the rate of gross margin and the cost of nitrate losses have been obtained at 58 and 28 million Rials per hectare, respectively. Comparison of this model and the optimal economic model shows that farmers' gross margin and nitrate losses have decreased about 3 and 2 million Rials per hectare, respectively. Comparison of the current and optimal bioeconomic model also shows that while improving the gross margin by 12 million Rials, the rate of nitrate losses below the allowable level in the basin can be realized.

Zayandehroud basin is one of the most important watersheds in the country, which is facing the challenge of quantitative and qualitative water shortages. The main purpose of this study is to quantitatively and qualitatively manage water resources and evaluate the consequences of internalizing the side effects of water pollution on this type of management. The results of the study showed that using the optimal economic cropping pattern will increase the farmers' gross margin and improve their livelihoods.  Also, comparing the results of the economic model with the multi-objective bioeconomic model showed that considering the side effects of water resources pollution in some areas is effective and in others is ineffective. Therefore, it is recommended that in future studies, considering the effective role of different policies in the field of water resources quality, the effects of different scenarios of climate change, drought, population growth, etc. be examined and analyzed.

The main aim of architectural schools is to train professional architectures who can design and organize the living spaces for people. But unfortunately these days most of them have not reach this goal. The most important reason of this issue is that the topics in the architectural schools do not correspond with the needs of professional workplaces. So it is important for the architectural schools to train professional architects who have enough abilities to start working, design and build real places.The 5 courses of architectural design studio are very important in learning system of Iranian architectural Universities. So it is important to analyse different teaching methods and their effects on each of these courses. In the first part of this article, the course programs of architectural design 4 have been analysed. The topics, goals and the steps of each method is explained; and in the following the effect of inductive teaching method has been analysed at Khayyam University of Mashhad as the case study of the research. The hypotheses of the research explore that the inductive teaching method let the students design more creative and rational projects, fulfil the needs of the projects that have correct relations among the spaces.

The case study is Khayam university of Mashhad because one of the researchers of this research has been teaching in this university for many years. The research method is descriptive and analytical and survey research; and information was gathered by a questionnaire, observation and documental studies.The validity of questionnaire is controlled by content validity method and the reliability of the information was controlled by triangular method. The gathered information were analysed with content analysis, Spss software, graphical and deductive analysis.

The results show that inductive teaching system let the students design more rational projects, which fulfil the needs of the projects that have correct relations among the spaces. These projects will be more executive and reach the architectural training goals in the school’s topics, define a better relation between the standards of the project and creative concepts and ideas and finally these projects will have better space quality that correspond with the topic of the design. But this method of teaching design process restricts the student’s creativity.

changing the teaching methods architectural schools, changes the design process and the results of the final projects. There is a meaningful relationship between the independent and dependent variable. Because the correlation coefficient between the method of teaching designing process and the final result is good. According to the results of field studies and the research’s background we can claim that there is a relation between the teaching method of design process and the results. Each of the teaching method, according to their goals and topics which they focus on, can be successful in designing a good architectural project that fits the needs and functional conditions    In future researchways to alleviate the problems ofthis instructional approach that led to limiting students’ creativity are recommended.

This study aimed at exploring the spatial effects of agricultural sustainability on food security of urban households in Iran over the period of 2005-15. For this purpose, first, the overall level of agricultural sustainability was calculated using a combination of agricultural sustainability and weighting indicators based on Analytic Hierarchy Process (AHP) method. Then, the household food security index (AHFSI) was used to determine the food security of households in urban areas. Finally, the effectiveness of agricultural sustainability on food security of urban households while other effective factors in place was examined using the mixed Spatial Autoregressive (SAR) model. The results of the model indicated a positive and significant effect of agricultural sustainability on food security in urban households, and the significance of the dependent spatial interruption coefficient confirmed the existence of spatial effects. So, the results of calculating the direct and indirect effects of agricultural sustainability index on the food security of each province and neighboring provinces were positive and significant. These results indicated the intra- and inter-provincial overflows. Therefore, it is imperative for policymakers of the agricultural sector to invest in production infrastructure such as seeds, fertilizers and agricultural practices with a focus on enhancing sustainable production as a prerequisite for the establishment of sustainable food security.

Population growth and loss of environmental capacities for food production have rendered the realization of food security a more complicated task as compared to the previous decades. To cope with this crisis, sustainable agricultural development can play a remarkable role in improving food security. The present study aimed to explore the spatial effects of agricultural sustainability on food security of rural households in 30 provinces of Iran over the period of 2006-2016. For this purpose, first, the overall level of agricultural sustainability using a Composite Sustainable Agriculture Index (ICSA) and weighting indicators were calculated based on Analytic Hierarchy Process (AHP) method. The Aggregate Household Food Security Index (AHFSI) was used to determine the food security of households in rural areas. Also, the effectiveness of agricultural sustainability on food security of rural families, as well as other effective factors, was examined using the mixed Spatial Autoregressive (SAR) model with panel data. Results show that the spatial spillovers of the agricultural sustainability influence food security positively and significantly. In fact, 1% increase in the agricultural sustainability index of a certain province directly improves food security of the same province by 0.043%, while its food security is indirectly enhanced by 0.0131% with 1% increase in the agricultural sustainability index of other provinces. It is imperative for policymakers of the agricultural sector to invest in production infrastructure of different provinces in Iran and focus on enhancing sustainable production as a prerequisite for the establishment of sustainable food security.

150 years consensus on clinical diagnostic criteria of pain, contraction and spasms has been questioned to explain vaginismus. The aim of this study was to understand the process of vaginismus diagnosis in women.

The present study was conducted with a qualitative approach based on the content analysis between 2014-2015. A total of 33 participants including 20 in patients group and 13 in clinical diagnostic group (gynecologist, midwife and clinical psychologist) were selected through purposeful and theoretical sampling in the clinics and family health centers of Tehran and Karaj and they were interviewed based on semi-structured method.

From data analysis, two topics of "perceived disorder in marital relations" with sub-themes of physical suffering and inability to have sexual intercourse and annoyance and psychological-emotional damage and also "applied diagnostic skills and knowledge" with sub-themes of behavioral interaction, were obtained from the diagnostic conditions and diagnostic criteria of the therapist.

The results showed that the therapist should be able to skillfully observe and discover the clinical diagnostic criteria of vaginismus, such as spasm, contraction, and pain, based on what he or she has learned as knowledge of vaginismus. The vaginismus is subsequently confirmed by a skillful analysis of the patient's marital status and the discovery of the dimensions of the patient's physical suffering and inability to have sex and the resulting psychological and psychological damage. For a definitive diagnosis of vaginismus, it is recommended that, at the first, a gynecological examination be performed to detect the clinical features, and second, a skilled analysis of the quality of the couple's marital relationship is recommended.

The present study aims at investigating nonlinear free vibration of thermally buckled functionally graded nanobeam. The nonlocal nonlinear Euler-Bernoulli beam theory as well as linear eigenmodes of a functionally graded nanobeam vibrating around the first buckling configuration are employed to derive a system of ordinary differential equations via the Galerkin method. Semi-analytical solutions are obtained based on both the homotopy perturbation method and the variational iteration method. Results show that the difference between nonlinear and linear frequencies increases with a rise in the maximum lateral initial deflection, small scale parameter value, and index of the power law. Investigating the effect of the ratio of length to thickness on the variance between the nonlinear and linear frequencies shows that the aspect ratio makes no difference on the classical ratio of nonlinear to linear frequencies although the difference between the nonlocal nonlinear and linear frequencies decreases with a rise in the aspect ratio. In contrast to the ratio of the first nonlinear frequency to the first linear one which will decrease if compressive axial load increases, the values of the compressive axial load which are beyond the load bearing capacity of the functionally graded nanobeam do not affect the ratio of the second nonlinear to linear frequencies.

Welding has been employed at an increasing rate for its advantage in high joint efficiency, water and air tightness, weight saving, reduction in fabrication cost and design flexibility. However, welded structures are not free from problems. Residual stress and distortion are major difficulties with welded structures. The buckling distortion of welded structures caused by welding stress is seen in relatively thin welded structures. Buckling distortion causes loss of dimensional control, structural integrity and increased fabrication costs. Thus, it is necessary to achieve a predictive analysis technique to determine the susceptibility of a particular design to buckling distortion. This paper presents a predictive buckling distortion method to determine if welded structures buckle during welding or not. In this method, a 3D thermal transient process is coupled to a 3D eigenvalue analysis to determine the total entropy generation due to welding and critical total entropy generation, respectively. In this work, because of the small size of the melted region (weld pool), the heat source model developed by the moving isotherm pool is used. Welding time in this work is calculated by dividing the welder speed obtained from the practical welding characteristics data by the length of the welded region. The temperature dependent thermal properties of material were also incorporated into the model. In this research, temperature distribution producing the minimum value of longitudinal stress to cause the buckling of welded shells is predicted by 3D eigenvalue analysis. This temperature distribution creates negative longitudinal strains in the welded region, causes tensile longitudinal stress in regions close to the weld line and compressive stress in regions away from the weld line. Total entropy generation, due to this temperature distribution, which is named critical entropy (Scri), is calculated. The comparison between total entropy generation due to completely welding shells (SW) and critical entropy is a good criterion to predict the possibility of buckling welded shells. In this method, the computational time is much less than in the previous methods because of omitting the mechanical analysis of welding. The correctness of this predictive method is proved by analytical results.