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World climate change is an accepted important subject but its negative effects are severe in arid and semi-arid areas of Iran. So, in the present study, two climate scenarios including RCP 8.5 (critical scenario) and RCP 4.5 (moderate scenario) during 2020, 2030, and 2040 decades and their effects on temperature changes in the wheat growth period in five cities of Isfahan province including Isfahan, Najaf Abad, Chadegan, Burkhar, and Meimeh have been investigated. The survey of temperature changes during wheat growth in the next decades showed that Burkhar, Isfahan, Najaf Abad, Chadegan, and Meimeh, respectively will experience more days with a temperature higher than 30°C in 2020, 2030, and 2040 decades than the mean of two recent years (2017-2018). Furthermore, in comparison with present conditions, the most changes in the number of days with a temperature higher than 30°C in next decades climates (2020, 2030, and 2040 decades) will be in Burkhar, Meimeh, Chadegan, Najaf Abad, and Isfahan, respectively. The range of changes percent in the number of days higher than 30°C in next climate conditions rather than present condition will be varied between 5 percent (Isfahan) till 97 percent (Burkhar). The changes percent in all studied cities were more in RCP 8.5 than RCP 4.5. During wheat growth, the number of days less than zero°C will be less in Isfahan, Burkhar, and Meimeh while will be more in Najaf Abad and Chadegan. The evaporation- transpiration will be increased in the next decades during wheat growth. As a result, planning and using compatibility strategies for each city is important to guarantee wheat production.

Introduction:Today, environmental issues have affected human life in the world, including Iran. Environmental problems are mainly the result of human use of natural resources and improper treatment of the environment, including the inappropriate use of fossil fuels. To achieve sustainable development, specifically in the field of energy, the knowledge of the correct ways of using natural resources and non-profit behaviors towards the environment, as well as proper ways to protect it must be considered. Given that new development approaches emphasize the need for the participation of all individuals and different groups in society, the role of environmental non-governmental organizations in achieving these goals, protecting the environment, and reducing vulnerability is very important. The purpose of the present study was to analyze the strategies of environmental non-governmental organizations in climate change and energy adaptation programs with a focus on an urban area. Materials and Methods:The approach of this research was interpretive. This study was conducted using contextual theory. Participants in this study were selected using purposive sampling in the form of snowball sampling, based on which 16 members of environmental non-governmental organizations in Tehran in 2019 were selected. Sampling in this study continued until it reached theoretical saturation. Accordingly, at the end of 16 interviews, data saturation was obtained. The data were collected using semi-structured interviews and analyzed using open, axial, and selective coding steps. In open coding, the data were first grouped into separate lines and categories, and a code or concept was attached to them. In the axial coding stage, the related raw codes were subdivided in terms of features and concepts. At this stage, the categories were connected as a network, and finally, the main categories and the core category emerged in addition to a paradigm model were extracted. The extracted paradigm model was divided into four parts: causal conditions, intervening conditions, strategies, and consequences. The four parts were formed around the central phenomenon. Discussion of Results and Conclusions:Data analysis showed that the causal conditions affecting the ways of attracting the participation of non-governmental organizations and the causes of the phenomenon of persuasion and related strategies were a sense of responsibility for the environment, scientific and executive ability of members, self-efficacy, and belief in the effect of individual action (effectiveness). Also, the intervening conditions affecting the phenomenon of persuasion were the weakness of society in the field of awareness (about individual duties, environmental knowledge, and status quo), lack of appropriate contexts in the society, weakness in group interactions, lack of proper infrastructure in buildings, and restrictions on laws. Besides, the results showed that the strategies adopted by non-governmental organizations were training and promotion of environmental knowledge at both intra-organizational and extra-organizational levels, improving local knowledge, fear and hope (the promise of a better future and fear of potential risks), sustainable local change (empowerment, alternative jobs, the formation of a local organization), profit and creating consensus between policymakers and active energy actors for legitimacy, division at the government, industry and university levels.The consequences of adopting these strategies were raising the level of awareness, responsibility, empowerment and independence of local communities, earning money, and prosperity of ecotourism. In general, the results of the present study showed that the main method of members of environmental groups to attract the participation of target groups was persuasion. To achieve this, the members of the non-governmental organizations have focused their efforts on educating and benefiting various groups. The results of this study can help other environmental agencies and government organizations to use the various capacities of environmental agencies.

In particular, by identifying clusters of Individuals, households, organizations, cities, countries and nationalities with similar behavioural patterns, it can assist in the crafting of more effective interventions and incentives targeted to specific energy cultures. it also helps energy supply companies understand different behavioural clusters among their customers, so as to better tailor their tariff schemes and products. The purpose of this paper is clustering of buildings by using Grey Set Theory. This theory has the advantage of using fewer data to analyze many factors, and it is therefore more appropriate for this study rather than traditional statistical regression which requires massive data, normal distribution in the data and few variant factors. Gray clustering in this study has been used for two purposes. First, all the variables of building relate to energy audit cluster in two main groups of indicators and the number of variables is reduced. Second, Grey Clustering with Variable Weights has been used to classify all buildings in three categories named “standard”, “Moderate standard deviation” and “completely non-standard”. This classification can be the basis of behavioral research on each group and understanding of cultural differences in each cluster, regardless of technological and structural differences between the buildings. In addition it can be as a tool for understanding the potentials and possibilities for sites of action to achieve behaviour change, whether these are at a general policy level, or targeted at a specific group

The greenhouse gas emissions as a result of human activities is considered the main factor in global warming. This subject is of greater importance in OPEC countries because of the dependency of OPEC economies on fossil fuels and their economic vulnerability in relation with climate changes conventions and the Kyoto Protocol. In this study, besides analyzing the extent of compliance with EKC in the OPEC and OECD countries, the most important factors influencing CO2 emission will be examined and also the policy implications of KEC for Iran will be studied. The findings indicate that firstly, the inverse U shaped Environmental Kuznets Curve is not confirmed for all the studied countries, including Iran. Secondly, manufacturing value added to GDP (as an industrial development index), trade to GDP (as the openness index), and energy consumption to GDP (the energy intensity index) are found to be the main macroeconomic determinants.

Economic development and increased demand for energy make it necessary for the use of renewable and non-renewable energy sources. Raw solid wastes, as one of the sources of biogas, contribute significantly to the creation of a type of renewable energy. Reviews show that biomass energy can be considered as an alternative to fossil fuels. In addition to its fewer harmful effects on the environment, it is an inexhaustible source of energy. The general purpose of this research is to explain a conceptual framework of using renewable energy in rural areas based on biological resources. To operationalize this target, we designed a conceptual framework by designing valid internal and external sources in the field of research. Then, based on the conceptual framework, we calculated the amount of energy extracted in the garden, crop, livestock, and household parts of the under-studied village. In the following, considering the baseline calculations of energy, we presented applied scenarios. The results show that the total amount of energy obtained from biomass is 70857266.1 kJ. By defining multiple scenarios, the energy obtained from the biomass sector can suplly 17.17% of household electricity consumption, 2.60% of gas consumption, 68.58% of the energy needed for public lighting of rural pathways, 54.67% of electricity required for pumping the village water to natural resources lands with 131 meters high, 70.3% of power needed for sprinkler irrigations, and 60.42% of the electricity required for drip irrigation.

Human development is one of the main aspects of development in each country in which different factors could influence this indicator. In this research, interrelationship between gross domestic product (GDP), energy consumption per capita and HDI and their control factors investigate by using simultaneous-equation panel data models based on Generalized Method of Moments (GMM) for a panel of 12 MENA countries during 1997-2015. Findings of this study show that there is a mutual positive and significant relationship between GDP, energy consumption and HDI of the MENA countries. Labor force and investment volume both have positive and statistically significant impact on GDP. On the other hand, Openness of the economy has positive and CO_2 emission have negative relation with HDI of the MENA countries. Also, population and financial development variables have significant and negative relation with energy consumption

The alarming rate of population growth has increased the demand for food production in third-world countries leading to a yawning gap in demand and supply. This has led to an increase in the number of hungry and chronically malnourished people. This situation has created a demand for the formulation of innovative and alternative proteinaceous food sources. Single cell protein production is a major step in this direction. SCP is the protein extracted from cultivated microbial biomass. Algae, fungi and bacteria are the chief sources of microbial protein that can be utilized as SCP. Produced proteins from these microbes have various nutrition values. SCP is the manufacture of cell mass using microorganisms by culturing on available agriculture, industrial wastes and fisheries by products. Fish wastes due to high protein are the most important substrates for SCP production. In this study, SCP production was done from Silver carp and tuna fish wastes (head, tail and vise versa) and cooked water of canned tuna factories. The used microbes were six genus and species of yeasts include Candida utilis, Saccharomyces cereviceae, Rhodotorula, Khyveromyces marxians, Zygosaccharomyces rouxii and Bacillus subtilis and B.licheniformis. The examination was done in bench scale and CSTR bioreactor (Continuous Stirred Tank Reactor). The effects of various parameters such as pH, temperature, time, supplemented substrates, method of inoculation of microbes, rpm were evaluated. Changes of microbial growth and protein contents were tested by using Optical Density (OD) and Makrokjeldal methods respectively. In end of examination, produced protein were extracted and lyophilized. The results showed that protein percentage in bacterial protein was than yeast protein but wet percentage in bacterial protein was low. Production value produced from tuna fish wastes was higher than (30-45 g/l) to Silver carp wastes (25-29 g/l) and cooked water (10-15 g/l). By adding supplemented substrates, production value has been increased. Candida utilis, in comparison other yeasts, has high activation. B.licheniformis has also had more activation than Bacillus subtilis. The results of the effect some parameters on fermentation showed that yeasts and Bacillus in pH= 5.4 and 32oC and pH=6.9 and 35oC were better than growth pH=6 and 25oC and pH=6.5 and 30oC respectively. Time of fermentation in batch and bioreactor was 54 and 21 hours respectively. High rpm has been caused increasing of microbial growth in bioreactor. The conclusion showed that with optimizing of the growth condition such as some parameters (pH, temperature, substrates and so on) produced SCP with high efficiency. However, produced SCP should be exanimated with other specific tests such as amino acid and fatty acid profiles, minerals, nucleic acids and so on. After full examination, this SCP as probiotic could be used in fish and poultry feed.

Introduction and purpose: Energy consumption is on a rapidly growing trend in the world. Accordingly, the non-renewable energy sources are expected to be run out in the future. This issue has resulted in the establishment of efforts targeted toward the development of new energy-generating methods around the world. Biogas energy is one of the new and clean energies that is produced from the anaerobic digestion of biomass wastes. Anaerobic digestion is a cost-effective and environment-friendly method, which facilitates fertilizer and biogas production as well as landfill leachate treatment. Given the high environmental hazards of leachate and its mixture with animal wastes, the present study aimed to estimate the possibility of producing biogas in various mixture ratios. Methods: In this pilot-scale experimental study, the landfill leachate of Mashhad, Iran, were mixed with caw fresh dung in different ratios, but same conditions, under anaerobic digestion. This was conducted to consider the ability to produce methane gas in different proportions and landfill leachate. At the beginning and end of the project, the parameters of EC, pH, VS, TS, COD, TOC, P, K, N, and Na were measured. Additionally, the composition of the gases produced under different operating conditions was analyzed using gas chromatography mass spectrometry. Results: Gas production began three weeks after uploading and continued for five weeks. The analysis of gas production in three ratios was indicative of the CH4 production in all three proportions. In this regard, 1/1 ratio produced the highest percentage of CH4. No gas production was observed in the two months of study. Other physical and chemical parameters, such as COD, TS, TKN, and TOC were reduced in the given mixtures during the biogas production procedure. For instance, the case with 1/1 ratio, which showed the best results, had almost 80% decrease in the given parameters. However, no gas production or change of parameters were observed in the control sample (leachate), which was examined for two months. Conclusion: The findings of the study revealed the possibility of producing biogas out of the mixture of waste leachate and animal wastes. Biogas reduces the risk of waste leachate disposal to the environment and facilitates the production of fertilizers containing nutrients (e.g., Na, K, N, and P), which are standard regarding such parameter as pH, EC, C/N, and reduced VS. Moreover, these gases are cost-effective and environment-friendly.

The AquaCrop model improves farm management practices, including plant density, planting time, and chemical fertilizers. It also simulates crop yield, soil water content, soil salinity, and water productivity. One of the applications of this model is the assessment of rainfed production during the long term, the effect of low fertilization, the productivity of real water on the farm, and the analysis of future climate scenarios. The disadvantages of this model include the lack of calibration of the amount and time of fertilization and the lack of consideration of plant diseases and weeds (Raes et al., 2009). The AquaCrop model is suitable for simulating different water and nitrogen managements on yield (Khoshravesh et al., 2012). Ebrahimi, Rezaverdinejad and Majnooni Heris (2015) evaluated the AquaCrop model under different irrigation and nitrogen fertilizer managements for estimating maize grain yield and biomass in Shiraz. This model predicted the grain yield of maize with high precision and biomass obtained in all treatments was more than the estimated values. Alishiri, Paknejad and Aghayari (2014) in simulating sugarbeet growth under different irrigation regimes and nitrogen fertilizer concluded that the highest error in performance simulation was in the treatment that had the highest fertilizer stress. The purpose of this study was to calibrate and validate the AquaCrop model for estimating the crop grain yield (GY) and biomass (B) of Canola under different irrigation regimes and pure nitrogen fertilizer levels in loamy soils in Gazvin, Iran, for two years.

Abstract Background & Objective: Energy efficiency in wheat cultivation in agro-industry Company of Mazrae Novin Iranian (Agh Ghalla in Golestan province, Iran) was investigated. The aim was comparison of the wheat production method in this company, according to calculated energy efficiency indices, with reported values from other places. Materials &Methods:The company has four units each with an area of 323, 59, 857 and 673 ha, namely A, B, C and D units, respectively. These units were categorised according to their location and farms integration. All farms were rain-fed. Energy efficiency indices were calculated according to direct culled data from each unit. Results: The weighted average of energy input for farms was estimated to be 31.7 GJ.ha-1. Almost 60% of the energy input was indirect energy (in the form of fertilizers, seed, pesticides and machinery) and 40% was direct energy input from tractor fuel. The weighted average for grain yield in farms was 2244 kg.ha-1. The energy intensity of only grain production was 14.12 MJ.kg-1. This high energy intensity results from extra high inputs to achieve the mentioned high yield from rain-fed farms. By converting the grain yield to energy equivalent, the energy output/input ratio was about 1.04 MJ.MJ-1. Conclusion: Optimisation of nitrogen fertiliser consumption and reduction of machinery operations make opportunities to reduce energy input in company's rain-fed farms without reducing the grain yield. The use of straw as the by-product should be considered by the company.