نشریه علوم و تکنولوژی محیط زیست
سال بیست و پنجم شماره 8 (پیاپی 135، آبان 1402)

Environmental sustainability assessment is largely dependent on a thorough understanding of thefactors influencing sustainability and how they are selected. Therefore, the purpose of thisdissertation is to identify, select and localize the desired indicators in relation to environmentalsustainability and on the other hand its relationship with quality of life indicators in District 2 ofTehran.

The questionnaires were completed by two groups (experts and citizens) to determine the indicators and then analyzed and evaluated the research options were ranked using VIKOR and LINMAP methods. The options considered in this study are 9 areas in District 2 of Tehran

The results show that The results showed alpha coefficient was calculated to measure the internal stability of the questionnaires. According to the results, alpha is 0.954 based on the completed questionnaire in the environmental sustainability assessment section by expert and based on the supplementary questionnaires of citizens is 0.875 and this indicates a go degree of internal reliability of the questionnairesis.

The results show that out of 6 criteria considered in the environmental sustainability assessment section, physical criterion with So that zone 8 with a score of 1has the lowest amount of environmental sustainability and zone 2 with a score of 0 has the highest amount of environmental sustainability. Also, the ranking results of the 9 districts of Region 2 using the Linamp method show that District 2 has the highest rank in terms of quality of life indicators and District 8 has the lowest quality in terms of quality of life indicators.

Forest conversion to agriculture, Forest Understory cultivation and grazing in the forest are considered as the most important factors in the destruction of Zagros forests and in this regard, local and governmental stakeholders have different and contradictory views together. The purpose of this study was to gain a perspective of stakeholders regarding agricultural and livestock activities in Almaneh allotment forests in Sarvabad city. In the Almaneh`s forest village, agricultural activities whether farming or horticultural are carried out either inside the forest (in the form of understory farming, or deforestation and conversion to agriculture and orchard) or at the edge of the forest which in any case affects the forest. In this village livestock also has a direct impact on the forest and it can always be described as an integral part of the forest.

The statistical society of this study includes the people of Almaneh village and some experts of the Natural Resources and Agricultural offices of Kurdistan province. The main instrument of the study is a questionnaire and In total, 115 local and state stakeholders views using a Likert scale on Forest conversion to agriculture, Forest Understory cultivation and grazing in the forest were investigated. Kruskal-Wallis and Mann-Whitney tests were used for data analysis using SPSS software.

According to the results, local stakeholders are not aware of their activities in deforestation and agricultural experts agree with them. But natural resources experts have opposite view. In other words, local and state practitioners have a different perspective on many aspects of the activity and the conflict between local practitioners and government experts, especially natural resource experts, is clearly visible.

So, from a stakeholders perspective, a common item is selected as the selected stakeholders item in all three activities, which shows that these activities are due to economic problems and the lack of local people's income.

Among the most important environmental pollutants are heavy metals that enter the environment from industrial activities such as mining, fuel and energy production, the use of herbicides, cleaners, and urban waste production. The most important and valuable natural habitat in the study area is Arasbaran Biosphere Reserve. The purpose of this research is to determine the concentration of heavy elements in Soungoun copper mine, which have the potential of environmental pollution.

The collected samples after preparation were analyzed by ICP-MS method. Then the geochemical data were statistically analyzed by software such as SPSS. Many univariate and multivariate calculations including: linear correlation, cluster analysis and factor analysis were performed on the database.

Investigations show that the rocks of this area are enriched with elements Te, Mo, Cu, S, As, Sb, Bi, W, Ag, Tl, U, Sn and Pb. Among them, the enrichment of Te, Mo, Cu and S is very impressive. Three groups can be distinguished in the cluster analysis diagram: 1- Sc, Ti, V, Cr, Ni, Be, U, Tl, Co and Fe. 2- Bi, W, Ag, Sn, Cu and As. 3- Sb, Zn, Mn, Pb, Mo and Te. The highest correlation values are observed between Sc-Ti-V, Cr-Ni, Be-U, Co-Fe, Ag-Sn and Sb-Zn elements. The extracted grade of copper and molybdenum in Soungoun complex is 0.61% and 0.01%, respectively, while their average in the studied rocks is 0.73% and 0.0113%, respectively, which are close to each other.

The formation of sulphide minerals is a factor for the high amount of chalcophile elements in the intrusive mass rocks of Soungoun copper mine. Due to the fact that mining activities may cause the release of heavy and toxic elements into geochemical cycles, design is very important in the matter of extracting minerals and should be done with sensitivity and correct and accurate environmental assessment. Therefore, if the mining site is not restored, it will turn into polluted land and this pollution will cause many changes in the physicochemical properties and pH of the soil. Correct, efficient and dynamic management of the environment must be continuously applied to mining activities so that these activities do not deviate from the path of sustainable and healthy development.

Construction industry is known as one of most dangerous industries which incidents occurrence rate is high because of work nature complexity and also unsafe workplaces. Therefor construction jobs are categorized in most dangerous and most full of incident jobs in world.

In this article technical buildings company of Tehran construction projects known as Khaneh-Shahr and Helal existing hazards have been recognized using checklist and then evaluated and assessed using FMEA risk assessment method. Additionally, critical points technique in order to identify and determine construction projects critical risks has been used and also modeled in the form of bowtie using Bowtie Pro 3.3 software in last phase.

Results have shown that Khaneh-Shahr construction project has 7 critical risks from totally 14 assessed risks and also Helal construction project have 8 critical risks from totally 15 assessed risks which have been modeled separately. Furthur mobile crane reversal risk in Khaneh-Shahr construction project and metal-concrete structures crash with equipment, workers and high voltage electricity cables in Helal construction project with RPNs of 420 and 490 respectively, considered as most significant critical risks.

It could be concluded there is posiibility to use risk assessment and incident modeling techniques in combined and analizing incident root causes and probable consequences in construction industries using Bowtie analysis method besides.

Remote Sensing Technology is considered one of the most important sources of spatial and thematic data in the developed world of today. The objective of this work is a comparison of two different methods of change detection in forests using Landsat images. Therefore, sensor Landsat TM images of 1990 and 2011 (ETM+) satellite images have been used.

In the classification of images, the maximum likelihood algorithm, and artificial neural network to multilayer perceptron method were used.

Evaluated results showed that the algorithm approach, the maximum likelihood overall accuracy, and kappa coefficient maps classified in TM image, respectively, are 96.72 and 0.96 percent and image ETM+ 98.02 and 0.97 percent, and the method of artificial neural networks, overall accuracy and kappa coefficient map classified, TM image was 98.22 and 0.97% and ETM+ image was 98.34and 0.97 percent respectively. Following TM and ETM+ classification maps to detect the changes were marked and the map changes obtained.

The results of this study showed that using Landsat data along with data from have inventory capabilities of forest change mapping

The green marketing approach has been welcomed in many organizations and marketers are trying to apply environmental issues in the marketing process. This indicates the importance of social responsibilities in the marketing process of organizations. In this regard, the present study investigates the impact of environmental orientations on green marketing in the hotel industry.

The present study is a descriptive-analytical research in terms of nature and method. The statistical population of the study includes managers and employees of hotels in Shiraz. The number of statistical samples is 200 people. In order to analyze the data, the technique of structural equation modeling based on variance has been used.

The research findings showed that the environmental orientations of hotels with an effect of 0.812 are effective on green marketing, and this variable explains 65% of all green marketing changes. Also, the impact of environmental orientations on each of the three dimensions of green marketing (strategic, tactical and internal) and the impact of environmental orientations (internal and external) on green marketing were confirmed.

Based on the findings and relationships between research variables, it can be said that the effective implementation of green marketing activities depends on the environmental orientations of employees and managers; Therefore, in order to have a proper green marketing approach, hotel managers must train the idea of being green and green behavior among the staff and adjust the hotel processes and activities based on these principles.

Today, food packaging waste management is a challenge on a global scale that has faced many economic constraints in developing countries. If this waste is not managed properly, it will have irreparable consequences on the quality of the environment and human health. The purpose of this paper is to select sustainable scenarios for packaging waste management based on product design. Material and

In this research, by simulating a mathematical model, the costs of waste management scenarios and at the same time the detrimental effects on environmental quality and human health have been minimized. The proposed model, which can be used in various industries, has been implemented using binary genetic optimization algorithm, taking into account the design details, life cycle analysis and end-of-life options (in the form of 9 management scenarios).

In general, estimating the optimal solution of the proposed model in each product group, shows the winning scenario appropriate to the optimal design alternative, which is an economic option with the least destructive effects on the environment and human health. The results of model implementation for a real example show in seven product groups defined four scenarios (25% source reduction, 25% recycling and 45% incineration and only 5% landfill) and scenario five (source reduction by 60% and incineration of 30% of waste and 10% landfill) are the winning options for optimal designs in most product groups. Discussion and

The simulated model helps manufacturers to have a proper estimate of the environmental and economic consequences of the designed product. This research also enables decision makers and policy makers to achieve the goals of sustainable development, by legislating more manufacturers to accept responsibility for end-of-life management of their products as well as municipalities to set up a network. Encourage urban waste management systems.

The number of diesel engines is increasing every year due to high yield and fuel economy and low greenhouse gas emission. Especially biodiesel and ethanol have been considered as major alternative fuels as they are derived from renewable sources. These fuels are well oxygenated and therefore have a great potential to reduce emissions. Material and

The effect of engine load and speed and different percentages of diesel-biodiesel fuel blends on the performance characteristics of a diesel engine was investigated. Experiments were designed by response surface method (RSM), and optimal levels for independent variables were obtained to minimize or maximize response levels.

According to the results, brake torque increased with increasing biodiesel level in fuel blends. Among independent variables, engine load and speed had the greatest impact on engine torque. The maximum torque was obtained for the fuel blend D36B64. Specific fuel consumption increased with increasing biodiesel level in fuel blends in comparison with the diesel fuel. The least specific fuel consumption was obtained for pure diesel fuel. Discussion and

According to the results, the highest torque was 315.55 Nm for fuel (D36.12B63.88) and the lowest torque was 44 Nm for pure diesel fuel (D100B0). According to fuel consumption results, the lowest fuel consumption occurs at 2323 rpm and for pure diesel fuel (D100B0). Also, the highest specific fuel consumption occurs at 67% engine load and 2800 revolutions per minute for pure biodiesel fuel (D0B100) at 304 g / kW. The results of multi-objective optimization indicated that the highest performance characteristics occurred at full load (100%) and engine speed of 1984 rpm for the fuel blend D22B78 (with a desirability of 91%).

Quantitative and qualitative monitoring of vegetation is one of the main applications of remote sensing knowledge. Estimating the area of vegetation and agricultural lands in the traditional way is time consuming. Remote sensing is of great importance for providing up-to-date information, duplicate coverage, sensing in different spectral ranges, quantitative and digital sensing of surface phenomena. This study was conducted to estimate the level of vegetation and agricultural lands of Babolsar county through Sentinel 2 satellite images using NDVI index.

The present research method is descriptive-analytical based on the data of Sentinel 2 satellite images of 2019. These images were extracted from the USGS website. After extraction, the images are processed in remote sensing software systems and geographic information systems, and the required results have been extracted.

After receiving the Sentinel 2 satellite images, the bands 2, 3, 4, 8, which have a spatial resolution of 10 meters, after preprocessing and atmospheric corrections, based on IDL programming language, using NDVI index, Sentinel 2 ROI were obtained, then output. Threshold was calculated between a maximum of 1 and a minimum of 0.5 and with a Shape file output in ENVI and Arc Map software, the area of vegetation and the area under cultivation of agricultural lands in Babolsar county were calculated and concluded on the date of obtaining satellite images. Discussion and

The results showed that the area of arable land and vegetation of Babolsar city is estimated to be more than 52%. Overall accuracy of 95% and kappa coefficient of 89% by evaluating the output of NDVI index showed that Sentinel 2 images can be used to extract vegetation and arable lands.

Environmental changes in the last decade have led to a change in the nature of organizations and their functions. Therefore, due to their social responsibility to society and stakeholders, organizations try to develop the organization in the environment by changing theories such as organizational behavior. The purpose of this is provide a model for preventing bullying in the organization to develop green functions.

This research is developmental in terms of methodology based on the result and is hybrid in terms of data type. In the qualitative part of the research, through meta-combined and Delphi analyzes, an attempt was made to first examine the components of bullying prevention of the organization for the development of green functions and then to determine their theoretical adequacy based on Delphi analysis. In the quantitative part of the research, an attempt was made to prioritize the approved components of the qualitative part during the process of analyzing the comprehensive interpretive structural model in order to determine the most effective ones. The target population in this study in the qualitative part included 15 management specialists at the university level and in the quantitative part were 30 human resources managers of the Martyr and Veterans Affairs Foundation of the three provinces of Semnan, Karaj and Tehran.  

The results showed that the component of prevention of discrimination and conflict with the aim of the effectiveness of green functions becomes the most effective factor in preventing bullying of the organization for the development of green functions.

The results show that conflict control gives employees more motivation to develop behaviors in line with green functions and causes them to accept roles beyond the assigned roles in the field of organization with the peace of mind created in the organizational environment. Based on that, to help make the organization more sustainable in the green field.