Abstract-In recent years, environmental pollution is one of the most commonly discussed topic in international scene. Environmental pollution and its associated aspects are not limited to the location of occurrence, but inevitably influence other regions too; as it says: "There is one earth for all". In other hand Environmental pollution is one of the most commonly discussed topics in today's national and international political societies in which increasing efforts are being made. Environmental pollution and its associated aspects are not limited to location of accident but inevitably influence other regions. Emission of carbon dioxide into the atmosphere or transfer of nitrates, and other hazardous chemicals into the rivers, seas and ocean waters can suggest such claim. Due to the lack of associated rules, criteria and regulations for issuance of environmental liability insurance, QSPM (Quantitative Strategic Planning Matrix) technique was applied in this study to introduce strategic factors required for such analysis. There are ten integrated strategies. The essential strategy is using legal tools to assess environmental risks in different industries. Results show that we need raising awareness of environmental accidents outcomes, which is concerned by insurance companies at developing countries.Index Terms-Environmental pollution, hazard, QSPM, Internal and external factors, SWOT.

Introduction: Today, every organization needs healthy and efficient employees to survive and develop, and also organizations should be able to utilize the full potential of their employees and put the right person into every position. To achieve this goal, HSE management programs should be seamlessly implemented to eliminate parallel activities and create a balance in the organization's current affairs by motivating the staff, increasing productivity, and saving money. Therefore, this study aimed to study the efectiveness of HSE management programs and its relationship with job satisfaction in the Noosh Azar Companyat the west of Tehran. Methods: In this descriptive-analytical study, 60 persons from the staff of the Noosh Azar Company were randomly selected using the Cochran formula. The assessment tool was a researcher-made questionnaire, which its validity was confirmed by the professors and faculty members and its reliability was measured using Cronbach's alpha. Data were analyzed using the SPSS 22 software. Results: The results showed that there was a significant and positive correlationbetween the total score of the HSE programs and the total score of job satisfaction and all of its dimensions before and after the intervention. Regarding the ranking of the HSE management indicators, "professional health control programs" had the highest scores and regarding the ranking of the job satisfaction indexes, "technical management" had the highest score. Conclusions: Considering the significant relationship between job satisfaction and HSE management programs, it is recommended that these programs be implemented coherently and with a higher quality to improve the employees' satisfaction.

This study has done to surveying the relationship between Hofstede's cultural dimensions and HSE culture individual according to Geller model. Populations were 25 people of cultural management and planning elites. For a sampling it was used of simple sampling method. For gathering data in theoretic section we used library and also interview with scholars and specialists of the organization and in data gathering section we used questionnaire method. In this research, In order to determine the validity of data collection we used Cronbach's alpha to test the validity of the formal symbol or reliability. To analyze hypothesis, we have used descriptive statistics and inferential statistics. Findings show that there is not relationship between Hofstede's cultural dimensions (Power distance, Individualism-collectivism, Masculinity-femininity, Uncertainty avoidance, Long-term orientation) and culture individual according to HSE model.

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Introduction: The release of storage tanks' contents can lead to consequences such as BLEVE, explosions, fires, etc. Therefore, identifying the causes of content release, determining the scenarios, consequences, and possibility of incidents are required to prevent possible accidents. Moreover, the vulnerability and safety ranges should be determined to minimize the losses. Methods: In this research, the Bowtie method was used to evaluate the risk caused by the pressurized reservoirs. After identifying the risks of process hazards and determining the main, middle, and base events, the fault tree was mapped. Then, the events probability was calculated. In the next step, the event tree was designed to determine different scenarios of events and identify the consequences of each incident. Later, the probability of consequences was calculated. The Bowtie diagram was designed in the next step. Finally, the vulnerability zone was determined for each of the consequences using the PHAST software. Results: Considering the Bowtie's analysis, a total of 27 events including 21 base events, six mid events were determined. Furthermore, 15 minimal counts along with their event probabilities and importance were identified. In this regard, nine outcomes and scenarios were determined along with their probabilities. The widest human vulnerability zone was related to cloud and steam explosions. Conclusion: Leakage from the reservoir and connections, overflow, and PRVs are among the important defects of liquefied petroleum gas reservoirs. Considering the high probability of consequences and in order to prevent from the severity and damages of accidents, systems such as cooling system and fire stop system are required in the unit.

Background and Objectives: Globally, rising energy demand has driven humans to extract oil and gas, even in the depth of seas. This is also important in the Persian Gulf and has caused a lot of environmental pollution. The purpose of this study was to determine the environmental pollution of offshore gas platforms by Principal Component Analysis methods and Bayesian network model. Materials and Methods:This descriptive study was conducted from 2019 to 2020 on offshore gas platforms in South Pars field. The required data were collected through interviews with experts. Then, using the analysis of the main components, the factors with less effect were eliminated and other factors in Bayesian networks were investigated.Results: Based on the results of Bayesian network, for the overall pollution of the platform, the probability of the average level was 0.95%, the probability of the high level was 8.11%, the probability of the very high level was 18.5%, and the probability of the critical level was 72.5%. The results of the Principal Component Analysis section showed that the highest variance is related to the first Principal Component and its value is approximately 40%, and also the highest eigenvalue is related to this component with the value of 1.909. Conclusion:The effect of gas platform activity in the two parts of water pollution and biodiversity damage has the greatest effect. Among the two factors with very high levels of pollution, the effect of gas platform on biodiversity and living species is more pronounced than the others. Also, the combination of two methods of Principal Component Analysis and Bayesian networks for data management in the field of platform environmental management is fruitful.

In developing countries, the use of bioindicators could be a good way to transmit pollutants to the environment. In this study, the accumulation of heavy metals such as lead, zinc and cadmium in Columba livia feathers in males and females and live and dead species inside in the Industrial town of Zinc-Zanjan and comparison with control species outside the industrial town were studied. The feathers of 164 pigeons were collected and dissolved by chemical digestion method. In this study, heavy metals were measured by the avanta GBC atomic absorption device. The mean concentrations of lead, zinc and cadmium were determined greater in dead female pigeons, dead male pigeons, live female pigeons, and live male pigeons respectively. This was also the case with the control species. Statistical analysis of data was performed with SAS software. (P ≤ 0.05, 95% confidence level) and (P ≤ 0.01, 99% confidence level) were considered as significant differences. The results of statistical tests in the samples inside in the Industrial town of Zinc-Zanjan showed that there is a significant statistical relationship between gender and live and dead bird and elements of lead, zinc and cadmium, while for the control species outside industrial town were different. Significant levels of heavy metals in bird feathers indicate their usefulness as a non-invasive tool to show the concentration of metals in pigeons to control the level of pollution in the environment. The present study showed that Columba livia had suitable biological characteristics for use as a bioindicator of industrial pollution.

Background: This study aimed at developing and using a semi-quantitative method for analyzing safety resilience in the chemical industry. This cross-sectional, descriptiveanalytical study aimed to develop a semi-quantitative method for analyzing resilience. Methods: This study was carried out based on the Delphi method including 18 experts in chemical and process engineering as well as the health, safety and environment (HSE) engineering in 2018-2020. Results:The development of the semi-quantitative method for analyzing safety resilience took place after three rounds of the Delphi study. In this Delphi study, all the members of the experts' panel approved the three components of preparedness, likelihood, and severity with an 80% acceptance level. The results of the field study revealed 131 hazardous elements. The maximum and minimum values of resilience were found to be 500 and 100 belonging to failure in utility and failure in the distributed control system, respectively. Conclusion:The developed semi-quantitative method has acceptable reliability for the analysis of safety resilience in the chemical industry. Therefore, the analysis in the chemical industry can be considered an effective, necessary decision-making instrument for predicting and preventing dangers threatening the process, manpower, and nature of the chemical industry.