جستجوی مقالات مرتبط با کلیدواژه « Air Pollution » در نشریات گروه « مدیریت »

In response to the Covid-19 pandemic, governments around the world have imposed severe traffic restrictions and presented different scenarios to reduce emissions from traffic sources. By applying the traffic restrictions caused by the Covid-19 epidemic, it was expected to see changes in the concentrations of air pollutants. Therefore, it was decided that the changes of air pollutants as one of the subsets of the environmental index of sustainable urban development during the covid-19 epidemic will be investigated. For this purpose, the aforementioned data are first collected in the four metropolitan cities: Tehran, Karaj, Ahvaz and Tabriz, and then processed and cleaned. After that, a proposed algorithm based on machine learning methods is presented. Machine learning methods decision tree, random forest, support vector machine, Bayesian network and perceptron neural network are applied to the selected features. Investigations showed that the prediction model using decision tree and random forest had the best performance for both recall and accuracy criteria. The research results showed that the effect of restrictions on the concentration of pollutants in different cities is different. Also, the results show that, in general, the application of traffic restrictions during the epidemic period did not have a significant and noticeable effect in reducing the concentration of air pollutants. Also, the studies showed that the application of traffic restrictions and consequently the possible reduction of some air pollutants are not related to the deaths caused by Covid-19.

Scientists believe that environment is in direct connection with security of society. therefore the This research tries to explore the effects and crisis of fine dust on national security.

Using a qualitative approach and a thematic method, a semi-structured interview was conducted with twenty elites, practitioners and those who are aware of the security issue. Based on the logic of the qualitative method, the interview with the target people was continued by the until theoretical saturation was reached.

It was found thatfine dust have aimed the foundations of the social - cultural, economic, political and defense security of the province.

If this phenomenon continues and basic solutions are not provided to deal with it in the long term, the society security and therefore the national security of the Islamic Republic of Iran will face a challenge.

One of the most issues today most of countries, such as Iran, facing them is unsuccessful implementation of public policies. Although different acts are conducted to implement these policies, but also there aren’t desirable outputs and outcomes.

This paper is prepared in order to determine the dimensions of the implementation of Air Pollution Control Policies in Iran.

In order to explore these dimensions, initially by deep studying of theoretic literature and famous models of policy implementation, indicators and components were determined and then ,because of exploratory nature of research questions, after interviewing with experts and 2 independent study, other indicators and components were exploited by means of “thematic analysis” method.

Data analysis in coding process was resulted in appearance of 85 base themes, 19 organizer themes and 6 inclusive themes.

The dimensions of implementation of air pollution control policies in Iran includes: “policy making”, “Planning and resources mobility”, “management and implementation network”, “supervision and evaluating” “Stakeholders and target groups”, and “context”.