جستجوی مقالات مرتبط با کلیدواژه "سلامت محیطی" در نشریات گروه "جغرافیا"

Health indicators measure a community based on their health indicators and measure the health among the population according to the trends in these indicators over time, and they are considered as the main component of the sustainability of a community. In the context of the health issue, the provision, maintenance, and promotion of health should constantly be considered as a goal, that is, it should always be across-the-board and comprehensive in its health. The aim of this study was to investigate the environmental and health components of East Azarbaijan province. The research methodology is descriptive-analytic and is an applied research method. The statistical data of the Statistical Yearbook of Statistics of 1390 for the province of East Azarbaijan consists of 22 variables. After collecting information, the data were analyzed by Analytical Hierarchy Process (AHP), the weighting of the indicators was done through entropy. The results obtained from the ranking of 20 provinces throughout the country show that the cities of Tabriz and Osku are among the healthiest cities, and the cities of Ajabshir, Malekan, and Varzaghan are at the lowest level and are among the deprived cities in terms of health components. At the end of the study, the research hypotheses were analyzed in SPSS software using Pearson's correlation coefficient. By increasing the population and employment rate of each city, the level and level of environmental health index increased, indicating a direct and significant relationship between them.

Generally, the green economy does not replace the concept of sustainable development, but is an integral element of economic policies in the path to sustainability, and it can be said that the background to sustainability is because it encompasses three main factors of progress, namely economic, social and environmental development. From this perspective, the present study was conducted to assess the regional sustainability of West Azerbaijan province with the green economy approach and to use the indicators of this new approach in regional sustainability. Regarding the studied components, this research is applied in terms of applied and descriptive-analytical methodology. The statistical population of the study was officials, experts and related experts in West Azerbaijan province. For this purpose, in the province and for each city (17 cities), 25 questionnaires were completed and 425 questionnaires were completed by the relevant experts. For analyzing information, Scott Allen stability radar and barometer models, as well as multiple correlation coefficient, ANOVA and beta tests have been used in SPSS software environment. The results of the stability barometer model indicate the average stability of the province. Meanwhile, the multivariate regression test shows that there is a very high correlation between green economy indicators (independent variable) and the realization of regional sustainability (dependent variable), so the value of this coefficient confirms the relationship between green economy indicators in the realization of sustainability The explanatory factor. Therefore, if the average of each of the indicators of the green economy in the region increases, their role and their impact on the realization of sustainability will increase. Among the surveyed indices, the environmental health index and hazards with the beta value of 0.637 had the most role and explanatory power in predicting the realization of sustainability in the study area and the index of environmental services and welfare with the lowest beta value of 0.001 and Has an influential power in realizing the stability of West Azerbaijan province

This article develops and demonstrates a new quantitative modeling approach for environmental health impact assessment of traffic scenarios. For this purpose, two models based on hierarchical fuzzy inference system (HFIS) are developed. In order to develop HFIS for modeling the effect of transportation system on the PM2.5 concentrations, the data from an air dispersion model are utilized. There are several advantages to this approach such as modeling the spatial variation of PM2.5 with high resolution, suitable processing requirements, and consideration of interaction between emissions and meteorological processes. Moreover, the resulting fuzzy landuse regression (LUR) is capable of using accessible qualitative and uncertain data. In order to develop HFIS for modeling the impact of traffic-related PM2.5 on health, a metric derived from epidemiological studies is employed. The suggested model improved the metric capabilities by modeling the uncertainty of relationships among parameters and parameter value. Two solutions are used to improve the performance of both models. First, the topologies of HFISs are selected according to the problem. Second, used variables, membership functions and rule set is determined together through learning. We examine the capabilities of the proposed approach with assessing the impacts of three traffic scenarios to deal with air pollution in Isfahan, Iran and compare the accuracy of the results with representative models from existing literature. The models are first developed based on the current traffic conditions. Then; Low Emission-Zone and Odd/Even scenarios are examined. The examination shows that, they are the most and least effective scenarios in reducing air pollution and improving environmental health, respectively. The obtained results demonstrate that the proposed approach has desirable accuracy; beside that the model can provide better understanding of phenomena and investigating the impact of each of parameters for the planners.

Human health as a fundamental right and a valuable capital and asset is important to all levels and classes of society. Today، attitudes toward health and non - medicinal health determinants such as psychological، social، factors have widened and special attention has been paid to them. Attention to different aspects of health promotion has an important role in the sustainability of rural areas. This study aims to assess the level of rural health and individual factors (gender، age، education، Family size، marital status، income and occupational status) and is affecting it، on Maybod County located in Yazd province. Methods in this study، from purpose is applied and the method is Descriptive – analytical and correlation، Much of the data based on field studies and sampling (Cochran) to the six villages and 177 households in the sample is collected Using ANOVA tests، Fi Voices Kramer test to compare independent samples and Pearson correlation analysis was carried out. Our findings showed that the average level of health among villagers equals 3. 11 and the average economic، social، environmental and biomedical health equals 2. 3، 3. 15، 3. 75 and 3. 25 respectively and nearly 70% of the villagers have an average health level. Based on research findings، Individual characteristics that affect the health level of villagers، the only family size and marital status had no significant relationship with health، but between gender، age، education، income and occupational status، there was a significant correlation by the levels of rural health. The spatial distribution of health in the villages studied، the average health level of at least 14. 3 at Village Bafroueed up to 66. 3 at Bideh village varied