Assessment of health impacts attributed to PM10 exposure during 2015–2017 in Zabol City, Iran

Autor: Shahin Ahmadi, Chinenye Adaobi Igwegbe, S. H. Sharki, Chukwuemeka Daniel Ezeliora, Soumya Ghosh, Christian Osagie, Nadeem A. Khan
Rok vydání: 2021
Předmět:
Zdroj: International Journal of Environmental Science and Technology. 19:4123-4136
ISSN: 1735-2630
1735-1472
DOI: 10.1007/s13762-021-03587-6
Popis: Human respiratory and cardiovascular system is severely affected with the exposure of fine particulate matters, i.e., PM10 or PM2.5. It is also been observed that air quality index (AQI) is used in many countries to define the pollution level related to particulate matters. In this study, investigation based on statistical assessment was done to establish relationship between PM10 exposure in the Zabol city of Iran with the number of patients with respiratory, cardiovascular (heart), and tuberculosis diseases. The data during the period of 2015–2017 were collected using gravitational dust sampling method from Zabol treatment centers in order to establish relation with PM10 exposure. The data set was analyzed using different statically tool as well as descriptive methods for accuracy. In this study, level of air quality index variation with different environmental condition for Zabol city was also been done. It has been observed during this study that during summer the average PM10 concentration (426 μg/m3) was observed to be higher which may be attributed to suspension of particulate matter is accelerated in the presence of heat waves. It was also observed that during the study period, almost four seasons show sign of respiratory disease effect on cardiovascular disease. It is also to report that pulmonary diseases have no effect on cardiovascular diseases. It was also seen during the study that cardiovascular diseases have no influence with the seasonal variation of Zabol city. Respiratory diseases and heart diseases are closely related to the four seasons. Respiratory and heart diseases were found to be statistically significant correlations among all seasons and year. Finally, cardiovascular diseases showed no influence on the seasonal variation.
Databáze: OpenAIRE
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