Hossein Rashnoud, Davood Jalili Naghan,
Volume 20, Issue 4 (3-2023)
Abstract
Background and Aim: Dust storms have negative effects on public health, social economy and environment and, thus, lead to many damages in human resources, health sector and agriculture. Iran is one of the areas affected by particulate matter, with serious damages annually. For these reasons particulate matter increases should receive particular attention in Iran.
Materials and Methods: This research was conducted on solid/mineral section of dust fall in Poldokhtar, Lorestan Province, Iran. Sampling of the particles was done in nine spots in three stages during three months to measue heavy metals, cations and anions. Analysis of the samples for cations and anions was done using the Ic Metrohm system and that for heavy metals using the Icp OES-arcoss system.
Results: Sampling of dust fall was done in February, March and April 2019. Data analysis showed the most highly concentrated cation and anion were SO4 and F, respectively, while the concentrations of Fe and Al were the highest among heavy metals.
Conclusion: The highest amounts of dust fall were found to occur in February 2019, followed by that in March 2019, and the lowest occurring in April 2019. Due to the fact that compounds/elements with both natural and unnatural origins were found in this study, it can be concluded that the origins of the compounds/elements observed could be both natural and unnatural.
Abdolmajid Fadaei, Hajar Ahmadi, Esmaeil Fatahpoor, Yasser Jalilpour, Morteza Ariyanfar, Davood Jalili Naghan,
Volume 21, Issue 4 (3-2024)
Abstract
Background and Aim: Air pollution has been widely established as an important risk factor for heart and respiratory diseases and mortality. The aim of this study was to compare the relationships between short-term exposure to air pollutants and hospital admissions, cardiovascular and respiratory deaths and total deaths in Ahvaz and Shahrekord, Iran.
Materials and Methods: In this ecological and time-series study data were collected on hospital admissions, cardiovascular and respiratory deaths and total deaths between 2012 and 2018. For data analysis Quasi-Poisson regression combined with linear distributed lag models were used and adjusted for trend, seasonality, temperature, relative humidity, weekdays and holidays.
Results: Data analysis showed that in Ahvaz there were statistically significant direct correlations between PM10 exposure and respiratory admissions, PM2.5 exposure and total deaths and cardiovascular admissions, O3 exposure and total deaths, and CO exposure and cardiovascular admissions. As regards Shahrekord, there were statistically significant direct correlations between PM10 exposure and respiratory deaths, PM10 exposure and cardiovascular deaths, PM2.5 exposure and cardiovascular and respiratory admissions and respiratory deaths, O3 exposure and total deaths, and CO exposure and respiratory deaths.
Conclusion: It seems there are statistically significant relationships between air pollution and hospital admissions and deaths in Ahvaz and, to a lesser extent, in Shahrekord.
