Understanding the impact of wetland water area (WWA) fluctuations on air pollution in nearby cities is of great environmental importance. This study is the first effort for investigating the WWA changes in Iran and their impacts on air pollution in the surrounding cities during different seasons. Three-hourly data related to wind speed, wind direction, and horizontal visibility recorded in meteorological stations around Iranian wetlands were used to identify cities located in the direction of dusty winds blown from shrinking wetlands in Iran. Meteorological data were also used to calculate the pollution of dust storm index (PDSI) as a representative of dust pollution in the surrounding areas. Global water surface (GWS) product for a long-term period (1988 to 2018) was used to monitor the WWA in Iran. The correlation between PDSI in dusty cities and WWA in nearby wetlands were analyzed using the Pearson correlation coefficient (r). The results showed that the cities located around Hamoun, Jazmourian, Parishan, and Hourolazim wetlands were affected by dusty winds blown from the wetlands in most seasons. However, the cities around Gavkhouni International Wetland have been affected by the winds only in the warm season. In winter and spring, the strongest negative correlations between PDSI-WWA was respectively observed in Shiraz-Parishan (r = - 0.33; p-value < 0.05) and Zabol-Hamoun (r = - 0.32, p-value < 0.05). However, in the summer and autumn, no strong correlation was observed between the studied variables. On the annual scale, 25% and 15% of changes in dust pollution across the cities around the Hamoun and Parishan international Wetlands were due to the decrease in their water area from 1988 to 2018. On a seasonal scale, about 11% of the changes in PDSI were due to changes in the water area in these wetlands. These results can be useful for implementing air pollution reduction programs in cities affected by dusty winds blowing from the destroyed wetlands.
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http://dx.doi.org/10.1007/s10661-022-10144-2 | DOI Listing |
Front Psychiatry
January 2025
Department of Biomedical Sciences, New York Institute of Technology College of Osteopathic Medicine (NYITCOM), Old Westbury, NY, United States.
Epidemiological evidence from the past 20 years indicates that environmental chemicals brought into the air by the vaporization of volatile organic compounds and other anthropogenic pollutants might be involved, at least in part, in the development or progression of psychiatric disorders. This evidence comes primarily from occupational work studies in humans, with indoor occupations being the most important sources of airborne pollutants affecting neural circuits implicated in mood disorders (e.g.
View Article and Find Full Text PDFEnviron Epigenet
January 2025
Institute of Human Genetics, School of Medicine, Pontificia Universidad Javeriana, Bogotá 110231, Colombia.
Fine particulate matter (PM), an atmospheric pollutant that settles deep in the respiratory tract, is highly harmful to human health. Despite its well-known impact on lung function and its ability to exacerbate asthma, the molecular basis of this effect is not fully understood. This integrated transcriptomic and epigenomic data analysis from publicly available datasets aimed to determine the impact of PM exposure and its association with asthma in human airway epithelial cells.
View Article and Find Full Text PDFEnviron Sci Technol
January 2025
Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China.
Nitryl chloride (ClNO) is a key precursor of chlorine radicals, influencing atmospheric oxidation and secondary pollutants formation. Few studies have examined the ClNO chemistry from the perspective of the planetary boundary layer. Here, we conducted a vertically resolved investigation of ClNO at six heights (ranging from 5 to 335 m) on a 356 m tower in the Pearl River Delta, China, during winter 2021.
View Article and Find Full Text PDFBMC Cardiovasc Disord
January 2025
Department of Epidemiology, Key Laboratory of Public Health Safety and Emergency Prevention and Control Technology of Higher Education Institutions in Jiangsu Province, School of Public Health, Nanjing Medical University, 101 Longmian Ave., Nanjing, 211166, China.
Context: The triglyceride-glucose (TyG) index, a novel health indicator, has been widely employed to assess insulin resistance (IR). However, its relationship with fine particulate matter (PM) exposure remains inadequately investigated.
Objective: This study endeavors to probe the association between PM and TyG within the population of eastern China and to determine whether there are disparities in this association among diverse subgroups.
BMC Geriatr
January 2025
Nursing School, Health Science Center, Hunan Normal University, Changsha, China.
Background: To investigate the association between indoor ventilation frequency and symptoms of depression and anxiety in older persons.
Methods: A binary logistic regression model was used to analyze the effects of indoor ventilation frequency on depression and anxiety by using data from the 2018 Chinese longitudinal healthy longevity survey (CLHLS).
Results: A total of 9,690 older persons with an average age of (83.
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