Trends of particulate matter (PM10) concentration and related Air Quality Index (AQI) during 2005-2012 in Kermanshah, Iran

Background and Aims: Atmospheric dust, also known as a part of PM10, can cause some adverse effects on public health. The aim of this study was to investigate dust concentration trends in Kermanshah city and also to compare related Air Quality Index (AQI) in different years, seasons and months during 2005 to 2012.Materials and Methods: In this descriptive-analytical study, totally 2589 samples were taken from air monitoring stations owned by the Environmental Protection Agency. The ghatered data were then analyzed using SPSS software V.16.Results: The frequency percentage of PM10 concentrations based on AQI descriptions (healthy, moderate, unhealthy for sensitive groups, unhealthy, very unhealthy and dangerous) were 12.16, 68.36, 12.82, 3.43, 0.77 and 2.43 percents, respectively. It is further interesting to note that in all monitored days during the present study, 19.43% of total days were in unhealthy conditions within AQI> 100. So that, although the frequency of dusty days decreased from summer to fall, failure to meet air quality standard requirements increased from fall to winter and further to spring.Conclusion: The results of this study showed that the observed changes in PM10 concentration were significant in the course of seasons and months. The worst air quality condition occured in summer (specially July). It seems possible that these results are due to frequent dust enterance originating from neighboring countries, humidity reduction, drought and unsustainable use of water resources, temperature rising, as well as wind speed and direction. Because of adverse health effects of particulate matter, it is necessary to promote environmentally aware and responsible science of its trend, short-term and long-term and also international planning to reduce its detrimental impacts.Key words: Air pollution, AQI, Dust, Kermansha

Air quality and variations in PM10 pollutant concentration in western iran during a four-year period (2008-2011), Kermanshah-a case study

The present study explored the quality of PM10, over a four-year period in the western part of Iran. A total of 1334 samples were collected from air pollution measurement stations in Kermanshah. Statistical analysis was carried out using the SPSS ver.14. The results showed that the total percent change in PM10 over a period of 4 years was 10.04, 59.2, 26.4, 0.7 and 3.3. The highest and the lowest frequencies of PM10 occurred in February with 37.7, June and July with 0; winter and summer months with 21.96 and 4.81, respectively. The results are depicted that the air quality in July, the summer months and 2008 was worst in terms of PM10 concentration, which was mainly due to the fluctuations and acute entrance of dust particles into western Iran. Hence, the reduction in such emissions is indispensable and requires extensive and considerable cooperation between the government of Iran and the neighbouring countries. © School of Engineering, Taylor�s University

Evaluation of the relationship between microbial quality of drinking water and the cross-sectional outbreak of related diseases - Case study: Kangavar city (2005-2009)

Background and Aims: Evaluation of the microbial quality of drinking water can help to prevent the diseases in different times and regions that transmitted through water. So the aim of this study is the survey of microbial quality of drinking water and cross-sectional outbreaks of its related diseases in Kangavar city.Materials and Methods: To accomplish this study, first the results of the microbial quality of drinking water in Kangavar city and cases of diseases from all rural and urban health centers within five years (2005-2009) were received. For determination of the relationship between disease and microbial quality of water, the Pearson correlation coefficient (Correlation instructions) in each studied variable (season and location of samples) was used.Results: Results showed that prevalence of all considered diseases (except hepatitis A) in terms of area (urban or rural) and seasons had significant relationship with microbial contamination of drinking water (P value < 0.05). This relationship was stronger in rural areas than urban areas (except for simple diarrhea) and warm seasons compared to cold seasons.Conclusion: According to significant relationship between microbial quality of drinking water and prevalence of dysentery and typhoid diseases in different areas and seasons, it is necessary to keep up the quality of drinking water in the high susceptible regions and times (rural areas and warm seasons).Key words: Microbial quality, Cross-sectional outbreak, Water borne diseases, Kangava

Chitosan modified N, S−doped TiO2 and N, S−doped ZnO for visible light photocatalytic degradation of tetracycline

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Measurement of permethrin, deltamethrin and malathion pesticides in the wheat flour and breads and probabilistic health risk assessment: A case study from Kermanshah, Iran

Abstract: This study was conducted to investigate the residues of pyrethroid and organophosphorus pesticide in flour and breads which were collected from local markets in Kermanshah province, Iran. Four different types of breads and two types of flour samples with high distribution were taken from market and their residues of pesticides were measured. A simple dispersive liquid–liquid microextraction (DLLME) method with solidification of floating organic drop was developed for the measurement. The health risk of these pesticide on adults and children was assessed by target hazard quotient (THQ) using Monte Carlo simulation (MCS) method. About, 15% and 11.1% of total samples contained detectable levels of deltamethrin and malathion, respectively. None of the tested samples, showed any permethrin residue..

Response surface methodology (RSM) and its application for optimization of ammonium ions removal from aqueous solutions by pumice as a natural and low cost adsorbent

This research was conducted to study the adsorption of ammonium ions onto pumice as a natural and low-cost adsorbent. The physico-chemical properties of the pumice granular were characterized by X-ray diffraction (XRD), Fourier transforms infrared spectroscopy (FTIR) and scanning electron microscopy (SEM). Modeling and optimization of a NH4 + sorption process was accomplished by varying four independent parameters (pumice dosage, initial ammonium ion concentration, mixing rate and contact time) using a central composite design (CCD) under response surface methodology (RSM). The optimum conditions for maximum removal of NH4 + (70.3) were found to be 100 g, 20 mg/l, 300 rpm and 180 min, for pumice dosage, initial NH4 + ion concentration, mixing rate and contact time. It was found that the NH4 + adsorption on the pumice granular was dependent on adsorbent dosage and initial ammonium ion concentration. NH4 + was increased due to decrease the initial concentration of NH4 and increase the contact time, mixing rate and amount of adsorbent. © 2016 Archives of Environmental Protection

The global distribution of lymphatic filariasis, 2000–18: a geospatial analysis

Background Lymphatic filariasis is a neglected tropical disease that can cause permanent disability through disruption of the lymphatic system. This disease is caused by parasitic filarial worms that are transmitted by mosquitos. Mass drug administration (MDA) of antihelmintics is recommended by WHO to eliminate lymphatic filariasis as a public health problem. This study aims to produce the first geospatial estimates of the global prevalence of lymphatic filariasis infection over time, to quantify progress towards elimination, and to identify geographical variation in distribution of infection. Methods A global dataset of georeferenced surveyed locations was used to model annual 2000–18 lymphatic filariasis prevalence for 73 current or previously endemic countries. We applied Bayesian model-based geostatistics and time series methods to generate spatially continuous estimates of global all-age 2000–18 prevalence of lymphatic filariasis infection mapped at a resolution of 5 km2 and aggregated to estimate total number of individuals infected. Findings We used 14 927 datapoints to fit the geospatial models. An estimated 199 million total individuals (95% uncertainty interval 174–234 million) worldwide were infected with lymphatic filariasis in 2000, with totals for WHO regions ranging from 3·1 million (1·6–5·7 million) in the region of the Americas to 107 million (91–134 million) in the South-East Asia region. By 2018, an estimated 51 million individuals (43–63 million) were infected. Broad declines in prevalence are observed globally, but focal areas in Africa and southeast Asia remain less likely to have attained infection prevalence thresholds proposed to achieve local elimination. Interpretation Although the prevalence of lymphatic filariasis infection has declined since 2000, MDA is still necessary across large populations in Africa and Asia. Our mapped estimates can be used to identify areas where the probability of meeting infection thresholds is low, and when coupled with large uncertainty in the predictions, indicate additional data collection or intervention might be warranted before MDA programmes cease

Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM2.5 air pollution, 1990-2019 : an analysis of data from the Global Burden of Disease Study 2019

Background Experimental and epidemiological studies indicate an association between exposure to particulate matter (PM) air pollution and increased risk of type 2 diabetes. In view of the high and increasing prevalence of diabetes, we aimed to quantify the burden of type 2 diabetes attributable to PM2.5 originating from ambient and household air pollution.Methods We systematically compiled all relevant cohort and case-control studies assessing the effect of exposure to household and ambient fine particulate matter (PM2.5) air pollution on type 2 diabetes incidence and mortality. We derived an exposure-response curve from the extracted relative risk estimates using the MR-BRT (meta-regression-Bayesian, regularised, trimmed) tool. The estimated curve was linked to ambient and household PM2.5 exposures from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, and estimates of the attributable burden (population attributable fractions and rates per 100 000 population of deaths and disability-adjusted life-years) for 204 countries from 1990 to 2019 were calculated. We also assessed the role of changes in exposure, population size, age, and type 2 diabetes incidence in the observed trend in PM2.5-attributable type 2 diabetes burden. All estimates are presented with 95% uncertainty intervals.Findings In 2019, approximately a fifth of the global burden of type 2 diabetes was attributable to PM2.5 exposure, with an estimated 3.78 (95% uncertainty interval 2.68-4.83) deaths per 100 000 population and 167 (117-223) disability-adjusted life-years (DALYs) per 100 000 population. Approximately 13.4% (9.49-17.5) of deaths and 13.6% (9.73-17.9) of DALYs due to type 2 diabetes were contributed by ambient PM2.5, and 6.50% (4.22-9.53) of deaths and 5.92% (3.81-8.64) of DALYs by household air pollution. High burdens, in terms of numbers as well as rates, were estimated in Asia, sub-Saharan Africa, and South America. Since 1990, the attributable burden has increased by 50%, driven largely by population growth and ageing. Globally, the impact of reductions in household air pollution was largely offset by increased ambient PM2.5.Interpretation Air pollution is a major risk factor for diabetes. We estimated that about a fifth of the global burden of type 2 diabetes is attributable PM2.5 pollution. Air pollution mitigation therefore might have an essential role in reducing the global disease burden resulting from type 2 diabetes. Copyright (C) 2022 The Author(s). Published by Elsevier Ltd.Peer reviewe

Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM2.5 air pollution, 1990-2019 : An analysis of data from the Global Burden of Disease Study 2019

Background Experimental and epidemiological studies indicate an association between exposure to particulate matter (PM) air pollution and increased risk of type 2 diabetes. In view of the high and increasing prevalence of diabetes, we aimed to quantify the burden of type 2 diabetes attributable to PM2·5 originating from ambient and household air pollution. Methods We systematically compiled all relevant cohort and case-control studies assessing the effect of exposure to household and ambient fine particulate matter (PM2·5) air pollution on type 2 diabetes incidence and mortality. We derived an exposure–response curve from the extracted relative risk estimates using the MR-BRT (meta-regression—Bayesian, regularised, trimmed) tool. The estimated curve was linked to ambient and household PM2·5 exposures from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, and estimates of the attributable burden (population attributable fractions and rates per 100 000 population of deaths and disability-adjusted life-years) for 204 countries from 1990 to 2019 were calculated. We also assessed the role of changes in exposure, population size, age, and type 2 diabetes incidence in the observed trend in PM2·5-attributable type 2 diabetes burden. All estimates are presented with 95% uncertainty intervals. Findings In 2019, approximately a fifth of the global burden of type 2 diabetes was attributable to PM2·5 exposure, with an estimated 3·78 (95% uncertainty interval 2·68–4·83) deaths per 100 000 population and 167 (117–223) disability-adjusted life-years (DALYs) per 100 000 population. Approximately 13·4% (9·49–17·5) of deaths and 13·6% (9·73–17·9) of DALYs due to type 2 diabetes were contributed by ambient PM2·5, and 6·50% (4·22–9·53) of deaths and 5·92% (3·81–8·64) of DALYs by household air pollution. High burdens, in terms of numbers as well as rates, were estimated in Asia, sub-Saharan Africa, and South America. Since 1990, the attributable burden has increased by 50%, driven largely by population growth and ageing. Globally, the impact of reductions in household air pollution was largely offset by increased ambient PM2·5. Interpretation Air pollution is a major risk factor for diabetes. We estimated that about a fifth of the global burden of type 2 diabetes is attributable PM2·5 pollution. Air pollution mitigation therefore might have an essential role in reducing the global disease burden resulting from type 2 diabetes

Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM2·5 air pollution, 1990–2019: an analysis of data from the Global Burden of Disease Study 2019

Background: Experimental and epidemiological studies indicate an association between exposure to particulate matter (PM) air pollution and increased risk of type 2 diabetes. In view of the high and increasing prevalence of diabetes, we aimed to quantify the burden of type 2 diabetes attributable to PM2·5 originating from ambient and household air pollution. Methods: We systematically compiled all relevant cohort and case-control studies assessing the effect of exposure to household and ambient fine particulate matter (PM2·5) air pollution on type 2 diabetes incidence and mortality. We derived an exposure–response curve from the extracted relative risk estimates using the MR-BRT (meta-regression—Bayesian, regularised, trimmed) tool. The estimated curve was linked to ambient and household PM2·5 exposures from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, and estimates of the attributable burden (population attributable fractions and rates per 100 000 population of deaths and disability-adjusted life-years) for 204 countries from 1990 to 2019 were calculated. We also assessed the role of changes in exposure, population size, age, and type 2 diabetes incidence in the observed trend in PM2·5-attributable type 2 diabetes burden. All estimates are presented with 95% uncertainty intervals. Findings: In 2019, approximately a fifth of the global burden of type 2 diabetes was attributable to PM2·5 exposure, with an estimated 3·78 (95% uncertainty interval 2·68–4·83) deaths per 100 000 population and 167 (117–223) disability-adjusted life-years (DALYs) per 100 000 population. Approximately 13·4% (9·49–17·5) of deaths and 13·6% (9·73–17·9) of DALYs due to type 2 diabetes were contributed by ambient PM2·5, and 6·50% (4·22–9·53) of deaths and 5·92% (3·81–8·64) of DALYs by household air pollution. High burdens, in terms of numbers as well as rates, were estimated in Asia, sub-Saharan Africa, and South America. Since 1990, the attributable burden has increased by 50%, driven largely by population growth and ageing. Globally, the impact of reductions in household air pollution was largely offset by increased ambient PM2·5. Interpretation: Air pollution is a major risk factor for diabetes. We estimated that about a fifth of the global burden of type 2 diabetes is attributable PM2·5 pollution. Air pollution mitigation therefore might have an essential role in reducing the global disease burden resulting from type 2 diabetes. Funding: Bill & Melinda Gates Foundation