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Abstract Particulate matter (PM) is a major air pollutant causing serious health problems. The aim of the present study was to find out concentration of PM in ambient air and its associated health risk in Haripur city, Pakistan. Twenty-three samples were taken at various educational institutes, hospitals, recreational areas and industries in Haripur city. Concentration of PM2.5 (µg/m3) and PM10 (µg/m3) was measured with Youngteng YT-HPC 3000A portable PM counter. The results revealed that values of both PM2.5 and PM10 were above the permissible limits (35 µg/m3 for PM2.5 and 150 µg/m3 for PM10) set by Environmental Protection Agency Pakistan (Pak-EPA) in all the educational institutes, hospitals, recreational areas and industries investigated. Furthermore, significant (p 0.05) variation was found in the concentration of both PM2.5 and PM10 in all the educational institutes, hospitals, recreational areas, and industries studied. The concentration of PM2.5 was positively correlated with the concentration of PM10 in all the sampling sites. Therefore, from 1-14 scale standard of health index, the values of PM2.5 and PM10 exhibited that the ambient air quality of Haripur city Pakistan is under high risk. If the regulatory authorities such as Environmental Protection Agency, Health Department and Local Government monitor PM pollution in different settings of Haripur city, then a decrease can be possible in the pollution level. The remedies that can be taken to overcome the problem of ambient air pollution such as PM are plantation of trees at the sites where there are higher levels of air pollutants and use of masks on personal protection basis along with implementation of pollution control system in industries of Hattar Industrial Estate Haripur city, Pakistan.
Resumo O material particulado (MP) é um importante poluente do ar que causa sérios problemas de saúde. O objetivo do presente estudo foi descobrir a concentração de MP no ar ambiente e sua associação com o risco à saúde na cidade de Haripur, Paquistão. Vinte e três amostras foram coletadas em várias instituições de ensino, hospitais, áreas recreativas e indústrias na cidade de Haripur. A concentração de MP2,5 (µg/m3) e MP10 (µg/m3) foi medida por meio do contador de MP portátil Youngteng YT-HPC 3000A. Os resultados revelaram que os valores de MP2,5 e MP10 estavam acima dos limites permitidos (35 µg/m3 para MP2,5 e 150 µg/m3 para MP10) estabelecidos pela Agência de Proteção Ambiental do Paquistão (Pak-EPA) em todas as instituições de ensino, hospitais, áreas recreativas e indústrias investigadas. Além disso, foi encontrada variação significativa (p 0,05) na concentração de MP2,5 e MP10 em todos os locais estudados. A concentração de MP2,5 correlacionou-se positivamente com a concentração de MP10 em todos os locais de amostragem. Portanto, a partir da escala padrão 1-14 do índice de saúde, os valores de MP2,5 e MP10 mostraram que a qualidade do ar ambiente na cidade de Haripur, Paquistão, está sob alto risco. Se as autoridades reguladoras, como a Pak-EPA, o Departamento de Saúde e o governo local, monitorarem a poluição por MP em diferentes configurações da cidade de Haripur, pode ser que haja uma diminuição no nível de poluição. As medidas que podem ser tomadas para superar o problema da poluição do ar ambiente, como o MP, são o plantio de árvores nos locais onde há maiores níveis de poluentes atmosféricos, o uso de máscaras e a implantação de sistema de controle de poluição nas propriedades industriais de Hattar, na cidade Haripur, Paquistão.
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Particulate matter (PM) is a major air pollutant causing serious health problems. The aim of the present study was to find out concentration of PM in ambient air and its associated health risk in Haripur city, Pakistan. Twenty-three samples were taken at various educational institutes, hospitals, recreational areas and industries in Haripur city. Concentration of PM2.5 (µg/m3) and PM10 (µg/m3) was measured with Youngteng YT-HPC 3000A portable PM counter. The results revealed that values of both PM2.5 and PM10 were above the permissible limits (35 µg/m3 for PM2.5 and 150 µg/m3 for PM10) set by Environmental Protection Agency Pakistan (Pak-EPA) in all the educational institutes, hospitals, recreational areas and industries investigated. Furthermore, significant (p<0.05) variation was found in the concentration of both PM2.5 and PM10 in all the educational institutes, hospitals, recreational areas, and industries studied. The concentration of PM2.5 was positively correlated with the concentration of PM10 in all the sampling sites. Therefore, from 1-14 scale standard of health index, the values of PM2.5 and PM10 exhibited that the ambient air quality of Haripur city Pakistan is under high risk. If the regulatory authorities such as Environmental Protection Agency, Health Department and Local Government monitor PM pollution in different settings of Haripur city, then a decrease can be possible in the pollution level. The remedies that can be taken to overcome the problem of ambient air pollution such as PM are plantation of trees at the sites where there are higher levels of air pollutants and use of masks on personal protection basis along with implementation of pollution control system in industries of Hattar Industrial Estate Haripur city, Pakistan.
O material particulado (MP) é um importante poluente do ar que causa sérios problemas de saúde. O objetivo do presente estudo foi descobrir a concentração de MP no ar ambiente e sua associação com o risco à saúde na cidade de Haripur, Paquistão. Vinte e três amostras foram coletadas em várias instituições de ensino, hospitais, áreas recreativas e indústrias na cidade de Haripur. A concentração de MP2,5 (µg/m3) e MP10 (µg/m3) foi medida por meio do contador de MP portátil Youngteng YT-HPC 3000A. Os resultados revelaram que os valores de MP2,5 e MP10 estavam acima dos limites permitidos (35 µg/m3 para MP2,5 e 150 µg/m3 para MP10) estabelecidos pela Agência de Proteção Ambiental do Paquistão (Pak-EPA) em todas as instituições de ensino, hospitais, áreas recreativas e indústrias investigadas. Além disso, foi encontrada variação significativa (p < 0,05) na concentração de MP2,5 e MP10 em todos os locais estudados. A concentração de MP2,5 correlacionou-se positivamente com a concentração de MP10 em todos os locais de amostragem. Portanto, a partir da escala padrão 1-14 do índice de saúde, os valores de MP2,5 e MP10 mostraram que a qualidade do ar ambiente na cidade de Haripur, Paquistão, está sob alto risco. Se as autoridades reguladoras, como a Pak-EPA, o Departamento de Saúde e o governo local, monitorarem a poluição por MP em diferentes configurações da cidade de Haripur, pode ser que haja uma diminuição no nível de poluição. As medidas que podem ser tomadas para superar o problema da poluição do ar ambiente, como o MP, são o plantio de árvores nos locais onde há maiores níveis de poluentes atmosféricos, o uso de máscaras e a implantação de sistema de controle de poluição nas propriedades industriais de Hattar, na cidade Haripur, Paquistão.
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Risco à Saúde Humana , Poluentes Atmosféricos , Poluição do Ar , Material Particulado , PaquistãoRESUMO
Background Air quality health index (AQHI) is derived from exposure-response coefficients calculated from air pollution and morbidity/mortality time series, which helps to understand the overall short-term health impacts of air pollution. Objective To study the effects of common air pollutants on respiratory diseases in Urumqi and to develop an AQHI for the risk of respiratory diseases in the city. Methods The daily outpatient volume data of respiratory diseases from The First Affiliated Hospital of Xinjiang Medical University, meteorological data (daily mean temperature and daily mean relative humidity), and air pollutants [fine particulate matter (PM2.5), inhalable particulate matter (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon dioxide (CO), and ozone (O3)] in Urumqi City, Xinjiang, China were collected from January 1, 2017 to December 31, 2021. A distributed lag nonlinear model based on quasi-Poisson distribution was constructed by time-stratified case crossover design. Adopting zero concentration of air pollutants as reference, the exposure-response coefficient (β value) was used to quantify the impact of included air pollutants on the risk of seeking medical treatment for respiratory diseases, and the AQHI was established. The association of between AQHI and the incidence of respiratory diseases and between air quality index (AQI) and the incidence of respiratory diseases was compared to evaluate the prediction effect of AQHI. Results Each 10 µg·m−3 increase in PM10, SO2, NO2, and O3 concentrations presented the highest excess risk of seeking outpatient services at 3 d cumulative lag (Lag03) and 2d cumulative lag (Lag02), with increased risks of morbidity of 0.687% (95%CI: 0.101%, 1.276%), 17.609% (95%CI: 3.253%, 33.961%), 13.344% (95%CI: 8.619%, 18.275%), and 4.921% (95%CI: 1.401%, 8.502%), respectively. There was no statistically significant PM2.5 or CO lag effect. An AQHI was constructed based on a model containing PM10, SO2, NO2, and O3, and the results showed that the excess risk of respiratory disease consultation for the whole population, different genders, ages, or seasons for each inter-quartile range increase in the AQHI was higher than the corresponding value of AQI. Conclusion PM10, SO2, NO2, and O3 impact the number of outpatient visits for respiratory diseases in Urumqi, and the constructed AQHI for the risk of respiratory diseases in Urumqi outperforms the AQI in predicting the effect of air pollution on respiratory health.
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Objective@#To examine the impact of heat waves and cold spells on the incidence of hemorrhagic stroke, so as to provide insights into prevention of hemorrhagic stroke.@*Methods@#Data pertaining to the incidence of hemorrhagic stroke in Zibo City from 2015 to 2019 were collected from Shandong Provincial Management Information System for Chronic Diseases and Cause of Death Surveillance, and the meteorological data during the period from 2015 to 2019 were captured from National Meteorological Information Center of China. The air quality index (AQI) was collected from the National Daily Report of Urban Air Quality in China. Heat wave was defined as the highest daily temperature that was no less than the 90th percentile (P90), P92.5, P95 and P97.5 of the highest daily temperature in the warm season for at least 2, 3 or 4 days, and cold spell was defined as the lowest daily temperature that was no more than the P10, P7.5, P5 and P2.5 of the lowest daily temperature in the cold season for at least 2, 3 or 4 days. The effect of heat waves and cold spells on the incidence of hemorrhagic stroke was evaluated using a generalized additive model and described with relative risk (RR) and its 95%CI.@*Results@#A total of 8 844 case with first-onset hemorrhagic stroke were recorded in Zibo City from 2015 to 2019. The lowest daily temperature that was no more than P10, P7.5 or P5 of the lowest daily temperature in the cold season for at least two days, or that was no more than P10 or P7.5 of the lowest daily temperature for at least 3 days resulted a remarkably increased risk of hemorrhagic stroke (lowest RR=1.187, 95%CI: 1.031-1.366; highest RR=1.242, 95%CI: 1.042-1.480), and after adjusting the effect of daily mean temperature, the lowest daily temperature that was no more than P10 or P7.5 of the lowest daily temperature in the cold season for at least two days, or that was no more than P10 of the lowest daily temperature for at least 3 days resulted a remarkably increased risk of hemorrhagic stroke (lowest RR=1.236, 95%CI: 1.009-1.513; highest RR=1.274, 95%CI: 1.023-1.585). However, there was no significant association between heat waves and the risk of hemorrhagic stroke.@*Conclusion@#Cold spells may increase the risk of hemorrhagic stroke, while no significant association is examined between heat waves and the risk of hemorrhagic stroke.
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Background Few studies have investigated the association between air pollution and arterial stiffness in Chinese population, and the findings are inconsistent. The problem of multicollinearity exists when modeling multiple air pollutants simultaneously. Objective To investigate potential association between air quality index (AQI) and population brachial-ankle pulse wave velocity (baPWV) in Beijing. Methods This study retrieved medical examination data of 2971 participants from the Beijing Health Management Cohort, who were under 60 years old and not yet retired, from January 1, 2015 to December 31, 2019. The most recent medical examination data available were utilized for this analysis. AQI data from 35 air pollution monitoring sites in Beijing and meteorological data (including atmospheric pressure, air temperature, wind speed, and relative humidity) from 16 meteorological monitoring stations from January 1, 2014 to December 31, 2019 were collected. An average AQI exposure level for 365 d before the date of physical examination for each participant was computed using inverse distance weighting. Multiple linear regression analysis was employed to investigate the relationship between AQI and baPWV in Beijing, after adjusting for confounding variables including age, gender, body mass index, mean arterial pressure, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides, fasting blood glucose, atmospheric pressure, temperature, wind speed, relative humidity, medication history of diabetes, medication history of hypertension, cardiovascular disease, education, smoking status, drinking status, and physical activity intensity. Subgroup analysis was performed by age, sex, presence of diabetes, and presence of hypertension. Results AQI demonstrated an overall decreasing trend during the study period and was lower in the northern regions and higher in the southern regions of Beijing. After adjusting the confounding variables, each 10 unit increase in AQI was associated with 6.18 (95%CI: 1.25, 11.10) cm·s−1 increase in baPWV in all participants, 8.05 (95%CI: 2.32, 13.79) cm·s−1 increase in the participants <50 years, 15.82 (95%CI: 8.33, 23.31) cm·s−1 increase in the female group, 10.10 (95%CI: 4.66, 15.55) cm·s−1 increase in the participants without diabetes, and 9.41 (95%CI: 4.21, 14.62) cm·s−1 increase in the participants without hypertension. However, there was no statistically significant association observed between AQI and baPWV in the age group ≥50 years, the male group, the diabetic group, and the hypertensive group (P>0.05). Conclusion An increase in long-term AQI levels is associated with an elevation in the degree of arterial stiffness. Individuals under 50 years old, females, without hypertension or diabetes are susceptible populations to arterial stiffness when being exposed to air pollution. Improving air quality may contribute to prevent arterial stiffness.
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Introduction: The basic requirements for human survival include air, food, and water; a decrease in quality of which has a deep impact on health. An increase in population with increasing globalization, industrialization, and increased energy demand has led to increased air pollution in cities world over. Multiple national programs to improve air quality have been unsuccessful. Coronavirus disease 2019 (COVID-19) pandemic-led lockdown is a large-scale experiment that is unprecedented and could not have been done at regular times. Indirect effects include cutting down emissions from industries, vehicles, and diesel generators. Materials and methods: In this ambispective observational study, we compared the air quality index (AQI) and levels of other pollutants in the two cities of Delhi and Kanpur during the period of the lockdown, the same period during the preceding year, and during the rainy season. Results: It was observed that the cities of India with notoriously polluted air, i.e., Delhi and Kanpur, had unprecedented improvement in air quality during lockdown (Delhi, AQI: 86.91 � 32.38 vs 249.36 � 60.25 and Kanpur, AQI: 81.60 � 38.54 vs 137.06 � 46.74). The improvement was even better than the preceding year's monsoon for Delhi. The AQI was comparable in both cities during the lockdown. Conclusion: The AQI was falling in the 搒atisfactory� range in both Delhi and Kanpur during the lockdown. This may, in turn, favorably unfold a reduction in the incidence, progression, and exacerbation of respiratory illnesses. This is an eye-opening change and calls for urgent action to maintain the same. Timely and well-framed steps should be sought; a revolutionary carbon-free and green energy economic model is much needed. Most air pollution is preventable and can be managed by humans if a stringent action plan is rolled out and implemented sternly by government agencies.
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This paper presents potential impact on health of emission from landfill site on Uyo village road, Uyo local government area of Akwa Ibom State, Nigeria. Three sampling points were assessed for particulate matter (PM2.5 and PM10), nitrogen dioxide (NO2), sulphur dioxide (SO2), carbon monoxide (CO), hydrogen sulphide H2S, ammonia (NH3), total volatile organic carbon (TVOC) and hydrogen cyanide (HCN) using highly sensitive digital portable meters. The data obtained were expressed in terms of an air quality index. Air quality index indicates that the ambient air can be described as unhealthy for sensitive groups for NO2, unhealthy for SO2 and PM2.5 and moderate for CO, respectively. H2S, NH3, TVOC, HCN, PM10 were not indicated in USEPA air quality standards. It recommended that stringent and proper landfill emissions management together with appropriate burning of wastes should be considered in the study area to ease the risks associated with these pollutants on public health.
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Objective@#To measure the nasal mucociliary clearance (NMC) time among adults residing in two Philippine communities with different air quality indices using the saccharin and methylene blue test. @*Methods@#Design: Cross-Sectional Study. Setting: Diliman, Quezon City and Puerto Princesa, Palawan. Participantss: Fifty (50) participants, 25 residing in an urban city with fair air quality index and 25 residing in a rural province with good air quality index. @*Results@#The mean NMC time of the urban group was 22.15±12.68 mins and was significantly longer than the NMC time of the rural group which was 5.29±2.87mins; t(48) = 6.643, p<0.0001). @*Conclusion@#Increased air pollution may be associated with significant prolongation of nasal mucociliary clearance time among urban residents with fair quality air index compared to rural residents with good quality air index.
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Poluição do Ar , Azul de Metileno , Depuração Mucociliar , Poluição AmbientalRESUMO
Objective To analyze the effect of air quality index (AQI) on the incidence of tuberculosis (TB) in Beijing,and to provide evidence for setting up a better program regarding prevention and control of tuberculosis.Methods Generalized additive model (GAM) was used to analyze the association between AQI and the incidence of tuberculosis in Beijing,from January 1,2014 to November 9,2016.Confounding factors as meteorological conditions and time trends were under control.Results In Beijing,a total of 14 533 TB cases with definite dates of onset were collected during the study period,with 36 children excluded from the study.Finally,14 497 cases were included in the study,including 9 513 men and 4 984 women,with 11 290 adults (15-59 years old) and 3 207 elderly (≥60 years old).Data from the optimal single-day lag effect of GAM showed that,with every 1 0 increase of AQI,the percent of increase on the onsets of overall,male,female and adult;tuberculosis cases were 0.85％ (95％CI:0.26％-1.44％),0.83％ (95％CI:0.24％-1.42％),0.93％ (95％CI:0.24％-1.62％) and 0.88％ (95％CI:0.29％-1.46％),respectively.The optimal lag time of the single-day effects were 15 days (lagl5),but 16 days (lag16) for male.The optimal cumulative lag effect showed that with every 10 AQI increase,the percent of increase on the onsets of overall,male,female and adult tuberculosis cases were 1.92％ (95％CI:0.23％-3.16％),1.94％ (95％CI:0.15％-3.72％),2.04％ (95％CI:0.10％-3.97％) and 2.00％ (95％CI:0.30％-3.69％),respectively,with the optimal lag time of cumulative delayed effects as 17 days (lag0_17),18 days (lag0_18),16 days (lag0_16) and 17 days (lag0_17),respectively.However,there were no statistical significances noticed in the elderly cases.Conclusion There was a positive correlation between AQI and the number of TB cases in Beijing,and the effects of AQI on the number of TB cases in different genders and age groups were different.
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Objective To analyze the effect of air quality index (AQI) on the incidence of tuberculosis (TB) in Beijing,and to provide evidence for setting up a better program regarding prevention and control of tuberculosis.Methods Generalized additive model (GAM) was used to analyze the association between AQI and the incidence of tuberculosis in Beijing,from January 1,2014 to November 9,2016.Confounding factors as meteorological conditions and time trends were under control.Results In Beijing,a total of 14 533 TB cases with definite dates of onset were collected during the study period,with 36 children excluded from the study.Finally,14 497 cases were included in the study,including 9 513 men and 4 984 women,with 11 290 adults (15-59 years old) and 3 207 elderly (≥60 years old).Data from the optimal single-day lag effect of GAM showed that,with every 1 0 increase of AQI,the percent of increase on the onsets of overall,male,female and adult;tuberculosis cases were 0.85％ (95％CI:0.26％-1.44％),0.83％ (95％CI:0.24％-1.42％),0.93％ (95％CI:0.24％-1.62％) and 0.88％ (95％CI:0.29％-1.46％),respectively.The optimal lag time of the single-day effects were 15 days (lagl5),but 16 days (lag16) for male.The optimal cumulative lag effect showed that with every 10 AQI increase,the percent of increase on the onsets of overall,male,female and adult tuberculosis cases were 1.92％ (95％CI:0.23％-3.16％),1.94％ (95％CI:0.15％-3.72％),2.04％ (95％CI:0.10％-3.97％) and 2.00％ (95％CI:0.30％-3.69％),respectively,with the optimal lag time of cumulative delayed effects as 17 days (lag0_17),18 days (lag0_18),16 days (lag0_16) and 17 days (lag0_17),respectively.However,there were no statistical significances noticed in the elderly cases.Conclusion There was a positive correlation between AQI and the number of TB cases in Beijing,and the effects of AQI on the number of TB cases in different genders and age groups were different.
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Studies on the trend of air pollution in Tehran, Iran, as one of the most polluted metropolis in the world are scant, and today Tehran is known for its high levels of air pollutants. In this study, the trend of air pollution concentration was evaluated over the past 10 years (2004-2015). The data were collected from 22 stations of the Air Quality Control Company. Daily concentrations of CO, NO₂, SO₂, O₃, PM₁₀ were analyzed using SPSS 16 based on the statistical method, repeated measures, and intra-group test to determine the pattern of each pollutant changes. As a result of the 22 air pollution monitoring stations, NO₂ and SO₂ concentrations have been increasing over the period of 10 years. The highest anomaly is related to SO₂. The CO concentrations represent a descending pattern over the period, although there was a slight increase in 2013 and 2014. The O₃ concentrations declined in the following years. The average concentration of PM₁₀ has been rising during the period. Also we evaluated changes of each pollutant in different months and calculated the number of clean, healthy, unhealthy days for sensitive, unhealthy, very unhealthy, and dangerous groups. The study findings illustrated the necessity for larger investment in air pollution abatement. Overall, trends have been progressed to worsening, the number of healthy days has been declined and the number of unhealthy days has been increased in recent years.
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Poluentes Atmosféricos , Poluição do Ar , Investimentos em Saúde , Irã (Geográfico) , Métodos , Controle de QualidadeRESUMO
Studies on the trend of air pollution in Tehran, Iran, as one of the most polluted metropolis in the world are scant, and today Tehran is known for its high levels of air pollutants. In this study, the trend of air pollution concentration was evaluated over the past 10 years (2004-2015). The data were collected from 22 stations of the Air Quality Control Company. Daily concentrations of CO, NO₂, SO₂, O₃, PM₁₀ were analyzed using SPSS 16 based on the statistical method, repeated measures, and intra-group test to determine the pattern of each pollutant changes. As a result of the 22 air pollution monitoring stations, NO₂ and SO₂ concentrations have been increasing over the period of 10 years. The highest anomaly is related to SO₂. The CO concentrations represent a descending pattern over the period, although there was a slight increase in 2013 and 2014. The O₃ concentrations declined in the following years. The average concentration of PM₁₀ has been rising during the period. Also we evaluated changes of each pollutant in different months and calculated the number of clean, healthy, unhealthy days for sensitive, unhealthy, very unhealthy, and dangerous groups. The study findings illustrated the necessity for larger investment in air pollution abatement. Overall, trends have been progressed to worsening, the number of healthy days has been declined and the number of unhealthy days has been increased in recent years.
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Poluentes Atmosféricos , Poluição do Ar , Investimentos em Saúde , Irã (Geográfico) , Métodos , Controle de QualidadeRESUMO
Objective To study the distribution characteristics of radon progeny at different air quality index (AQI) and evaluate health risks for the exposed population.Methods EQF3120 Monitor was used to monitor the concentration of radon and its daughters.The relevant air quality data was provided by the environmental monitoring station at Suzhou Industrial Park.SPSS 16.0 software was used for statistical description,principal component analysis and simple correlation analysis.Environmental radon exposure-caused effective dose to lung region was estimated by using the radon dose formulas.Results Radon progeny in fog haze weather in winter of Suzhou Industrial Park had relationships with NO2,SO2,O3,PM10 and PM2.5.The correlation coefficient of 214Bi were 0.741,0.681,-0.431,0.597 and 0.675.The correlation coefficient of radon progeny with PM2.5 was greater than that with PM10.When AQI ＞ 200,the effective dose to residents outdoor from radon and its short-lived progeny was 0.63 mSv/a.Conclusions Higher AQI results in higher concentration of attached radon progeny.There is little variation in concentration of unattached radon progeny.Fog and haze can increase exposure of the population to inhalated radon.
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The present study deals with the quantitative effect of vehicular emission on ambient air quality during May, 2006 in urban area of Lucknow city. In this study, SPM, RSPM, SO2, NOx and 7 trace metals associated with RSPM were estimated at 10 representative locations in urban area and one village area for control. Beside this, air quality index (AQI), health effects of different metals and mortality were assessed. The 24 hr average concentration of SPM, RSPM, SO2 and NOx was found to be 382.3, 171.5, 24.3 and 33.8 μg m-3 respectively in urban area and these concentrations were found to be significantly (p<0.01) higher by 94.8, 134.8, 107.4 and 129.6% than control site respectively. The 24 hr mean of SPM and RSPM at each location of urban area were found to be higher than prescribed limit of National Ambient Air Quality Standard (NAAQS) except SPM for industrial area. The 24 hr mean concentration of metals associated with RSPM was found to be higher than the control site by 52.3, 271.8, 408.9, 75.81, 62.7, 487.54 and 189.5 % for Fe, Cu, Pb, Zn, Ni, Mn and Cr respectively. The inter correlation of metals Pb with Mn, Fe and Cr; Zn with Ni and Cr; Ni with Cr; Mn with Fe and Cu with Cr showed significant positive relation either at p<0.05 or p<0.01 level. Metals Pb, Mn and Cr (p<0.01) and Cu (p<0.05) showed significant positive correlation with RSPM. These results indicate that ambient air quality in the urban area is affected adversely due to emission and accumulation of SPM, RSPM, SO 2 , NO x and trace metals. These pollutants may pose detrimental effect on human health, as exposure of these are associated with cardiovascular and respiratory diseases, neurological impairments, increased risk of preterm birth and even mortality and morbidity.