Rapid Estimation of Annual Average Concentration Around a Single Source

1978 ◽  
pp. 151-154
Author(s):  
D. Badellon ◽  
A. Benech
Keyword(s):  
Average Concentration ◽  
Single Source ◽  
Annual Average ◽  
Rapid Estimation ◽  
Annual Average Concentration

scholarly journals Heavy Metal Content in Water of Resko Lake (North-West Poland)

2013 ◽  
Vol 13 ◽  
pp. 279-287 ◽  
Author(s):  
Piotr Daniszewski ◽  
Ryszard Konieczny
Keyword(s):  
Surface Water ◽  
Water Samples ◽  
Metal Content ◽  
Research Work ◽  
Average Concentration ◽  
Permissible Limit ◽  
Toxic Heavy Metals ◽  
Annual Average ◽  
North West ◽  
Annual Average Concentration

The present research work deals with the quantification of toxic heavy metals in the water samples collected from Lake of Resko (North-West Poland). While the annual average concentration of Cadmium was calculated as 0.34 ppm in 2008 of the year and 0.28 ppm in 2009 of the year. The values obtained were found to be below the permissible limit of 2.0 ppm set for inland surface water. While the annual average concentration of Chromium was calculated as 1,75 ppm in 2008 of the year and 1.97 ppm in 2009 of the year. Which was very much above the permissible limit of 0.1 ppm set for inland surface water. The observed annual average concentration of Copper in the water was 0.05 ppm in 2008 of the year and 0.06 ppm in 2009 of the year, which was below the permissible limit of 3.0 ppm set for inland surface water. While the annual average concentration of Mercury was calculated as 0.03 ppm in 2008 of the year and 0.04 ppm in 2009 of the year, which was very much above the maximum limit of 0.01 ppm set for inland surface water. The annual average concentration of Nickel in the water samples was observed to be 2.07 ppm in 2008 of the year and 2.09 ppm in 2009 of the year, which is close to the limit of 3.0 ppm set for inland surface water. The annual average concentration of Pb in the water samples was observed to be 0.07 ppm in 2008 of the year and 0.05 ppm in 2009 of the year, which is above the permissible limit of 0.1 ppm set for inland surface water. The results of the present investigation indicate that the annual average concentration of Zn in water samples was 3.02 ppm in 2008 of the year and 2.74 ppm in 2009 of the year, which is above the permissible limit of 5.0 ppm set for inland surface water.

Evaluation and Management of Ambient Air Quality, with Special Reference to China

1980 ◽  
Vol 7 (3) ◽  
pp. 223-228 ◽  
Author(s):  
Yao Zhi-Qi
Keyword(s):  
Air Quality ◽  
Geometric Mean ◽  
Monitoring And Evaluation ◽  
Ambient Air ◽  
Average Concentration ◽  
Quality Indices ◽  
Ambient Air Quality ◽  
Annual Average ◽  
Hygienic Standard ◽  
Annual Average Concentration

Monitoring and evaluation of air quality in urban and industrial areas are essential for air quality management. For evaluating the composite air-quality in the concomitant presence of several pollutants in the atmosphere, many air quality indices have been developed. This paper presents two indices, the ‘composite air-quality index (I1)’ and ‘the standard-exceeding index of air pollution (I2)’ together with their respective sub-indices, for the pollutants monitored and for use in combination.The first index, I1, is based on the annual average concentration measured in a year for each pollutant; it measures the overall composite air-quality. By relating the annual average concentration (Ci) of each pollutant to its hygienic standard (Si), as many (Ci/Si) values as the number of pollutant parameters monitored are found, whereupon I1 is computed as the geometric mean of the maximum and average of all (Ci/Si) values. A greater value of I1 means worse composite air-quality. It is simpler to compute than those more sophisticated ones in the literature, and holds the unique characteristic of considering, and yet not overemphasizing as formula (3) does (Nemerow, 1974), the maximum (Ci/Si) value.

scholarly journals Analysis of the distributions of hourly NO<sub>2</sub> concentrations contributing to annual average NO<sub>2</sub> concentrations across the European monitoring network between 2000 and 2014

2017 ◽  
Author(s):  
Christopher S. Malley ◽  
Erika von Schneidemesser ◽  
Sarah Moller ◽  
Christine F. Braban ◽  
W. Kevin Hicks ◽  
...  
Keyword(s):  
Atmospheric Chemistry ◽  
Monitoring Network ◽  
Average Concentration ◽  
Monitoring Site ◽  
The European Union ◽  
Annual Average ◽  
Limit Value ◽  
Annual Average Concentration ◽  
Standard Set ◽  
Human Health Effects

Abstract. Exposure to nitrogen dioxide (NO2) is associated with negative human health effects, both for short-term peak concentrations and from long-term exposure to a wider range of NO2 concentrations. For the latter, the European Union has established an air quality limit value of 40 µg m−3 as an annual average. However, factors such as proximity and strength of local emissions, atmospheric chemistry and meteorological conditions means that there is substantial variation in the hourly NO2 concentrations contributing to an annual average concentration. The aim of this analysis was to quantify the nature of this variation at thousands of monitoring sites across Europe through the calculation of a standard set of chemical climatology statistics. Specifically, at each monitoring site that satisfied data capture criteria for inclusion in this analysis, annual NO2 concentrations, as well as the percentage contribution from each month, hour of the day, and hourly NO2 concentrations divided into 5 µg m−3 bins were calculated. Across Europe, 2010–2014 average annual NO2 concentrations (NO2AA) exceeded the annual NO2 limit value at 8 % of > 2500 monitoring sites. The application of this chemical climatology approach showed that sites with distinct monthly, hour of day, and hourly NO2 concentration bin contributions to NO2AA were not grouped in specific regions of Europe, and within relatively small geographic regions there were sites with similar NO2AA, but with differences in these contributions. Specifically, at sites with highest NO2AA, there were generally similar contributions from across the year, but there were also differences in the contribution of peak vs moderate hourly NO2 concentrations to NO2AA, and from different hours across the day. Trends between 2000 and 2014 for 259 sites indicate that, in general, the contribution to NO2AA from winter months has increased, as has the contribution from the rush-hour periods of the day, while the contribution from peak hourly NO2 concentrations has decreased. The variety of monthly, hour of day and hourly NO2 contribution bin contributions to NO2AA, across cities, countries and regions of Europe indicate that within relatively small geographic areas different interactions between emissions, atmospheric chemistry and meteorology produce variation in NO2AA and the conditions that produce it. Therefore, measures implemented to reduce NO2AA in one location may not be as effective in others. The development of strategies to reduce NO2AA for an area should consider i) the variation in monthly, hour of day and hourly NO2 concentration bin contributions to NO2AA within that area, and ii) how specific mitigation actions will affect variability in hourly NO2 concentrations.

scholarly journals Association between air pollution and COVID-19 mortality and morbidity

2021 ◽  
Author(s):  
Karolina Semczuk-Kaczmarek ◽  
Anna Rys-Czaporowska ◽  
Janusz Sierdzinski ◽  
Lukasz Dominik Kaczmarek ◽  
Filip Marcin Szymanski ◽  
...  
Keyword(s):  
Air Pollution ◽  
Respiratory Diseases ◽  
Average Concentration ◽  
Cumulative Number ◽  
Annual Average ◽  
Mortality And Morbidity ◽  
Increased Risk ◽  
Annual Average Concentration ◽  
Official Data

AbstractCoronavirus disease (COVID-19) pandemic is affecting the world unevenly. One of the highest numbers of cases were recorded in the most polluted regions worldwide. The risk factors for severe COVID-19 include diabetes, cardiovascular, and respiratory diseases. It has been known that the same disease might be worsened by chronic exposure to air pollution. The study aimed to determine whether long-term average exposure to air pollution is associated with an increased risk of COVID-19 cases and deaths in Poland. The cumulative number of COVID-19 cases and deaths for each voivodeship (the main administrative level of jurisdictions) in Poland were collected from March 4, 2020, to May 15, 2020. Based on the official data published by Chief Inspectorate of Environmental Protection voivodeship-level long-term exposure to main air pollution: PM2.5, PM10, NO2, SO2, O3 (averaged from 2013 to 2018) was established. There were statistically significant correlation between COVID-19 cases (per 100,000 population) and annual average concentration of PM2.5 (R2 = 0.367, p = 0.016), PM10 (R2 = 0.415, p = 0.009), SO2 (R2 = 0.489, p = 0.003), and O3 (R2 = 0.537, p = 0.0018). Moreover, COVID-19 deaths (per 100,000 population) were associated with annual average concentration of PM2.5 (R2 = 0.290, p = 0.038), NO2 (R2 = 0.319, p = 0.028), O3 (R2 = 0.452, p = 0.006). The long-term exposure to air pollution, especially PM2.5, PM10, SO2, NO2, O3 seems to play an essential role in COVID-19 prevalence and mortality. Long-term exposure to air pollution might increase the susceptibility to the infection, exacerbates the severity of SARS-CoV-2 infections, and worsens the patients’ prognosis. The study provides generalized and possible universal trends. Detailed analyzes of the phenomenon dedicated to a given region require taking into account data on comorbidities and socioeconomic variables as well as information about the long-term exposure to air pollution and COVID-19 cases and deaths at smaller administrative level of jurisdictions (community or at least district level).

scholarly journals Relationship between Annual Average Concentration of Ambient PM10 and Out-patients with Respiratory Disease: Thailand Case Study

2019 ◽  
pp. 57-69
Author(s):  
Thoucha Rummasak
Keyword(s):  
Relative Risk ◽  
Respiratory Disease ◽  
Prevalence Rate ◽  
Time Series Data ◽  
Correlation Coefficients ◽  
Average Concentration ◽  
Series Data ◽  
Annual Average ◽  
Attributable Proportion ◽  
Annual Average Concentration

The objectives of this research were to identify (1) correlation between annual average concentration of ambient PM10 and prevalence of out-patients with respiratory diseases; (2) the relative risk and attributable proportion of out-patients with respiratory disease due to long-term exposure to ambient PM10; and (3) the correlation between annual average concentration ofambient PM10 and the relative risk of out-patients with respiratory disease. Time-series data of annual average concentration of ambient PM10 and prevalence rate of out-patients with respiratory disease during an 11- year period (2004-2014) in the study area were obtained from the Pollution Control Department, Ministry of Natural Resources and Environment, and the Bureau of Policy and Strategy, Ministry of Public Health, respectively. To estimate the relationship, Pearson’s product moment correlations between variables were calculated and significance testing of correlation coefficients were carried out. A retrospective cohort method was used to study the annual average concentration of ambient PM10 ratio, the relative risk and the attributable proportion. No association was found between the annual average concentration of ambient PM10 and the prevalence rate of out-patients with respiratory disease; however, there was a highly significant positive relationship between the annual average concentration of ambient PM10 ratio and the relative risk of out-patients with respiratory disease (r = 0.852, df = 4, p < 0.05). The relative risk of out-patients with respiratory disease due to exposure to the annual average concentration of ambient PM10 equal to or higher than 30 μg/m3 varied within the range of 0.99 - 1.14, and the attributable proportion of out-patients with respiratory disease were about 10 % and 3 % attributed to exposure to the annual average concentration of ambient PM10 higher than 30 μg m-3 and 40 μg m-3, respectively.

scholarly journals Toxic Heavy Metals in Sediments of Mahul Creek near Mumbai, India

2014 ◽  
Vol 15 ◽  
pp. 69-78
Author(s):  
Pravin U. Singare ◽  
M.V.A. Ansari ◽  
N.N. Dixit
Keyword(s):  
Heavy Metals ◽  
Average Concentration ◽  
Economic Prosperity ◽  
Toxic Heavy Metals ◽  
Short Term ◽  
Annual Average ◽  
Industrial Growth ◽  
Annual Average Concentration ◽  
One Year

The present study was performed for the period of one year from January 2013 to December 2013 in order to understand the level of toxic heavy metals in the sediments of Mahul Creek near Mumbai. The annual average concentration of heavy metals like Cr, Zn, Cu, Ni, Pb, Cd, As and Hg was found to be 277.5, 121.7, 100.3, 63.8, 21.5, 14.6, 10.4 and 4.9 ppm respectively. It is feared that this heavy metals accumulated in the creek sediments may enter the water thereby creating threat to the biological life of an aquatic ecosystem. The results of present study indicates that the existing situation if mishandled can cause irreparable ecological harm in the long term well masked by short term economic prosperity due to extensive industrial growth

scholarly journals Heavy Metal Content in Water of Starzyc Lake (North-West Poland)

2013 ◽  
Vol 13 ◽  
pp. 269-278
Author(s):  
Piotr Daniszewski ◽  
Ryszard Konieczny
Keyword(s):  
Surface Water ◽  
Water Samples ◽  
Metal Content ◽  
Research Work ◽  
Average Concentration ◽  
Permissible Limit ◽  
Toxic Heavy Metals ◽  
Annual Average ◽  
North West ◽  
Annual Average Concentration

The present research work deals with the quantification of toxic heavy metals in the water samples collected from Lake of Starzyc (North-West Poland). While the annual average concentration of Cd was calculated as 0.30 ppm in 2008 of the year and 0.21 ppm in 2009 of the year. The values obtained were found to be below the permissible limit of 2.0 ppm set for inland surface water. While the annual average concentration of Cr was calculated as 1,73 ppm in 2008 of the year and 1.67 ppm in 2009 of the year. Which was very much above the permissible limit of 0.1 ppm set for inland surface water. The observed annual average concentration of Cu in the water was 0.03 ppm in 2008 of the year and 0.06 ppm in 2009 of the year, which was below the permissible limit of 3.0 ppm set for inland surface water. While the annual average concentration of Hg was calculated as 0.02 ppm in 2008 of the year and 0.03 ppm in 2009 of the year, which was very much above the maximum limit of 0.01 ppm set for inland surface water. The annual average concentration of Ni in the water samples was observed to be 1.80 ppm in 2008 of the year and 2.07 ppm in 2009 of the year, which is close to the limit of 3.0 ppm set for inland surface water. The annual average concentration of Pb in the water samples was observed to be 0.08 ppm in 2008 of the year and 0.07 ppm in 2009 of the year, which is above the permissible limit of 0.1 ppm set for inland surface water. The results of the present investigation indicate that the annual average concentration of Zn in water samples was 3.52 ppm in 2008 of the year and 3.18 ppm in 2009 of the year, which is above the permissible limit of 5.0 ppm set for inland surface water.

scholarly journals Toxic Heavy Metals in the Mahul Creek Water of Mumbai, India

2014 ◽  
Vol 15 ◽  
pp. 79-88
Author(s):  
Pravin U. Singare ◽  
M.V.A. Ansari ◽  
N.N. Dixit
Keyword(s):  
Heavy Metals ◽  
Natural Resources ◽  
Average Concentration ◽  
Toxic Heavy Metals ◽  
Annual Average ◽  
Creek Water ◽  
Time Period ◽  
Annual Average Concentration ◽  
Specific Discharge ◽  
One Year

The present study was performed for the period of one year from January 2013 to December 2013 in order to understand the level of toxic heavy metals in the water of Mahul Creek near Mumbai. It was observed that the annual average concentration of heavy metals like Cd, As, Hg, Cr, Pb, Cu, Ni and Zn, was found to be 0.003, 0.004, 0.0009, 0.012, 0.015, 0.019, 0.04 and 0.23 ppm respectively. The results suggest that there is a need to have such scientific monitoring for longer time period in order to understand the trend in level of these toxic heavy metals discharged in to the creek water. It is feared that the existing problem if ignored may increase the level of this heavy metals in creek water thereby creating threat to the biological life of an aquatic ecosystem. From the results of the present investigation it seems that the time has come to move towards ecosystem specific discharge standards to maintain the health and productivity of natural resources on which the majority of Indians are dependent.

scholarly journals Impact of COVID-19 on Extremely Polluted Air Quality and Trend Forecast in Seven Provinces and Three Cities of China

2021 ◽  
Vol 9 ◽  
Author(s):  
Xiaoying Pan ◽  
Yonggang Zhao ◽  
Meng Wang
Keyword(s):  
Air Quality ◽  
Air Pollutants ◽  
Average Concentration ◽  
Air Pollutant ◽  
Chinese Government ◽  
Annual Average ◽  
Epidemic Period ◽  
The World ◽  
Before And After ◽  
Annual Average Concentration

At the beginning of 2020, COVID-19 broke out. Because the virus is extremely contagious and the mortality rate after infection is extremely high, China and many countries in the world have imposed lockdowns. Air pollutants during the epidemic period have attracted the attention of many scholars. This research is to use predictive models to describe changes in extreme air pollutants. China is the first country in the world to enter the lockdown state. This study uses data from 2015-2020 to compare and predict the concentration of extreme pollutants before and after the lockdown. The results show that the lockdown of the epidemic will reduce the annual average concentration of PM2.5, and the annual average concentration of O3 will increase first and then decrease. Through analysis, it is concluded that there is a synergistic decrease trend between PM2.5 and O3. With the various blockade measures for epidemic prevention and control, the reduction of extreme air pollutant concentrations is sustainable. The assessment of China’s air quality in conjunction with the COVID-19 can provide scientific guidance for the Chinese government and other relevant departments to formulate policies.

scholarly journals Temporal and Spatial Variation of PM2.5 in Xining, Northeast of the Qinghai–Xizang (Tibet) Plateau

Atmosphere ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 953 ◽  
Author(s):  
Xiaofeng Hu ◽  
Yongzheng Yin ◽  
Lian Duan ◽  
Hong Wang ◽  
Weijun Song ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Spatial Variation ◽  
Average Concentration ◽  
Water Soluble ◽  
Salt Lakes ◽  
Urban Site ◽  
Annual Average ◽  
Annual Average Concentration ◽  
Oxidation Ratio ◽  
Pm2.5 Concentration

PM2.5 was sampled from January 2017 to May 2018 at an urban, suburban, industrial, and rural sites in Xining. The annual mean of PM2.5 was highest at the urban site and lowest at the rural site, with an average of 51.5 ± 48.9 and 26.4 ± 17.8 μg·m−3, respectively. The average PM2.5 concentration of the industrial and suburban sites was 42.8 ± 27.4 and 37.2 ± 23.7 μg·m−3, respectively. All sites except for the rural had concentrations above the ambient air quality standards of China (GB3095-2012). The highest concentration of PM2.5 at all sites was observed in winter, followed by spring, autumn, and summer. The concentration of major constituents showed statistically significant seasonal and spatial variation. The highest concentrations of organic carbon (OC), elemental carbon (EC), water-soluble organic carbon (WSOC), and water-soluble inorganic ions (WSIIs) were found at the urban site in winter. The average concentration of F− was higher than that in many studies, especially at the industrial site where the annual average concentration of F− was 1.5 ± 1.7 μg·m−3. The range of sulfur oxidation ratio (SOR) was 0.1–0.18 and nitrogen oxidation ratio (NOR) was 0.02–0.1 in Xining. The higher SO42−/NO3− indicates that coal combustion has greater impact than vehicle emissions. The results of the potential source contribution function (PSCF) suggest that air mass from middle- and large-scale transport from the western areas of Xining have contributed to the higher level of PM2.5. On the basis of the positive matrix factorization (PMF) model, it was found that aerosols from salt lakes and dust were the main sources of PM2.5 in Xining, accounting for 26.3% of aerosol total mass. During the sandstorms, the concentration of PM2.5 increased sharply, and the concentrations of Na+, Ca2+ and Mg2+ were 1.13–2.70, 1.68–4.41, and 1.15–5.12 times higher, respectively, than annual average concentration, implying that aerosols were mainly from dust and the largest saltwater lake, Qinghai Lake, and many other salt lakes in the province of Qinghai. Time-of-flight secondary ion mass spectrometry (ToF-SIMS) was utilized to study the surface components of PM2.5 and F− was found to be increasingly distributed from the surface to inside the particles. We determined that the extremely high PM2.5 concentration appears to be due to an episode of heavy pollution resulting from the combination of sandstorms and the burning of fireworks.

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