A GIS Based Approach for Finding Association between Air Pollution, Factories and Population Density in North Macedonia

2021 ◽  
Author(s):  
E. Stefanovska ◽  
A. Kralevska ◽  
A. Abazi ◽  
A. Naumoski
Keyword(s):  
Air Pollution ◽  
Population Density

scholarly journals Urbanization and greenness in HBSC survey: association with overweight and obesity in adolescents

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
V Bellisario ◽  
R Bono ◽  
G Squillacioti ◽  
M Caputo ◽  
I Gintoli ◽  
...  
Keyword(s):  
Public Health ◽  
Physical Activity ◽  
Risk Factors ◽  
Air Pollution ◽  
Population Density ◽  
Weight Status ◽  
Overweight And Obesity ◽  
Green Spaces ◽  
Children Health ◽  
Public Health Strategies

Abstract Background Childhood obesity is an important public health issue worldwide and includes different risk factors, such as environmental pollutants exposure or physical activity. Neighborhood composition and green spaces availability could contrast obesogenic lifestyles and promote healthy habits, whereas, urbanization and traffic volume exposure are inversely associated with physical activity and worsen effects on childhood health. Methods This project analyzed students involved in the HBSC survey from the Piedmont Region. Data were collected in 2018, following the protocol. All the subjects were georeferenced within buffers around schools. Green-spaces availability was measured by Normalised Difference Vegetation Index (NDVI-satellite images) while urbanization was calculated by population density, traffic intensity (satellite measurements) and air pollution concentration (sampling stations). Results Overall, the sample included 3022 subjects, with amount 50% male/female and 30% for each age group (11-13-15 years old). Concerning weight status, above 14% of the all sample is obese or overweight, with, respectively, 20% among boys and 11% among girls. Preliminary analyses showed an association between weight status and population density (rural vs urbanized areas). Currently, we are analyzing the association with greenness and the other measures of urbanization. Conclusions Our preliminary findings suggest that high urbanization levels impact health implementing weight in children. We are testing the hypothesis that greenness positively influences weight status and reduce negative effects of urbanization and air pollution. The managing of these risk factors must be deepened and corroborated by active preventive Public Health strategies for improving children health. Key messages Urbanization and greenness may influence weight status in children. Public Health strategies must be improved for children health.

The Role of Road Infrastructure and Air Pollution in the Recent Suburbanization of India’s Cities

2017 ◽  
Vol 8 (2) ◽  
pp. 151-169 ◽  
Author(s):  
Matthew J. Holian ◽  
Kala Seetharam Sridhar
Keyword(s):  
Air Pollution ◽  
Population Density ◽  
Urban Areas ◽  
Regression Models ◽  
Central City ◽  
Road Transport ◽  
Transport Infrastructure ◽  
Multiple Regression Models ◽  
Indian Cities

This article re-examines the suburbanization of Indian cities by calculating population density gradients, for a large number of urban agglomerations, using recent data and Mills’ two-point method. In the next step, we estimate multiple regression models to explore the determinants of suburbanization. This study presents several methodological advances over previous research, by incorporating new measures of transport infrastructure, air pollution and city–suburb income ratios as determinants of suburbanization of Indian cities. Our results clearly show that suburbanization is higher in urban areas with higher population and lower central city–suburban literacy ratios. We find some evidence that suburbanization is higher in urban areas with more road transport infrastructure, consistent with our expectations, though results concerning air pollution run counter to expectations. However, these could relate to caveats regarding the data and methods.

Gridded Emission Inventory of Criteria Air Pollutants for National Capital Territory, Delhi

2020 ◽  
Author(s):  
Rahul Chaurasia ◽  
Manju Mohan
Keyword(s):  
Air Pollution ◽  
Spatial Distribution ◽  
High Resolution ◽  
Power Plant ◽  
Population Density ◽  
Air Pollutants ◽  
Emission Inventory ◽  
Road Density ◽  
Criteria Air Pollutants ◽  
National Capital

<p>The megacities of the world are experiencing a punishing level of air pollution where primary sources of emissions are industrial, residential and transportation. Delhi is also no exception and had been worst performing in terms of air quality and air pollution. In this backdrop, a high-resolution emission inventory becomes an essential tool to predict and forecast pollutant concentration along with the assessment of the impact of various government policies. This study aims to prepare a high-resolution gridded emission inventory (1km*1km) of criteria air pollutants (PM10, PM2.5, NO<sub>2</sub>, SO<sub>2 </sub>and CO) for Delhi-NCT (National Capital Territory).  The bottom-up gridded emission inventory has been prepared taking account of population density, land use pattern and socio-economic status. The emission from all the primary sectors has been taken into accounts such as transport, residential burning, industries, power plants, and municipal solid waste burning.  The emissions are estimated using emission factors and activity data for each sector. The emission factor for various fuel type burning is taken from CPCB (Central Pollution Control Board) reports and previous literature. Data corresponding to various sectors such as the amount of fuel consumed, population density, road density, traffic congestion points, industrial location, unauthorized colonies, slums, and total solid waste generation has been acquired from various government bodies, reports, and literature. The result reveals that the total estimated emissions from transportation, industries and domestic sector contribute nearly 72%, 60%, 52% of NOx, SO2 and PM10 emission respectively.  The transport sector has been found as the bulk contributor towards CO and NOx emissions. Domestic sector and Power plant emission have been found to be a bulk contributor of CO and SO2. Later, the spatial distribution of the emission is done using GIS technique (Arc-GIS). For spatial distribution of emission, district-wise population data, road density data, power plant location and digitization of the road network was carried out.</p>

The Greening of Estonia

1988 ◽  
Vol 15 (4) ◽  
pp. 299-302 ◽  
Author(s):  
Arthur H. Westing
Keyword(s):  
Air Pollution ◽  
Population Density ◽  
Natural Resources ◽  
Oil Shale ◽  
Peat Bogs ◽  
Local Surface ◽  
Considerable Evidence ◽  
North East ◽  
The North ◽  
International Importance

The environment and natural resources of Estonia (area 45,000 km2, population c. 1.5 million) are described: Estonia is a flat country of which 40% is forested (managed on a sustained-yield basis), 20% is covered by peat bogs (widely cut for agricultural purposes and fuel), and 22% is under cultivation, often on drained land (largely growing grain for livestock). Rich deposits of oil-shale (used for fuel, etc.) and phosphorite (used for fertilizer, etc.) are exploited, especially in the north-east. Both of these resources are to a large extent strip-mined, causing enormous local surface disruption and more widespread water and air pollution— especially so in the case of the phosphorite extraction. Estonia has, however, recently been able to prevent a planned expansion of phosphorite exploitation.About 3% of Estonia is set aside as Nature reserves, including some wetlands of international importance. Environmental protection is an important item on Estonia's agenda; the prognosis is quite favourable, not only because of a commendable population density, but also in large part (as there is considerable evidence to suggest) because the population has a keenly-developed Nature ethic of long standing.

scholarly journals CHARACTERISTICS OF INCIDENCE RATE OF COVID-19, ACUTE RESPIRATORY DISEASES, INFLUENZA AND COMMUNITY ACQUIRED PNEUMONIA IN RUSSIA ACCORDING TO CLIMATE, GEOGRAFICAL ASPECTS AND POPULATION DENSITY

2020 ◽  
Author(s):  
Natalia Pshenichnaya ◽  
Irina Lizinfeld ◽  
Grigory Zhuravlev
Keyword(s):  
Air Pollution ◽  
Population Density ◽  
Incidence Rate ◽  
Respiratory Infections ◽  
Social Activity ◽  
Community Acquired Pneumonia ◽  
The Republic ◽  
Kaliningrad Region ◽  
The Impact ◽  
The Eu

Background: Understanding the impact of geographical aspects and population density on the incidence rate (IR) of respiratory infections in Russia is necessary for successful control under the epidemic. Aim: to estimate the increase in IR of respiratory infections in 2020 compared to the same period of 2016-2019 Materials and methods: a retrospective study of IR of COVID-19, ARI, influenza and community acquired pneumonia (CAP) in summarily (respiratory infections and COVID-19 morbidity) in the first half of 2020 in comparison with morbidity of ARI, influenza and CAP (respiratory infections morbidity) the same period of 2016-2019 in 85 regions was performed. Additionally the influence of climate on COVID-19 morbidity were estimated. Results: The highest excess of respiratory infections and COVID-19 morbidity in 2020 versus the average respiratory infections morbidity in 2016-2019 was observed in Buryatia-107.61%; Zabaykalsky Krai -134.09%; Tuva – 166.34%; the Kaliningrad region – 1023.41%; the Republic of Altai – 1212.78%; Dagestan – 2030.27%. Buryatia, Tuva, Altai and Zabaykalsky Krai are located next to the China, and also border each other. The Kaliningrad region borders on the EU countries. Dagestan has a maritime border with 3 states, including Iran, where the epidemic COVID-19 began earlier. In 43 of the 85 regions of Russia, this excess was 10-50%; in 35 subjects varied from 50% to 100%. The correlation between the incidence of COVID-19 and the population density in the regions was weak (r=0.26). The air pollution, has also a weak relationship (r=0.26) to the incidence rate. Moderate relationship was observed between the severity of negative temperatures in winter and the level of morbidity(r=-0.51). Milder climate probably contributed to the longer persistence of the virus in the environment and social activity. Conclusion: Russian regions bordering the PRC, the EU, Central Asia and the Middle East demonstrated the highest IR of influenza, ARI, CAP and COVID-19in summarility in the first part of this year versus the morbidity of influenza, ARI, CAP in average in first half of 2016-2019. IR of COVID-19 has weak correlation with population density and air pollution and moderate negative correlation with winter temperature.

scholarly journals Daily variability of air pollution in locations of different population density

2019 ◽  
Vol 100 ◽  
pp. 00011
Author(s):  
Robert Cichowicz ◽  
Artur Stelęgowski
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Population Density ◽  
Air Pollutants ◽  
Daily Maximum ◽  
Air Contaminants ◽  
Daily Variability ◽  
Air Quality Monitoring Stations ◽  
Agricultural Areas ◽  
Daily Changes

The air quality levels vary during a day, especially in inhabited areas. Therefore, it seems reasonable to observe and analyze the occurrence of daily maximum and minimum level of air pollution. In this article, data obtained from automatic air quality monitoring stations located in 5 large, 5 small and medium cities and 5 villages in Poland was analyzed in 2012−2016. Those locations vary, inter alia, depending on number of inhabitants and population density, and for this reason also due to the presence of air contaminants. As an indicator of daily variability air pollution it was determined the ratio of maximum to minimum concentrations of selected air pollutants (NO2 and NOx, and O3, SO2, CO, PM10 and PM2.5, and benzene) in urban and agricultural areas. In winter, the daily changes were bigger in cities than in villages. While in summer, the level of daily variability was similar, irrespective of size of the settlement unit. The biggest daily changes concerned nitrogen oxides, the lowest − sulfur dioxide and dusts.

scholarly journals Spaceborne Nitrogen Dioxide Observations from the Sentinel-5P TROPOMI over Turkey

Proceedings ◽  
2019 ◽  
Vol 18 (1) ◽  
pp. 4 ◽  
Author(s):  
Gordana Kaplan ◽  
Zehra Yigit Avdan ◽  
Ugur Avdan
Keyword(s):  
Air Pollution ◽  
Population Density ◽  
Nitrogen Dioxide ◽  
Air Pollutants ◽  
Fossil Fuels ◽  
Remote Sensing Data ◽  
Population Data ◽  
Mean Value ◽  
Low Earth Orbit ◽  
Industrial Facilities

With rapid population growth, both urbanization and transportation affect air pollution, population health, and global warming. A number of air pollutants are released from industrial facilities and other activities and may cause adverse effects on human health and the environment. One of the biggest air pollutants, nitrogen dioxide (NO2), is mainly caused by the combustion of fossil fuels, especially from traffic exhaust gases. Over the years, air pollution has been monitored using satellite remote sensing data. In this study, we investigate the relationship of the tropospheric NO2 retrieved from the recently launched Sentinel-5 Precursor, a low-earth-orbit atmosphere mission dedicated to monitoring air pollution equipped with the spectrometer Tropomoi (Tropospheric Monitoring Instrument), and the population density over Turkey. For this purpose, we use the mean value of the NO2 collected from July 2018 to January 2019 and the statistic population data from 2017. The results showed a significant correlation of higher than 0.72 between the population density and the maximum NO2 values. For future studies, we recommend investigating the correlation of different air pollutants with population and other factors contributing to air and environmental pollution.

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