Factor Analysis of Air Pollutants over Hyderabad - A Case Study
4
Citation
24
Reference
10
Related Paper
Citation Trend
Abstract:
Pollution levels in Metros of India are raising to alarm levels in last decades. This issue needs to be addressed immediately because it is hazardous to people's health. The present work is focused to highlight the major air pollutants in various areas of Hyderabad using publicly available data at Kaggle.com. By consolidating more air pollutants into fewer factors, this study's key objective is to reduce the complexity of air pollution. This helps to understand the interdependency of air pollutants. Ten air pollution-causing components of five different locations including residential and industrial areas in Hyderabad were identified and analyzed using Factor Analysis. There was an attempt made to find out the contribution of various air pollutant components to air pollution using standard Karl Pearson's coefficient of correlation and factor analysis using the Varimax method. The results of the analysis showed similar air pollutant components resulting in factors depending on the nature of the location. Residential cum industrial areas, ICRISAT and ZOO park had PM2.5, PM10, NOx, CO grouped into Factor 1 as major contribution to AQI, VOCs were the second major contributors followed by NH3, SO2, O3. However, in the residential area HCU ten air pollutants resulted into only two factors; first factor being CO, SO2, O3 and VOCs as contributors generated due to residential communities and PM2.5, PM10, NOx, NH3 as factor two. Bollaram has PM2.5, PM10, CO, O3 as factor one as major pollution is contributed due to traffic and industries and Pashamylaram has NOx, SO2 and VOCs as factor one due to the presence of pharmaceutical industries in the vicinity.Keywords:
Criteria air contaminants
Varimax rotation
Air pollutant concentrations
Air pollutant concentrations
Criteria air contaminants
Air Pollution Index
Cite
Citations (21)
A growing number of epidemiological studies conducted worldwide suggest an increase in the occurrence of adverse health effects in populations living, working, or going to school near major roadways. A study was designed to assess traffic emissions impacts on air quality and particle toxicity near a heavily traveled highway. In an attempt to describe the complex mixture of pollutants and atmospheric transport mechanisms affecting pollutant dispersion in this near-highway environment, several real-time and time-integrated sampling devices measured air quality concentrations at multiple distances and heights from the road. Pollutants analyzed included U.S. Environmental Protection Agency (EPA)-regulated gases, particulate matter (coarse, fine, and ultrafine), and air toxics. Pollutant measurements were synchronized with real-time traffic and meteorological monitoring devices to provide continuous and integrated assessments of the variation of near-road air pollutant concentrations and particle toxicity with changing traffic and environmental conditions, as well as distance from the road. Measurement results demonstrated the temporal and spatial impact of traffic emissions on near-road air quality. The distribution of mobile source emitted gas and particulate pollutants under all wind and traffic conditions indicated a higher proportion of elevated concentrations near the road, suggesting elevated exposures for populations spending significant amounts of time in this microenvironment. Diurnal variations in pollutant concentrations also demonstrated the impact of traffic activity and meteorology on near-road air quality. Time-resolved measurements of multiple pollutants demonstrated that traffic emissions produced a complex mixture of criteria and air toxic pollutants in this microenvironment. These results provide a foundation for future assessments of these data to identify the relationship of traffic activity and meteorology on air quality concentrations and population exposures.
Criteria air contaminants
Air pollutant concentrations
Ultrafine particle
Cite
Citations (158)
Cite
Citations (9)
Megacity
Air pollutant concentrations
Criteria air contaminants
Cite
Citations (17)
Air pollution is dispersion of the particulates, biological molecules, or other harmful materials into the Earth’s atmosphere, possibly causing diseases. Air pollutants can be either particles, liquids or gaseous. In the recent era, air pollution has become a major environmental issue because of the enhanced anthropogenic activities such as burning fossil fuels, natural gases, coal and oil, industrial process, advanced technologies and motor vehicles. The proposed project focused on air pollution study of North Coimbatore region (11° 0’ 16.4016’’ N and 76° 57’ 41.8752’’ E), Tamilnadu, India. The area comprises of industries, residential and commercial areas, where plenty of pollution occurs due to emissions from automobiles also. The main aim of the project is to develop models using GIS for the air pollutant concentration of Coimbatore region. In order to run the model, the concentration details of PM 2.5 (Particulate mass) were collected. Prediction models have been evolved for the monitoring station to predict the concentration of pollutants (PM2.5) based on the different meteorological parameters and also vice versa. The project concludes that highly polluted places are Koundampalayam and Thudiyalur compared to all other monitoring stations.
Air pollutant concentrations
Particulate Pollution
Criteria air contaminants
Cite
Citations (4)
Criteria air contaminants
Air pollutant concentrations
Cite
Citations (9)
Pollution levels in Metros of India are raising to alarm levels in last decades. This issue needs to be addressed immediately because it is hazardous to people's health. The present work is focused to highlight the major air pollutants in various areas of Hyderabad using publicly available data at Kaggle.com. By consolidating more air pollutants into fewer factors, this study's key objective is to reduce the complexity of air pollution. This helps to understand the interdependency of air pollutants. Ten air pollution-causing components of five different locations including residential and industrial areas in Hyderabad were identified and analyzed using Factor Analysis. There was an attempt made to find out the contribution of various air pollutant components to air pollution using standard Karl Pearson's coefficient of correlation and factor analysis using the Varimax method. The results of the analysis showed similar air pollutant components resulting in factors depending on the nature of the location. Residential cum industrial areas, ICRISAT and ZOO park had PM2.5, PM10, NOx, CO grouped into Factor 1 as major contribution to AQI, VOCs were the second major contributors followed by NH3, SO2, O3. However, in the residential area HCU ten air pollutants resulted into only two factors; first factor being CO, SO2, O3 and VOCs as contributors generated due to residential communities and PM2.5, PM10, NOx, NH3 as factor two. Bollaram has PM2.5, PM10, CO, O3 as factor one as major pollution is contributed due to traffic and industries and Pashamylaram has NOx, SO2 and VOCs as factor one due to the presence of pharmaceutical industries in the vicinity.
Criteria air contaminants
Varimax rotation
Air pollutant concentrations
Cite
Citations (4)
The study aims to bring out the interdependence of the air pollutant components through Correlation and Principal Component Analysis (PCA) to identify the sources causing air pollution in Residential, Resident cum Industrial and Industrial areas of Hyderabad. For this purpose, daily data (from 1st January 2018 to 31st December 2020) of air pollutants recorded by Continuous Ambient Air Quality Monitoring Stations (CAAQMS) that includes 15 air pollution-causing components was collected from the Centre Pollution Control Board (CPCB) website. Data from Residential (Hyderabad Central University (HCU)), Residential and Industrial (ICRISAT-Patencheru), and purely Industrial (Pashmylaram) areas were analyzed and it was identified that 5 majorly contributed pollutants at HCU were due to residential activities however, 5 major pollutants at ICRISAT and Pashmylaram were due to vehicular traffic and industry emissions. The purpose of the study was to figure out the sources of air pollutants and their interdependency under different local conditions. The findings of the study may help the policymakers and authorities concerned to implement different strategies and take necessary steps to keep the pollution levels under control.
Criteria air contaminants
Cite
Citations (0)
Through observing the air quality in four city monitor station of Nanning from 5th to 12th November,2012,the concentration change of particulate pollutant,PM10 and PM2.5,and the concentration of main composition of PM2.5 were analyzed.The meteorological condition during air pollution was analyzed based on meteorological data from Guangxi Meteorological Service Center.The results showed that during the air pollution period,the concentration particulate pollutant as the major cause of the air pollution,increased significantly.OM and Sulfate are the main components of PM2.5 at that time.The meteorological factors play an important role in the air pollution.Air came from Hunan direction also played a certain role in long time air pollution.
Particulate Pollution
Air pollutant concentrations
Cite
Citations (0)
Meteorological parameters play a significant role in affecting ambient air quality of an urban environment. As Dhaka, the capital city of Bangladesh, is one of the air pollution hotspot among the megacities in the world, however the potential meteorological influences on criteria air pollutants for this megacity are remained less studied. The objectives of this research were to examine the relationships between meteorological parameters such as daily mean temperature (o C), relative humidity (%) and rainfall (mm) and, the concentration of criteria air pollutants (SO2, CO, NOx, O3, PM2.5 and PM10) from January, 2013 to December, 2017. This study also focused on the trend analysis of the air pollutants concentration over the period. Spearman correlation was applied to illustrate the relationships between air pollutants concentration and temperature, relative humidity and rainfall. Multiple linear and non-linear regressions were compared to explore potential role of meteorological parameters on air pollutants' concentrations. Trend analysis resulted that concentration of SO2 is increasing in the air of Dhaka while others are decreasing. Most of the pollutants resulted negative correlation with atmospheric temperature and relative humidity, however, they showed variable response to seasonal variation of meteorological parameters. Regression analysis resulted that both the multiple non-linear and linear model performed similar for predicting concentrations of particulate matters but for gaseous pollutants both model performances were poor. This research is expected to contribute in improving the forecast accuracy of air pollution under variable meteorological parameters considering seasonal fluctuations.
Urban Environment
Criteria air contaminants
Cite
Citations (96)