PUI2016 Extra Credit Project ProposalAnalysis of Ground-level Ozone formation in Delhi, India <Avikal Somvanshi, as10724, as10724>Problem Description: Ground-level ozone is a deadly secondary pollutant, that it is not emitted directly into the air from any one source, but is created by chemical reactions between oxides of nitrogen (NOx) and volatile organic compounds (VOC) in the presence of sunlight. Analysis will estimate impact of ambient temperature and solar radiation on ground-level ozone formation while comparing relative change in concentration of NOx and Ozone in the atmosphere.Research Question: Is ground-level ozone pollution is linked to concentration of oxides of nitrogen (NOx), ambient temperature and solar radiation? Data: Hourly pollution (Particulate Matter 2.5, Ozone and Oxides of Nitrogen) and weather (temperature, wind speed, relative humidity and solar radiation) data from two Pollution Monitoring stations of the Delhi government from April 2015 to Nov 19, 2016. One station is in South Delhi, while other in West Delhi, about 10 miles apart. Mined from http://www.cpcb.gov.in/CAAQM/frmUserAvgReportCriteria.aspx Hourly data from Delhi, one of the most polluted urban air in the world, is best suited for this analysis as it gives good data resolution both in timeline and observed concentration. Analysis: The project will identify events of formation of ground-level ozone through outlier detection via thresholding and will check for patterns using the Fourier analysis. Impact of NOx concentration, ambient temperature and solar radiation will be assessed via linear regression analysis.References: Delhi Summer Ozone Data Sheet , 2014, Centre for Science and  Environment, http://www.cseindia.org/userfiles/ozone-fact-sheet-20140609.pdfZhao H, Wang S, Wang W, Liu R, Zhou B (2015) Investigation of Ground-Level Ozone and High-Pollution Episodes in a Megacity of Eastern China. PLoS ONE 10(6): e0131878. doi:10.1371/journal.pone.0131878, http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0131878Bordignon, S., Gaetan, C. & Lisi, F., Nonlinear models for ground-level ozone forecasting:  Statistical Methods & Applications (2002) 11: 227. doi:10.1007/BF02511489, http://link.springer.com/article/10.1007/BF02511489Ambient (outdoor) air quality and health factsheet, WHO, http://www.who.int/mediacentre/factsheets/fs313/en/2015 National Ambient Air Quality Standards (NAAQS) for Ozone, US EPA, https://www.epa.gov/ozone-pollution/2015-national-ambient-air-quality-standards-naaqs-ozoneOzone pollution, US EPA, https://www.epa.gov/ozone-pollutionDeliverable: The project will establish a statistical and graphical tool to predict ground-level ozone formation based on NOx and weather data. This will help city agencies to issue preventive health advisories to the people and undertake corrective action.  
Citibike  gender