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|Title:||Data analytics of air pollution data||Authors:||Kam, Jia Hao||Keywords:||DRNTU::Engineering||Issue Date:||2018||Abstract:||Air pollution is one of the major environmental issues. It can cause adverse health effects such as cancer and cardiovascular disease. A high population density is also a contributory factor or air pollution in urbanized areas. The main air pollutants are combustion products from heat engines, power plants and further reaction products from photochemical reactions in the atmosphere. Other sources or air pollution consists of gases and suspended small solid particles called particulate matter. Road side monitoring stations as well as weather monitoring stations routinely measure the concentration of both and are published daily on the website of the National Environment Agency. However, the data is presented as raw time series data and no analytics is provided. In this project, the objective will be to first collect PSI and PM data from the National Environment Agency (NEA) website and then develop a Python program to analyze this type of data for insights into any seasonal or annual pattern in the data for Singapore city.||URI:||http://hdl.handle.net/10356/74737||Rights:||Nanyang Technological University||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Student Reports (FYP/IA/PA/PI)|
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