Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/76253
Title: Collection and analysis of air pollution data by big data techniques
Authors: Qiu, Baoshu
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2018
Abstract: Air pollution has become a major environmental problem. Modern industries have developed so fast that the pollutants generated cannot be handled by natural environment itself. Therefore, pollutants accumulate and start to affect people’s health. The main source of air pollutants are vehicles, heat engines, power plants and power stations. Speaking of monitoring these pollutants, there are plenty of monitors and sensors around Singapore. All the data captured will be managed and published on the official website of the National Environment Agency. The objective of this project is to obtain, store, and analyze these data using Python program.
URI: http://hdl.handle.net/10356/76253
Schools: School of Electrical and Electronic Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP_final.pdf
  Restricted Access
1.8 MBAdobe PDFView/Open

Page view(s)

273
Updated on May 7, 2025

Download(s) 50

34
Updated on May 7, 2025

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.