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Project report on air pollution, Study Guides, Projects, Research of Business Statistics

Project report on delhi air pollution with data analysis.

Typology: Study Guides, Projects, Research

2019/2020

Uploaded on 11/27/2020

naina-gupta
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TABLE OF CONTENTS
PAGE
ACKNOWLEDGEMENTS .............................................................................. 2
CERTIFICATE OF COMPLETION .................................................................... 3
TABLE OF CONTENTS ...................................................................................... 4
EXECUTIVE SUMMARY.………………………………………………………6
CHAPTER 1. INTRODUCTION...................................................…………….8
1.1 Problem Statement…………………….………………………………………9
1.2 Objective and Scope of the Project ……………………….………................. 10
1.3 Data Sources…………………………………………………………………. 11
1.4 Tools and Techniques………….……………………………………………...12
1.5 Limitations…………………………………………………………………… 14
CHAPTER 2. DATA DESCRIPTION AND PREPARATION............................. 14
2.1 Data Management…………….…………………………………………… 14
2.2 Data Table……………………………………………………………………. 15
2.3 Data Quality …………………………………………………………………. 16
2.4 Data Preparations……….……………………………………………………..16
CHAPTER 3. EXPLORATORY DATA ANALYSIS……………………………17
3.1 Impact of Vehicle Density & Vehicle Population ………………….……...17
3.2 Histogram & Box Plots....……………………………………………………..19
3.3 Seasonality Analysis ………………………………………………………….22
3.4 Correlation Matrix and Analysis ……………………………………………..24
CHAPTER 4. PREDICTIVE MODEL DEVELOPMENT.………………………27
4.1 Multiple Linear Regression & Neural Network Models & Results…………..27
4.2 Validation....………….……………………………………………………….33
4.3 Conclusion & Recommendations …………………………………………….34
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TABLE OF CONTENTS

  • ACKNOWLEDGEMENTS PAGE
  • CERTIFICATE OF COMPLETION
  • TABLE OF CONTENTS
  • EXECUTIVE SUMMARY.………………………………………………………
  • CHAPTER 1. INTRODUCTION...................................................……………….
  • 1.1 Problem Statement…………………….………………………………………
  • 1.2 Objective and Scope of the Project ……………………….……….................
    1. 3 Data Sources………………………………………………………………….
    1. 4 Tools and Techniques………….……………………………………………...1
    1. 5 Limitations……………………………………………………………………
  • CHAPTER 2 DATA DESCRIPTION AND PREPARATION.............................
  • 2 .1 Data Management……………….……………………………………………
  • 2 2 Data Table…………………………………………………………………….
  • 2 3 Data Quality ………………………………………………………………….
  • 2 4 Data Preparations……….……………………………………………………..
  • CHAPTER 3. EXPLORATORY DATA ANALYSIS……………………………
  • 3.1 Impact of Vehicle Density & Vehicle Population ………………….………...
  • 3.2 Histogram & Box Plots....……………………………………………………..
  • 3.3 Seasonality Analysis ………………………………………………………….
  • 3.4 Correlation Matrix and Analysis ……………………………………………..
  • CHAPTER 4 PREDICTIVE MODEL DEVELOPMENT.………………………
  • 4 .1 Multiple Linear Regression & Neural Network Models & Results…………..
  • 4 .2 Validation....………….……………………………………………………….
  • 4 .3 Conclusion & Recommendations …………………………………………….

LIST OF REFERENCES

  1. Central Pollution Control Board Website Website: www.cpcb.nic.in
  2. National Air Quality Index by CPCB
  3. Centre for Science & Environment website: www.cseindia.org
  4. The Energy and Resources Institute (TERI) website: www.teriin.org
  5. International Research Journal of Earth Sciences, Review Paper “Emissions from Crop/Biomass Residue Burning Risk to Atmospheric Quality”
  6. Atmosphere, review paper A Study on the Use of a Statistical Analysis Model to Monitor Air Pollution Status in an Air Quality Total Quantity Control District”, by Edward Ming-Yang Wu 1 and Shu-Lung Kuo 2.
  7. “Emission of Air Pollutants from Crop Residue Burning in India” by Niveta Jain, Arti Bhatia, Himanshu Pathak, Centre for Environment Science and Climate Resilient Agriculture, Indian Agricultural Research Institute, New Delhi-110012, India
  8. “Identifying pollution sources and predicting urban air quality using ensemble learning methods” by Kunwar P. Singh a,b, Shikha Gupta a,b, Premanjali Rai a,b. Atmospheric Environment Journal.