Analysis of the pollution caused by vehicles in India.

1. Pollution Analysis Using
GIS
Proposal for B.E project
From previous batch

2. Group Members
Rohan Ingale
Gary Mendonca
Amey More

3. Abstract
In India, the number of motor vehicles has grown from 0.3 million in 1951 to approximately 50
million in 2000, of which, two wheelers (mainly driven by two stroke engines) accounts for
70% of the total vehicular population. Two wheelers, combined with cars (four wheelers,
excluding taxis) (personal mode of transportation) account for approximately four fifth of the
total vehicular population. The problem has been further compounded by steady increase in
urban population (from approximately 17% to 28% during 1951-2001; Sharma; 2001 and larger
concentration of vehicles in these urban cities specially in four major metros namely, Delhi,
Mumbai, Chennai and Kolkatta which account for more than 15% of the total vehicular
population of the whole country, whereas, more than 40 other metropolitan cities (with human
population more than 1million) accounted for 35% of the vehicular population of the country

4. Motor vehicles have been closely identified with increasing air pollution levels in urban centers of the
world. Besides substantial CO2 emissions, significant quantities of CO, HC, NOx, SPM and other air
toxins are emitted from these motor vehicles in the atmosphere, causing serious environmental and
health impacts. Like many other parts of the world, air pollution from motor vehicles is one of the
most serious and rapidly growing problem in urban centers of India. The problem of air pollution has
assumed serious proportions in some of the major metropolitan cities of India and vehicular
emissions have been identified as one of the major contributors in the deteriorating air quality in
these urban centers. Although, recently, improvement in air quality with reference to the criteria
pollutants (viz. NOx, SO2, CO and HC) have been reported for some of the cities, the air pollution
situation in most of the cities is still far from satisfactory. The problem has further been compounded
by the concentration of large number of vehicles and comparatively high motor vehicles to population
ratios in these cities
Abstract

5. Problem Statement
Pollution has become a very serious issue in our country. There are very few
pollution analysis methods which analyse the air quality and display the
analysis information according to the user requirements.
The project will be made to analyse air quality using data analysis from the
collected air samples in an efficient and effective manner.
This project aims at making data available to the user at a convenient and a cost
efficient way.

6. Objectives
To find an inexpensive way to analyse pollution readings from the air in Mumbai.
To collect the data from 5 different places around Mumbai.
To come up with an efficient algorithm to process the data.
To provide a UI application to make the information available.

7. Scope
The primary user group for this project is the common people who want to view the
analysis reports to analyse or further conduct a study on pollution in mumbai.
The area under which this project will be performed will be different regions of
Mumbai. Air samples from around 5 significant places in Mumbai will be analysed to
determine the pollution levels as well as the composition of the polluted air.

8. Requirements
1. Hardware
Raspberry pi
Gas sensors(CO2, CO, methane, temperature and humidity)
A-B cables
USB interface

9. Requirements
2. Software
Python
R
Leaflet
PHP
Angular JS

10. Timeline
Learning raspberry pi configuration, working and implementation.
Developing the algorithm for data analysis.
Collecting data from air at different places in Mumbai.
Compilation of data.
Getting the data validated.
Creating an application(web application) for the data analysis and results.

11. Learning points of students
While developing this project, the student will learn various concepts of data
analysis
The student will learn about GIS, big data analysis and data handling algorithms
and apply this for implementation of this project.
The student will learn how to implement these technologies to solve existing
problems.

12. Future scope
Implementation of this project in a distributed environment.
Big data worth 1TB or more to be collected for analysis.
Data from 10 places can be collected for analysis.
Running the application in a distributed environment using apache hadoop

13. References
http://www.pocklington-trust.org.uk/pen-labelling-for-blind-people/
Reference Book: HCI Beyond the GUI: Design for Haptic, Speech, Olfactory, and
Other Nontraditional Interfaces by Philip Kortum
Research Paper: The Tactile Graphics Helper: Providing Audio Clarification for
Tactile Graphics Using Machine Vision