Pollution analysis using GIS
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This document proposes a project to analyze air pollution in Mumbai using GIS. A group of 3 students - Rohan Ingale, Gary Mendonca, and Amey More - will collect air sample data from 5 locations around Mumbai using sensors on a Raspberry Pi. They will develop an algorithm to analyze the data and create a web application using technologies like Python, R, and AngularJS to make the results available to users. The project aims to provide an inexpensive way to analyze pollution and make the information easily accessible. It will help students learn about data analysis, GIS, and implementing technologies to solve problems. There is potential to expand the scope to more locations and a distributed environment in the future.
Pollution analysis using GIS
- 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
- 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