Abstract

In most of the developing countries, the increasing rate of Carbon emissions is considered as a major cause of concern. India is leading in terms of CO2 emissions as compared to other countries. The vegetation cover comprises only 24.39% of the geographic area of India. Metropolitan cities in India are witnessing rapid urbanization. The primary objective of this proposal is to identify the relationship between the increase in carbon emissions and deforestation in metropolitan cities. An additional objective is to predict the amount of afforestation required for each area to cope up with the carbon emissions over the next 25-years. It can be achieved by using statistical models like ARIMA, LSTM and machine learning techniques such as Random Forest. The proposal provides suggestions on optimal places and techniques for sustainable afforestation to the concerned authorities using artificial intelligence.

Highlights

  • Carbon footprint is used to measure the amount of greenhouse gases mainly, carbon dioxide (CO2) released into the atmosphere by urban activities

  • The global ambient air quality database published by the World Health Organization (WHO) in 2018 specifies that urban areas with the highest levels of PM2.5 were situated in India

  • In AirVisual's 2018 World air quality report, it was mentioned that most polluted urban areas based on PM2.5 estimates on the planet are located in India.[4]

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Summary

INTRODUCTION

Carbon footprint is used to measure the amount of greenhouse gases mainly, carbon dioxide (CO2) released into the atmosphere by urban activities. The global ambient air quality database published by the World Health Organization (WHO) in 2018 specifies that urban areas with the highest levels of PM2.5 were situated in India. This research aims to calculate the net carbon content, calculate its relationship with forest cover. This relationship will help us to determine the requirements for the future. It elaborates various components of proposed architecture and methodologies for determining the impact of deforestation on regional carbon footprint levels. The merits and challenges of the proposed idea are discussed with the future scope of this project

RELATED WORK
PROPOSED IDEA
Dataset Collection
Data Preprocessing
Goals This study aims to achieve the following goals
Findings
FUTURE SCOPE AND CONCLUSION
Full Text
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