Concept for Mapping Carbon footprint with Change in Vegetation Cover and Population in India

ITM Web of Conferences

关键词: carbon footprint;    deforestation;    arimax;    var;    random forest;    lstm;    k-nn imputation;    mice imputation;    time-series synchrony quantification;    machine learning;   

DOI  :  10.1051/itmconf/20203203042

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown