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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM21989

BUILDING A SOFTWARE MODEL TO CHECK THE FOOTPRINTS OF CARBON EMISSION

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM21989

Volume:

7 |

5 |

May 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

LP

Lisha Ponnamma

MNS

Manas N Saligram

PP

Prakruthi Prasad

PHA

Prerana H A

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Abstract

A model to check the footprints of carbon emission is a framework that enables the evaluation and quantification of greenhouse gas emissions resulting from human activities. This model considers different sources of carbon emissions, including energy consumption, transportation, industrial processes, and waste disposal, and uses data on these activities to estimate the amount of greenhouse gases produced. The model is utilizes to evaluate the carbon footprint of individuals, organizations, and even entire countries. The results obtained from this model can help individuals and businesses identify areas where they can reduce their carbon footprint and contribute to mitigating climate change. This model is crucial for policymakers to develop effective strategies to reduce carbon emissions, as it allows them to evaluate the effectiveness of existing policies and design new policies to reduce emissions. Overall, the model provides a comprehensive framework for measuring and monitoring carbon emissions, which is essential for building a sustainable and environmentally conscious future.

KEYWORDS

Greenhouse gases environment carbon footprint emission.

Cite This Article

Lisha Ponnamma, Manas N Saligram, Prakruthi Prasad, Prerana H A, "BUILDING A SOFTWARE MODEL TO CHECK THE FOOTPRINTS OF CARBON EMISSION," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023. https://doi.org/10.55041/IJSREM21989

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Publication Date

5/24/2023

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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