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Machine Learning-Based Predictive Analysis to Abet Climatic Change Preparedness

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Cyber Security and Digital Forensics

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 73))

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Abstract

Global warming and the corresponding climatic changes have affected the world adversely. Climatic changes encompass the soaring temperatures, extremity in weather phenomenon, disrupting habitats, rising water levels in seas, and plenty of other impacts. As these changes emerge, the humans attempt to reduce the carbon emissions. This research paper aims to study the changing temperatures as a result of the industrial activities and greenhouse effect over the last 5 decades. The analysis utilizes data analytic tools to analyze the percentage at which the decades are affected as we moved into technologically advanced era. After studying the effects, the research paper also aims to predict the changes in the mean temperatures for the next decade using the time series prediction model with the help of machine learning algorithms. The dataset includes monthly temperatures for about 150 countries for a period of 58 Years, and machine learning algorithms aim to predict the rise and fall of temperatures for the next decade successfully.

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Author notes

  1. Md. Afshar Alam

    Present address: Jamia Hamdard, New Delhi, India

Authors and Affiliations

  1. Jamia Hamdard, New Delhi, India

    Abra Shafiq Siddiqi & Sherin Zafar

  2. GD Goenka University, Sohna, Haryana, India

    Deepa Mehta

Authors
  1. Abra Shafiq Siddiqi
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  2. Md. Afshar Alam
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  3. Deepa Mehta
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  4. Sherin Zafar
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Corresponding author

Correspondence to Sherin Zafar .

Editor information

Editors and Affiliations

  1. The NorthCap University, Gurugram, India

    Kavita Khanna

  2. Departamento of Telecommunications (TET), Universidade Federal Fluminese, Duque de Caxias, Rio de Janeiro, Brazil

    Vania Vieira Estrela

  3. Av. Ministro Petrônio Portela, Universidade Federal Do Piauí, Teresina, Piauí, Brazil

    Joel José Puga Coelho Rodrigues

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Siddiqi, A.S., Alam, M.A., Mehta, D., Zafar, S. (2022). Machine Learning-Based Predictive Analysis to Abet Climatic Change Preparedness. In: Khanna, K., Estrela, V.V., Rodrigues, J.J.P.C. (eds) Cyber Security and Digital Forensics . Lecture Notes on Data Engineering and Communications Technologies, vol 73. Springer, Singapore. https://doi.org/10.1007/978-981-16-3961-6_44

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  • DOI: https://doi.org/10.1007/978-981-16-3961-6_44

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-3960-9

  • Online ISBN: 978-981-16-3961-6

  • eBook Packages: EngineeringEngineering (R0)

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