Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence

Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence

1st Edition - November 11, 2022

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  • Editors: Arun Srivastav, Ashutosh Dubey, Abhishek Kumar, Sushil Kumar Narang, Moonis Ali Khan
  • Paperback ISBN: 9780323997140

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Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence covers computer-aided artificial intelligence and machine learning technologies as related to the impacts of climate change and its potential to prevent/remediate the effects. As such, different types of algorithms, mathematical relations and software models may help us to understand our current reality, predict future weather events and create new products and services to minimize human impact, chances of improving and saving lives and creating a healthier world. This book covers different types of tools for the prediction of climate change and alternative systems which can reduce the levels of threats observed by climate change scientists. Moreover, the book will help to achieve at least one of 17 sustainable development goals i.e., climate action.

Key Features

  • Includes case studies on the application of AI and machine learning for monitoring climate change effects and management
  • Features applications of software and algorithms for modeling and forecasting climate change
  • Shows how real-time monitoring of specific factors (temperature, level of greenhouse gases, rain fall patterns, etc.) are responsible for climate change and possible mitigation efforts to achieve environmental sustainability


Graduate students, research scholars and professionals working in the similar disciplines of climate science, environmental science, geological science, computer science etc. Researchers working in government agencies, industry, and NGOs

Table of Contents

  • 1. Climate uncertainties and biodiversity: An overview
    Rohit Kamboj
    2. Historical perspectives on climate change and its negative impacts on the nature
    Shama E. Haque
    3. Impact of climate change on water quality and its assessment
    Sunita Verma
    4. Climate change impacts on water resources and adaptation strategies
    Sukanya raghavan
    5. Impact of Plastics in the Socio-economic disaster of Climate Change: The Roadblocks of Sustainability
    Arnab Banerjee
    6. Impression of Climatic Variation on Flora, Fauna and Human Being: A present State of Art
    Dipankar Ghosh
    7. Impact of air quality as a component of climate change on biodiversity-based ecosystem services
    Sylvester Chibueze Izah
    8. Role of Climate Change in disasters occurrences: Forecasting and Management options
    Alok Pratap Singh
    9. Forecasting and management of disasters triggered by climate change
    Fatemeh Rajabi
    10. El-Niño Southern Oscillation and its Effects
    Sayantika Mukherjee
    11. Impact of socio-economic parameters on adoption of climate resilient technology under varying vulnerability conditions: Evidences from Himalayan Region
    Pardeep Singh
    12. Modelling and forecasting of climate change effects using artificial intelligence techniques
    Rajib Maity
    13. The role of artificial intelligence strategies to mitigate abiotic stress and climate change in crop production
    Richa Saxena
    14. Application of Artificial Intelligence in Environmental Sustainability and Climate Change
    Neeta Kumari
    15. Machine learning approaches for climate change impact assessment in agriculture production
    Swati Singh
    16. Benchmarking of traditional and advanced machine Learning modelling techniques for prediction of solarradiation
    Dwijendra Nath Dwivedi
    17. Concept of climate smart villages using artificial intelligence/machine learning
    Purnima Mehta
    18. Significance of AI to develop mitigation strategies against climate change in accordance with sustainable development goal (climate action)
    Vijaya Ilango
    19. A cross-sectional study about the impacts of climate change on the flora, fauna and human society of Odisha, India
    Manojit Bhattacharya
    20. Development of mitigation strategies for the climate change using artificial intelligence to attain sustainability
    Kartikey Sahil
    21. Role of artificial intelligence in environmental sustainability.
    Mohamed Habila

Product details

  • No. of pages: 498
  • Language: English
  • Copyright: © Elsevier 2022
  • Published: November 11, 2022
  • Imprint: Elsevier
  • Paperback ISBN: 9780323997140

About the Editors

Arun Srivastav

Dr Arun Lal Srivastav is working as Assistant Professor at Chitkara University, Himachal Pradesh (India). He obtained his Ph.D. from the Indian Institute of Technology (BHU), Varanasi in 2013 followed by Post-Doctoral Research at National Chung Hsing University, Taiwan in 2014. He is currently involved in the teaching of Environmental Science, Environmental Engineering and Disaster Management to the undergraduate engineering students. His research interests include water treatment, river ecosystem, climate change, soil health maintenance, phytoremediation, and waste management. He has published 50 research papers in various prestigious Journals of the Elsevier, Springer, IWA, Taylor and Francis, Wiley, Hindawi, MDPI, Indian Chemical Society along with in prestigious conferences and books. He has also filed 12 patents.

Affiliations and Expertise

Assistant Professor, Chitkara University School of Engineering and Technology, Chitkara University, Solan, Himachal Pradesh, India

Ashutosh Dubey

Dr. Ashutosh Kumar Dubey received his PhD degree in Computer Science and Engineering from JK Lakshmipat University, Jaipur, Rajasthan, India. He is currently in the department of Computer Science and Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India. He is also the Senior Member of IEEE and ACM. He has more than 14 years of teaching experience. He has authored a book name Database Management Concepts. He has been associated with many international and national conferences as the Technical Program Committee member. He is also associated as the Editor/Editorial Board Member/ Reviewer of many peer-reviewed journals. His research areas are Data Mining, Health Informatics, Optimization, Machine Learning, Cloud Computing, Artificial Intelligence and Object-Oriented Programming.

Affiliations and Expertise

Department of Computer Science and Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India

Abhishek Kumar

Dr. Abhishek Kumar is doctorate in computer science from University of Madras and research is going on face recognition using IOT concept and done M.Tech in Computer Science & Engineering from Government engineering college Ajmer, Rajasthan Technical University, Kota India. He has total Academic teaching experience of more than 8 years with more than 50 publications in reputed, peer reviewed National and International Journals, books & Conferences. His research area includes Artificial intelligence, Image processing, Computer Vision, Data Mining and Machine Learning. He has been in International Conference Committee of many International conferences. He has been the reviewer/editor of various peer-reviewed journals.

Affiliations and Expertise

M.Tech in Computer Science and Engineering from Government engineering college Ajmer, Rajasthan Technical University, Kota, India

Sushil Kumar Narang

Sushil Kumar Narang is Dean and an Associate Professor in the Department of Computer Science & Engineering at Chitkara University, Rajpura, Punjab (India) since 2019. From 2006-2019, He was head of IT department at SAS Institute of IT & Research, Mohali, Punjab (India). From 1996-2006, He was Assistant Professor at Department of Computer Science & Applications, MLN College, Yamuna agar, Haryana (India).He has completed his Ph.D. at Panjab University, Chandigarh (India). His Research on “Feature Extraction and Neural Network Classifiers for Optical Character Recognition for Good quality hand written GurmukhiandDevnagariCharacters” focused on various image processing, machine as well as deep learning algorithms. His research interests lie in the area of programming languages, ranging from theory to design to implementation, Image Processing, Data Analytics and Machine Learning. He has collaborated actively with researchers in several other disciplines of computer science; particularly Machine Learning on real world use cases.He is a certified Deep Learning Engineer from Edureka. ​He possesses expertise in Object-Oriented Analysis & Design and Development using Java and Python programming using OpenCV in Image Processing and Neural Network construction. ​He has strong knowledge of C++ and Java with experience in component architecture of product interface. With Solid training and management skills, He has demonstrated proficiency in leading and mentoring individuals to maximize levels of productivity, while forming cohesive team environments.

Affiliations and Expertise

Department of Computer Science, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India

Moonis Ali Khan

Moonis Ali Khan received his doctoral degree (Ph.D.) in Applied Chemistry from Aligarh Muslim University, Aligarh, India, in 2009. From 2009 to 2011, he worked as a Post-Doctoral Researcher at Yonsei University, South Korea and Universiti Putra Malaysia, Malaysia. In 2011, he joined the Chemistry Department at the King Saud University (KSU), Saudi Arabia as an Assistant Professor. Currently, he is working as an Associate Professor at KSU. He is an interfacial chemist and his research is focused on the synthesis and development of novel materials for environmental remediation applications. To date, he has guided two doctoral students for their respective degrees. He has published more than hundred (research and review) articles and has two U.S. patents to his credit.

Affiliations and Expertise

Associate Professor, College of Science, King Saud University, Riyadh, Saudi Arabia

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