Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence

  • 11h 30m
  • Abhishek Kumar, Arun Lal Srivastav, Ashutosh Kumar Dubey, Moonis Ali Khan, Sushil Kumar Narang
  • Elsevier Science and Technology Books, Inc.
  • 2023

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.

  • 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

About the Author

Dr Arun Lal Srivastav is working as an Assistant Professor at Chitkara University, in India. 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 around 50 research papers in various peer-reviewed, national and international journals, conferences, and books. He has also filed 12 patents.

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.

In this Book

  • Contributors
  • Climate Uncertainties and Biodiversity: An Overview
  • Historical Perspectives on Climate Change and Its Influence on Nature
  • Impact of Climate Change on Water Quality and Its Assessment
  • Climate Change Impacts on Water Resources: An Overview
  • Impact of Plastics in the Socio-Economic Disaster of Pollution and Climate Change: The Roadblocks of Sustainability in India
  • Impression of Climatic Variation on Flora, Fauna, and Human Being: A Present State of Art
  • Impact of Air Quality as a Component of Climate Change on Biodiversity-Based Ecosystem Services
  • Role of Climate Change in Disasters Occurrences: Forecasting and Management Options
  • Forecasting and Management of Disasters Triggered by Climate Change
  • El-Niño Southern Oscillation and Its Effects
  • Impact of Socioeconomic Parameters on Adoption of Climate Resilient Technology under Varying Vulnerability Conditions: Evidences from Himalayan Region
  • Artificial Intelligence/Machine Learning Techniques in Hydroclimatology: A Demonstration of Deep Learning for Future Assessment of Stream Flow under Climate Change
  • The Role of Artificial Intelligence Strategies to Mitigate Abiotic Stress and Climate Change in Crop Production
  • Application of Artificial Intelligence in Environmental Sustainability and Climate Change
  • Machine Learning Approach for Climate Change Impact Assessment in Agricultural Production
  • Climate Change: Prediction of Solar Radiation using Advanced Machine Learning Techniques
  • Concept of Climate Smart Villages using Artificial Intelligence/Machine Learning
  • Significance of Artificial Intelligence to Develop Mitigation Strategies against Climate Change in Accordance with Sustainable Development Goal (Climate Action)
  • A Cross-Sectional Study about the Impacts of Climate Change on Living Organisms: A Case Study of Odisha Province of India
  • Development of Mitigation Strategies for the Climate Change using Artificial Intelligence to Attain Sustainability
  • Role of Artificial Intelligence in Environmental Sustainability
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