Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence

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 INDICE: 1. Climate uncertainties and biodiversity: An overview 2. Historical perspectives on climate change and its negative impacts on the nature 3. Impact of climate change on water quality and its assessment 4. Climate change impacts on water resources and adaptation strategies 5. Impact of Plastics in the Socio-economic disaster of Climate Change: The Roadblocks of Sustainability 6. Impression of Climatic Variation on Flora, Fauna and Human Being: A present State of Art 7. Impact of air quality as a component of climate change on biodiversity-based ecosystem services 8. Role of Climate Change in disasters occurrences: Forecasting and Management options 9. Forecasting and management of disasters triggered by climate change 10. El-Niño Southern Oscillation and its Effects 11. Impact of socio-economic parameters on adoption of climate resilient technology under varying vulnerability conditions: Evidences from Himalayan Region 12. Modelling and forecasting of climate change effects using artificial intelligence techniques 13. The role of artificial intelligence strategies to mitigate abiotic stress and climate change in crop production 14. Application of Artificial Intelligence in Environmental Sustainability and Climate Change 15. Machine learning approaches for climate change impact assessment in agriculture production 16. Benchmarking of traditional and advanced machine Learning modelling techniques for prediction of solarradiation 17. Concept of climate smart villages using artificial intelligence/machine learning 18. Significance of AI to develop mitigation strategies against climate change in accordance with sustainable development goal (climate action) 19. A cross-sectional study about the impacts of climate change on the flora, fauna and human society of Odisha, India 20. Development of mitigation strategies for the climate change using artificial intelligence to attain sustainability 21. Role of artificial intelligence in environmental sustainability.

• ISBN: 978-0-323-99714-0
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 400
• Fecha Publicación: 01/11/2022
• Nº Volúmenes: 1
• Idioma: Inglés