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Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence
Covers the breadth of artificial intelligence and machine learning techniques available to measure, predict and limit the effects of climate change
Arun Lal Srivastav (Edited by), Ashutosh Kumar Dubey (Edited by), Abhishek Kumar (Edited by), Sushil Kumar Narang (Edited by), Moonis Ali Khan (Edited by)
9780323997140, Elsevier Science
Paperback / softback, published 16 November 2022
498 pages
23.5 x 19 x 3.1 cm, 0.45 kg
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.
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
Subject Areas: Meteorology & climatology [RBP], Life sciences: general issues [PSA]
