Availability, Spatiotemporal Characterisation, Predictability, and Impacts Goyal, Manish Kumar. creator author. aut http://id.loc.gov/vocabulary/relators/aut Rautela, Kuldeep Singh. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

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electronic resource

access IX, 102 p. 21 illus., 17 illus. in color. online resource. This book thoroughly examines aerosol pollution and aerosol atmospheric rivers (narrow corridors of concentrated suspended aerosols in the sky), exploring their significant effects on human health, the environment, and global climate. Readers will find detailed discussions on these phenomena' sources, composition, patterns, and advanced methods for their detection, monitoring, and mitigation. Each chapter examines the complex dynamics of aerosol atmospheric rivers and the use of data mining and artificial intelligence in analyzing aerosol pollution. The book also highlights the interactions between aerosol pollution, aerosol atmospheric rivers, and particulate matter concentrations with associated risk, offering practical adaptation, mitigation, and resilience strategies. Chapter 1. Understanding the significance of aerosol pollution and aerosol atmospheric rivers -- Chapter 2. Aerosol Atmospheric Rivers -- Chapter 3. Application of Data Mining and AI&ML in Aerosol Pollution and Aerosol Atmospheric Rivers -- Chapter 4. Satellite-Based Monitoring of Aerosols, AARs and Particulate Matter Concentrations -- Chapter 5. Impacts of Aerosol Pollution, AARs and PM. by Manish Kumar Goyal, Kuldeep Singh Rautela. Computational intelligence Environmental monitoring Atmospheric science Computational Intelligence Environmental Monitoring Atmospheric Science Q342 9783031667589 https://doi.org/10.1007/978-3-031-66758-9 https://doi.org/10.1007/978-3-031-66758-9 240728 20251030112655.0 978-3-031-66758-9