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Record Nr. |
UNINA9910878047403321 |
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Autore |
Goyal Manish Kumar |
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Titolo |
Aerosol Atmospheric Rivers : Availability, Spatiotemporal Characterisation, Predictability, and Impacts / / by Manish Kumar Goyal, Kuldeep Singh Rautela |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
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ISBN |
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9783031667589 |
9783031667572 |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (108 pages) |
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Collana |
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SpringerBriefs in Applied Sciences and Technology, , 2191-5318 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Computational intelligence |
Environmental monitoring |
Atmospheric science |
Computational Intelligence |
Environmental Monitoring |
Atmospheric Science |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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concentrations with associated risk, offering practical adaptation, mitigation, and resilience strategies. |
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