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Verlag: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032703989 ISBN 13: 9781032703985
Sprache: Englisch
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Hardcover. Zustand: new. Hardcover. This book covers major areas and recent developments in advanced technologies for treating industrial effluents contaminated with heavy metals. It also includes selected in-situ sustainability studies involving advanced computational techniques and artificial intelligence (AI), highlighting the sustainability aspects of the investigated technologies and processes. It enables readers to choose suitable treatment strategies for specific scenarios and familiarizes them with emerging computational and AI-based approaches.Features:Discusses the potential of emerging technologies for heavy metal recovery/removal from wastewaterIncludes recent developments in various wastewater treatment technologies and their implications on industrial ecosystemExplores potential applications of smart material and geo-polymeric substances for metals removal from aqueous environmentReviews the climate change and sustainability aspects of metal removal technologiesExamines computational and AI models-based approaches for heavy metal monitoring and predictionThis book is intended for researchers and graduate students in the field of environmental engineering, chemical engineering, and wastewater treatment. This book covers major areas in advanced technologies for treating industrial effluents contaminated with heavy metals. It also includes selected in-situ sustainability studies involving advanced computational techniques and artificial intelligence (AI), highlighting the sustainability aspects of the investigated technologies. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Verlag: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032703989 ISBN 13: 9781032703985
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: new. Hardcover. This book covers major areas and recent developments in advanced technologies for treating industrial effluents contaminated with heavy metals. It also includes selected in-situ sustainability studies involving advanced computational techniques and artificial intelligence (AI), highlighting the sustainability aspects of the investigated technologies and processes. It enables readers to choose suitable treatment strategies for specific scenarios and familiarizes them with emerging computational and AI-based approaches.Features:Discusses the potential of emerging technologies for heavy metal recovery/removal from wastewaterIncludes recent developments in various wastewater treatment technologies and their implications on industrial ecosystemExplores potential applications of smart material and geo-polymeric substances for metals removal from aqueous environmentReviews the climate change and sustainability aspects of metal removal technologiesExamines computational and AI models-based approaches for heavy metal monitoring and predictionThis book is intended for researchers and graduate students in the field of environmental engineering, chemical engineering, and wastewater treatment. This book covers major areas in advanced technologies for treating industrial effluents contaminated with heavy metals. It also includes selected in-situ sustainability studies involving advanced computational techniques and artificial intelligence (AI), highlighting the sustainability aspects of the investigated technologies. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Verlag: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032703989 ISBN 13: 9781032703985
Sprache: Englisch
Anbieter: AussieBookSeller, Truganina, VIC, Australien
Hardcover. Zustand: new. Hardcover. This book covers major areas and recent developments in advanced technologies for treating industrial effluents contaminated with heavy metals. It also includes selected in-situ sustainability studies involving advanced computational techniques and artificial intelligence (AI), highlighting the sustainability aspects of the investigated technologies and processes. It enables readers to choose suitable treatment strategies for specific scenarios and familiarizes them with emerging computational and AI-based approaches.Features:Discusses the potential of emerging technologies for heavy metal recovery/removal from wastewaterIncludes recent developments in various wastewater treatment technologies and their implications on industrial ecosystemExplores potential applications of smart material and geo-polymeric substances for metals removal from aqueous environmentReviews the climate change and sustainability aspects of metal removal technologiesExamines computational and AI models-based approaches for heavy metal monitoring and predictionThis book is intended for researchers and graduate students in the field of environmental engineering, chemical engineering, and wastewater treatment. This book covers major areas in advanced technologies for treating industrial effluents contaminated with heavy metals. It also includes selected in-situ sustainability studies involving advanced computational techniques and artificial intelligence (AI), highlighting the sustainability aspects of the investigated technologies. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Buch. Zustand: Neu. Advanced Technologies for the Removal of Heavy Metals from Industrial Effluents | Vineet Kumar Rathore (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2025 | CRC Press | EAN 9781032703985 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book covers major areas in advanced technologies for treating industrial effluents contaminated with heavy metals. It also includes selected in-situ sustainability studies involving advanced computational techniques and artificial intelligence (AI), highlighting the sustainability aspects of the investigated technologies.