Neuware -Rivers are lifelines for both human societies and ecosystems, yet they face growing threats from climate change and human activities. This book offers a comprehensive exploration of the latest methods and achievements in river research to address these challenges and promote the sustainable management of river systems. The book investigates three key themes: Firstly, advanced monitoring technologies. Discover advanced techniques such as wavelet analysis, machine learning, and environmental DNA methods, which provide crucial data for assessing river health and guiding pollution control efforts. Secondly, improved modeling approaches. Explore the soil erosion potential model and the integration of big data and machine learning in hydrodynamic models, enabling more precise and effective river management. Thirdly, the usage of nature-based solutions. Nature-based river restoration was investigated through a case study in Zambia's Kitwe region, demonstrating their effectiveness in flood mitigation, disaster reduction, and ecosystem restoration. This book aims to bridge science and practice, offering innovative tools and approaches to address our rivers' pressing challenges.Books on Demand GmbH, �berseering 33, 22297 Hamburg 146 pp. Englisch.

Bestandsnummer des Verk�ufers 9780854662609

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Titel: River Basin Management - Challenges and Coping Strategies
Verlag: Intechopen M�r 2025
Erscheinungsjahr: 2025
Sprache: Englisch
ISBN-10: 085466260X
ISBN-13: 9780854662609
Einband: Buch
Zustand: Neu

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Rivers are lifelines for both human societies and ecosystems, yet they face growing threats from climate change and human activities. This book offers a comprehensive exploration of the latest methods and achievements in river research to address these challenges and promote the sustainable management of river systems. The book investigates three key themes: Firstly, advanced monitoring technologies. Discover advanced techniques such as wavelet analysis, machine learning, and environmental DNA methods, which provide crucial data for assessing river health and guiding pollution control efforts. Secondly, improved modeling approaches. Explore the soil erosion potential model and the integration of big data and machine learning in hydrodynamic models, enabling more precise and effective river management. Thirdly, the usage of nature-based solutions. Nature-based river restoration was investigated through a case study in Zambia's Kitwe region, demonstrating their effectiveness in flood mitigation, disaster reduction, and ecosystem restoration. This book aims to bridge science and practice, offering innovative tools and approaches to address our rivers' pressing challenges.

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