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dc.contributor.editorGuo, Chao
dc.date.accessioned2025-06-17T15:36:45Z
dc.date.available2025-06-17T15:36:45Z
dc.date.issued2025
dc.identifierONIX_20250617T171318_9780854662593_111
dc.identifier.issn3049-8848
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/161539
dc.description.abstractRivers 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.
dc.languageEnglish
dc.relation.ispartofseriesEarth Sciences
dc.subject.classificationthema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBK Hydrology and the hydrosphere::RBKF Limnology (inland waters)
dc.subject.otherLimnology (inland waters)
dc.titleRiver Basin Management
dc.title.alternativeChallenges and Coping Strategies
dc.typebook
oapen.identifier.doi10.5772/intechopen.1003543
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9780854662593
oapen.relation.isbn9780854662609
oapen.relation.isbn9780854662616
oapen.imprintIntechOpen
oapen.series.number4
oapen.pages146


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