Bibliography of Forest Water Yields, Flooding Issues, and the Hydrologic Modeling of Extreme Flood Events

Bibliography of Forest Water Yields, Flooding Issues, and the Hydrologic Modeling of Extreme Flood Events

Author:

Publisher:

Published: 2007

Total Pages: 44

ISBN-13:

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Floods continue to cause significant damage in the United States and elsewhere, and questions about the causes of flooding continue to be debated. A significant amount of research has been conducted on the relationship between forest management activities and water yield, peak flows, and flooding; somewhat less research has been conducted on the modeling of these activities as related to flooding. This bibliography and online bibliographic database provide a searchable listing of more than 600 publications related to the interrelationships of forest and forest management on watershed and flood hydrology. Also included are publications related to the capability and limitations of currently available hydrologic models and modeling approaches, with particular emphasis on their utility for evaluating forest management effects.


Bibliography of Forest Water Yields, Flooding Issues, and the Hydrologic Modeling of Extreme Flood Events

Bibliography of Forest Water Yields, Flooding Issues, and the Hydrologic Modeling of Extreme Flood Events

Author: Eisenbies

Publisher: CreateSpace

Published: 2015-02-14

Total Pages: 42

ISBN-13: 9781508401209

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Floods continue to cause significant damage in the United States and elsewhere, and questions about the causes of flooding continue to be debated. A significant amount of research has been conducted on the relationship between forest management activities and water yield, peak flows, and flooding; somewhat less research has been conducted on the modeling of these activities as related to flooding. This bibliography and online bibliographic database provide a searchable listing of more than 600 publications related to the interrelationships of forest and forest management on watershed and flood hydrology. Also included are publications related to the capability and limitations of currently available hydrologic models and modeling approaches, with particular emphasis on their utility for evaluating forest management effects.


Forest Hydrology

Forest Hydrology

Author: Devendra Amatya

Publisher: CABI

Published: 2016-09-14

Total Pages: 309

ISBN-13: 1780646607

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Forests cover approximately 26% of the world's land surface area and represent a distinct biotic community. They interact with water and soil in a variety of ways, providing canopy surfaces which trap precipitation and allow evaporation back into the atmosphere, thus regulating how much water reaches the forest floor as through fall, as well as pull water from the soil for transpiration. The discipline "forest hydrology" has been developed throughout the 20th century. During that time human intervention in natural landscapes has increased, and land use and management practices have intensified. The book will be useful for graduate students, professionals, land managers, practitioners, and researchers with a good understanding of the basic principles of hydrology and hydrologic processes.


Flood Forecasting Using Machine Learning Methods

Flood Forecasting Using Machine Learning Methods

Author: Fi-John Chang

Publisher: MDPI

Published: 2019-02-28

Total Pages: 376

ISBN-13: 3038975486

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Nowadays, the degree and scale of flood hazards has been massively increasing as a result of the changing climate, and large-scale floods jeopardize lives and properties, causing great economic losses, in the inundation-prone areas of the world. Early flood warning systems are promising countermeasures against flood hazards and losses. A collaborative assessment according to multiple disciplines, comprising hydrology, remote sensing, and meteorology, of the magnitude and impacts of flood hazards on inundation areas significantly contributes to model the integrity and precision of flood forecasting. Methodologically oriented countermeasures against flood hazards may involve the forecasting of reservoir inflows, river flows, tropical cyclone tracks, and flooding at different lead times and/or scales. Analyses of impacts, risks, uncertainty, resilience, and scenarios coupled with policy-oriented suggestions will give information for flood hazard mitigation. Emerging advances in computing technologies coupled with big-data mining have boosted data-driven applications, among which Machine Learning technology, with its flexibility and scalability in pattern extraction, has modernized not only scientific thinking but also predictive applications. This book explores recent Machine Learning advances on flood forecast and management in a timely manner and presents interdisciplinary approaches to modelling the complexity of flood hazards-related issues, with contributions to integrative solutions from a local, regional or global perspective.


Thriving on Our Changing Planet

Thriving on Our Changing Planet

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2019-01-20

Total Pages: 717

ISBN-13: 0309467578

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We live on a dynamic Earth shaped by both natural processes and the impacts of humans on their environment. It is in our collective interest to observe and understand our planet, and to predict future behavior to the extent possible, in order to effectively manage resources, successfully respond to threats from natural and human-induced environmental change, and capitalize on the opportunities â€" social, economic, security, and more â€" that such knowledge can bring. By continuously monitoring and exploring Earth, developing a deep understanding of its evolving behavior, and characterizing the processes that shape and reshape the environment in which we live, we not only advance knowledge and basic discovery about our planet, but we further develop the foundation upon which benefits to society are built. Thriving on Our Changing Planet presents prioritized science, applications, and observations, along with related strategic and programmatic guidance, to support the U.S. civil space Earth observation program over the coming decade.