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Sprache: Englisch
Verlag: Academic Press 2016-04-01, 2016
ISBN 10: 0128018844 ISBN 13: 9780128018842
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Sprache: Englisch
Verlag: Elsevier Science Publishing Co Inc, 2016
ISBN 10: 0128018844 ISBN 13: 9780128018842
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Verlag: Elsevier Science Publishing Co Inc, 2024
ISBN 10: 044314009X ISBN 13: 9780443140099
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Sprache: Englisch
Verlag: Elsevier Science Publishing Co Inc, US, 2016
ISBN 10: 0128018844 ISBN 13: 9780128018842
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In den WarenkorbPaperback. Zustand: New. Flood Forecasting: A Global Perspective describes flood forecast systems and operations as they currently exist at national and regional centers around the globe, focusing on the technical aspects of flood forecast systems. This book includes the details of data flow, what data is used, quality control, the hydrologic and hydraulic models used, and the unique problems of each country or system, such as glacial dam failures, ice jams, sparse data, and ephemeral streams and rivers. Each chapter describes the system, including details about its strengths and weaknesses, and covers lessons learned. This helpful resource facilitates sharing knowledge that will lead to improvements of existing systems and provides a valuable reference to those wishing to develop new forecast systems by drawing on best practices.
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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 494 | Sprache: Englisch | Produktart: Bücher | Flood Forecasting: A Global Perspective, Second Edition covers hydrologic forecasting systems on both a national and regional scale. This updated edition includes a breakdown by county contribution and solutions to common issues with a wide range of approaches to address the difficulties inherent in the development, implementation and operational success of national-scale flood forecasting systems. Special attention is given to recent advances in machine learning techniques for flood forecasting. Overall, the information will lead to improvements of existing systems and provide a valuable reference on the intricacies of forecast systems in different parts of the world.
Taschenbuch. Zustand: Neu. Flood Forecasting | A Global Perspective | Thomas E. Adams (u. a.) | Taschenbuch | Einband - fest (Hardcover) | Englisch | 2016 | Academic Press | EAN 9780128018842 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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In den WarenkorbKartoniert / Broschiert. Zustand: New. Covers global systems allowing readers to see a worldwide perspective with different approaches used by existing flood forecast systems Provides historical coverage allowing readers to understand why forecast systems have developed as they.
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In den WarenkorbZustand: New. Covers global and regional systems, thus allowing readers to understand the different forecasting systems and how they developedOffers practical applications for groups trying to improve existing flood forecasting systemsIncludes i.
Sprache: Englisch
Verlag: Elsevier Science Publishing Co Inc, US, 2016
ISBN 10: 0128018844 ISBN 13: 9780128018842
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In den WarenkorbPaperback. Zustand: New. Flood Forecasting: A Global Perspective describes flood forecast systems and operations as they currently exist at national and regional centers around the globe, focusing on the technical aspects of flood forecast systems. This book includes the details of data flow, what data is used, quality control, the hydrologic and hydraulic models used, and the unique problems of each country or system, such as glacial dam failures, ice jams, sparse data, and ephemeral streams and rivers. Each chapter describes the system, including details about its strengths and weaknesses, and covers lessons learned. This helpful resource facilitates sharing knowledge that will lead to improvements of existing systems and provides a valuable reference to those wishing to develop new forecast systems by drawing on best practices.
Taschenbuch. Zustand: Neu. Neuware - Flood Forecasting: A Global Perspective, Second Edition covers hydrologic forecasting systems on both a national and regional scale. This updated edition includes a breakdown by county contribution and solutions to common issues with a wide range of approaches to address the difficulties inherent in the development, implementation and operational success of national-scale flood forecasting systems. Special attention is given to recent advances in machine learning techniques for flood forecasting. Overall, the information will lead to improvements of existing systems and provide a valuable reference on the intricacies of forecast systems in different parts of the world.