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Flood Forecasting A Global Perspective 1st Edition Adams Thomas E Pagano

  • SKU: BELL-5432552
Flood Forecasting A Global Perspective 1st Edition Adams Thomas E Pagano
$ 31.00 $ 45.00 (-31%)

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Flood Forecasting A Global Perspective 1st Edition Adams Thomas E Pagano instant download after payment.

Publisher: Academic Press is an imprint of Elsevier
File Extension: PDF
File size: 152.46 MB
Pages: 478
Author: Adams, Thomas E.; Pagano, Thomas C
ISBN: 9780128018842, 0128018844
Language: English
Year: 2016
Edition: 1

Product desciption

Flood Forecasting A Global Perspective 1st Edition Adams Thomas E Pagano by Adams, Thomas E.; Pagano, Thomas C 9780128018842, 0128018844 instant download after payment.

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.

  • 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 have and to see how specific systems have dealt with common problems encountered
  • Presents a vision of what appears to be the future of hydrologic forecasting and difficulties facing hydrologic forecasting
  • Provides a helpful resource to facilitate improvements to existing systems based on a best practices approach

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