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Flood Forecasting Using Machine Learning Methods - (Paperback)

Flood Forecasting Using Machine Learning Methods - (Paperback) - 1 of 1
$60.99 sale price when purchased online
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About this item

Highlights

  • 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.
  • 376 Pages
  • Nature, Environmental Conservation & Protection

Description



Book Synopsis



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.

Dimensions (Overall): 9.61 Inches (H) x 6.69 Inches (W) x 1.02 Inches (D)
Weight: 1.77 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 376
Genre: Nature
Sub-Genre: Environmental Conservation & Protection
Publisher: Mdpi AG
Format: Paperback
Language: English
Street Date: February 28, 2019
TCIN: 94478469
UPC: 9783038975489
Item Number (DPCI): 247-32-5286
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 1.02 inches length x 6.69 inches width x 9.61 inches height
Estimated ship weight: 1.77 pounds
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