Quantitative Information Fusion for Hydrological Sciences

Name: Quantitative Information Fusion for Hydrological Sciences
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642094613
Price: 2286 CZK
Availability: InStock

Autor: Xing Cai, T.-C. Jim Yeh

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Dostupnost: Skladem u dodavatele

Odesíláme za 5-8 dnů

2 286 Kč

In this rapidly evolving world of knowledge and technology, do you ever wonder how hydrology is catc...

Informace o knize

Autor

Xing Cai, T.-C. Jim Yeh

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2010

Stránek

218

EAN

9783642094613

ISBN

3642094619

Enbook ID

01654356

Vydavatel

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Hmotnost

355

Rozměry

155 x 235 x 13

Kompletní popis

In this rapidly evolving world of knowledge and technology, do you ever wonder how hydrology is catching up? Here, two highly qualified scientists edit a volume that takes the angle of computational hydrology and envision one of the science s future directions namely, the quantitative integration of high-quality hydrologic field data with geologic, hydrologic, chemical, atmospheric, and biological information to characterize and predict natural systems in hydrological sciences.In a rapidly evolving world of knowledge and technology, do you ever wonder how hydrology is catching up? This book takes the angle of computational hydrology andenvisions one of the future directions, namely, quantitative integration of high-quality hydrologic field data with geologic, hydrologic, chemical, atmospheric, and biological information to characterize and predict natural systems in hydrological sciences.Intelligent computation and information fusion are the key words. The aim is to provide both established scientists and graduate students with a summary of recent developments in this topic. The chapters of this edited volume cover some of the most important ingredients for quantitative hydrological information fusion, including data fusion techniques, interactive computational environments, and supporting mathematical and numerical methods. Real-life applications of hydrological information fusion are also addressed.

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